Keywords
microvascular networks, vasculogenesis, ETV2, iPSC-EC differentiation,
microphysiological models
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Abstract
Patient-specific microphysiological models, exemplified by organs-on-a-chip and organoids,
have become a valuable tool for broad applications, revolutionizing biomedical research.
However, limitations persist, with functional vasculature being a significant challenge.
Generating functional human induced pluripotent stem cell (h-iPSC) derived endothelial cells (h-
iECs) represent an urgent need. With the discovery of ETV2’s determinant role in specifying EC
lineages during differentiation, researchers have adopted techniques involving ETV2
overexpression to produce h-iECs more efficiently and consistently. However, the capacity of
these cells to form functional vasculatures has not yet been thoroughly investigated. Here, we
generated multiple h-iPSC lines with inducible ETV2 expression, and subsequently
differentiated them into h-iECs, which were validated functionally and by key endothelial
markers and RNA-seq analysis. These cells are capable of self-organizing into stable
microvascular networks (MVNs) in a microfluidic chip reproducibly, forming lumenized and
functional vessels that mimic the in vivo capillary bed in both morphology and function – a
Result
not achieved using h-iECs differentiated with conventional two-step methods using the
same h-iPSC lines. Furthermore, complex microphysiological models featuring perfusable
vasculature were also successfully developed using ETV2 activated h-iECs, demonstrated with
vascularized tumor and blood-brain barrier (BBB) models. Additionally, by pooling genetically
engineered h-iPSCs with inducible ETV2, we effectively employed an orthogonally induced
differentiation approach to enhance vascularization of an organoid model. Our methodology
opens avenues in precision medicine, leading to personalized microphysiological models with
perfusable vasculature for various applications.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
1. Introduction
Recent decades have witnessed an explosive growth in the development and application of in
vitro microphysiological models, revolutionizing the field of biomedical research. Two
prominent examples are organ-on-a-chip and organoid models (1, 2). Despite fundamental
differences in design and engineering principles, both approaches aim to build multicellular in
vitro organotypic models recapitulating the physiology and functionality of corresponding
organs. They have already demonstrated tremendous potential in drug development, regenerative
therapy, personalized medicine and mimicking organ level development and disease, bridging
the gap between traditional cell culture models and whole-animal experiments (3-6). Despite
these considerable achievements and rapid evolution, this field still faces limitations and unmet
needs that hinder its wider application and limit broader impact. One major challenge is the lack
a vasculature with consistent form and function (7-9). For example, without a perfusable
vasculature, nutrients and oxygen cannot efficiently reach the innermost regions of many
organoid models, leading to the formation of a necrotic core, which hinders proper cellular
function and compromises the overall viability and functionality of the model. Additionally,
since vasculature is involved in almost all physiological and pathological events, it is
indispensable for mimicking higher-level organ functions such as the innate or adaptive immune
response mediated by circulating cells and facilitating multi-organ interactions.
Endothelial cells (ECs), which form the interior lining of blood vessels, are an essential
component of vasculature. Advances in human induced pluripotent stem cells (h-iPSCs) have
opened exciting avenues to generate patient-specific ECs for engineering vascularized
autologous microphysiological models (10). Conventional differentiation methods, also known
as directed differentiation, involve a two-step process. Initially, h-iPSCs are differentiated into
mesodermal progenitor cells (hMPCs) by activating Wnt pathways, followed by a vascular
specification step utilizing vascular endothelial growth factor (VEGF) signaling (11, 12).
However, those protocols suffer from certain limitations. Firstly, the yield of differentiated ECs
is generally low, with most reported protocols achieving less than a 20% yield of ECs in the
differentiated cell populations (12, 13). Additionally, achieving consistent and reliable
differentiation across different h-iPSC lines remains challenging, likely due to the biological
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
variabilities inherent in each h-iPSC line and the use of undefined components, such as fetal
bovine serum (FBS), during culture or differentiation (14). ETS variant transcription factor 2
(ETV2) has been reported as a crucial regulator of vascular cell development (15-18). Following
the pioneering work of Morita et al, who demonstrated the trans-differentiation of human
fibroblasts into functional endothelial cells through ETV2 activation, extensive research has
focused on understanding the role of ETV2 in specifying cells towards endothelial and
hematopoietic lineages (19-23). ETV2 activation has also been combined with orthogonal forced
overexpression of other transcription factors (TFs) to co-differentiate h-iPSCs into distinct cell
types simultaneously, facilitating the engineering of vascularized tissues or organoids (24).
Several h-iEC differentiation protocols involving ETV2 overexpression have also been proposed,
either through temporal delivery of modified mRNA encoding ETV2 or by introducing a
doxycycline-induced ETV2 expression system (25, 26). Both approaches achieved exceedingly
high efficiency (>90%) in differentiating various human iPSC lines to ECs (25, 26). Previous
studies have demonstrated that that ETV2 overexpression enhances the vasculogenic capacity of
ECs (27), and the functional competence in forming functional MVNs in vitro. However, the
enormous potential of transient expression protocols with a variety of iPS cell lines and in a
variety of settings is still under investigation and represents a continuing need to establish the
full range of applications.
In this work, we adapted previous protocols (23, 25, 26) to establish multiple h-iPSC lines with
inducible ETV2 and subsequently differentiated them into h-iECs in a robust and efficient
manner. We demonstrate the functional competence of these h-iECs by successfully generating
capillary-like perfusable MVNs in vitro with several commonly used iPS cell lines, which cannot
be formed using h-iECs derived from the same lines using the conventional two-step
differentiation method. Moreover, we further establish the broad applicability of those functional
h-iECs by i) developing a vascularized tumor model to evaluate chimeric antigen receptor (CAR)
T-cell killing efficiency, and ii) demonstrating enhanced internal vascularization of a liver
organoid using an orthogonally induced differentiation approach (28).
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
2. Results
2.1. Efficient and robust differentiation of h-iECs through transient activation of ETV2
Building on previous studies (23, 25), we have adopted a differentiation protocol using
doxycycline (Dox)-induced ETV2 overexpression in pre-programmed h-iPSCs. While a recent
study by Luo et al. (26) reported a similar approach, our work differs in ETV2 constructs,
transfection method, and replating strategies. Two types of plasmids were constructed and
transfected with corresponding methods into various h-iPSC lines (Figure S1a). Consistent with
the methods developed previously, we first differentiated h-iPSCs into hMPCs through a two-
day treatment of the glycogen synthase kinase 3 inhibitor CHIR99021 (Figure 1a,f), followed
immediately by a 24-hour induction of ETV2 overexpression via Dox, in combination with
VEGF, FGF, and other growth factors to promote the conversion of hMPCs into h-iECs (Figure
1a).
We first compared our transient protocol with the conventional 10-day differentiation approach
(12), which usually yields differentiation efficiencies of less than 20% (Figure S1b). Consistent
with Luo et al (26) we found that transient activation of ETV2 significantly enhanced the
efficiency of differentiation. We used multiple EC markers, including CD31, CD34, VEGFR2
and UEA-I, to characterize h-iECs. By day 7, a majority of the cells had successfully
differentiated into EC lineages (Figure 1b). Notably, the yield of h-iECs was substantially
improved, resulting in a more than tenfold increase in the number of ECs compared to the
conventional, two-step method without transient ETV2 activation (Figure 1e). The addition of
Dox to the culture media facilitated rapid and uniform expression of ETV2 (Figure 1f), which is
crucial for efficient differentiation. Immunostaining of those h-iECs at day 7 during
differentiation revealed abundant and uniform expression of the EC marker CD31 (Figure 1f),
consistent with flow cytometry data.
To identify potential differences between h-iECs generated using our protocol and primary ECs,
we conducted bulk RNA-seq analysis on all three h-iEC samples differentiated through transient
activation of ETV2. The undifferentiated parental h-iPSCs were included as negative controls,
while human umbilical vein endothelial cells (HUVECs) and human brain microvascular
endothelial cells (hBMVECs), two primary EC types utilized in this study to form MVNs, served
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
as positive controls. Principal component analysis (PCA) revealed that various h-iECs clustered
more closely with primary HUVECs and hBMVECs, comparing with their parental h-iPSCs,
indicating a successful transcriptional transition towards an endothelial phenotype (Figure 1c),
which is further substantiated by hierarchical clustering and pairwise correlations (Figure 1d).
2.2. Transient activation of ETV2 renders h-iECs with enhanced vasculogenesis capacity to
form functional MVNs in vitro
We next assessed h-iECs’ functionality, specifically focusing on their capacity to form capillary-
like vascular networks in vitro when co-cultured with supporting cells (human lung fibroblasts,
HLFs, in this case) (Figure 2a). None of the h-iECs differentiated with the conventional two-step
Method
without ETV2 activation formed well-connected vascular networks, and no patent
lumens could be identified with dextran perfusion (Figure 2b, Figure S2a). In contrast, h-iECs
differentiated with transient ETV2 activation self-organized into stable lumenized MVNs, as
evidenced by successful dextran perfusion (Figure 2c, Figure S2). It is worth mentioning that due
to the remarkably high differentiation efficiency resulting from ETV2 activation, we were able to
utilize the differentiated cells directly to form MVNs without the need for cell sorting.
Additionally, we found that h-iEC MVNs formed with high serum (10% FBS) culture medium
were more robust and fully perfusable than ones formed with 2% FBS (Figure 2c). Characteristic
markers of ECs and ECM (CD31, VE-CAD, ZO-1 and collagen IV) are clearly evident in the
vascular networks formed within the device (Figure 2d). When we characterize the
morphological parameters of MVNs, we found that the networks formed with h-iECs exhibited
smaller vessel diameter with more branches compared to those formed with HUVECs, the most
commonly used ECs for in vitro MVNs models (Figure 2e-h). These morphological metrics of
narrower lumens and greater branching density are hallmarks of capillary architecture,
suggesting the formation of more capillary-like vascular bed with h-iECs.
To further evaluate the functionality of the engineered MVNs, we measured vascular
permeability, a critical aspect of their functionality, by perfusing 40 kDa dextran in MVNs
formed by HUVECs or h-iECs, both with hLFs as supporting stromal cells. Fluorescence
imaging at 0 and 6 min post-perfusion revealed only a slight increase in background
fluorescence, indicating good permeability within the networks (Figure 2i). We found h-iEC-
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
derived MVNs exhibit similar permeability to HUVEC-based MVNs (Figure 2j), highlighting
the functional capability of the differentiated h-iECs.
Next, we further explored the application of these functional h-iECs by examining their potential
for forming other organotypic MVN models. Following the protocol that we developed
previously (29), we engineered an in vitro BBB model consisting of h-iECs, co-cultured with
human primary brain pericytes (PCs), and astrocytes (ACs). h-iECs developed into a fully
perfusable MVN with PCs and ACs residing in the interstitial space surrounding the
microvessels (Figure S2d). PCs and ACs were in direct contact with endothelium, as described in
other similar brain MVN models (30, 31).
2.4 Perfusion of h-iECs with immune cells
We next tested the vasculogenesis capacity of these h-iECs differentiated with transient ETV2
activation seeded in a much larger microfluidic device with a circular (5mm diameter) central
region. Well-connected vascular networks still formed across the entire gel region, as confirmed
by the successful perfusion of peripheral blood mononuclear cells (PBMCs) (Figure 3a).
Functionality of the MVNs was further confirmed with the extravasation of PBMCs into the
extracellular space through vessel walls. Moreover, PBMCs pre-treated with phytohemagglutinin
(PHA) lead to significantly increased extravasation events, which suggests the PBMC-EC
interaction can be faithfully recapitulated with this system (Figure 3b-d).
2.4 Vascularized tumor spheroid model with h-iECs
Many groups, including our own, are currently developing methods to grow perfusable
tumoroids or tumor cell spheroids for studies of cancer metastasis (32-36). We therefore sought
to demonstrate a vascularized tumor-on-a-chip model to investigate the anti-tumor activity of
CAR-T cells. To facilitate the formation of open vessels between micro-posts and capillary-like
MVNs throughout the central gel region with robust development of fully perfusable MVNs, we
adopted a previously reported 2-step seeding strategy (as illustrated in Figure 4a) (37). We
observed the formation of a dense capillary-like vessel network with connected patent lumens
surrounding the embedded tumor spheroid, as evidenced by successful dextran perfusion (Figure
4b). Although the majority of the vessels were at the periphery of the tumor spheroid, we also
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
observed vessels sprouting into the tumor region, effectively recapitulating certain aspects of the
tumor microenvironment in vitro.
Control T cells or CAR-T cells (with an approximate 25% CAR positive rate, Figure 4c) were
perfused into the media channel, where they then entered into the tumoral MVNs, extravasated,
and interacted with tumor cells. We assessed the T cell response using dead cell staining and
cytokine secretion analysis. 72 hours after perfusion, we observed higher dead cell densities in
the CAR-T cell groups compared to the control T cell group (Figure 4d). Media from devices
were analyzed for IFN𝛾, an indicator of immune activation and antitumor response, using the
enzyme-linked immunoassay (ELISA). The results indicated a stronger response from CAR-T
cells in the MVNs with an embedded tumor spheroid, compared to control T cells or CAR-T
cells in MVNs lacking tumor (Figure 4d). Collectively, these data demonstrate the efficacy of
this vascularized tumor spheroid model in evaluating CAR-T cell responses to tumor cells in
vitro. It serves as a valuable platform for studying the interactions between immune cells and
tumors in a more physiologically relevant microenvironment and also offers the prospect of
creating an isogenic model if patient-derived iPSCs and immune cells are used.
2.5 Enhanced vascularization of a liver organoid model through orthogonal differentiation
ETV2-expressing pluripotent stem cells have been utilized to vascularize various organoid
models (38). Here, we aim to develop complex vascularized organoid models by simultaneously
co-differentiating h-iPSCs through overexpression of certain TFs. Previously, Guy et al reported
a 2-D method to generate a liver bud-like structure containing hepatocytes, ECs and stromal cells
by inducing a wide range of GATA6 expression in a pluripotent cell population using a Dox-
inducible system (28). We first sought to reproduce a similar multicellular liver bud-like
structure in a 3D cell aggregate by inducing heterogeneous expression of GATA6 (Figure 5a).
Notably, our results showed a clear expression of CEBPα, CD31 and desmin (Figure 5c, Figure
S3), indicating the successful formation of a liver bud-like niche consisting of hepatocytes, ECs
and stellate cells. However, we observed that ECs only formed in small, scattered clusters and
failed to establish well-connected vascular networks.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
To enhance vascularization and improve vascular network connectivity within the organoids, we
mixed GATA6-h-iPSCs with HUVECs, which are a commonly used endothelial cell type for
vascularizing organoid models (39-41). However, this led to a complete separation of the two
cell types within 2 days (Figure 5b), possibly due to differences in cell adhesion molecules. Next,
we adopted a new approach by pre-mixing GATA6-h-iPSCs with ETV2-h-iPSCs in one-pot
culture conditions, similar to the orthogonal differentiation method established by Skylar-Scott et
al (24). When GATA6 and ETV2 h-iPSCs were mixed and co-cultured, single integrated
embryoid bodies were formed with interspersed cells (Figure 5b).
We then produced liver organoids with improved vascularization by pooling isogenic GATA6-h-
iPSCs and 20% or 40% ETV2-h-iPSCs to form embryoid bodies with a 5-day transient activation
of pre-programmed TFs. At day 22, compared with GATA6-only organoids, organoids
composed of mixed cell populations exhibited extensively enriched vascular networks, as
marked by CD31 (Figure 5c, Figure S4). Zoom-in and cross-sectional images further revealed
that in GATA6-only organoids, CD31⁺ signals were sparse and discontinuous, lacking organized
structure. In contrast, organoids containing 20% or 40% ETV2-h-iPSCs developed continuous
and branching CD31⁺ networks that resembled vascular structures. Notably, in these mixed
organoids, we also observed the formation of lumen-like structures, indicative of endothelial tube
morphogenesis and improved vascular maturation. Detailed characterization revealed that
organoids composed of mixed cell populations had significantly improved vascular connectivity,
as quantified by dominant skeletal ratio (proportion of the longest skeleton path relative to the
total path length of all skeletons) and branching factors (the ratio between junction numbers and
endpoint numbers), while maintaining the essential function of urea production (Figure 5e,f,g).
Interestingly, we found the initial cell composition directly affected the spatial distribution of the
cells in the organoid, particularly affecting arrangement of hepatocytes and ECs. By day 22, all
ECs in the GATA6-only organoids were found in the interior of the organoid, surrounded by
hepatocytes that were distributed both at the periphery and throughout the organoid, as depicted
in the cartoon and illustrated with single-slice immunostaining images (Figure 5c). However,
when mixing with 20% ETV2 h-iPSC initially, the organoid self-organized into a dumbbell-like
structure, with one side maintaining a similar polarity to that of the GATA6-only organoids. On
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
the other side, the polarity was inverted, with ECs encapsulating hepatocytes. Increasing the
initial ETV2 population to 40% resulted in the day 22 organoid adopting a spherical shape like
GATA6-only organoids, but with a complete inversion of polarity. In this case, hepatocytes were
located in the interior of the organoid, encapsulated by ECs. These distinct morphological
patterns and cell distribution arrangements were consistently observed in all the experiments,
supporting the trends we described here (Figure 5c, Figure S4).
3. Discussion
h-iECs hold great promise for a myriad of scientific and clinical applications in regenerative
medicine and vascular biology. By offering a renewable and autologous source of ECs, h-iECs
open new avenues for disease modeling, drug discovery, and personalized medicine, particularly
when combined with advanced microphysiological systems (42, 43). Despite tremendous efforts
devoted to the development of improved differentiation methods with higher efficiency and
robustness, there remains a need for competent ECs to engineer microphysiological systems with
functional MVNs (11, 44, 45). We demonstrate that the transient activation of ETV2 resulted in
h-iECs with enhanced vasculogenesis capacity to form functional MVNs in a robust manner. The
underlying mechanisms that underpin this enhanced vasculogenic capacity in h-iECs to form
functional lumens remain elusive, since formation of MVNs is a highly orchestrated process
involving multiple interrelated events, such as EC migration and proliferation, ECM remodeling,
lumen formation and stabilization, etc. (46-48). Notably, using mature human ECs, Palikuqi et al
demonstrated that transient reactivation of ETV2 ‘resets’ the vasculogenic memory of mature
ECs to an early embryonic stage, converting these ECs into adaptable, vasculogenic cells.
Further investigation revealed that ETV2 induces tubulogenic pathways via chromatin
remodeling and RAP1 activation, which promotes the formation of durable lumens (18, 27).
Recent studies from the Melero-Martin group have extensively discussed the advantages of Dox-
inducible ETV2 endothelial cell differentiation, highlighting its efficiency, reproducibility,
technical improvements, developmentally relevant induction, and comparisons with alternative
approaches, including piggyBac and other transfection systems (26). Here, we focus on the
application of these cells in microphysiological systems. Currently, vasculature is often
integrated into complex multi-culture systems to mimic higher-level organ functions or facilitate
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
multi-organ interactions (36, 38, 39, 49). In these complex in vitro systems, the
microenvironment (the choice of hydrogel scaffold, composition of culture medium and growth
factors, etc.) must be carefully designed to support the development and growth of all the cellular
components. That is, h-iECs must be able to form functional MVNs under sub-optimal
conditions, presenting a considerable challenge for their vasculogenesis capacity. Our findings
demonstrate that the h-iECs generated with our protocol offer clear advantages for engineering
complex microphysiological systems featuring self-organized MVNs, as the brain MVN system
and vascularized tumor spheroid model demonstrated in this study. The capacity of h-iECs
derived with transient ETV2 induction to self-assemble into perfusable MVNs enables the
physiological vascularization of advanced microphysiological systems integrated into micro- and
macro-fluidic devices. While other cellular components in the models presented in this study
may come from primary cells or established cell lines, our efforts represent a crucial step towards
fully patient-specific vascularized models.
HUVECs have frequently been used as EC sources to incorporate vasculature into organoid
models due to their accessibility and ease of manipulation. However, their typical application
involves co-culturing with organoids or other cell types once they have reached a mature state,
often resulting in limited vascularization (41, 50). To address this limitation, one approach is to
synchronize the vascular development process with that of the organoid. Our attempts to
combine HUVECs with pluripotent stem cells led to a complete phase separation during
embryoid body formation, a critical stage in the development of numerous organoid models.
Using the dox-inducible system offers advantages in the orthogonal differentiation of multiple
cell types. Leveraging our understanding of specific TFs such as GATA6 and ETV2, which
respectively guide the differentiation of liver-bud-like structures and ECs, we effectively
engineered liver organoids exhibiting improved vascularization. This was accomplished by
overexpressing GATA6 or ETV2 in a subset of cells within developing organoids. The
‘orthogonal differentiation’ approach holds great potential for broad applications in tissue
engineering, especially facilitating the generation of vascularized organoids and tissues (24).
While this orthogonal differentiation strategy succeeded in boosting vascularization in liver
organoid model, we did not observe continuous patent lumens, such as those we demonstrated
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
with suspended cells in microfluidic devices. Consequently, the critical functionality of
capillaries to provide sufficient nutrients and oxygen to nearby cellular components within the
organoid model was not achieved. This shortcoming can be attributed, in part, to the fact that h-
iECs differentiated in the organoid model did not adhere to the optimal differentiation protocols
we have established, which involves the transient and timely activation of ETV2 after converting
h-iPSCs into h-MPCs. Instead, ETV2 was continuously overexpressed for 5 days following the
formation of embryoid bodies, bypassing the intermediate mesodermal stage. Wang et al have
shown that although direct induction of ETV2 expression in h-iPSCs could generate h-iECs
rapidly and efficiently, those cells were associated with impaired functionality regarding cell
migration, angiogenesis and expansion (37). One potential solution to address this limitation is to
develop a platform capable of sensing cell state and conditionally activating expression of TFs
that automatically orchestrate the multistep differentiation towards desired cell types. Leveraging
the close relationship between expression of certain miRNA species and cell state, we
successfully engineered miRNA sensors that could conditionally activate certain TF based on the
activity of endogenous cell-state specific miRNAs (51). Another possible solution is to
incorporate proper mechanical stimuli. For instance, the beneficial role of wall shear stresses
induced by diverse flow types on angiogenesis, vasculogenesis and 3D capillary morphogenesis
has been confirmed by various studies (52-55). Furthermore, Homan et al. reported an in vitro
Method
for culturing kidney organoids placed on top of a customized hydrogel under flow,
which induced the formation of EC networks within and sprouting from the organoids (56).
Those methodologies could potentially work in a synergistic manner with integration of
microfluidic techniques, which offer the advantage of precise control over the in vitro
microenvironment, ultimately achieving the milestone of developing functional, perfusable
vasculature within organoid models.
We found a close relationship between initial cell composition and spatial distribution of various
cells in a mature liver organoid, shedding light on the complex cellular interactions that drive
organoid development and intricately shape its spatial arrangement. Furthermore, this inversion
of polarity holds the potential to establish full integration of pre-vascularized organoids with an
in vitro capillary bed to achieve functional anastomoses, thereby enabling continuous perfusion.
For GATA6-only organoids, all ECs resided in the interior of the organoid. In this scenario, both
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
the internal vasculature of the organoid and the external vasculature of in vitro MVNs faced
challenges in breaching the 'shell' of the organoid to establish functional connections. In contrast,
when mixing with 40% ETV2-h-iPSC initially, a complete polarity inversion occurred, resulting
in the outer ‘shell’ being composed of ECs. This configuration allows for direct physical contact
between the vasculature of the organoid and the outer capillary bed, promoting the potential for
spontaneous anastomosis.
4. Conclusion
We differentiated h-iECs through transient activation of ETV2, which consistently yields
remarkably high differentiation efficiency among all the tested h-iPSC lines. Furthermore, we
assessed the functional competence of these h-iECs by successfully generating capillary-like,
perfusable MVNs in vitro, which cannot be obtained through conventional h-iEC differentiation
Methods
using the same h-iPSC lines. To demonstrate the application of those competent h-iECs
in engineering complex vascularized microphysiological systems, we developed a vascularized
tumor model for assessing CAR-T cell killing efficiency, as well as a BBB model. Additionally,
by pooling genetically engineered h-iPSCs with inducible TFs, we effectively employed an
orthogonally induced differentiation approach to develop liver organoid models with enhanced
vascularization. These methods could have broad applications in precision medicine, enabling
the development of autologous vascularized microphysiological models for comprehensive drug
and treatment evaluations. Furthermore, its potential extends to producing clinical-grade h-iECs
for various regenerative therapies.
5. Experimental Section/Methods
TF-induced h-iPSC cell lines:
Plasmids and transfection:
Human ETV2 was cloned into the pCW57-GFP-P2A-MCS (Neo) plasmid using Gibson
assembly method to construct pCW57-GFP-P2A-ETV2 plasmid. ETV2 was cloned from pSIN4-
EF1a-ETV2-IRES-Puro plasmid, a gift from Igor Slukvin (Addgene plasmid # 61061;
http://n2t.net/addgene:61061; RRID:Addgene_61061) (57). pCW57-GFP-P2A-MCS (Neo) was a
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
gift from Adam Karpf (Addgene plasmid # 89181; http://n2t.net/addgene:89181;
RRID:Addgene_89181) (58). The pCW57-GFP-P2A-ETV2 construct was co-transfected with
psPAX2, pMD2.G for packaging into HEK293T cells and the supernatant of the HEK293T
culture was collected on day 2 and 3 post-transfection, followed by Lenti-X™ Concentrator
(Takara Bio) mediated concentration. Alstem iPS01 or iPS11 cells were incubated with the
concentrated lentivirus in the presence of polybrene, 8 µg/ml, overnight. Cells were then selected
with G418 (Invivogen) for a week. Transfected iPSCs were dissociated into single cells and
subsequently sorted using BD FACSAria™ III Cell Sorter to form single clones in 96-well plate.
Single clones were duplicated and assessed for successful transfection by detecting GFP signals
induced by addition of 1 μg/mL doxycycline for 24 hours. Successfully transfected iPSC clones
were expanded and used for subsequent experiments.
The modular PiggyBac plasmid cloning scheme used in this study is based on the extended
MoClo scheme published previously (59, 60). In brief, genetic elements are first cloned into
Level 0 plasmid backbones corresponding to Insulators (pL0-I), Promoters (pL0-P), 5’ UTR
(pL0-5), Gene (pL0-G), 3’ UTR (pL0-3) and Terminators (pL0-T). Then the genetic elements
can be cloned into positioning backbones for transcriptional unites (pL1s), with ST1-2, ST2-3
and ST3-4X for position 1, 2 and 3, respectively. To make a genetic circuit to express ETV2 in
an inducible manner, the ST1-2 backbone contains a TRE3 inducible promoter driving the
expression of ETV2-P2A-EYFP, the ST2-3 backbone harbors a constitutive promoter for
expressing rtTA3, and the ST3-4X backbone encodes a hygromycin resistance gene. Finally, the
pL1s can be cloned into Level 2 vectors which includes a regular vector for transfection-based
assays or PiggyBac transposon vector that can be stably integrated into the chromosome. The
PiggyBac Inverted Terminal Repeats (ITRs) sequence was obtained as PCR products from
AddGene (plasmid #40973) and were cloned into the flanking areas of the insertion site on the
pL2 backbone using an infusion protocol (Takara Bio USA) (61). PiggyBac transposase was
reconstructed based on the sequence published previously as a double-stranded gBlock and
cloned into pL0-G (62). The sequences of transcriptional factor and proteins were based on
UniProt.org or previous publication, the DNA sequences were ordered as double-stranded
gBlocks from IDT and cloned into pL0-G.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Genetic circuits were stably integrated into PGP1 h-iPSCs by a PiggyBac system using
Lipofectamine Stem (Invitrogen) in a 24-well format following manufacturer’s protocol.
Complexes were prepared in Opti-MEM (Gibco). h-iPSCs were trypsinized, counted and plated
on 24-well plate the day before transfection with the concentration of 4×104 cells per well in 0.5
ml of complete growth medium. Cells should be 50~80% confluent on the day of transfection.
The cells are then incubated at 37°C and 5% CO2 for 18-24 hours post-transfection before
assaying for transgene expression. A plasmid encoding the PiggyBac transposase was co-
transfected with the transposon vectors in a molar ratio of 1:3, while maintaining a total DNA
amount of 500 ng per well in a 24 well plate format. Two days after transfection, Hygromycin B
(InvivoGen) was added to the mTeSR Plus medium at a concentration of 100 μg/mL. This
selection step was conducted over a period of two weeks to enrich the population of h-iPSCs
expressing the transgenes. Subsequently, the surviving h-iPSCs were sorted to isolate
monoclonal populations using a fluorescence-activated cell sorter (FACS) in a 96-well plate
format. After an additional two weeks of culture, only the h-iPSC colonies demonstrating ETV2-
P2A-EYFP expression in response to 1000 ng/mL doxycycline were preserved for future
experimental use.
Cell culture:
h-iPSCs were cultured and passaged without antibiotics in mTeSR Plus medium (STEMCELL
Technologies, 100-0276) on 6-well tissue-culture plates coated with hESC-Qualified Matrigel
(Corning, 354277). For passaging, after reaching 70% confluency, h-iPSCs were washed with
phosphate buffered saline (PBS) (Gibco, 14190250) and dissociated using ReLeSR
(STEMCELL Technologies, 100-0483) following the product instruction. h-iPSCs were
passaged as small cell aggregates in 1:8 ratio supplemented with 10 µM ROCK inhibitor Y-
27632 (STEMCELL Technologies, 72304) for 1 day, followed by complete media change of
mTeSR Plus medium every other day. For cryo-preservation, cells were also dissociated with
ReLeSR, and resuspended in CryoStor CS10 (STEMCELL Technologies, 07957) as small cell
aggregates in 1:8 ratio. Vials were frozen using a CoolCell LX Freezing Container in −80 °C
overnight, and subsequently stored in liquid nitrogen for long-term storage.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Human umbilical vein endothelial cells (HUVECs) and normal human lung fibroblasts (HLFs)
were purchased from Lonza and cultured in VascuLife VEGF Endothelial Medium (Lifeline Cell
Technology) and FibroLife S2 Fibroblast Medium (Lifeline Cell Technology), respectively.
HUVECs were transduced to express cytoplasmic GFP, as described earlier (63). Pericytes (PCs)
and astrocytes (ACs) were purchased from ScienCell, cultured in corresponding growth medium
(ScienCell) on a poly-l-lysine (Sigma) coated flask. All the cells were maintained in a humidified
incubator (37 °C, 5% CO2), with the culture medium replenished every 2 days. All cell types
were used between passages 6–8.
Skov3 tumor cells expressing red fluorescent protein (RFP) were cultured in McCoy's 5A
(Modified) Medium with 10% FBS (Thermo Fisher). Peripheral blood mononuclear cells
(PBMCs) and monocytes were isolated from healthy donor’s blood by the monocyte core at
MIT. To generate CAR-T cells, PBMCs were treated with Dynabeads™ Human T-Activator
CD3/CD28 for T Cell Expansion and Activation (Thermo Fisher), along with IL-2 (18.3 ng/mL),
IL-7 (5 ng/mL), and IL-15 (5 ng/mL) in RPMI1640 with 10% heat inactivated FBS for 6 days.
On day 2, expanded cells were infected with lentivirus of mouse single chain anti-human
mesothelin specific chimeric antigen receptor overnight. Dynabeads were removed on day 6, and
transfected cells were further cultured for another 2 days without cytokines. On day 9, 99% of
cells were CD3 positive (BioLegend) and ready for experiments. Control T cells or CAR-T cells
were labeled with CellTracker green (Thermo Scientific) prior to the perfusion experiments.
Differentiation of h-iPSCs into h-iECs
Conventional two step method:
We followed the protocol established by Orlova et with slight modifications (12). h-iPSCs were
dissociated into small cell aggregates using ReLeSR and plated on Matrigel coated 6-well plate
with 1:60 ratio in mTeSR Plus medium supplemented with 10 µM Y-27632. The next day,
culture medium was changed to mTeSR Plus without Y-27632. 48 h later (day 0), mTeSR Plus
was replaced by mesoderm induction medium consisting of VEGF-A (50 ng ml-1), FGF-2 (10 ng
ml-1), BMP4 (30 ng ml-1) and CHIR (4 mM) in STEMdiff APEL2 medium (STEMCELL
Technologies, 05275). After 2 days, medium was changed to vascular specification medium
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
consisting of VEGF-A (50 ng ml-1) and SB431542 (20 mM) in APEL2 medium. vascular
specification medium was replenished at days 6 and 9.
Two step method with ETV2 activation:
Protocols were modified according to Wang et al (25). h-iPSCs were dissociated into single cells
with Accutase and plated on Matrigel coated 6-well plate with 250,000 cells per well in mTeSR
Plus medium supplemented with 10 µM ROCK inhibitor Y-27632. 24 h later (day 1), the
medium was changed to mesoderm induction medium consisting of basal medium supplemented
with 6 µM CHIR99021 (Sigma-Aldrich, SML1046). Basal medium was prepared by adding 1×
GlutaMax supplement (Thermo Fisher Scientific, 35050061) and L-Ascorbic acid (60 µg/ml,
Sigma-Aldrich, A8960) into Advanced Dulbecco’s modified Eagle’s medium (DMEM)/ F12
(Thermo Fisher Scientific,12634010). Mesoderm induction medium was replenished again on
day 2. On day 3, the medium was changed to vascular specification medium supplemented with
3 μg ml-1 doxycycline. Vascular specification medium consisting of basal medium supplemented
with VEGF-A (50 ng/ml, PeproTech, 100-20), fibroblast growth factor 2 (FGF-2, 50 ng/ml,
PeproTech, 100-18B), EGF (10 ng/ml, PeproTech, AF-100-15), and 10 µM SB431542
(Selleckchem, S1067). On day 4, vascular specification medium was replenished without
doxycycline. On day 5, h-iECs were dissociated into single cells with Accutase and plated on 1%
gelatin coated T-175 flask in expansion medium, which is consisting of VascuLife VEGF
Endothelial Medium supplemented with 8% Tetracycline Free FBS (Takara Bio USA, 631105)
and 10 µM SB431542. Expansion medium was replenished every other day.
Flow cytometry:
The expressions of CD31, CD34, VEGFR2, and UEA-I were tested by Flow cytometry (BD
LSR-II). Cells were stained with PE anti-human CD31 antibody (Biolegend, 1:100), Ulex
Europaeus Agglutinin I DyLight 649 (Vector Laboratories, 1:200), APC anti-human CD34
antibody (Biolegend, 1:100), or PE anti-human CD309 antibody (Biolegend, 1:100) on ice for 15
min. Cells were then washed twice with MACS buffer and were ready to be examined under
flow cytometry. DAPI was used to exclude dead cells.
Purification of h-iECs:
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
For h-iECs differentiated with the conventional 2-step method. On day 10, h-iECs were
dissociated into single cells and sorted via fluorescence activated cell sorting (FACS) using
CD31 and CD34 signals. The purified h-iECs were then expanded on 1% gelatin coated T75
flask, cultured in expansion medium, which is consisting of VascuLife VEGF Endothelial
Medium supplemented with 8% FBS and 10 µM SB431542. For h-iECs differentiated with 2-
step method with ETV2 activation, the differentiation efficiency is very high (>95%), so the
differentiated cells were not purified. Instead, those cells were used directly to form MVNs after
expansion.
RNA-seq analysis:
Samples from 2D cultures of three parental h-iPSC lines, the corresponding h-iECs generated
using our protocol, as well as primary HUVECs and hBMVECs, were analyzed. The groups of
PGP1 and iPS01 iPSC lines consist of two biological replicates, while all other groups consist of
three biological replicates. Total RNA extraction, library preparation, and sequencing were
performed at the Integrated Genomics and Bioinformatics Core in the Koch Institute for
integrative Cancer Research at MIT (MA, USA). Total RNA was extracted using TRIzol reagent
(Thermo Fisher Scientific) and then cleaned using Perkin Elmer Chemagic360. Sequencing
libraries were prepared with the NEBNext Ultra II Directional RNA Library Prep Kit for
Illumina (E7760; New England Biolabs). Sequencing was performed using a 100M paired-end
configuration on the Singular G4 platform.
Raw data were processed with TrimGalore (version 0.6.10) to remove adapters and low-quality
sequences, followed by quality control using FastQC (version 1.24.1) and MultiQC (version
1.24.1). Reads were aligned and quantified using HISAT2 (version 2.2.1), Samtools (version
1.20), and StringTie (version 1.20) against the human genome hg38. Differential expression
analysis was performed using DESeq2 (version 1.44.0) on counts, with thresholds at fold
change >2 and q-value <0.05. Hierarchical clustering and principal component analysis (PCA)
were conducted on rlog variance–stabilized reads (R version 4.4.1). Correlation heatmaps and
differential gene heatmaps were produced with the pheatmap package (version 1.0.12). RNA-seq
data used in this study are deposited in the BioProject database with BioProject ID
PRJNA1176017.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Device design and fabrication: Two types of microfluidic devices were used for this study: (i) A
commercially available microfluidic 3-channel chip, with one gel channel and two media
channels (idenTx 3, AIM Biotech). (ii) A three-channel device, featuring a circular central gel
channel with 5 mm diameter and two adjacent medium channels, enabling formation of MVNs
spanning over a much larger area (Figure 3b). A partial wall was designed to separate the central
gel channel and side medium channels, allowing for surface-tension-assisted filling of cell-laden
fibrin gels. Molds of the devices were designed in AutoCAD (Autodesk, Inc), and imported in
Fusion 360 (Autodesk, Inc) to generate corresponding tool paths, following by milling delrin
block with a micro-CNC milling machine (Bantam Tools). Polydimethylsiloxane (PDMS) based
microfluidic devices were then fabricated using the procedure outlined in our previous protocols
with the molds.
Microvascular Network Formation:
Cells were cultured to near-confluence prior to detachment, and seeded into the chip as
previously described. Briefly, cells were concentrated in VascuLife containing thrombin (4 U
mL-1, Sigma). Cell mixture solution was then further mixed with fibrinogen (3 mg mL-1 final
concentration, Sigma). The cell-laden fibrin solution was quickly injected into the device through
the gel loading port. Various combinations of cells were used in this study to engineer different
types of MVNs. For MVNs formed with iPSC-EC/HUVEC and HLFs, the final concentration is
8 M iPSC-EC/HUVEC mL-1 and 1 M HLFs mL-1. For brain MVNs, the final concentration is 7
M iPSC-EC mL-1, 1 M ACs mL-1, and 0.5 M PCs mL-1. After seeding, the devices were placed in
incubator for 15 min to allow complete polymerization, before adding VascuLife as culture
media. Culture medium was replenished every 24 h. All devices were kept in incubator with
daily change of culture media for 5–7 days, until perfusable MVNs were formed.
Microvascular Network Perfusion, Imaging, and Analysis:
To confirm the perfusability of MVNs, 40 kDa Texas red dextran solution was perfused into the
MVNs by generating a slight pressure gradient across the gel region. Confocal images were then
acquired using an Olympus FLUOVIEW FV1200 confocal laser scanning microscope with a 10×
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
objective. Z-stack images were acquired with a 5 µm step size. Morphological parameters were
analyzed and quantified based on collapsed z-stack images using AutoTube (64).
Measurement of Vascular Permeability:
Vascular permeability was measured following published protocols (29, 65). Briefly, 40 kDa
Texas red dextran (Invitrogen) was perfused into the microvascular networks by generating a
slight pressure gradient across the gel of the device. Confocal images were captured with a 5 µm
step size at 0 and 6 min, from which permeability was calculated. Several regions of interest
(ROIs) were captured via timelapse volumetric imaging for each device.
PBMCs Perfusion and Extravasation:
PBMCs were revived with RPMI1640 supplemented with 10% FBS, followed by staining with
Cell Tracker Green. After extensive washing, PBMCs were resuspended at the concentration of
1x106 cells/mL in a mixed media composed of 50% RPMI1640 (10% FBS) and 50% Vasculife
complete medium, supplemented with or without phytohaemagglutinin (PHA, 10 µg/mL).
Subsequently, PBMCs were perfused into MVNs that were stained with DyLight 649 labeled
UEA-I. Confocal images were taken 24 hours post perfusion to examine cell extravasation.
Formation of Vascularized Tumor Spheroid Model:
Skov3 tumor spheroid was formed following our published protocol (36). In short, Skov3 cells
were first form a core spheroid (500 cells per spheroid) in a 96-well ultra-low attachment plate
(Wako Chemicals, USA). Human lung fibroblasts (500 cells per spheroid) were loaded to the
pre-formed tumor spheroid to generate a sequential tumor spheroid. Skov3 tumor spheroids were
further cultured in McCoy's 5A (Modified) Medium supplemented with 10% FBS. MVN seeding
followed our published protocol (37). HUVEC (outer layer) solution was pipetted into the gel
inlet at a final concentration of 12x106/mL, immediately followed by aspirating from the gel
outlet. Another solution with final concentrations of 6x106/mL iPSC-ECs, 1.5x106/mL lung FBs,
and one Skvo3 tumor spheroid, was then pipetted into the same chip through the gel outlet. After
the hydrogel was polymerized, devices were cultured in Vasculife media. After 7 days, devices
were stained with DyLight 649 labeled Ulex Europaeus Agglutinin I (UEA-I, Vector
laboratories) to monitor vasculature morphology by confocal microscopy. After imaging, devices
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
were then perfused with medium containing dextran (40 kDa, Thermo Scientific) to test the
perfusability of MVNs under confocal microscope.
T Cell Perfusion in the Vascularized Tumor Device:
Control T cells or CAR-T cells were labeled with CellTracker green (Thermo Scientific) and
then perfused into MVNs at 106/mL cell density in 20 μL RPMI1640 per device. 30 mins post
perfusion, culture media made of 50% Vasculife and 50% RPMI1640 were added. Half of the
culture media in the device was replaced with fresh media daily over 3 days. On day 11,
conditioned media were collected for interferon gamma (IFNγ) detection (R&D systems).
Devices were then stained with DAPI to detect dead cells in vascularized tumor spheroids. After
washing, devices were imaged directly using confocal microscopy.
Vascularized Liver Organoid Culture:
PGP1-GATA6 and Alstem iPS01-ETV2 were dissociated when h-iPSC monolayers reach 70–
80% confluency with Accutase (Sigma-Aldrich, SCR005). Cells were then resuspended in
mTeSR Plus medium and centrifuged at 200 g for 5 min. Total of 1.2 × 104 cells were seeded
into each well of 96-well Round Bottom Ultra-Low Attachment Microplate (Corning, 7007) to
form embryoid bodies (EB), with 150 µL mTeSR Plus supplemented with 10 µM Y-27632 and 1
μg ml-1 doxycycline. Three groups with GATA6: ETV2 ratio of 10:0, 8:2, 6:4 were used in this
study. The day after aggregation, the culture medium was replaced with fresh mTeSR Plus
without Y-27632. mTeSR Plus with doxycycline was used for the first 5 days and replenished
daily. On day 6, culture media was changed to 1 to 1 mixed VascuLife and APEL2 medium,
without doxycycline, and replenished every other day. Organoids were cultured until day 22. As
control experiment, PGP1-GATA6 and HUVECs were mixed in 8:2 ratio and cultured under the
same conditions.
Immunofluorescence Staining:
For immunofluorescent staining, 2D cell culture and various MVNs were fixed by 4%
paraformaldehyde. After thorough washing with PBS, cells were permeabilized with 0.2% Triton
X-100 and then blocked with 5% Donkey serum (Millipore Sigma, D9663). Subsequently, cells
or MVNs were stained with primary antibody on a rocker at 4 °C overnight, following by
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
extensive wash with PBS on a rocker at room temperature, the cells or MVNs were then stained
with secondary antibody on a rocker at 4 °C overnight. Organoids were fixed by 4%
paraformaldehyde overnight. After thorough washing with PBS, organoids were permeabilized
with 2% Triton X-100 and then blocked with 10% Donkey serum for 1 day. Subsequently,
organoids were stained with primary antibody on a rocker at 4 °C for 2 days with antibody
dilution buffer (1% donkey serum, 0.2% Triton-X 100 in PBS), following by extensive wash
with PBS on a rocker at room temperature. The organoids were then incubated with secondary
antibody on a rocker at 4°C for 1 day. Primary antibodies used in this study are : Brachyury
(R&D Systems, AF2085, 1:100, 5 µg mL-1), ETV2 (abcam, ab181847 1:500), CD31 (abcam,
ab32457, 1:200), ZO-1 (Thermofisher, 61-7300, 1:100), VE-Cadherin (Biolegend, 348501,
1:100), Collagen IV (Thermofisher, MA1-22148, 1:500), S-100b (Sigma, S2532, 1:200),
PDGFR (abcam, ab32570, 1:200), CEBPa (R&D systems, AF7094, 2 µg mL-1), Desmin
(Thermofisher, MA5-13259, 1:100). Secondary antibodies used in this study are: Donkey anti-
Mouse Alexa Fluo 488, Donkey anti-Rabbit Alexa Fluo 568, Donkey anti-Goat Alexa Fluo 568,
Donkey anti-Sheep Alexa Fluo 647, Donkey anti-Mouse Alexa Fluo 647 (Invitrogen, 1:200).
Ulex Europaeus Agglutinin I (UEA I) was also used in this study for MVNs live stain, before
perfusing PBMCs or T cells.
Vascularized Liver Organoid tissue clearing and imaging:
The immunostained organoids were cleared with RapiClear 1.49 (SUNJin Lab, RC149001) at
room temperature overnight. The next day, cleared organoids were mounted with fresh
RapiClear reagent in iSpacer (SUNJin Lab, IS008) microchambers, with thickness of 0.5 mm.
The chambers were sealed by gently pressing coverslip around the iSpacer. Confocal images
were then acquired using an Olympus FLUOVIEW FV1200 confocal laser scanning microscope
with a 10× objective. Z-stack images were acquired with a 5 µm step size.
Morphological Analysis of Vascularized Liver Organoid:
3D volume of liver organoids was calculated based on DAPI signals from 3D confocal z-stack
using customized Matlab code. Morphological parameters of vascular network within organoids
were calculated from CD31 signals in confocal z-stack with ImageJ. Briefly, the image stack was
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
thresholded, and the 3D skeleton was subsequently extracted using skeletonize (2D/3D) plugin.
The 3D skeleton was further analyzed to get the total number of endpoints (having only one
neighboring branch connected to them) and junctions (having more than two neighboring
branches connected to them), the total vessel path length (total path length of all identified
skeleton), and the dominant vessel path length (the longest skeleton path). We further define
dominant skeleton ratio (proportion of the longest skeleton path relative to the total path length
of all skeletons) and branching factor (the ratio between junction numbers and endpoint
numbers) to better characterize the connectivity of vascular network within organoids.
Measurement of Urea Production:
QuantiChrom Urea Assay Kit (BioAssay Systems, DIUR-100) was used to measure urea
concentration following product instructions. Briefly, culture medium from day 22 organoid
were sampled and mixed with the working reagent. After incubating 50 mins at room
temperature, optical densities (OD) at 430 nm were read using BioTek Synergy Neo2 Reader.
The urea concentrations were then calculated based on OD of the sample, the blank sample, and
standard samples.
Statistics: All bar plots are shown as mean ± SD and plotted with Prism (GraphPad). All data
representation details are provided in corresponding figure captions. Statistical significance was
assessed using t-test performed in Matlab (MathWorks). * denotes p<0.05, *** denotes p < 0.01.
Supporting Information
Supporting Information is available from the Wiley Online Library or from the author.
Acknowledgements
This work was supported by the Strategic Priority Research Program of the Chinese Academy of
Sciences (XDB0820000) and Wellcome Leap HOPE Program. Shun Zhang and Zhengpeng Wan
contributed equally to this work. PBMCs were kindly provided by Prof. Bryan Bryson.
Francesca M. Pramotton was supported by the Postdoc. Mobility fellowship (P500PT 211085).
Conflicts of Interest
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
RDK is a co-founder of AIM Biotech, a company that markets microfluidic technologies. RDK
receives research support from Amgen, AbbVie, Boehringer-Ingelheim, Novartis, Daiichi-
Sankyo, Roche, Takeda, Eisai, EMD Serono, and Visterra.
Received: ((will be filled in by the editorial staff))
Revised: ((will be filled in by the editorial staff))
Published online: ((will be filled in by the editorial staff))
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
References
1. Zhang B, Korolj A, Lai BFL, Radisic M. Advances in organ-on-a-chip engineering.
Nature Reviews Materials. 2018;3(8):257-78.
2. Rossi G, Manfrin A, Lutolf MP. Progress and potential in organoid research. Nat Rev
Genet. 2018;19(11):671-87.
3. Lancaster MA, Knoblich JA. Organogenesis in a dish: modeling development and disease
using organoid technologies. Science. 2014;345(6194):1247125.
4. Hofer M, Lutolf MP. Engineering organoids. Nat Rev Mater. 2021;6(5):402-20.
5. Leung CM, de Haan P, Ronaldson-Bouchard K, Kim G-A, Ko J, Rho HS, et al. A guide
to the organ-on-a-chip. Nature Reviews Methods Primers. 2022;2(1):33.
6. Bhatia SN, Ingber DE. Microfluidic organs-on-chips. Nat Biotechnol. 2014;32(8):760-72.
7. Zhang S, Wan Z, Kamm RD. Vascularized organoids on a chip: strategies for engineering
organoids with functional vasculature. Lab Chip. 2021;21(3):473-88.
8. Grebenyuk S, Ranga A. Engineering Organoid Vascularization. Front Bioeng Biotechnol.
2019;7:39.
9. Zhang S, Kan EL, Kamm RD. Integrating functional vasculature into organoid culture: A
biomechanical perspective. APL Bioeng. 2022;6(3):030401.
10. Samuel R, Duda DG, Fukumura D, Jain RK. Vascular diseases await translation of blood
vessels engineered from stem cells. Sci Transl Med. 2015;7(309):309rv6.
11. Patsch C, Challet-Meylan L, Thoma EC, Urich E, Heckel T, O'Sullivan JF, et al.
Generation of vascular endothelial and smooth muscle cells from human pluripotent stem cells.
Nat Cell Biol. 2015;17(8):994-1003.
12. Orlova VV, van den Hil FE, Petrus-Reurer S, Drabsch Y, Ten Dijke P, Mummery CL.
Generation, expansion and functional analysis of endothelial cells and pericytes derived from
human pluripotent stem cells. Nat Protoc. 2014;9(6):1514-31.
13. Paik DT, Tian L, Lee J, Sayed N, Chen IY, Rhee S, et al. Large-Scale Single-Cell RNA-
Seq Reveals Molecular Signatures of Heterogeneous Populations of Human Induced Pluripotent
Stem Cell-Derived Endothelial Cells. Circ Res. 2018;123(4):443-50.
14. Hu S, Zhao MT, Jahanbani F, Shao NY, Lee WH, Chen H, et al. Effects of cellular origin
on differentiation of human induced pluripotent stem cell-derived endothelial cells. JCI Insight.
2016;1(8).
15. Kataoka H, Hayashi M, Nakagawa R, Tanaka Y, Izumi N, Nishikawa S, et al. Etv2/ER71
induces vascular mesoderm from Flk1+PDGFRalpha+ primitive mesoderm. Blood.
2011;118(26):6975-86.
16. Oh SY, Kim JY, Park C. The ETS Factor, ETV2: a Master Regulator for Vascular
Endothelial Cell Development. Mol Cells. 2015;38(12):1029-36.
17. Ng AHM, Khoshakhlagh P, Rojo Arias JE, Pasquini G, Wang K, Swiersy A, et al. A
comprehensive library of human transcription factors for cell fate engineering. Nat Biotechnol.
2021;39(4):510-9.
18. Gong W, Das S, Sierra-Pagan JE, Skie E, Dsouza N, Larson TA, et al. ETV2 functions as
a pioneer factor to regulate and reprogram the endothelial lineage. Nat Cell Biol.
2022;24(5):672-84.
19. Morita R, Suzuki M, Kasahara H, Shimizu N, Shichita T, Sekiya T, et al. ETS
transcription factor ETV2 directly converts human fibroblasts into functional endothelial cells.
Proc Natl Acad Sci U S A. 2015;112(1):160-5.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
20. Lange L, Hoffmann D, Schwarzer A, Ha TC, Philipp F, Lenz D, et al. Inducible Forward
Programming of Human Pluripotent Stem Cells to Hemato-endothelial Progenitor Cells with
Hematopoietic Progenitor Potential. Stem Cell Reports. 2020;14(1):122-37.
21. Linville RM, Sklar MB, Grifno GN, Nerenberg RF, Zhou J, Ye R, et al. Three-
dimensional microenvironment regulates gene expression, function, and tight junction dynamics
of iPSC-derived blood-brain barrier microvessels. Fluids Barriers CNS. 2022;19(1):87.
22. Lu TM, Houghton S, Magdeldin T, Duran JGB, Minotti AP, Snead A, et al. Pluripotent
stem cell-derived epithelium misidentified as brain microvascular endothelium requires ETS
factors to acquire vascular fate. Proc Natl Acad Sci U S A. 2021;118(8).
23. Zhang H, Yamaguchi T, Kokubu Y, Kawabata K. Transient ETV2 Expression Promotes
the Generation of Mature Endothelial Cells from Human Pluripotent Stem Cells. Biol Pharm
Bull. 2022;45(4):483-90.
24. Skylar-Scott MA, Huang JY, Lu A, Ng AHM, Duenki T, Liu S, et al. Orthogonally
induced differentiation of stem cells for the programmatic patterning of vascularized organoids
and bioprinted tissues. Nat Biomed Eng. 2022;6(4):449-62.
25. Wang K, Lin RZ, Hong X, Ng AH, Lee CN, Neumeyer J, et al. Robust differentiation of
human pluripotent stem cells into endothelial cells via temporal modulation of ETV2 with
modified mRNA. Sci Adv. 2020;6(30):eaba7606.
26. Luo AC, Wang J, Wang K, Zhu Y, Gong L, Lee U, et al. A streamlined method to
generate endothelial cells from human pluripotent stem cells via transient doxycycline-inducible
ETV2 activation. Angiogenesis. 2024.
27. Palikuqi B, Nguyen DT, Li G, Schreiner R, Pellegata AF, Liu Y, et al. Adaptable
haemodynamic endothelial cells for organogenesis and tumorigenesis. Nature.
2020;585(7825):426-32.
28. Guye P, Ebrahimkhani MR, Kipniss N, Velazquez JJ, Schoenfeld E, Kiani S, et al.
Genetically engineering self-organization of human pluripotent stem cells into a liver bud-like
tissue using Gata6. Nat Commun. 2016;7:10243.
29. Hajal C, Offeddu GS, Shin Y, Zhang S, Morozova O, Hickman D, et al. Engineered
human blood-brain barrier microfluidic model for vascular permeability analyses. Nat Protoc.
2022;17(1):95-128.
30. Winkelman MA, Kim DY, Kakarla S, Grath A, Silvia N, Dai G. Interstitial flow
enhances the formation, connectivity, and function of 3D brain microvascular networks
generated within a microfluidic device. Lab Chip. 2021;22(1):170-92.
31. Campisi M, Shin Y, Osaki T, Hajal C, Chiono V, Kamm RD. 3D self-organized
microvascular model of the human blood-brain barrier with endothelial cells, pericytes and
astrocytes. Biomaterials. 2018;180:117-29.
32. Haase K, Offeddu GS, Gillrie MR, Kamm RD. Endothelial Regulation of Drug Transport
in a 3D Vascularized Tumor Model. Adv Funct Mater. 2020;30(48).
33. Hachey SJ, Movsesyan S, Nguyen QH, Burton-Sojo G, Tankazyan A, Wu J, et al. An in
vitro vascularized micro-tumor model of human colorectal cancer recapitulates in vivo responses
to standard-of-care therapy. Lab Chip. 2021;21(7):1333-51.
34. Nguyen HT, Kan EL, Humayun M, Gurvich N, Offeddu GS, Wan Z, et al. Patient-
specific vascularized tumor model: Blocking monocyte recruitment with multispecific antibodies
targeting CCR2 and CSF-1R. Biomaterials. 2025;312:122731.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
35. Offeddu GS, Cambria E, Shelton SE, Haase K, Wan Z, Possenti L, et al. Personalized
Vascularized Models of Breast Cancer Desmoplasia Reveal Biomechanical Determinants of
Drug Delivery to the Tumor. Adv Sci (Weinh). 2024;11(38):e2402757.
36. Wan Z, Floryan MA, Coughlin MF, Zhang S, Zhong AX, Shelton SE, et al. New Strategy
for Promoting Vascularization in Tumor Spheroids in a Microfluidic Assay. Adv Healthc Mater.
2023;12(14):e2201784.
37. Wan Z, Zhong AX, Zhang S, Pavlou G, Coughlin MF, Shelton SE, et al. A Robust
Method
for Perfusable Microvascular Network Formation In Vitro. Small Methods.
2022;6(6):e2200143.
38. Cakir B, Xiang Y, Tanaka Y, Kural MH, Parent M, Kang YJ, et al. Engineering of human
brain organoids with a functional vascular-like system. Nat Methods. 2019;16(11):1169-75.
39. Takebe T, Sekine K, Enomura M, Koike H, Kimura M, Ogaeri T, et al. Vascularized and
functional human liver from an iPSC-derived organ bud transplant. Nature. 2013;499(7459):481-
4.
40. Takahashi Y, Sekine K, Kin T, Takebe T, Taniguchi H. Self-Condensation Culture
Enables Vascularization of Tissue Fragments for Efficient Therapeutic Transplantation. Cell
Rep. 2018;23(6):1620-9.
41. Pham MT, Pollock KM, Rose MD, Cary WA, Stewart HR, Zhou P, et al. Generation of
human vascularized brain organoids. Neuroreport. 2018;29(7):588-93.
42. Lin Y, Gil CH, Yoder MC. Differentiation, Evaluation, and Application of Human
Induced Pluripotent Stem Cell-Derived Endothelial Cells. Arterioscler Thromb Vasc Biol.
2017;37(11):2014-25.
43. Ewald ML, Chen YH, Lee AP, Hughes CCW. The vascular niche in next generation
microphysiological systems. Lab Chip. 2021;21(17):3244-62.
44. Harding A, Cortez-Toledo E, Magner NL, Beegle JR, Coleal-Bergum DP, Hao D, et al.
Highly Efficient Differentiation of Endothelial Cells from Pluripotent Stem Cells Requires the
MAPK and the PI3K Pathways. Stem Cells. 2017;35(4):909-19.
45. Sahara M, Hansson EM, Wernet O, Lui KO, Spater D, Chien KR. Manipulation of a
VEGF-Notch signaling circuit drives formation of functional vascular endothelial progenitors
from human pluripotent stem cells. Cell Res. 2014;24(7):820-41.
46. Geudens I, Gerhardt H. Coordinating cell behaviour during blood vessel formation.
Development. 2011;138(21):4569-83.
47. Bergers G, Song S. The role of pericytes in blood-vessel formation and maintenance.
Neuro Oncol. 2005;7(4):452-64.
48. Semenza GL. Vasculogenesis, angiogenesis, and arteriogenesis: mechanisms of blood
vessel formation and remodeling. J Cell Biochem. 2007;102(4):840-7.
49. Bonanini F, Kurek D, Previdi S, Nicolas A, Hendriks D, de Ruiter S, et al. In vitro
grafting of hepatic spheroids and organoids on a microfluidic vascular bed. Angiogenesis.
2022;25(4):455-70.
50. Song L, Yuan X, Jones Z, Griffin K, Zhou Y, Ma T, et al. Assembly of Human Stem
Cell-Derived Cortical Spheroids and Vascular Spheroids to Model 3-D Brain-like Tissues. Sci
Rep. 2019;9(1):5977.
51. Wang L, Xu W, Zhang S, Gundberg GC, Zheng CR, Wan Z, et al. Sensing and guiding
cell-state transitions by using genetically encoded endoribonuclease-mediated microRNA
sensors. Nat Biomed Eng. 2024.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
52. Zhang S, Wan Z, Pavlou G, Zhong AX, Xu L, Kamm RD. Interstitial flow promotes the
formation of functional microvascular networks in vitro through upregulation of matrix
metalloproteinase-2. Adv Funct Mater. 2022;32(43).
53. Galie PA, Nguyen DH, Choi CK, Cohen DM, Janmey PA, Chen CS. Fluid shear stress
threshold regulates angiogenic sprouting. Proc Natl Acad Sci U S A. 2014;111(22):7968-73.
54. Kim S, Chung M, Ahn J, Lee S, Jeon NL. Interstitial flow regulates the angiogenic
response and phenotype of endothelial cells in a 3D culture model. Lab Chip. 2016;16(21):4189-
99.
55. Helm CL, Fleury ME, Zisch AH, Boschetti F, Swartz MA. Synergy between interstitial
flow and VEGF directs capillary morphogenesis in vitro through a gradient amplification
mechanism. Proc Natl Acad Sci U S A. 2005;102(44):15779-84.
56. Homan KA, Gupta N, Kroll KT, Kolesky DB, Skylar-Scott M, Miyoshi T, et al. Flow-
enhanced vascularization and maturation of kidney organoids in vitro. Nat Methods.
2019;16(3):255-62.
57. Elcheva I, Brok-Volchanskaya V, Kumar A, Liu P, Lee JH, Tong L, et al. Direct
induction of haematoendothelial programs in human pluripotent stem cells by transcriptional
regulators. Nat Commun. 2014;5:4372.
58. Barger CJ, Chee L, Albahrani M, Munoz-Trujillo C, Boghean L, Branick C, et al. Co-
regulation and function of FOXM1/RHNO1 bidirectional genes in cancer. Elife. 2021;10.
59. Guye P, Li Y, Wroblewska L, Duportet X, Weiss R. Rapid, modular and reliable
construction of complex mammalian gene circuits. Nucleic Acids Res. 2013;41(16):e156.
60. Duportet X, Wroblewska L, Guye P, Li Y, Eyquem J, Rieders J, et al. A platform for
rapid prototyping of synthetic gene networks in mammalian cells. Nucleic Acids Res.
2014;42(21):13440-51.
61. Chen F, LoTurco J. A method for stable transgenesis of radial glia lineage in rat
neocortex by piggyBac mediated transposition. J Neurosci Methods. 2012;207(2):172-80.
62. Yusa K, Zhou L, Li MA, Bradley A, Craig NL. A hyperactive piggyBac transposase for
mammalian applications. Proc Natl Acad Sci U S A. 2011;108(4):1531-6.
63. Wan Z, Zhang S, Zhong AX, Shelton SE, Campisi M, Sundararaman SK, et al. A robust
vasculogenic microfluidic model using human immortalized endothelial cells and Thy1 positive
fibroblasts. Biomaterials. 2021;276:121032.
64. Montoya-Zegarra JA, Russo E, Runge P, Jadhav M, Willrodt AH, Stoma S, et al.
AutoTube: a novel software for the automated morphometric analysis of vascular networks in
tissues. Angiogenesis. 2019;22(2):223-36.
65. Offeddu GS, Haase K, Gillrie MR, Li R, Morozova O, Hickman D, et al. An on-chip
model of protein paracellular and transcellular permeability in the microcirculation.
Biomaterials. 2019;212:115-25.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Figure Captions
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Figure 1. Efficient and robust differentiation of h-iECs through transient activation of ETV2.
(a) Schematic of two step h-iECs differentiation protocol with transient activation of ETV2.
Details can be found in methods section. (b) Differentiation efficiency of h-iPSCs into
CD31+/CD34+/VEGFR2+/ UEA-I + h-iECs with ETV2 transient activation by flow cytometry. (c)
Principal component analysis and (d) hierarchical clustering with pairwise correlation for bulk
RNA-seq analysis on various iECs, primary ECs and hiPSCs (n=2 for PGP1 and iPS01 iPSC
lines, n=3 for all other groups). (e) Expansion curve of h-iECs using two step method with or
without ETV2 activation, all started with 250k h-iPSCs. (f) Immunostaining of characteristic
markers during EC differentiation using two step method with ETV2 activation. Scale bar is 500
μm.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Figure 2. Formation of perfusable MVNs with h-iECs differentiated through transient activation
of ETV2. (a) Schematic diagram of the AIM Biotech chip used to generate MVNs with h-iECs
and HLFs mixtures encapsulated in fibrin gel. (b) Representative images of MVNs made of h-
iECs on day 7. h-iECs were differentiated from Alstem iPS01 h-iPSCs with conventional
methods. Perfusion test was performed with 40 kDa Texas Red dextran (red). (c) Representative
images of MVNs made of h-iECs on day 7, supplemented with 2% or 10% FBS. h-iECs were
differentiated from Alstem iPS01 h-iPSCs engineered with inducible ETV2 using our optimized
protocol. Perfusion test was performed with 40 kDa Texas Red dextran (red). (d)
Immunofluorescence staining for various proteins of interest in the perfusable MVNs with h-
iECs differentiated with our optimal protocol, including CD31, VE-cadherin, ZO-1 and Collagen
IV. (e) Perfusable vessel skeleton and junction points detected using fluorescent image acquired
for dextran. (f-h) Statistical analysis of morphological parameters of perfusable MVNs formed
with various EC sources. n = 8 devices for HUVEC, n = 6 devices for each h-iECs differentiated
with our optimal protocol. (i) Vascular permeability measurements for perfusable MVNs
engineered using HUVECs or h-iECs, with hLFs. Confocal z-stack images of perfusable MVNs
with dextran were acquired with 6 min time interval. Collapsed z-stack image are shown. (j)
Vascular permeability measurements of 40 kDa dextran for perfusable MVNs. n=2 devices for
each group, 3 measurements were performed in each device at different ROIs. All scale bars are
500 μm.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Figure 3. Formation of bulk MVNs with PBMCs perfusion. (a) Schematic diagram of the
microfluidic chip used to generate MVNs with HLFs and h-iECs differentiated from Alstem
iPS11 h-iPSCs engineered with inducible ETV2 using our optimized protocol. (b) Representative
images of MVNs formed in customized microfluidic chip at day 7 and the perfusion of PBMCs,
with zoomed in view. Red: UEA-I live staining of h-iECs, Green: PBMCs. Scale bar is 1 mm for
the left panel, and 150 µm for expanded view. (c) High magnification images (with 30x
objectives) of MVNs after perfusion of control PBMCs and PBMCs pretreated with PHA. Scale
bar is 50 µm. (d) Statistical analysis of extravasation events of control PBMCs and PBMCs
pretreated with PHA in MVNs. n = 4 devices for each case. Significance was calculated with t-
tests. ***P < 0.01.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Figure 4. CAR-T killing assay of vascularized tumor model. (a) Schematic illustration of CAR-T
cell killing assay in vascularized tumor spheroid model made with 2-step seeding strategy.
HUVECs were used as outer layer ECs to increase the chance of MVNs openings forming
between pillars. h-iECs, HLFs, and tumor spheroid were co-seeded to establish central
vascularized tumor spheroid structure. On day 7, after MVNs containing tumor spheroid were
stained with UEA-I and perfused with dextran to detect morphology and perfusability, control T
cells or CAR-T cells were perfused to MVNs to examine the T cell-tumor cell interaction and
killing. On day 11, conditioned media were collected for cytokine test (interferon gamma, IFNγ),
and then devices were stained with DAPI to visualize dead cells. (b) Representative confocal
images of vascularized Skov3 tumor spheroids treated with control T cells or mesothelin specific
CAR-T cells. Before perfusing T cells: cyan, HUVECs (outer layer); total ECs were stained with
UEA-I (green); magenta, dextran; red, Skov3 tumor spheroid. After perfusing T cells: white, T
cells; red, Skov3 tumor cells; green, DAPI staining in live sample to illustrate dead cells. Scale
bar is 200 µm for left panels and 50 µm for expanded view of tumor spheroids. (c) Histogram
showing expression of anti-mouse F(ab)2 to demonstrate percentage of anti-mesothelin specific
CAR-T cells. (d) Statistical analysis of dead cells in vascularized tumor spheroids treated with
control T cells or CAR-T cells. n = 7 devices for each case. Significance determined by t-tests.
***P < 0.01. (e) IFNγ concentrations of conditioned media from vascularized tumor spheroids
treated with control cells (n = 7 devices), CAR-T cells (n = 7 devices), or from MVNs alone
perfused with CAR-T cells (n = 3 devices). Significance determined by t-tests. ***P < 0.01.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Figure 5. Generation of liver organoid model with enhanced vascularization. (a) Schematic view
of the methods for generating liver organoids. (b) Embryoid body formation. 1 μg ml-1
doxycycline was added from day 0. Top: 80% PGP1-GATA6 and 20% GFP-HUVEC pooled
embryoid body. Green, GFP HUVECs. Bottom: 80% PGP1-GATA6 and 20% PGP1-ETV2
pooled embryoid body. Green, induced PGP1-ETV2-EYFP. Scale bar is 500 μm. (c) Fluorescent
immunostaining images of CEBPa (hepatocyte marker) and CD31 (endothelial cell marker) in
day 22 liver organoids generated by pooling varying ratios of PGP1-GATA6 and PGP1-ETV2
cells. The first three columns show confocal z-stack projections, followed by representative
single-slice images and corresponding zoom-in views. Cross-sectional views are displayed in the
rightmost column. Scale bars: 500 μm (z-stack projections and single slices), 100 μm (zoom-in
views), and 200 μm (cross-sectional views). (d) Schematic illustration of spatial arrangements of
ECs and hepatocytes within liver organoid by day 22. Organoids were formed by pooling
different ratio of PGP1-GATA6 and PGP1-ETV2 initially. (e,f) Statistical analysis of
morphological parameters of vascular network within day 22 liver organoids. n = 5 organoids for
each case. Significance was calculated with t-tests. ***P < 0.01. (g) Statistical analysis of urea
production from day 22 liver organoids. n = 6 organoids for each case. Significance was
calculated with t-tests. ***P < 0.01.
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted October 2, 2025. ; https://doi.org/10.1101/2025.10.01.679558doi: bioRxiv preprint
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.