Biology subjects

Uzun, Y.

Publications and source records attributed to Uzun, Y..

18 recordsLinked to original sources

bioRxiv2026

Oncofetal RNA-binding proteins of IGF2BP family suppress IRF-3 and NF-kB dependent transcription downstream of cytosolic RNA sensors

Activation of innate inflammatory signaling and tumor-specific antigen presentation in cancer cells provides a foundation for anti-cancer immunotherapies. Here, we show that the insulin-like growth factor 2 mRNA-binding proteins (IGF2BP1, IGF2BP2, and IGF2BP3), which are upregulated across diverse human malignancies, including acute myeloid leukemia (AML), suppress RNA-sensing pattern recognition receptor signaling and downstream ISRE-and NF-{kappa}B-dependent transcription. Among these pathways, RIG-I signaling is particularly sensitive to IGF2BP-mediated inhibition. This suppressive effect is strongest when all three IGF2BP paralogs are co-expressed, especially in embryonic-like hematoendothelial cells and leukemia stem cells. Mechanistically, IGF2BPs suppress innate immune signaling by directly binding to TNFAIP3 mRNA and promoting its expression. Consequently, inhibition of IGF2BPs activates innate immune signaling and induces MHC class I gene expression in AML cells, highlighting IGF2BPs as promising therapeutic targets to enhance RIG-I- and TLR-based cancer immunotherapies. HighlightsO_LIIGF2BP family of proteins regulate PRR responses C_LIO_LIIGF2BP levels affect chromatin accessibility and pan-transcriptome C_LIO_LISV40 large T antigen induces de novo expression of IGF2BPs C_LIO_LITNFAIP3 mRNA levels and stability are regulated by IGF2BPs C_LI

cancer biology↗

bioRxiv2026

Estrogen Deprivation and Periodontitis Interact Across Multiple Tissues

The study investigated the interaction between estrogen deprivation and periodontitis, systemically, in the bone marrow, and locally in periodontal tissues using a mouse model. MethodsWe used the ligature-induced periodontitis (LIP) model concurrently with ovariectomy-induced estrogen deprivation. Bone marrow was assessed for myeloid cell proportion by flow cytometry. The femur metaphysis was examined histologically and by micro-CT. Cytokine responses of CD11b+ myeloid cells to lipopolysaccharide stimulation were investigated ex vivo across ovary-intact (Sham), ovariectomized (OVX), and estrogen-replaced (OVX+E2) mice with or without periodontitis. Estrogen-related alterations in periodontitis, including microbiome composition and transcriptomic changes in the gingiva and dentoalveolar complex, were investigated by 16S rRNA sequencing and bulk RNA sequencing, respectively. ResultsOvariectomy increased osteoblast-like and adipocyte-like cell numbers in femoral marrow, whereas LIP reduced both populations (p = 0.020 and p = 0.029, respectively). LIP increased the bone marrow CD45+ hematopoietic fraction in Sham mice. LPS-stimulated bone marrow CD11b+ cells from OVX mice showed lower Tnf, Ccl2, and Il10 expression than Sham mice (p = 0.003, p = 0.005, and p = 0.001, respectively). OVX exacerbated LIP-associated alveolar bone loss, reducing BV/TV (p = 0.003) and increasing osteoclast numbers (p = 0.012). Neither OVX nor E2 replacement significantly altered ligature-associated microbial composition in 16S rRNA sequencing. Bulk RNA sequencing demonstrated estrogen-responsive transcriptomic changes in both the gingiva and dentoalveolar complex, including OVX-associated gene-expression changes that returned toward Sham levels in OVX+E2 mice. These included genes related to stromal regulation (Acan, Igfbp3, Erbb3) and immunity (Gp2, Spib, B2m). ConclusionPeriodontitis and estrogen deprivation exert combined effects on the bone marrow niche. Estrogen deprivation modulates immune- and healing-related gene expression in the gingiva and remaining dentoalveolar tissues during periodontitis.

immunology↗

bioRxiv2026

Lineage-specific CK2α deletion reshapes the transcriptome of hematopoietic stem cells toward an immune-primed state

Casein Kinase 2 (CK2) is a constitutively active kinase regulating proliferation and immune signaling and is frequently dysregulated in cancer, including acute myeloid leukemia (AML), making it a therapeutic target. CK2 comprises two catalytic subunits, CK2 or CK2, with two regulatory {beta} subunits. The role of CK2, the predominant catalytic subunit and principal mediator of CK2 kinase activity in hematopoietic cells, in steady-state hematopoiesis remains undefined. To define how CK2 shapes hematopoietic cells, we used bone marrow and spleen tissue samples of wild type control and conditional knock out (KO) of CK2 (Csnk2a1) in the hematopoietic compartment of transgenic mice. Using single-cell RNA sequencing, we profiled the transcriptomic changes associated with CK2 loss. Although HSC abundance was comparable between the control and CK2-deficient samples, HSCs experienced the largest transcriptional response to CK2 loss among all cell types. CK2-deficient HSCs displayed transcriptional remodeling for inflammatory and immune-associated programs, interferon signaling, and antigen presentation. Expression of inflammatory genes such as S100a8 and S100a9, changed in opposite directions in bone marrow and spleen HSCs, demonstrating the transcriptional consequences of CK2 loss shaped by tissue context. Using a network-based approach, we identified immune-associated transcription factors Nfkb1, Rfx5, Hes1, and AP-1 family members as regulatory hubs driving these inflammatory transcriptional states in CK2-deficient HSCs. Cell-cell communication profiling revealed multiple gains and losses in ligand-receptor communication between the HSCs and their immune microenvironment in KO. Our findings identify CK2 as a regulator of immune transcriptional programs in HSCs and suggest that disruption of CK2 signaling influences stem cell behavior and immune activation in contexts relevant to hematologic malignancies and CK2-targeted cancer therapies. Statement of significanceThis study reveals that inhibiting the protein CK2 forces blood stem cells into a stressed, immune-primed state. These tissue-specific findings highlight potential side effects for cancer therapies targeting this essential regulatory kinase.

genomics↗

bioRxiv2026

SPEAR: Predicting Gene Expression from Single-Cell Chromatin Accessibility

Single-cell multiome assays enable direct measurement of chromatin accessibility and gene expression within the same cell. Still, most experimental designs remain constrained to two (and, less commonly, three) modalities per cell. This limitation motivates computational models that can predict unmeasured layers and, simultaneously, help dissect how cis-regulatory accessibility relates to transcription at gene resolution. Existing cross-modal methods often prioritize latent alignment or modality reconstruction, making it difficult to isolate the impact of model inductive bias under a shared cis-regulatory feature definition. We present SPEAR, a configuration-driven framework for gene-centric regression of single-cell gene expression from chromatin accessibility using a fixed transcription-startsite-centered representation shared across model families. Here we show that, under identical features, splits, and evaluation, model performance stratifies reproducibly across two multiome systems (mouse embryonic development and human hemogenic endothelium), with transformer encoders achieving the strongest mean test correlations (0.546 and 0.470, respectively). Per-gene performance distributions reveal substantial heterogeneity in predictability, indicating that accessibility-driven signal is concentrated in a subset of genes across contexts. Shapley value-based feature attribution further localizes predictive signal to promoter-proximal bins, with feature importance decaying with distance from the transcription start site, supporting a promoter-centered regime of cis-regulatory control within the modeled window. Together, these results provide a controlled comparison of inductive biases for chromatin- to-expression prediction and deliver analysis-ready outputs for gene-level interpretation. SPEAR is open source and publicaly available for use at https://github.com/UzunLab/SPEAR. Supplementary data are available.

bioinformatics↗

bioRxiv2026

scMultiPreDICT: A single-cell predictive framework with transcriptomic and epigenetic signatures

Cellular responses to genetic perturbations depend on both transcriptional programs and the epigenetic landscape. While single-cell multiomics technologies enable simultaneous profiling of gene expression and chromatin accessibility, the relative contribution of each regulatory layer to gene expression remains unclear. Existing computational approaches focus on data integration and gene regulatory network inference but do not systematically compare the predictive performance of transcriptional versus epigenetic features on a gene-by-gene basis. We present scMultiPreDICT, a computational framework for comparative predictive modeling of gene expression using single-cell multiomics data. scMultiPreDICT benchmarks RNA-only, ATAC-only and multimodal feature sets across six machine learning models including regression, tree-based learning and deep learning using multiple biological datasets. We show that RNA-derived features generally provide strong predictive power, whereas chromatin accessibility alone yields a modest performance. Surprisingly, multimodal integration does not uniformly improve prediction accuracy; instead, its benefit is gene-specific and context-dependent. Feature importance analysis reveals that transcriptional features dominate for most genes, whereas chromatin accessibility contributes meaningfully for a subset of genes in specific cellular contexts. Overall, the results demonstrate that regulatory layers contribute differently to gene expression. scMultiPreDICT provides a systematic framework for identifying the relative contributions of transcriptional and epigenetic regulation across genes and cellular contexts, guiding the design of targeted perturbation studies and the prioritization of regulatory layers for therapeutic interventions. scMultiPreDICT is implemented in R and available at https://github.com/UzunLab/scMultiPreDICT/.

bioinformatics↗

bioRxiv2025

BNIP3-mTOR Signaling Mediates Resistance to MET Inhibition in Glioblastoma

Glioblastoma (GBM) is an aggressive primary brain malignancy with poor prognosis due to rapid progression, extensive invasiveness, and intrinsic resistance to standard therapies. Aberrant activation of receptor tyrosine kinases (RTKs), particularly MET, drives tumor proliferation, invasion, and therapy resistance. Here, we show that MET inhibition with crizotinib induces senescence and mitochondrial dysfunction in glioma-initiating cells (GICs), in part via downregulation of the mitochondrial protein BNIP3. However, BNIP3 downregulation activates mTOR signaling, enabling adaptive resistance. Targeting mTOR with everolimus in combination with crizotinib synergistically enhances anti-tumor effects, inducing apoptosis, senescence, and necroptosis, and significantly reducing cell viability and sphere-forming capacity. In orthotopic GBM xenograft models, this combination, particularly in a sequential regimen, markedly prolongs survival without overt toxicity. Our findings identify a BNIP3-mTOR signaling axis as a critical mediator of resistance to MET inhibition and provide a mechanistic rationale for combined MET and mTOR targeting as a promising therapeutic strategy in GBM. Statement of Translational RelevanceGlioblastoma (GBM) remains a highly aggressive and treatment-resistant brain tumor with limited therapeutic options. Our study identifies a BNIP3-mTOR signaling axis as a key mediator of resistance to MET inhibition. We show for the first time that combined MET and mTOR inhibition exhibits synergistic effects against GBM in vitro and in vivo. This combination prolongs survival without overt toxicity, providing a strong preclinical rationale for clinical evaluation in GBM patients with high MET expression and offering a promising strategy to overcome adaptive resistance.

cancer biology↗

bioRxiv2025

CK2 inhibitor, CX-4945, enhances BH3 priming and promotes apoptosis of venetoclax-resistant AML by targeting antiapoptotic proteins

Acute myeloid leukemia (AML), the most common hematologic malignancy, generally has a poor prognosis. Despite initial favorable responses to the BCL2 inhibitor venetoclax (VEN), remission is transient, and AML is eventually fatal. Resistance to VEN is primarily due to the overexpression of anti-apoptotic proteins, including MCL-1, BCL2L1 (BCL-XL), and BCL2A1. Casein kinase II (CK2) is a serine-threonine kinase and a known suppressor of apoptosis. We and others have reported that protein kinase CK2 activity is high in leukemic stem cells (LSCs) and associated with resistance to chemotherapy. We have shown that the selective CK2 inhibitor, CX-4945, suppresses BCL-XL and has a significant anti-tumor effect in AML preclinical models. CK2 expression and activity are high in venetoclax-resistant AML (VR-AML) cell lines. Genetic and pharmacological inhibition of CK2 significantly altered VR-AML gene signature, decreased MCL-1 protein level, increased BH3 priming and sensitized VR-AML cells to apoptosis. More importantly, CX-4945 selectively targeted LSCs (CD34+CD38-) and chemoresistant (CD123+CD47+) subpopulation in VR-AML. CX-4945 combined with VEN decreased leukemia burden and prolonged the survival of VR-AML cell line-derived and patient-derived xenografts compared to either drug alone. The combinatorial treatment was well tolerated in mice without additional myelosuppression or organ toxicity. CX-4945 (silmitasertib) is being tested in several early-phase clinical trials against adult and pediatric cancers. These preclinical results support the use of CX-4945 in combination with VEN to overcome resistance to apoptosis and re-sensitize VR-AML to chemotherapy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=135 SRC="FIGDIR/small/696284v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@6a902forg.highwire.dtl.DTLVardef@2028f5org.highwire.dtl.DTLVardef@160fd4dorg.highwire.dtl.DTLVardef@95da53_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2025

CK2 inhibitor CX-4945 targets EWS-FLI1 protein abundance and shows anti-tumor activity in metastatic mouse models of Ewing Sarcoma

Ewing sarcoma (ES) is an aggressive bone tumor that primarily affects children, adolescents, and young adults. EWS-FLI1 oncogenic fusion protein is indispensable for ES tumor survival and progression. Casein kinase II (CK2) is a serine/threonine kinase that plays an essential role in apoptosis, DNA damage repair, and the cell cycle. CK2 is highly expressed in ES and associated with metastatic disease and poor 5-year overall survival. Here, we show that CK2 inhibitor CX-4945 (silmitasertib) induced K48-specific ubiquitination and subsequent proteasomal degradation of EWS-FLI1. CK2 inhibition effectively altered fusion protein abundance and disrupted the ES oncogenic signaling, specifically repressing metastasis-associated gene programs. Phenotypically, CK2-depleted ES cells showed decreased migration and invasion in vitro. In the metastatic ES xenograft model, CX-4945 significantly suppressed tumor growth, reduced tumor burden in the lungs, and extended overall survival. CK2 genetic depletion phenocopied CX-4945 effects both in vitro and in vivo. Molecular analysis of treated tumors confirmed robust target engagement, characterized by significant decrease in CK2 substrate phosphorylation levels. CX-4945 showed synergistic cytotoxicity with Irinotecan, a commonly used chemotherapy for the treatment of relapsed ES. Our findings establish CK2 as a novel therapeutic target in ES and provide a mechanistic rationale for combining CK2 inhibitor with chemotherapy regimens. Given the established safety profile of CX-4945, these results support clinical testing of the CK2 inhibitor fusion for treatment of metastatic ES. A Phase 1/2 trial (NCT06541262) is currently evaluating CX-4945 in combination with chemotherapy for pediatric and young adults with relapsed or refractory solid tumors, including ES. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/677357v2_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@2b590dorg.highwire.dtl.DTLVardef@1e38250org.highwire.dtl.DTLVardef@1808da0org.highwire.dtl.DTLVardef@d23355_HPS_FORMAT_FIGEXP M_FIG C_FIG Statement of Translational RelevanceOur study identifies Casein Kinase 2 (CK2) as a novel therapeutic target in Ewing Sarcoma (ES). We demonstrate that CK2 inhibition triggers K48-specific ubiquitination and subsequent proteasomal degradation of EWS-FLI1 oncoprotein. Additionally, CX-4945 simultaneously targets multiple oncogenic signaling pathways and EWS-FLI1 regulators, resulting in sustained suppression of proliferation and metastasis. In metastatic ES models, oral CX-4945 showed robust efficacy, significantly reducing tumor volume and lung metastasis while extending survival. These findings provide the mechanistic rationale for integrating CK2 inhibition into current chemotherapy regimens. The translational impact is immediate: CX-4945 has an established clinical development pathway, and its safety in combination with chemotherapy is currently being evaluated in an ongoing Phase 1 multicenter trial (NCT06541262), offering a novel targeted strategy for patients with metastatic Ewing Sarcoma.

cancer biology↗

bioRxiv2025

Landscape and mutational dynamics of G-quadruplexes in the complete human genome and in haplotypes of diverse ancestry

G-quadruplexes (G4s) are alternative DNA structures with diverse biological roles, but their examination in highly repetitive parts of the human genome has been hindered by the lack of reliable sequencing technologies. Recent long-read based genome assemblies have enabled their characterization in previously inaccessible parts of the human genome. Here, we examine the topography and genomic instability of potential G4-forming sequences in the gap-less, reference human genome assembly and in 88 haplotypes of diverse ancestry. We report that G4s are highly enriched in specific repetitive regions, including in certain centromeric and pericentromeric repeat types, and in ribosomal DNA arrays, and experimentally validate the most prevalent G4s detected. G4s tend to have lower methylation than expected throughout the human genome and are genomically unstable, showing an excess of all mutation types, including substitutions, insertions and deletions and most prominently structural variants. Finally, we show that G4s are consistently enriched at PRDM9 binding sites, a protein involved in meiotic recombination. Together, our findings establish G4s as dynamic and functionally significant elements of the human genome and highlight new avenues for investigating their contributions to human disease and evolution.

genomics↗

bioRxiv2024

An epigenetic basis for sustained inflammatory epithelial progenitor cell states in Crohn's disease

Defining consequential differences in intestinal epithelial stem cells in healthy humans versus those with inflammatory bowel disease (Crohns disease and ulcerative colitis) is essential for the development of much needed therapies to restore the epithelial barrier and maintain its fidelity. Employing single cell transcriptomic/epigenomic approaches and colonoid models from children and adults with Crohns disease led us to identify an inflammatory secretory progenitor (ISP) cell state present almost exclusively in patients with Crohns disease compared to control subjects. ISPs exhibit gene expression profiles consistent with normal secretory progenitor cells but concomitantly express a suite of distinguishing pro-inflammatory genes. Mechanistically, ISPs exhibit open chromatin and gene expression of ISP signature genes. While these ISP-specific genes are not expressed in intestinal stem cells, their chromatin is accessible in Crohns disease stem cells suggesting that ISP genes are epigenetically poised in stem cells and are transcriptionally activated in ISP cells in the presence of inflammatory stimuli. Consistently, Crohns disease colonoids exhibit sustained ISP gene expression that can be elicited further with pro-inflammatory cytokines or via co-culture with pro-inflammatory macrophages. In summary, we define differences in the epithelial stem and progenitor compartment of patients with Crohns disease suggesting aberrant stem cell differentiation and inflammatory gene expression arises during disease. HIGHLIGHTSO_LIWe identify an inflammatory secretory progenitor cell state in endoscopically non-inflamed tissue from pediatric and adult patients with Crohns disease. C_LIO_LICrohns disease epithelial stem and progenitor cells display increased chromatin accessibility preceding the emergence of inflammatory secretory progenitor cell states. C_LIO_LICrohns disease colonoids from non-inflamed regions contain inflammatory secretory progenitor cells in the absence of inflammatory stimuli C_LIO_LIInflammatory secretory progenitor cells expand in colonoid culture in response to cytokine stimulation or co-culture with pro-inflammatory macrophages C_LI

physiology↗

bioRxiv2023

Network size affects the complexity of activity in human iPSC-derived neuronal populations

Multi-electrode recording of neural activity in cultures offer opportunities for understanding how the structure of a network gives rise to function. Although it is hypothesized that network size is critical for determining the dynamics of activity, this relationship in human neural cultures remains largely unexplored. By applying new methods for analyzing neural activity to human iPSC derived cultures at either low-densities or high-densities, we uncovered the significant impacts that neuron number has on the individual neurophysiological properties of cells (such as firing rates), the collective behavior of the networks these cultures formed (as measured by entropy), and the relationship between the two. As a result, simply changing the densities of neurons generated dynamics and network behavior that differed not just in degree, but in kind. Beyond revealing the relationship between network structure and function, our findings provide a novel analytical framework to study diseases where network level activity is affected.

neuroscience↗

bioRxiv2021

SINBAD: a flexible tool for single cell DNA methylation data

DNA methylation is an epigenetic mark that has vital importance in both development and disease. Single cell bisulfite sequencing technologies enable profiling of the methylome at high resolution, providing the basis for dissecting the heterogeneity and dynamics of DNA methylation in complex tissues and over time. Despite the rapid increase in the number of experimental protocols for methylome sequencing, analytical tools designed specifically for single-cell data are lacking. We developed a computational tool, SINBAD, for efficient and standardized pre-processing, quality assessment and analysis of single cell methylation data. Starting from multiplexed sequencing reads, major analysis modules of SINBAD include preprocessing, read mapping, methylation quantification, multivariate analysis, and gene signature profiling. SINBAD provides a flexible platform to implement interoperable and robust processing of single-cell methylome data.

bioinformatics↗

bioRxiv2021

Epigenetic state determines inflammatory sensing in neuroblastoma

Immunotherapy has revolutionized cancer treatment, but many cancers are not impacted by currently available immunotherapeutic strategies. Here, we investigated inflammatory signaling pathways in neuroblastoma, a classically "cold" pediatric cancer. By testing the functional response of a panel of 20 diverse neuroblastoma cell lines to three different inflammatory stimuli, we found that all cell lines have intact interferon signaling and all but one lack functional cGAS-STING signaling. However, toll-like receptor (TLR) signaling, particularly through TLR3, was heterogeneous. Six cell lines showed robust response, five of which are in the mesenchymal epigenetic state, while all 14 unresponsive cell lines are in the adrenergic state. Genetically switching the adrenergic BE2(c) cell line towards the mesenchymal state fully restored TLR responsiveness. In responsive cells, TLR3 activation results in the secretion of pro-inflammatory cytokines, enrichment of inflammatory transcriptomic signatures, and increased tumor killing by T-cells in vitro. Using single cell RNA sequencing data, we show that human neuroblastoma cells with stronger mesenchymal signatures have a higher basal inflammatory state, demonstrating intra-tumoral heterogeneity in inflammatory signaling that has significant implications for immunotherapeutic strategies in this aggressive childhood cancer.

cancer biology↗

bioRxiv2020

Single-cell multi-omics reveals elevated plasticity and stem-cell-like blasts relevant to the poor prognosis of KMT2A-rearranged leukemia

Infant ALL is a devastating malignancy caused by rearrangements of the KMT2A gene (KMT2A-r) in approximately 70% of patients. The outcome is dismal and younger age at diagnosis is associated with increased risk of relapse. To discover age-specific differences and critical drivers that mediate the poor outcome in KMT2A-r ALL, we subjected KMT2A-r leukemias and normal hematopoietic cells from patients of different ages to multi-omic single cell analysis using scRNA-Seq, scATAC-Seq and snmC-Seq2. We uncovered the following critical new insights: Leukemia cells from infants younger than 6 months have a greatly increased lineage plasticity and contain a hematopoietic stem and progenitor-like (HSPC-like) population compared to older infants. We identified an immunosuppressive signaling circuit between the HSPC-like blasts and cytotoxic lymphocytes in younger patients. Both observations offer a compelling explanation for the ability of leukemias in young infants to evade chemotherapy and immune mediated control. Our analysis also revealed pre-existing lymphomyeloid primed progenitor and myeloid blasts at initial diagnosis of B-ALL. Tracking of leukemic clones in two patients whose leukemia underwent a lineage switch documented the evolution of such clones into frank AML. These findings provide critical insights into KMT2A-r ALL and have potential clinical implications for targeted inhibitors or multi-target immunotherapy approaches. Beyond infant ALL, our study demonstrates the power of single cell multi-omics to detect tumor intrinsic and extrinsic factors affecting rare but critical subpopulations within a malignant population that ultimately determines patient outcome.

cancer biology↗

bioRxiv2020

Predictive modeling of single-cell DNA methylome data enhances integration with transcriptome data

Despite rapid advances in single-cell DNA methylation profiling methods, computational tools for data analysis are lagging far behind. A number of tasks, including cell type calling and integration with transcriptome data, requires the construction of a robust gene activity matrix as the prerequisite but challenging task. The advent of multi-omics data enables measurement of both DNA methylation and gene expression for the same single cells. Although such data is rather sparse, they are sufficient to train supervised models that capture the complex relationship between DNA methylation and gene expression and predict gene activities at single-cell level. Here, we present MAPLE (Methylome Association by Predictive Linkage to Expression), a computational framework that learns the association between DNA methylation and expression using both gene- and cell-dependent statistical features. Using multiple datasets generated with different experimental protocols, we show that using predicted gene activity values significantly improves several analysis tasks, including clustering, cell type identification and integration with transcriptome data. With the rapid accumulation of single-cell epigenomics data, MAPLE provides a general framework for integrating such data with transcriptome data.

genomics↗

bioRxiv2019

Transcriptional regulatory network controlling the ontogeny of hematopoietic stem cells

Hematopoietic stem cell (HSC) ontogeny is accompanied by dynamic changes in gene regulatory networks. We performed RNA-Seq and histone mark ChIP-Seq to define the transcriptomes and epigenomes of cells representing key developmental stages of HSC ontogeny in the mouse. The five populations analyzed were embryonic day 10.5 (E10.5) endothelium and hemogenic endothelium from the major arteries (dorsal aorta, umbilical and vitelline), an enriched population of pre-hematopoietic stem cells (pre-HSCs), fetal liver HSCs, and adult bone marrow HSCs. We observed dynamic and combinatorial epigenetic changes that mark regulatory DNA sequences including gene promoters and enhancers. Using epigenetic signatures, we identified enhancers for each developmental stage. Only 12% of enhancers are primed, and 78% are active, suggesting the vast majority of enhancers are established de novo at the developmental stages where they are required to control their target genes, without prior priming in earlier stages. We constructed developmental-stage-specific transcriptional regulatory networks during HSC ontogeny by linking enhancers and predicted bound transcription factors to their target promoters using a novel computational algorithm. Our computational analyses predicted known transcriptional regulators for the endothelial-to-hematopoietic transition, validating our overall approach, and identified putative novel transcription factors whose regulon activities correlate with the emergence of pre-HSCs. We validated roles for the broadly expressed transcription factors SP3 and MAZ in arterial hemogenic endothelium. Our data and computational analyses provide a useful resource for uncovering regulators of HSC formation.

developmental biology↗

bioRxiv2019

Developmental trajectory of pre-hematopoietic stem cell formation fromendothelium

Hematopoietic stem and progenitor cells (HSPCs) differentiate from hemogenic endothelial (HE) cells through an endothelial to hematopoietic cell transition (EHT). Newly formed HSPCs accumulate in intra-arterial clusters (IACs) before colonizing the fetal liver. To examine the cell and molecular transitions during the EHT, and the heterogeneity of HSPCs within IACs, we profiled [~]37,000 cells from the caudal arteries of embryonic day 9.5 (E9.5) to E11.5 mouse embryos by single-cell transcriptome and chromatin accessibility sequencing. We identified an intermediate developmental stage prior to HE that we termed pre-HE, characterized by increased accessibility of chromatin enriched for SOX, FOX, GATA, and SMAD motifs. A developmental bottleneck separates pre-HE from HE, with RUNX1 dosage regulating the efficiency of the pre-HE to HE transition. Distinct developmental trajectories within IAC cells result in two populations of CD45+ HSPCs; an initial wave of lympho-myeloid-biased progenitors, followed by precursors of hematopoietic stem cells (pre-HSCs).

developmental biology↗

bioRxiv2019

scATAC-pro: a comprehensive workbench for single-cell chromatin accessibility sequencing data

Single cell chromatin accessibility sequencing (scCAS) has become a powerful technology for understanding epigenetic heterogeneity of complex tissues. The development of several experimental protocols has led to a rapid accumulation of scCAS data. In contrast, there is a lack of open-source software tools for comprehensive processing, analysis and visualization of scCAS data generated using all existing experimental protocols. Here we present scATAC-pro for quality assessment, analysis and visualization of scCAS data. scATAC-pro provides flexible choice of methods for different data processing and analytical tasks, with carefully curated default parameters. A range of quality control metrics are computed for several key steps of the experimental protocol. scATAC-pro generates summary reports for both quality assessment and downstream analysis. It also provides additional utility functions for generating input files for various types of downstream analyses and data visualization. With the rapid accumulation of scCAS data, scATAC-pro will facilitate studies of epigenomic heterogeneity in healthy and diseased tissues.

bioinformatics↗