Results
HO-1 deficiency expands a pool of quiescent and functionally exhausted HSCs
Global Hmox1 deficiency accelerates the functional decline of HSCs and promotes
premature hematopoietic aging [43]. Global HO -1 knockout (KO) mice already exhibit an
expanded HSC compartment with a higher proportion of cells in active phases of the cell
cycle. However, it remained unclear whether the entire expanded HSC pool actively
proliferates and sustains the accelerated hematopoiesis observed in HO-1 KO mice.
To assess the proliferative dynamics of the HSC pool over time, we performed an in vivo BrdU
incorporation assay, consisting of an initial intraperitoneal BrdU injection followed by
continuous BrdU administration in drinking water to HO -1 KO and wild-type (WT) mice (Fig.
1A). Long-term, continuous BrdU labeling revealed markedly lower overal l incorporation in
HO-1 KO HSCs compared with WT controls (Fig. 1B). In WT mice, the fraction of BrdU⁺ HSCs
progressively increased, reaching saturation at 60 –70%, indic ating that most HSCs
underwent at least one division during the labeling period and that there is a constant influx
of dividing cells into the pool. In contrast, in HO -1 KO mice, the proportion of BrdU ⁺ HSCs
plateaued at approximately 20%, indicating that only a small subset of HSCs actively
divides, while the majority remain dormant over extended periods. A similar pattern was
observed in the broader LKS (Lineage-c-Kit+Sca-1+) progenitor fraction (Fig. 1 C), suggesting
that a large portion of hematopoiesis in HO -1 KO mice is relatively inactive and rarely
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incorporates BrdU. These data imply that blood cells production in HO-1 KO mice relies on a
minor fraction of hematopoietic cells compared with WT mice.
Together, these results indicate that HO-1 deficiency leads to an expanded but functionally
heterogeneous HSC compartment, composed predominantly of long-term quiescent cells,
with only a small subset actively contributing to hematopoiesis. This functional
heterogeneity may underlie the premature exhaustion of the HSC pool in HO -1-deficient
mice.
HO-1–deficient HSCs accumulate DNA damage
Previously, we demonstrated that young HO-1-/- HSCs exhibited significantly elevated DNA
damage, as reflected by increased tail DNA content and olive tail moment compared with
age-matched WT controls in alkaline comet assay [43].
Given the heterogenous proliferative activity within the aged old HO -1-/- HSC pool , we
performed a similar analysis in old mice (Fig. 2A). Interestingly, aged HO-1-/- HSCs showed
lower levels of DNA breaks than age-matched WT controls (Fig. 2 A). This observation is
consistent with the predominance of long -term quiescent cells in the HO -1-/- HSC
compartment in aged mice, which may limit the accumulation of replication -associated
DNA damage.
To assess whether HO-1 deficiency alters the cellular response to genotoxic stress and the
long-term maintenance of genome integrity in hematopoietic cells, we exposed young 3 -
month-old WT and HO -1⁻/⁻ mice to low-dose irradiation (2 Gy). One month after irradiation,
we evaluated micronuclei in peripheral blood normochromatic erythrocytes (NCE),
providing an integrated readout of chromosomal damage accumulated during
erythropoiesis (Fig. 2B). Under control conditions, the fraction of cells harboring micronuclei
was low but detectable. In both genotypes, this fraction increased significantly following
irradiation. Notably, under control conditions, micronuclei were more frequently detected in
HO-1⁻/⁻ mice. This finding may indicate an increased susceptibility to chromosomal
instability, resulting from replication stress or segregation -associated defects in HO -1
deficient cells, which are commonly reflected by micronucleus formation. After irradiation,
micronucleus frequencies were comparable between genotypes, suggesting that under
conditions of acute genotoxic stress, HO-1 deficiency does not further exacerbate the extent
of chromosomal damage detectable by this assay.
To assess the long -term consequences of genotoxic stress across the hematopoietic
landscape, mice were allowed a 6 -month recovery period post -irradiation, after which we
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performed whole-bone marrow exome sequencing, using non -irradiated WT littermates as
a germline reference. This approach enabled the identification of persistent mutational
events, which were classified as low-, moderate-, or high-impact variants (Fig. 2C) [44].
Most detected variants in both genotypes were classified as low - or moderate -impact
mutations, such as missense substitutions (Supplementary Table 1). Importantly, the
distribution of mutation -impact categories di^ered significantly between WT and HO -1-/-
mice following irradiation (p = 2 × 10 ⁻⁶, chi-square test of independence, Fig. 2C). This shift
was driven primarily by an increase in low -impact mutations in HO -1-/- animals (p = 8.05 ×
10⁻⁷), whereas moderate - and high -impact variants were largely comparable between
genotypes (Fig. 2 C). This pattern aligns with the expectation that irradiation -induced
moderate or high -impact mutations often lead to cell elimination, leaving predominantly
low-impact mutations detectable in surviving long-lived cells [45,46].
Collectively, these findings demonstrate that HO -1 deficiency compromises genome
maintenance and increases susceptibility to mutagenic stress in young HSCs. However,
consistent with our BrdU-based proliferation analysis, the HSC compartment in aged HO-1-
/- mice is largely composed of non -cycling cells, which may paradoxically protect it from
proliferation-associated DNA damage despite an impaired repair environment.
HO-1 deficiency disrupts DNA damage checkpoint control
Given the elevated DNA damage already present in young HO-1 KO HSCs, we next examined
signaling pathways involved in the DNA damage response and cell cycle regulation.
Annexin V staining revealed that, despite their increased DNA damage, young HO-1 KO HSCs
did not show elevated apoptosis (Fig. 3A). In contrast, WT HSCs exhibited a higher proportion
of early apoptotic cells, suggesting that HO -1–deficient HSCs fail to properly activate
apoptosis in response to DNA damage (Fig. 3 A). The same was true for the broader KLS
fraction, with more viable cells and fewer early apoptotic cells in HO-1-/- animals (Fig. 3B).
Therefore, we next examined the status of checkpoint kinases Chk1 and Chk2, key mediators
of genome -integrity checkpoints [47]. Although total and phosphorylated Chk1 and Chk2
levels were broadly similar between groups (Fig. 3C, D), the ratio of phosphorylated to total
Chk2 was moderately but significantly increased in HO -1 KO HSCs (Fig. 3D) , indicating
impaired Chk2 activation and a potential failure to induce cell cycle arrest upon DNA
damage. Consistent with this, phosphorylation of the Chk2 target Cdc25A at Ser76 – a
modification promoting its degradation and enforcing the G1/S checkpoint [48] – was
reduced in HO-1 KO HSCs (Fig. 3E).
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Downstream of Cdc25A, we evaluated Cdk1, a cyclin -dependent kinase whose activity is
tightly controlled by Tyr15 phosphorylation [49,50]. HO -1 KO HSCs exhibited reduced
phosphorylation of Cdk1 at Tyr15 compared with WT cells, although total Cdk1 and
phosphorylated/total ratios did not reach statistical significance (Fig. 3F).
Next, we assessed Cdc45, a replication helicase activated by Cdk1 and Cdk2 and required
for origin firin g [51,52]. Although average Cdc45 levels per mouse did not di^er between
genotypes, flow cytometry analysis revealed a greater proportion of Cdc45-high HSCs in HO-
1 KO mice, suggesting aberrant activation of replication initiation in a subset of cells (Fig.
4A).
Altogether, these results indicate that HO-1 deficiency disrupts multiple components of the
G1/S checkpoint, including Chk2 activation, Cdc25A regulation, Cdk1 phosphorylation, and
replication origin licensing.
Finally, to explore a potential mechanistic link between increased DNA damage and
defective checkpoint activation in HO -1 KO HSCs, we examined the DNA damage-sensing
proteins Ku70 and 53BP1. These factors participate in early recognition of DNA breaks and
help recruit or activate downstream checkpoint components, including the Chk2/Cdc25A
axis [53,54]. Using confocal microscopy, we quantified both the number and fluorescence
intensity of Ku70 and 53BP1 nuclear foci in sorted HSCs, MPPs, and GMPs (Fig. 4B, C).
In HSCs from HO-1-deficient mice Ku70 signal intensity was significantly reduced, indicating
impaired recruitment or stabilization of Ku70 at DNA lesions (Fig. 4D). Strikingly, the opposite
trend was observed in more di^erentiated progenitors: Ku70 intensity was increased in MPPs
and GMPs from HO -1 KO mice (Fig. 4D) . For 53BP1, we detected no changes in HSCs or
MPPs; however, GMPs from HO-1 KO mice exhibited significantly higher 53BP1 intensity (Fig.
4E).
These findings point to an HSC-specific defect in early DNA-damage sensing in the absence
of HO -1. The reduced Ku70 signal in HO -1 KO HSCs, despite their elevated levels of DNA
damage, may contribute to the failure to enforce G1/S checkpoint arrest. In con trast, the
increased Ku70 and 53BP1 signals in progenitors suggest that HO -1 may regulate DNA -
damage responses di^erently across the hematopoietic hierarchy.
Altogether, these results support a model in which HO -1 deficiency disrupts DNA -damage
checkpoint control specifically in HSCs by weakening the earliest steps linked to double-
strand break detection.
HO-1 shows non-canonical nuclear localization in HSCs
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Our previous research found that while HO-1 expression in the bone marrow is the highest in
endothelial cells, mesenchymal cells, and macrophages, it is also detectable in
hematopoietic stem and progenitor cells [43]. Therefore, we analyzed the expression of HO-
1 in early stages of hematopoietic di^erentiation. HO -1 mRNA expression in stem cells and
multipotent progenitors in young (3-month-old) mice increases with di^erentiation from LT-
HSCs ( KLS Flt3-CD150+CD34-) to ST -HSCs ( KLS Flt3-CD34+) and multipotent progeni tors
(MPPs - KLS Flt3+CD34+). Interestingly, in LT-HSCs, HO-1 level is similar in young and old mice
(18-month-old), but in ST -HSCs and MPPs, its expression decreases with age and is
significantly lower in aged animals (Fig. 5A).
We next sought to determine the intracellular localization of HO-1 protein in hematopoietic
cells. Within the Lin ⁻CD45⁺ bone marrow compartment, we identified cells with
conventional cytoplasmic HO -1 expression, as well as cells in which HO -1 was strictly
nuclear (Fig. 5B). Strikingly, LT-HSCs (LKS CD34-CD150+) displayed predominantly nuclear
HO-1 localization, often forming discrete foci -like structures, suggesting a non -canonical
function of HO-1 in the nuclear compartment of these cells (Fig. 5B).
We checked whether such non -classical nuclear localization is limited to hematopoietic
stem cells or if it can also be observed in hematopoietic progenitors. Therefore, we analyzed
the localization of HO-1 protein in LT-HSCs and MPPs in young and aged mice. We found that
the nuclear localization of HO -1 is indeed characteristic of both young and old LT -HSCs,
whereas in MPPs, HO-1 had more cytoplasmic localization, especially in aged cell donors
(Fig. 5C).
HSC-intrinsic deletion of HO -1 rewires transcriptional programs governing activation
and lineage priming
Expression of HO -1 within the hematopoietic niche is essential for maintaining full HSC
functionality. Our data demonstrated that global HO -1 deficiency leads to increased DNA
damage and impaired cell cycle checkpoint activation. To determine whether HO -1 also
plays a cell -intrinsic regulatory role within HSCs, we generated Hoxb5-CreERT2;Hmox1fl/fl
mice, enabling inducible and LT-HSC–specific deletion of Hmox1. Young mice were treated
with tamoxifen to activate Cre recombinase and subsequently aged for one year under
physiological, unperturbed conditions. LT -HSCs were then sorted from Hoxb5-
CreERT2;Hmox1fl/fl mice (HO-1ΔHSC) and control Hoxb5-CreERT2;Hmox1WT littermates (WT),
and their transcriptomes were analyzed by RNA sequencing.
Di^erential expression analysis identified 492 genes significantly upregulated and 219 genes
downregulated in HO-1ΔHSC LT-HSCs compared with WT controls (FDR < 0.1, n = 3–5 samples
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per group, each sample pooled from two mice). These findings demonstrate that loss of HO-
1 within HSCs, despite their residence in an otherwise HO-1–competent niche, substantially
alters their transcriptional landscape (Fig. 6A, B).
Principal component analysis (PCA) based on di^erentially expressed genes revealed clear
segregation between WT and HO -1ΔHSC samples, with PC1 accounting for 66.7% of the
variance and e^ectively separating genotypes. PC2 explained 17.2% of the variance and
primarily reflected heterogeneity within the HO-1ΔHSC group (Fig. 6C).
To identify biological processes associated with these transcriptional changes, we
performed gene set enrichment analysis (GSEA). Among significantly enriched Gene
Ontology (GO) biological processes (Supplementary Fig. 1), we observed prominent
signatures related to cytoplasmic translation, mitochondrial respiration, and leukocyte
biology, including di^erentiation, migration, and adhesion (Fig. 6D). Notably, cytoplasmic
translation pathways were strongly and positively enriched in HO -1ΔHSC LT-HSCs (Fig. 6E ;
Supplementary Fig. 2), consistent with increased cellular activation. In parallel, gene sets
associated with myeloid di^erentiation were also positively enriched, suggesting a potential
myeloid bias in HO -1–deficient LT -HSCs (Fig. 6E). In contrast, pathways related to
mitochondrial respiration showed significant negative enrichment (Fig. 6E; Supplementary
Fig. 2).
Inspection of individual genes contributing to the myeloid di^erentiation signature revealed
aberrant expression of key transcription factors governing hematopoietic fate decisions. The
myeloid regulators Gfi1 and Cebpa were largely absent in WT LT -HSCs b ut consistently
expressed in HO-1ΔHSC cells (Fig. 6F). Interestingly, we also observed elevated expression of
Klf2 specifically in HO -1ΔHSC LT-HSCs, a transcription factor previously shown to restrain
monocyte di^erentiation and myeloid cell activity (Fig. 6F). Together, these findings suggest
that aged HO-1ΔHSC LT-HSCs exhibit features of mixed or aberrant lineage priming rather than
a unidirectional di^erentiation program.
Finally, we assessed whether genes involved in cell cycle regulation and DNA damage
responses, previously altered in HSCs from global HO -1–deficient mice (Fig. 3 and Fig. 4) ,
were also a^ected in HO-1ΔHSC LT-HSCs. While we did not detect changes in the expression
of cyclin-dependent kinases, whose activity is largely regulated post-translationally [55], we
observed reduced expression of Xrcc6 (encoding Ku70) in HO -1ΔHSC LT-HSCs (Fig. 6G). This
reduction mirrors findings in global HO -1–deficient HSCs (Fig. 4D) , suggesting that
diminished Ku70 expression may represent a direct, cell-intrinsic consequence of HO-1 loss.
However, consistent with our GSEA results, we did not observe significant enrichment of
broader DNA damage response pathways.
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Intrinsic HO-1 deficiency promotes early LT-HSC commitment without altering lineage
output
We next examined how HO -1 deletion within HSCs a^ects their functional behavior. Flow
cytometric analysis revealed that conditional deletion of Hmox1 in LT -HSCs did not
significantly alter the overall frequencies of LT-HSCs or short-term HSCs (ST-HSCs) (Fig. 7A).
However, the LT -HSC/ST-HSC ratio was significantly reduced (Fig. 7C) , indicating a shift
toward early di^erentiation and commitment of LT -HSCs. Consistently, we observed an
increased frequency of ST -HSCs within the LSK progenitor fraction (Fig. 7 B), further
supporting enhanced early activation and di^erentiation upon intrinsic HO-1 loss.
To functionally validate the activation, priming, and di^erentiation signatures observed at
the transcriptomic and phenotypic levels, we performed a single -cell in vitro di^erentiation
assay. Individual LT-HSCs were sorted into di^erentiation-permissive conditions, and clonal
growth was monitored over three weeks. At the end of the assay, the cellular composition of
individual colonies was analyzed by flow cytometry. This approach enabled high-throughput
functional assessment at the clonal level, which i s particularly important given that bulk
RNA-sequencing signatures may reflect heterogeneous lineage priming across distinct HSC
clones.
Consistent with enhanced activation, LT -HSCs from HO -1ΔHSC mice formed colonies more
rapidly during the first and second week of culture (Fig. 7D) , indicating an accelerated
transition from a quiescent stem cell state toward proliferating progenitors. By the end of the
assay, HO-1ΔHSC LT-HSCs also exhibited increased colony-forming e^iciency compared with
WT controls (Fig. 7E).
Despite these di^erences in activation kinetics and clonogenic output, the lineage
composition of colonies was not altered (Fig. 7F). Myelopoiesis remained the predominant
di^erentiation outcome in both genotypes (Fig. 7F) , indicating that intrinsic HO -1 loss
enhances early di^erentiation potential without overtly skewing lineage fate decisions under
these conditions.
Together, these data demonstrate that HO-1 acts intrinsically within HSCs to restrain early
activation and di^erentiation, thereby contributing to the maintenance of the LT-HSC state.
Materials and methods
Mice
All animal procedures were performed following national and European legislation and
approved by the Second Local Ethics Committee on Animal Testing in Kraków (approvals
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number 113/2014, 47/2019, 120/2019, 121/2019, 342/2020 , 83/2021 ). Experiments were
performed on 3-4-month-old mice from the in-house colony of strain C57Bl/6×FVB Hmox-1
WT and KO (HO-1-/- and HO-1+/+). The old group of mice used in some of the experiments were
at least 1 year old. The Hmox -1flox/flox mice were maintained on C57BL/6 background. The
C57BL/6xFVB H O-1-/+ and Hmox-1fl/fl mice were kindly provided by Dr. Anupam Agarwal,
University of Alabama, Birmingham, USA. The Hoxb5-CreERT2 mice were kindly provided by
Dr Irving Weissman, Stanford University, USA. The CreERT2 construct were introduced in the
same loci as in the Hobx5 -mCherry mice, as described previously [61], by Transgenic,
Knockout, and Tumor Model Center at Stanford University.
To induce Cre recombinase in Hmox-1flox/flox;Hoxb5-CreERT2 mice were administered with
tamoxifen (Sigma -Aldrich, dissolved in corn oil at concentration of 20 mg/ml) by
intraperitoneal injections at 75 mg/kg body weight for 5 consecutive days.
Flow cytometry analysis and cell sorting
Flow cytometry analysis was done on LSR Fortessa cytometer (BD Sciences). Cell sorting
was done on a MoFlo XDP cell sorter (Beckman Coulter). Unless otherwise indicated, t he
populations used in studies were defined as follows: LT-HSCs – LSK CD150+CD48-CD34-, ST-
HSCs – LSK CD150+CD48-CD34+, MPP – LSK CD150-CD48+. Following antibody clones were
used in the study: Lin cocktail (clone 17A2/RB6-8C5/RA3-6B2/Ter-119/M1/70, BioLegend),
Sca-1 (clone D7, ThermoFisher Scientific), c-Kit (clone 2B8, ThermoFisher Scientific), CD150
(clone TC15-12F12.2, BioLegend), CD48 (clone HM-48-1, BioLegend), CD34 (clone RAM34,
BD Biosciences).
For intracellular staining, no more than 10 million cells were taken per sample, with an even
cell count between samples, including controls. After counting, cells were stained with
surface antibodies as usual and then, without a washing step, subjected to the IntraSure kit
(BD Biosciences) procedure. In short, 200 µl of reagent A were added to each sample right
after the staining, samples were vortexed and incubated for 5 min in darkness, RT. Next, 2.5
ml of BD FACS Lysing Solution diluted in sterile water was added to each sample. Samples
were once again vortexed and incubated for another 10 min, RT, in darkness. After incubation
time, samples were centrifuged (800 x g, 5 min) and the supernatant was discarded. Cells
were resuspended in 100 µl of an antibo dy of interest against an intracellular target diluted
in reagent B. Samples were incubated for 45 min, RT, in darkness. If the staining required a
secondary antibody after washing cells with PBS w/o, the step with reagent B was repeated.
Samples were wash ed in PBS w/o and resuspended in PBS w/o with DAPI (to distinguish
nucleated cells from debris) for collection on the flow cytometer. Following antibody clones
were used for the intracellular staining: Cdc25A (clone F -6, Santa Cruz Biotechnology),
Cdc25A Ser124 (Bioss Antibodies), Cdc25A Ser76 (Biorbyt), Cdc45L (clone JJo91 -04,
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ThermoFisher Scientific). Cdk1 (clone 17, Santa Cruz Biotechnology), Cdk1 Tyr15 (clone
E.658.6, ThermoFisher Scientific), Cdk2 (clone D -12, Santa Cruz Biotechnology), Cdk2
Thr160 (Cell Signaling), Chk1 (clone G -4, Santa Cruz Biotechnology), Chk1 Ser345 (cl one
R3F9, Abnova), Chk2 (clone A -12, Santa Cruz Biotechnology), Chk2 Thr68 (clone ebchk2,
eBioscience), Mdm2 (clone D-7, Santa Cruz Biotechnology), Mdm2 Ser166 (Biorbyt).
Annexin V assay
Annexin V assay was performed using a TACS Annexin V kit from Trevigen. In short, cells were
counted on Muse Cell Analyzer after isolation and lysis of red blood cells . Five million cells
were taken for each sample, stained with surface markers, and washed. Pelleted cells were
resuspended in 100 µl of Annexin V Incubation Reagent, which constituted of 10 µl 10X
Binding Bu^er, 1 µl Annexin V-FITC, and 89 µl dH2O per sample. One mix was prepared for
all the samples. Samples were incubated in the dark for 15 min, RT, and then 400 µl of 1X
Binding Bu^er was added. Samples were processed on a flow cytometer within 1 hour of
staining.
BrdU assay
HO-1+/+ and HO-1-/- adult mice (3-month-old) were injected peritoneally with 100 mg BrdU
(Sigma Aldrich) per kg body weight in PBS w/o as a starting time-point. Animals were
maintained on 1 mg/ml BrdU in the drinking water with free access throughout the study.
Water bottles were protected from light and changed every 7 days. Mice were sacrificed at
di^erent time points for subsequent flow cytometry analysis.
Alkaline Comet Assay
Alkaline comet assay was performed with the Trevigen CometAssay kit according to the
manufacturer’s protocol. In brief, LT-HSCs from either young (10–12-week-old) or aged (>18-
month-old) HO-1-/- and HO-1+/+ mice were sorted into a small volume of PBS w/o, embedded
in Comet LMAgarose, and transferred onto a single CometAssay HT Slide. The slide was then
incubated at 4°C for 30 min to enhance the gelling process and placed in Lysis Solution for
overnight incubation at 4°C. Next, cells were treated with a freshly made alkaline unwinding
solution for 20 min, RT, and subjected to electrophoresis in alkaline conditions with an
adjustment for electrophoresis units other than supplied by Trevigen (4°C, 1 Volt/cm, 300
mA, 30 min). After electrophoresis, the slide was washed twice in dH2O followed by a single
70% ethanol wash , and dried at 37°C. Samples were stained with SYBR Gold and imaged.
Analysis was performed on blinded files with either CometScore (TriTek) or CaspLab
software, which calculated values for the percent of Tail DNA and Olive Tail Moment.
Analysis of the HO-1 localization on sorted cells
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The a nalysis of HO -1 protein localization was done by sorting the cells on poly -L-lysine
coated microscopic slides in custom-defined areas. Next, cells were let to settle down and
fixed with 2% PFA, and stained according to immunocytochemistry protocol with SPA -896
antibody (ENZO, diluted 1:200) and Alexa488 goat anti -rabbit (Invitrogen, diluted 1:400).
Cells were image with LSM710 confocal microscope with 63x immersion objective (Carl
Zeiss). The nuclear and cytoplasmic signal was analyzed by Image J, by h and-made masks
for the whole cell area based on brightfield image and nucleus based on DAPI signal. The
masks were then used to analyze the HO-1 signal intensity.
RNA-seq analysis
Each sample represents HSCs sorted and pooled from two mice. 1000 -3000 cells per
sample were sorted directly into lysing bu^er from Single Cell RNA Purification Kit (Norgen,
Biotek), and RNA isolation was performed according to the manufacturer’s protocol. The
isolation of the required RNA amount and quality was confirmed by Bioanalyzer PicoRNA Kit
(Agilent).
The library was performed according to the SmartSeq2 protocol described by Picelli et al.
[62,63]. In short, the strategy relies on template switching based on LNA primers that bind to
the end of the 3’ cDNA transcript. cDNA is amplified by PCR (12 -14 cycles were required
depending on the amount of the RNA) and purified by Ampure XP beads (Beckman Cou lter)
with a 1:0.6 (DNA/beads) ratio. The amount of obtained amplified transcriptome was
quantified using Bioanalyzer with High Sensitivity DNA Chip (Agilent) and 200 pg of input
Results
were analyzed for the normal distribution with D’Agostino-Pearson omnibus and
Shapiro-Wilk normality tests. Statistical significance between 2 groups was determined
using a paired or unpaired Student’s t-test, as appropriate. Mann-Whitney test was used for
the data with non-normal distribution. When the experimental scheme included two
variables e.g. time and genotype, a two-way ANOVA test was performed. In this case, the
statistical significance of a given variable was shown only when no significant interaction
between variables was detected. Results with p < 0.05 were considered significant. * p =
0.01 to 0.05, ** p = 0.001 to 0.01, *** p = 0.0001 to 0.001, **** p < 0.0001.
Acknowledgments:
We would like to acknowledge Agnieszka Andrychowicz-Rog and Joanna Uchto for technical
support. The study was supported by the National Sciene Center (grant Harmonia no
NCN2015/18/M/NZ3/00387 awarded to A.J., grant Preludium no NCN
2017/25/N/NZ1/02156 and ETIUDA 2019/32/T/NZ3/00624 awarded to M.Z.), Foundation for
Polish Science ( Fellowship START 100.202 0 awarded to M.Z ) and European Research
Council (Starting Grant “StemMemo” nr 101041737 awarded to KS).
The research has been supported by grants from the Priority Research Area BioS and the
Faculty of Biochemistry, Biophysics and Biotechnology (FBBB) under the Strategic
Programme Excellence Initiative at Jagiellonian University (JU).
Presented results were a part of M.Z. ’s PhD thesis.
During the preparation of this work, the authors used ChatGPT in order to check and correct
language and readability. The authors reviewed and edited the content as needed and take
full responsibility for the content of the publication.
Figure 1. HO -1 deficiency expands a pool of quiescent HSCs with limited proliferative
activity
(A) Experimental scheme of long-term in vivo BrdU incorporation assay. Wild-type (WT) and
HO-1 knockout (HO-1 KO) mice received an initial intraperitoneal BrdU injection followed by
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continuous BrdU administration in drinking water. The percentage of BrdU ⁺ HSCs was
quantified over time by flow cytometry.
(B) Percentage of BrdU⁺ cells within the LT-HSC pool during long-term labeling in WT and HO-
1 KO mice.
(C) Percentage of BrdU ⁺ cells within the KLS (Lin ⁻Sca-1⁺c-Kit⁺) progenitor fraction during
long-term labeling in WT and HO-1 KO mice.
Data show mean ± SEM , n = 5-6 mice/group. Statistical significance was assessed using 2-
way ANOVA.
Figure 2. HO-1–deficient HSCs accumulate DNA damage and show altered mutational
outcomes after genotoxic stress
(A) Quantification of DNA damage in aged WT and HO-1 KO HSCs. Data are shown as mean
± SD. n = 334-368 cells from pooled 3-4/mice per group.
(B) Quantification of micronuclei in peripheral blood normochromatic erythrocytes (NCE )
indicates increased chromosomal damage in HO-1 KO HSCs in steady state conditions and
after irradiation during erythropoiesis. Points represent individual mice.
(C) Distribution of mutation -impact categories (low, moderate, high impact) identified by
whole-bone-marrow exome sequencing six months after 2 Gy irradiation in WT and HO-1 KO
mice. Statistical significance assessed by chi-square test of independence.
Figure 3. HO -1 deficiency impairs DNA damage -induced checkpoint activation and
apoptosis in HSCs
(A) Annexin V assay results comparing the percentage of viable and apoptotic cells between
HO-1 WT and HO-1 KO HSCs, and (B) HO-1 WT and HO-1 KO KLS cells.
(C) Flow cytometry analysis of Chk1 expression and its phosphorylated form in HSCs ,
together with their ratio in both genotypes.
(D) Flow cytometry analysis of Chk2 expression and its phosphorylated form in HSCs ,
together with their ratio in both genotypes.
(E) Flow cytometry analysis of Cdc25a expression and its phosphorylated form in HSCs ,
together with their ratio in both genotypes.
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(F) Flow cytometry analysis of Cdk1 expression and its phosphorylated form in HSCs ,
together with their ratio in both genotypes.
Points represent individual mice. Data are shown as mean ± SD.
Figure 4. HO-1 deficiency disrupts early DNA damage sensing selectively in HSCs
(A) Flow cytometr y analysis of Cdc45 expression in WT and HO -1 KO HSCs, showing the
proportion of Cdc45-high cells. n = 5-6 mice/group. For statistical significance calculations
in signals obtained from individual n = 755 -1157 cells from pooled m ice were taken into
account.
(B, C) Representative confocal images of Ku70 and 53BP1 nuclear foci in sorted HSCs.
(D) Quantification of Ku70 nuclear signal intensity in HSCs, MPPs, and GMPs from WT and
HO-1 KO mice. n = 25-50 cells/group from pooled 3 mice per genotype.
(E) Quantification of 53BP1 nuclear signal intensity in HSCs, MPPs, and GMPs.
Each dot represents an individual cell , cells were pooled from multiple mice. Bars indicate
mean ± SEM.
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Figure 5. HO-1 exhibits non-canonical nuclear localization in LT-HSCs
(A) HO-1 mRNA expression levels in LT -HSCs, ST-HSCs, and MPPs isolated from young (3 -
month-old) and aged (18-month-old) mice.
(B) Representative confocal images showing cytoplasmic versus nuclear localization of HO-
1 protein in Lin⁻CD45⁺ bone marrow cells and LT-HSCs.
(C) Quantification of HO -1 subcellular localization in LT -HSCs and MPPs from young and
aged mice.
Data are shown as mean ± SD. n = 33-45 cells/group
Figure 6. HSC -intrinsic deletion of HO -1 rewires transcriptional programs linked to
activation and lineage priming
(A) MA plot showing the number of di^erentially expressed genes in LT-HSCs isolated from
HO-1ΔHSC and control mice.
(B) Volcano plot showing di^erentially expressed genes in LT -HSCs isolated from HO -1ΔHSC
and control mice.
(C) Principal component analysis (PCA) of WT and HO-1ΔHSC LT-HSC transcriptomes.
(D) Overview of significantly enriched Gene Ontology (GO) biological processes identified by
gene set enrichment analysis (GSEA).
(E) Representative GSEA enrichment plots for cytoplasmic translation, myeloid
di^erentiation, and mitochondrial respiration pathways.
(F) Expression levels of selected transcription factors regulating hematopoietic fate
decisions (Gfi1, Cebpa, Klf2).
(G) Expression of Xrcc6 (Ku70) in WT and HO-1ΔHSC LT-HSCs.
Figure 7. Intrinsic HO-1 deficiency promotes early LT-HSC commitment without altering
lineage output
(A) Flow cytometric quantification of LT -HSC and ST -HSC frequencies in WT and HO -1ΔHSC
mice.
(B) LT-HSC/ST-HSC ratio in WT and HO-1ΔHSC mice.
(C) Frequency of ST-HSCs within the LSK progenitor fraction. Data are shown as mean ± SD.
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(D) Colony growth kinetics from single LT-HSCs isolated from WT and HO-1ΔHSC mice.
(E) Frequency of formed colonies from single LT-HSCs. Data are shown as mean ± SEM.
(F) Flow cytometric analysis of lineage composition of colonies derived from WT and HO-
1ΔHSC LT-HSCs. Data are shown as mean ± S D. Each dot represents an individual clone or
mouse, as indicated.
Supplementary Figures 1-3
Representations of significantly enriched Gene Ontology (GO) biological processes in gene
set enrichment analysis (GSEA) in LT-HSCs isolated from HO-1ΔHSC
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Figure 1.
A
B
C
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The copyright holder for this preprintthis version posted January 28, 2026. ; https://doi.org/10.64898/2026.01.26.701757doi: bioRxiv preprint
Figure 2.
A B
C
χ²,
p = 8 × 10⁻7
.CC-BY-NC 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 January 28, 2026. ; https://doi.org/10.64898/2026.01.26.701757doi: bioRxiv preprint
Figure 3.
A B
C.
D
E F
.CC-BY-NC 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 January 28, 2026. ; https://doi.org/10.64898/2026.01.26.701757doi: bioRxiv preprint
Figure 4.
B C
D
A
E
Ku70
DAPI
53BP1
DAPI
.CC-BY-NC 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
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Figure 5.
A B
C
.CC-BY-NC 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 January 28, 2026. ; https://doi.org/10.64898/2026.01.26.701757doi: bioRxiv preprint
Figure 6.
Log2 Fold C hange
PC2
17,2% Variance
myeloid cell differentiation GO:0030099
mi tochondria lrespiratory chain complex assembly
GO:0033108
cytoplasmic translation GO:0033108
Xrcc6 (Ku70)
492
219
A B
D
C
PC1
66.7% Variance
-Log10 Adj. p-value
Log2 Fold C hange
me an nor mali zed counts
E
WT HO-1HSC
Klf2CebpaGfi1
F G
Normalized counts (Log10)
Normalized counts (Log10)
WT HO-1HSC WT HO-1HSC WT HO-1HSC WT HO-1HSC
padj
= 1.44-08
padj
= 4.51-12
padj
= 1.39-08
padj
= 0.09
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Figure 7.
A
B C
D E
F
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Supplementary Figure 1.
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Supplementary Figure 2.
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Supplementary Figure 3.
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Supplementary Table 1.
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