Abstract
The bone marrow microenvironment forms a highly specialized niche that houses hematopoietic
stem and progenitor cells (HSPCs). Within bone, two anatomically distinct regions, the 30
medullary cavity and the trabecular compartment, differ in their cellular and physical
composition, with the potential to differentially regulate influence on resident HSPCs. We
hypothesized that HSPCs enriched from the medullary cavity (BM) and trabeculae (TB)
represent functionally distinct populations. Contrary to this, functional assessment of HSPCs
revealed comparable cellular outputs between BM- and TB-derived HSPCs. To investigate 35
whether microenvironmental signaling contributes to functional regulation, we examined the
effects of extracellular vesicles (EVs) isolated from medullary BM and TB. Notably, TB-derived
EVs inhibited cell cycle progression, directing HSPCs toward a quiescent state. Together, these
findings demonstrate that while isolated BM- and TB-derived HSPCs exhibit similar cell-
intrinsic properties, EVs enriched from the TB specifically promote HSPC quiescence, 40
supporting a protective regulatory role for the trabecular microenvironment.
Introduction
The hematopoietic system consists of various cell types and lineages that are governed by
the regulation of hematopoietic stem cells (HSCs), that in turn, require lifelong maintenance. 45
These unique cells give rise to differentiated hematopoietic cell populations responsible for
immune response, antibody production, oxygen transfer, and blood clotting
1-3. Because of HSCs
innate ability to differentiate, self-renew, migrate, and enter quiescence4, this allows the
maintenance of clonal populations throughout an individual’s lifetime. It is generally believed
that a pool of HSCs are retained over time and remain quiescent, only activated in response to 50
stress and replenishment5-9. Despite this, HSPCs are still susceptible to age-related alterations,
leading to DNA damage10, epigenetic changes11, altered colony output, and decreased overall
function12-14. Therefore, maintaining beneficial signaling and regulation may oppose age-related
decline in hematopoietic stem cells and their downstream progenitors.
Stem cell function is intricately linked to their distinct environmental niche. Adult human 55
HSCs reside predominantly within the bone, activating and/or extravasating to the circulation
only in response to environmental stressors15-17. The bone microenvironment provides a
specialized setting, providing key factors conducive to HSC niche formation and overall HSC
homeostasis18,19. The HSC niche is vital in regulating HSC and HSPC fate by regulating stem
cell characteristics through direct cell-cell contact, secreted factors, extracellular matrix, and 60
nutrient access20,21. The niche establishes conditions that instruct stem cell behaviour. It is
located in proximity to sinusoids with local endothelial cells, perivascular stromal cells, and
mesenchymal stromal cells (MSCs)18,22,23. The transfer of key factors between these resident
niche cells and HSCs is imperative to the controlled regulation of HSCs.
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Bone exist as two distinct types based on their corresponding structural and cellular 65
composition, namely compact (cortical) bone and cancellous (spongy) bone. Cortical bone is the
dense hard outer layer comprising 80% of total bone mass. The medullary cavity, that houses
bone marrow, occupies the space within the diaphysis of long bones and is a hollow chamber
surrounded by compact bone, containing vessels and a variety of cell types including MSCs,
hematopoietic cells, vascular cells, and adipocytes24,25. Within the epiphyses of the long bones 70
sits the trabeculae, a spongy lattice-like structure of bone that comprises bone forming
osteoclasts and osteoblasts, HSPCs, lineage-committed precursors, MSCs, and endothelial
cells26,27. Both the medullary cavity and trabeculae contain hematopoietic bone marrow. Early in
development, hematopoietically active red bone marrow dominates the extracellular spaces of
the long bones, providing the niche for active and functional HSCs. Aging disrupts the 75
equilibrium, allowing the build-up of fatty deposits in the medullary cavity engendering the
formation of yellow bone marrow28. As adulthood continues, the quantity of functional red bone
marrow decreases, replaced by yellow marrow, pushing the HSPC pool further into specialized
microenvironments within the trabeculae
29,30.
Our group and others have both identified the existence and documented the high 80
concentration of extracellular vesicles (EVs) in human bone. EVs are phospholipid-enclosed
nanoparticles (30nm-10microns) containing cell-derived bioactive cargo such as proteins, nucleic
acids, lipids, carbohydrates and metabolites
31. All cells are believed to release EVs, which may
facilitate intercellular communication by transferring regulatory factors from donor to recipient
cells. Therefore, EVs contribute to the establishment of specific environments by mediating cell 85
to cell interactions and communication32. In fact, various cell types harness the mobility of EVs
to create favourable local and distant environments that support cellular function33,34.
The transfer of multiple factors between resident niche cells and HSCs is well
documented18,35,36. Extracellular vesicles are established mediators of cellular communication
both locally and distantly but remains under researched in the context of human bone. Our group 90
has previously documented the unique role of EVs to define distinct niches between
hematopoietic environments, highlighting the potential for EVs to mediate intercellular
communication in the bone niche37. In addition, our previous work highlighted the specialized
role of trabecular EVs to influence HSC function by downregulating cell cycle progression in
umbilical cord blood (UCB) HSPCs
37. From our previous study we began to wonder if HSCs 95
isolated from the distinct bone locations represented unique HSC types or were predominately
influenced by niche factors within a specific microenvironment. Results presented here reveal
that EVs may play an important role, contributing to maintaining a quiescent population within
the trabecular region of the bone.
100
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Methodology:
Ethics:
Human sample collection followed the Declaration of Helsinki and was approved by the Queen's 105
University Health Sciences and Affiliated Teaching Hospitals Research Ethics Board (HSREB).
Approval for the collection of human umbilical cord blood was obtained prior to commencement
of the study (Department Code: DBMS-093-18, TRAQ# 6024642). Approval for collection of
human blood, bone marrow, and trabeculae was obtained prior to commencement of the study
(Department Code: DBMS-093-18, TRAQ# 6036291). Blood donors provided informed verbal 110
consent prior to total hip arthroplasty surgery according to HSREB regulations.
Human Samples:
Human blood, bone marrow, and trabeculae samples were collected from consenting patients
undergoing total hip arthroplasty surgery at Hotel Dieu Hospital and Kingston General Hospital
in Kingston, ON, Canada. Exclusion criteria included inflammatory arthropathies, cancer, 115
rheumatoid arthritis, any blood disorders, and severe systemic cardiovascular or respiratory
disease. Accepted patients were undergoing elective hip replacement and typically diagnosed
with osteoarthritis. Samples were transported immediately upon collection in surgery and
underwent HSPC and EV enrichment using described protocols.
38 All samples were processed as
outlined in the previously published work.37,38 120
Enrichment of HSPCs:
HSPCs were obtained from umbilical cord blood (UCB) collected in collaboration with Kingston
General Hospital, Canada during full-term planned caesarean section surgeries. Immediately
upon extraction UCB samples were diluted in citrate dextrose anticoagulant to a final
concentration of 25% before transport to the lab. Samples were further diluted 1:1 in PBS and 125
layered onto 20mL of Ficoll-Paque Premium (Sigma-Aldrich). Samples underwent a
centrifugation at 300xg (deceleration 0) for 30mins at 21°C and the mononuclear cell (MNC)
layer was collected. The MNCs were further purified by positive selection of CD34 expressing
HSPCs using the EasySep Human Cord Blood CD34
+ Selection Kit II (StemCell Technologies).
Bone marrow samples were transported upon collection and diluted in PBS. Samples were 130
centrifuged at 300xg for 10mins at 21C and the cell pellet was separated from the EV-containing
biological fluid. They were further washed in PBS supplemented with 2% foetal bovine serum
(FBS) and EDTA at a concentration of 1mM (2% FBS/PBS, 1mM EDTA) and centrifuged at
300xg for 7mins at 21°C before layering onto 6mL of Ficoll-Paque Premium (Sigma-Aldrich).
Samples underwent a centrifugation at 300xg (deceleration 0) for 30mins at 21°C and the 135
mononuclear cell (MNC) layer was collected before proceeding with EasySep Human Bone
Marrow CD34
+ Selection Kit II (StemCell Technologies) HSPC enrichment.
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Trabecular bone samples collected and transported from hospital. Bone was probed and flushed
with PBS before rocking 10mins at 4°C. The sample was poured through a 40μm cell strainer
and centrifuged at 200xg for 10mins at 21°C. Trabecular cells were separated from EV-140
containing biological fluid, washed in 2% FBS/PBS 1mM EDTA, and centrifuged at 300xg for
10mins at 21°C before layering on 15mL of Ficoll-Paque Premium (Sigma Aldrich). Samples
underwent a centrifugation at 300xg (deceleration 0) for 30mins at 21°C. The MNC layer was
collected and underwent positive selection using the EasySep Human Bone Marrow CD34
+
Selection Kit II (StemCell Technologies). Bone marrow and trabecular HSPCs were either used 145
fresh the same day or frozen in liquid nitrogen (-196°C).
Enrichment of EVs:
Extracellular vesicle-rich supernatant was isolated from the three different hematopoietic
environments followed by a 2-step enrichment protocol incorporating iodixanol density cushion
(IDC) ultracentrifugation followed by size exclusion chromatography outlined in our paper38. 150
Whole blood was collected in EDTA K2 tubes and centrifuged at 1900xg (deceleration 0) for
10mins at 21°C, followed by a second centrifugation at 2500xg for 10mins at 21°C. Bone
marrow samples were transferred from the hospital in EDTA K2 tubes and washed with PBS.
Bone marrow samples were centrifuged at 300g for 10mins at 21°C to collect cell-free biological
fluid. Bone marrow biological fluid was washed once more before being concentrated using an 155
Amicon Ultra-15 centrifuge filter (10kDa) (Miltenyi Biotech) to a final concentration of 6mL.
Trabecular bone samples were probed and flushed with PBS before rocking 10mins at 4°C. The
sample was poured through a 40μm cell strainer and centrifuged at 200xg for 10mins at 21°C.
After removal of the fat layer, trabecular cell-free biological fluid was collected and concentrated
using an Amicon Ultra-15 centrifuge filters (10kDa) (Miltenyi Bitotech) to a final volume of 160
6mL.
Samples were centrifuged at 2500xg for 10mins at 21°C and strained through a 40μm cell
strainer to remove any remaining fat and cell debris. Plasma, bone marrow, and trabeculae
samples were layered onto an iodixanol density cushion of Optiprep (Cedarlane) with layers at
50%, 30%, and 10% and placed in an SW41Ti ultracentrifuge rotor. Samples were centrifuged at 165
178,000xg for 2hrs at 4°C using an LS-60M Ultracentrifuge (Beckman Coulter, USA, cat no.
347240). The high-density layers (interface between 30% and 10% layers) were collected and
placed onto SEC columns. Twenty fractions of 0.5mL were collected and EV-containing
fractions (F7-12) were pooled and aliquoted. Samples were stored at -80°C. EV sample
preparation and enrichment followed the protocols outlined
38. An aliquot of each EV sample was 170
thawed on ice and characterized using nanoparticle tracking analysis (NTA) and Qubit Protein
Assay Kit (ThermoFisher Scientific) to determine particle concentration, size, and protein
concentration.
175
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Estimated Trabeculae V olume Calculation:
Trabecular bone weight was determined by weighing the bone on the day of the surgery as well
as weighing after 7-10 days of drying. After drying, bone was rehydrated in ddH20 for 24 hours
before weighing. Available space is then calculated to provide trabeculae sample volumes. All
trabecular bone calculations were conducted as outlined in the paper explaining trabeculae 180
extracellular vesicle enrichment and bone available space calculations.38 Bone calculation has
been verified and is consistent across individuals37. Samples used sex-specific fractions of
available trabecular bone space; females = 0.258 and males = 0.203.
Super Resolution Microscopy of EVs:
EVs were captured using the ONi human EV profiler kit v2.0 and processed using stochastic 185
optical reconstruction microscopy (STORM) on the ONi super-resolution nanoimager. Samples
were immobilized by phosphatidyl serine (PS) capture on microfluidic glass slides before
washing of free capture antibodies. EVs were fixed and stained with a 3-colour tetraspanin
antibody panel (CD9-488nm, CD63-561nm, CD81-647nm) using 50%, 40%, and 30% power on
488, 561, and 640 nm lasers, respectively. EVs were quantified based on positive expression of 190
tetraspanin markers and labeled as single, double, or triple positive. EVs were classified as
positive for a marker when 10 or more individual localizations were detected in the same channel
at a radius of 100nm around the centre of a cluster.
HSPC Incubation of EVs:
CD34+ HSPCs were incubated in serum-free media (SFM), prepared using Iscove’s Modified 195
Dulbecco’s Medium (Sigma-Aldrich), bovine serum albumin, insulin, transferrin (B.I.T.) serum
substitute, β-mercaptoethanol (ThermoFisher Scientific), low-density lipoprotein (Sigma-
Aldrich), L-Glutamine (ThermoFisher Scientific), and penicillin/streptomycin (ThermoFisher
Scientific). Media was further supplemented with cytokines and growth factors IL-3 (20ng/mL),
IL-6 (20ng/mL), G-CSF (20ng/mL), Flt3 (100ng/mL), and SCF (100ng/mL). HSPCs were plated 200
at 200,000 cells/mL and incubated for 48hrs in SFM containing EVs at 10μg/mL of EV protein
or PBS control. To validate functionality within and between individuals, HSPC and EV
incubation experiments included both HSPCs that received EVs from paired source and HSPCs
that received EVs from different individuals. HSPC source (BM and TB) and EV source (BM
and TB) were always kept consistent throughout comparisons. For all incubations, cells were 205
incubated at 37°C with 5% CO
2.
Flow Cytometric Analyses:
Multiparameter flow cytometry was used for immunophenotyping39-41 and functional analyses.
HSPC cell populations and lineages were identified by immunophenotyping using monoclonal
antibodies to human CD34 (581), CD38 (HIT2), CD90 (5E10), CD45RA (HI100), CD123 210
(6H6), CD10 (HI10a), and CD49f (G0H3) from BD Biosciences. Cells were stained in 2%
FBS/PBS, 1mM EDTA solution for 45mins at 4°C and were washed twice prior to analysis. Cell
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cycle status was assessed by Ki67 and DAPI staining. Cells were first fixed with 1.5% PFA for
30mins at 4°C and then permeabilized with ice-cold 100% acetone for 10mins at 4°C. Cells were
stained with Ki-67 for 30mins at 21°C prior to staining with CD34 for 45mins at 4°C. Cells were 215
washed once and then incubated with DAPI on ice for 7mins before a second wash. Proliferation
kinetics of HSPCs was performed by staining with carboxyfluorescein succinimidyl ester
(CFSE) fluorescent dye. CD34
+ HSPCs were stained with CFSE for 10mins at 37°C before a 5-
day incubation in SFM supplemented with cytokines and growth factors. On Day 5, cells were
stained with CD34 for 45mins at 4°C and then assessed for cellular divisions across the 5-day 220
incubation. For experiments assessing HSPCs only, cells were used fresh after isolation or were
thawed and allowed to rest overnight before analyses. Experiments assessing HSPCs incubated
with EVs, HSPCs were thawed and allowed to rest overnight before undergoing a 48hr
incubation with 10μg/mL of EV protein as outlined above. All experiments included isotype
controls or Fluorescent-Minus-One (FMO) controls using primary cells. Flow cytometric 225
experiments were performed on FACSAria III (BD Biosciences), FACSymphony A3 (BD
Biosciences, or a CytoFLEX S (Beckman Coulter) and analyzed using FlowJo v10.10.0
software.
Colony-Forming Cell (CFC) Assay:
Colony formation capacity of HSPCs alone was evaluated using freshly isolated CD34+ cells. 230
1000 HSPCs were plated into 1.2mL of H4435-enriched Methocult Medium (StemCell
Technologies) for each condition. Conditions were plated in triplicate into 35mm dishes and
incubated for 10-12 days at 37°C with 5% CO
2.
Bone EV assessment incubated HSPCs with 10ug/mL of EV protein for 48hr as outlined above.
Conditions were counted and 1000 cells were plated in triplicate into 1.2mL of H4435-enriched 235
Methocult Medium (StemCell Technologies). Conditions were plated into 35mm dishes and
incubated for 10-12 days at 37°C with 5% CO
2. For both experiments, colonies were quantified
and qualified based on morphology using a light microscope. Colony types include colony-
forming unit granulocyte/erythrocyte/macrophage/megakaryocyte (CFU-GEMM), colony-
forming unit-granulocyte/macrophage (CFU-GM), colony-forming unit-granulocyte (CFU-G), 240
colony-forming unit-macrophage (CFU-M), colony-forming unit-erythroid (CFU-E), and burst-
forming unit-erythroid (BFU-E).
Western Blot Analysis:
EV samples were diluted 1:10 with 10X RIPA and incubated for 30 mins at 4°C. Due to increased
surface area for lysis, tubes were agitated every 5mins throughout the 30mins incubation. Protein 245
lysates were centrifuged at 13,000 rpm for 5 mins. Samples were diluted 1:4 in 4X sample buffer
(ddH2O included if further dilution required) and heated at 95°C for 5 mins before proceeding to
Western blot analysis. Western blot gels were created using 1.5 M Tris-Cl (pH=8.8) base resolving
gel and 0.5 M Tris-Cl (pH=6.8) base stacking gel. Each channel was loaded with 20 ug of EV
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protein lysates and run alongside 8-260 kDa protein ladder . Gels were transferred onto PVDF 250
membranes and blocked for 1 hr. Sample membranes were incubated 1:500 or 1:1000 with primary
antibodies (CD63, CD9, SDCBP) at 4°C overnight. Membranes are washed of primary antibodies
using TBS-T. Secondary antibodies are then incubated 1:5000 using Dylight 680 or Dylight 800
(Invitrogen, USA) at room temperature for 1 hr. Membranes were washed and then imaged on
Odyssey CLx infrared imaging system. 255
Results
Bone marrow and trabeculae HSPCs exhibit similar function, and both contribute to the HSPC
pool within the bone
The rarity and difficulty of obtaining human hematopoietic stem and progenitor cell 260
populations limits fine analyses of the distinct pools within the hematopoietic system. Current
experiments rely overwhelmingly on human HSPCs derived from either bone marrow aspirates
(BM). As a first assessment, HSPC concentration was calculated between the BM and TB (Fig.
1B). The percentage of HSPCs, determined by positive expression of the surface marker CD34,
remained consistent between both environments (Fig. 1B). HSPCs from the 2 different sources 265
were then further characterized using flow cytometric immunophenotyping to identify specific
cell populations within the hematopoietic hierarchy (Fig. 1C). CD34 and CD38 expression
allows identification of the broad populations of HSPCs. HSPCs from BM and TB showed no
differences in the specific primitive populations, the long-term HSCs (LT-HSCs; CD34+,CD38-
,CD90+,CD45RA-,CD49f+), short-term HSCs (ST-HSCs; CD34+,CD38-,CD90-,CD45RA-270
,CD49f+), 90+ HSCs (CD34+,CD38-,CD90+,CD45RA-,CD49f-), and 90- HSCs (CD34+,CD38-
,CD90-,CD45RA-,CD49f-) (Fig. 1D). Similarly, the progenitor populations show no differences
between HSPCs of the BM and TB pools; megakaryocyte-erythroid progenitor (MEP;
CD34+,CD38+,CD10-,CD45RA-,CD123-), common myeloid progenitor (CMP;
CD34+,CD38+,CD10-, CD45RA-,CD123+), granulocyte-macrophage progenitor (GMP; 275
CD34+,38+,CD10-, CD45RA+,CD123+), lymphoid-primed multipotent progenitor (LMPP;
CD34+,CD38-, CD45RA+,CD90-,CD10-), and NK-B cell progenitor (NK/B Prog; CD34+,CD38-,
CD45RA-,CD90-,CD10+) (Fig. 1E-F). The differences seen in the CD34+38- populations is
driven by the decrease in the lymphoid lineage (multiple lymphoid progenitors (MLPs;
CD34+,CD38+,CD45RA+,CD10+)) within TB HSPCs. These findings suggest slight variations in 280
the BM- and TB-derived HSPCs pools driven by shifts in subpopulations of the hematopoietic
hierarchy.
Despite potential differences in the HSPC pool between the two bone environments, cells
must also be assessed for key stem cell characteristics to validate HSPC functionality. First,
HSPCs were assessed on their ability to form myeloid colonies via a colony cell forming (CFC) 285
assay. A traditional assay used to assess the potential for multipotency of HSPCs, this experiment
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evaluates the production of myeloid and erythroid colonies across 10-day incubations. Literature
identifies, BM HSPCs demonstrate significant reductions in total colon formation compared to
UCB HSPCs after 10 days42,43. This observation appears to be consistent across all bone derived
HSPCs, with TB HSPCs also producing similar total colonies to BM HPSCs (Fig. 2A). 290
Although, TB HSPCs do produce more total colonies than BM HSPCs isolated from the same
individual, suggesting a potential difference in colony formation ability between HSPCs of
different environments (Fig. 2A). When partitioning total colonies into specific colony
lineages/types by proportion, both bone-derived HSPCs exhibit similar production of all colony
lineages, implying the total colony count differences are regardless of lineage. However, there is 295
a shift in TB HSPCs away from macrophage colonies (CFU-M) towards granulocyte colonies
(CFU-G) compared to BM HSPCs (Fig. 2B). Population differences are further highlighted upon
visualization by pie chart, demonstrating comparable averaged proportions of colony types
across individuals (Fig. 2C-D). These findings demonstrate that BM- and TB-derived HSPCs
express similar colony formation. Further evaluation of multipotent potential is required to 300
confirm the basis for differences in total colony production between BM- and TB-derived
HSPCs.
Colony formation by the HSPC pool could be a result of either increased proliferative
potential leading to higher total colony units or higher multipotency activated by exiting from
quiescence. To determine whether the differences in colony formation are due to proliferation or 305
quiescent capabilities; BM- and TB-derived HSPCs underwent flow cytometric analysis. Shifts
in cell cycle transitions between HSPCs sourced from BM vs TB were ascertained by staining
with Ki-67 and DAPI then analyzed by flow cytometry (Fig. 3A). State specific data suggests
that bone HSPCs demonstrate similar cell cycle dynamics regardless of environment between
G0, G1, S, and G2/M phases (Fig. 3B-E). Identification of the cell cycle status confirms that 310
colony formation was not due to differences in the quiescent populations (G0) after analyzing
cell cycle downstream of cell isolation (Fig. 3B). Proliferation potential was also monitored over
5 days and quantified by carboxyfluorescein succinimidyl ester (CFSE) fluorescence. CD34
+
HSPCs were stained with CFSE and incubated at 37°C and 5% CO2 for 5 days (Fig. 3F). On day
5, cellular divisions were quantified across the entire cell population (Fig. 3G), as well as the 315
cells that retained CD34 expression (Fig. 3H). BM and TB HSPCs demonstrate similar
proliferation potential across the entire cell population, both by location and within individuals
(Fig. 3G). In the cell population that retained CD34 expression, BM HSPCs contained a greater
percentage of undivided cells (D0). However, the two HSPC populations showed similar
proportions of cells in all consecutive divisions, indicating comparable proliferation dynamics 320
(Fig. 3H). The combined findings suggest there are no differences between BM- and TB-sourced
HSPC function.
Extracellular vesicles from different bone locations exert differential effects on HSPCs
In our previously published work, TB EVs were able to promote quiescence through
downregulation of cell cycle progression in umbilical cord sourced HSCs.37 In this study, EV 325
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enrichment was conducted across all individuals therefor directly comparing BM and TB HSPC
from the same individual (Fig. 4A). Samples underwent Western blot validation of common EV
markers (CD63, CD81, SDCBP (Syntenin)) expressed on EVs (Fig. 4B). EVs were then
characterized based on size and concentration, remaining consistent with previous publications
observing significantly greater concentrations of particles in the BM than in the TB (Fig. 4C). As 330
well, TB EVs were significantly larger than EVs isolated from the bone marrow of the same
individual but similar average protein concentration (Fig. 4D-E). Super resolution microscopy
was then conducted to visualize individual particles. Bone derived EV samples were assessed for
tetraspanin expression of CD63 (yellow), CD81 (pink), and CD9 (blue) (Fig. 4F). Individual
particles were classified as single, double, or triple positive based on localizations of 335
fluorescence and quantified as percentage of total population (Fig. 4G).
To validate if EVs impart consistent functional effects to BM- and TB- derived HSPCs as
to UCB HSPCs, in vitro assays were conducted incubating HSPCs with EVs over 48hrs (Fig.
5A). Colony-forming cell assays were conducted to compare the colony formation of BM- or
TB-derived HSPCs treated either with BM EVs, TB EVs, or PBS controls. Cells were incubated 340
with 10μg/mL of EV protein for 48 hrs, followed by plating into methylcellulose media
supplemented with HSPC specific growth factors. Corresponding colony counts validate
previous findings that TB EVs cause decreased total colony accounts in HSPCs regardless of
environmental origin (Fig. 5B). To account for biological variability between individuals, colony
totals were standardized to the PBS control of the same cell source, further highlighting the 345
significant reductive effect of TB EV-treatment on HSPCs (Fig. 5B). Colony lineage formation
exhibits similar profiles between for both HSPC populations across EV treatments, in all except
the most differentiated CFU-E colonies decreasing in the TB treated with TB EVs (Fig. 5B-C).
The findings confirm TB EVs reduce total colony count in all HSPCs and necessitates the
question of whether TB EVs also alter cell cycle transitions in bone HSPCs despite age-350
associated differences to UCB HSPCs. Therefore, interrogation of cell cycle transitions was
conducted to observe potential differences in quiescent (G0) populations in response to BM and
TB EV stimulation in both BM- and TB-derived HSPCs. In BM-derived HSPCs, TB EV
incubation significantly promoted cellular quiescence compared to BM EV treatment (Fig. 5D).
When evaluating TB EV treatment in BM HSPCs, only G0 was significantly altered, whereas 355
there were slight changes to populations in G1, S, and G2/M phases (Fig. 5E). This trend
continued when observing EV treatment in TB-derived HSPCs, highlighting a significant
increase in the quiescent HSPC population with treatment of TB EVs (Fig. 5 F). As well, no
shifts were seen in the other cell cycle phases for treated TB HSPCs (Fig. 5G). Overall, this data
further validates that TB EVs target HSPCs, regardless of origin, to downregulate colony 360
formation and promote entry into quiescence. Therefore, the microenvironment within the
trabeculae may provide a protective environment for HSPCs and specifically foster HSC
regulation via a nano-based niche controlled by EVs.
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Discussion
365
These findings outlined above represent the first study directly comparing HSPCs within
differing human bone locations, highlighting the importance of EV based mechanisms that
contribute retaining HSPCs in quiescence. The majority of adult HSPC research has centered on
cells isolated and impacted by the bone marrow microenvironment
44,45, despite the trabeculae
housing the more haematopoietically productive red marrow46-48. Therefore, the trabeculae 370
represent an understudied environment impacting HSPC functionality. This research has sourced
two hematological environments from patients undergoing total hip arthroplasty, to determine
differences in the resident HSPC population and the impact of its surrounding environment. We
have shown that the HSPC pool in the bone marrow and trabecular are similar in functionality
and instead impacted by their extracellular vesicle environment. This builds on previously 375
published research by this lab, that identified a new function of trabecular EVs, that provide a
protective environment for primitive hematopoietic stem cells
37.
Hematopoietic stem cell processes have been investigated over the many decades of
groundwork49-54. Over the years, this has expanded from understanding the function of these rare
cells, to the difference in specific populations located within the human anatomy. The data 380
presented here, validates the trabeculae as an attainable source of HSPCs that demonstrate
analogous hematopoietic ability to HSPCs from the bone marrow55. HSPCs derived from the
bone marrow and trabeculae of a single individual represent functionally comparable cell
populations, that that can be separated into specific cell types and demonstrate consistent colony
formation lineages. It is important to highlight that this data applies to samples within the same 385
individual as well as similarities between environments of different individuals. The findings
shown here provide broad characterization of the differences in the HSPCs of the bone marrow
and trabeculae, and with more intricate studies, could look at disparities in the most subtle HSPC
populations within these environments.
With regards to the environmental regulation of HSPCs, EVs represent another factor 390
contributing to the maintenance of HSPCs and remain source-specific across individuals.
The importance of HSPCs maintaining stem cell functionality to safeguard against aging-
associated pathologies
13,56-58, requires understanding the biology contributing protective
environments for HSPCs59,60. Our results identify trabecular EVs as an important modulator of
stem cell characteristics, driven by their environmental origin. Trabecular EVs provide another 395
avenue into understanding the microenvironment optimal for HSPC maintenance highlighted by
their ability to drive change regardless of HSPC origin.
This research demonstrates functional analysis of hematopoietic stem and progenitor cells
isolated from a previously under researched hematopoietic environment. We demonstrate that
HSPCs isolated from trabecular bone contribute to the HSPC pool and functionally represent an 400
extension of the cell population found within the bone marrow
61. However, we propose that
HSPCs are differentially regulated by the environment in which they reside, partitioning the bone
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(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
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marrow and trabeculae into two unique HSPC pools based on stimulation from their
microenvironment that include extracellular vesicles, as well as other external cellular factors.
The role of EVs in cellular communication, and the debate whether EVs are a directed or 405
random mechanism of cellular signalling continues to be debated. However, the role of EVs
described in this text, suggests that certain EV populations are released to govern cellular
environments. In the context of hematopoietic stem and progenitor cells, EVs act as a key
transport mechanism utilized by HSC niche resident cells to instruct HSC functionality.
410
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BM TB
0
1
2
3
4
5CD34+ Percentage
ns
LMPP MLP NK/B Prog
0
20
40
60
80
100
Lymphoid
Percentage of Parent Gate
✱
MEP CMP GMP
0
20
40
60
80
100
Myeloid
Percentage of Parent GateLT-HSC ST-HSC 90+ HSC 90- HSC
0
20
40
60
80
100
Primitive
Percentage of Parent Gate
Figure 1. HSPC characterization of CD34+ cells isolated from paired bone marrow (BM) and trabeculae
(TB). Characterization of paired HSPCs isolated from the bone marrow (BM) and trabeculae (TB) of
individuals undergoing total hip arthroplasty surgery. (a) Graphic highlighting different origins of bone marrow
(BM) and trabeculae (TB) derived HSPCs. (b) Percentage of CD34+ cells within the mononuclear (MNC) cell
population of isolated samples (n = 38) assessed by paired t-test. (c) Flow cytometric gating strategy to identify
HSPC subpopulations after singlet gating. (d-f) Flow cytometry HSPC panel of paired HSPC samples indicated
connected points (n = 8). Comparison of HSPC subpopulations ( d) stem cell populations ( e) myeloid
progenitors (f) lymphoid progenitors. A two-way repeated measures ANOV Awith Šidák’smultiple comparisons
test was computed for each comparison * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001, **** P ≤ 0.0001
A B
C
D
F
E
Figure 1
LT-HSC
90+ HSC
90- HSC
ST-HSC
NK/B Prog.
LMPP
GMPCMP
MEP
MLP
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BM TB
0
50
100
150
200
250Total Colony Count
✱✱
CFU-GEMM
CFU-GM CFU-G CFU-M BFU-E CFU-E
0
20
40
60Percentage of Total Colonies
Bone Marrow
Trabeculae
✱✱ ✱✱
TB
0.30% CFU-GEMM
4.20% CFU-GM
18.65% CFU-G
33.79% CFU-M
32.38% BFU-E
10.67% CFU-E
BM
0.39% CFU-GEMM
3.42% CFU-GM
15.94% CFU-G
36.69% CFU-M
32.00% BFU-E
11.56% CFU-E
Figure 2. Functional Analysis of bone marrow and trabeculae CD34+ HSPCs colony forming capacity.
Functional comparisons of HSPCs isolated from paired BM and TB samples (n = 11). (a) Total colony counts
after 10-day incubation in methylcellulose analyzed by Paired t-test. (b) Colony breakdown as percentage of
total colonies with paired samples connected; colony- forming unit-
granulocyte/erythroid/macrophage/megakaryocyte (CFU-GEMM), colony- forming unit-
granulocyte/macrophage (CFU-GM), colony- forming unit-granulocyte (CFU-G), colony- forming unit-
macrophage (CFU-M), burst-forming unit- erythroid (BFU-E), and colony- forming unit-erythroid (CFU-E). A
Two-way repeated measures ANOV A with Šidák’s multiple comparisons test was computed for each
comparison. Pie chart comparison of colony types averaged across individuals between ( c) BM, and ( d) TB
HSPCs. * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001, **** P ≤ 0.0001
A B
Figure 2
C D
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BM TB
0
5
10
15
G2/M Phase
Percentage of Cells
✱✱
BM TB
0
5
10
15
S Phase
Percentage of Cells
✱✱
BM TB
0
20
40
60
80
G1 Phase
Percentage of Cells
BM TB
0
20
40
60
80
Quiescent (G0)
Percentage of Cells
F G H
Figure 3. Cell cycle dynamics and proliferative comparison of BM and TB derived HSPCs. (a)
Representative flow cytometry gating of cell cycle populations. Breakdown of BM (n=10), and TB (n=10)
HSPCs indicating paired samples separated into cell cycle phases (b) quiescent (G0) populations (c) G1 phase,
(d) S phase, and ( e) G2 /M phases. A paired t- test was computed for each cell cycle phase comparison. ( f)
Representative flow cytometry gating of CFSE labeled cellular divisions. ( g) Cellular divisions of paired BM
and TB HSPCs (n=8) over 5- day incubation. ( h) Percentage of cells undergoing cellular divisions while
maintaining CD34 surface marker after 5- day incubation. CFSE comparisons computed by mixed-effects
analysis with Šidák’s multiple comparisons tests. * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001, **** P ≤ 0.0001
A B
Figure 3
C
Ki67
DAPI
D E
D0 D1 D2 D3 D4 D5
0
10
20
30
40
50Percentage of Cells
CFSE
CFSE
Count CD34
D0 D1 D2 D3 D4 D5
0
10
20
30
40
50Percentage of CD34+ Cells
✱
.CC-BY-NC-ND 4.0 International licenseavailable under a
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BM TB
1.2×102
1.4×102
1.6×102
1.8×102
Particle Size (nm)
✱✱
BM TB
0
2×1010
4×1010
6×1010
8×1010
Particle Concentration
✱
BM TB
0
2×10-9
4×10-9
6×10-9
Protein per Particle (ug)
BM HSPC BM EV TB HSPC TB EV
Figure 4
C D
A
F
200nm200nm G
Figure 4. Bone marrow (BM) and trabeculae (TB) derived extracellular vesicle characterization. (a).
Graphic depicting bone marrow and trabeculae derived HSPCs and EVs. (b) Western blot confirmation of EV
markers CD63, CD9, and SDCBP (Syntenin) expression in BM and TB EVs. Extracellular vesicles enriched
rom bone marrow (TB), and trabeculae (TB) characterized by ( c) size, ( d) particle concentration, and ( e)
average protein per particle (n=12). (f) Super resolution microscopy images of EVs isolated from TB, and BM
labeled with CD63 (yellow), CD81 (pink), and CD9 (blue). (g) Individual particle identification of tetraspanin
(CD63, CD81, CD9) expression characterized as single, double, or tripled positive (n=1). * P ≤ 0.05, ** P ≤
0.01, *** P ≤ 0.001, **** P ≤ 0.0001
BM TB
E
70kDa
50kDa
38kDa
25kDa
15kDa
90kDa
70kDa CD63
B
CD9SDCBP
BM TB
Single Pos Double Pos Triple Pos
0
20
40
60
80Percentage of EVs
✱✱ ✱✱
.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 February 25, 2026. ; https://doi.org/10.64898/2026.02.25.707977doi: bioRxiv preprint
CFU-GEMM
CFU-GMCFU-GCFU-M BFU-E CFU-E
0
20
40
60
80Colony Percentage
CTRL
BM EV
TB EV
✱
CFU-GEMM
CFU-GMCFU-GCFU-M BFU-E CFU-E
0
20
40
60
80Colony Percentage
CTRL
BM EV
TB EV
✱
BM EV TB EV
0.0
0.5
1.0
1.5
2.0Standardized to Control
✱
BM EV TB EV
0.0
0.5
1.0
1.5
2.0Standardized to Control
✱✱
Figure 5. Comparison of bone EV-treatment on bone marrow and trabeculae HSPCs. (a) Incubation
outline for BM and TB HSPCs treated with PBS control, BM EVs, or TB EVs. (b) Total colonies standardized
to PBS control of paired BM and TB HSPCs samples treated with BM EVs (red) or TB EVs (blue). Colony type
breakdown of (c) BM treated and (d) TB treated HSPCs. Cell cycle analysis by Ki67 and DAPI staining of BM
HSPCs (e-f) and TB HSPCs (g-h) standardized to PBS control. ( e) Quiescent population comparison. ( f)
Sample separated into cell cycle transition states. ( g) Quiescent population of TB HSPCs. ( h) TB samples
separated into cell cycle transition states. * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001, **** P ≤ 0.0001
Figure 5
D
E
F
B C
G
A
Quiescent Population Quiescent Population
Trabecular HSPCsBone Marrow HSPCs
G0 G1 S G2/M
0.0
0.5
1.0
1.5
2.0Standardized to Control
BM EV
TB EV
G0 G1 S G2/M
0.0
0.5
1.0
1.5
2.0Standardized to Control
BM EV
TB EV
B
0.0
0.5
1.0
1.5
2.0
Total Colonies
Standardized to Control
MROW EV
TRAB EV
0.0543 0.0970
BM HSPCS TB HSPCSBM HSPCs
TB HSPCs
BM EVs
TB EVs
+ + - -
- - + +
+ - + -
- + - +
.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 February 25, 2026. ; https://doi.org/10.64898/2026.02.25.707977doi: bioRxiv preprint
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