Biology subjects

Isobe, T.

Publications and source records attributed to Isobe, T..

13 recordsLinked to original sources

bioRxiv2026

Single-Cell Proteo-Transcriptomic Profiling Uncovers Post-Translational Regulatory Layers in Human Hematopoiesis

Background: Hematopoietic stem cells (HSCs) have the unique ability to produce all mature cell types in the blood and understanding the mechanisms governing their differentiation and renewal is a driving question in stem cell biology. While single-cell RNA sequencing has transformed our view of human hematopoiesis, mRNA abundance represents an incomplete proxy for functional cell states. Here, we apply single-cell multimodal profiling to simultaneously measure 280 surface and intracellular protein targets alongside whole transcriptomes within individual adult human hematopoietic stem and progenitor cells. Results: By directly coupling modalities within single cells, we show that protein-RNA correlations peak dynamically in transitioning intermediate progenitors across lineages, consistent with pervasive post-transcriptional mechanics underlying lineage choice. Furthermore, key transcription factor proteins maintain multilineage co-expression longer into commitment than their transcripts, demarcating a possible window of fate decision reversibility. Moreover, low and flat CTNNB1 mRNA levels mask late-erythroid {beta}-catenin protein enrichment, apparently pairing with E-cadherin expression and suggesting post-translational stabilization at the cell membrane. Conclusions: This dataset enables the observation of translational dynamics and RNA-protein relationships throughout the differentiation landscape at an unprecedented level of granularity. Together, our findings demonstrate that transcriptomics alone misses fundamental regulatory programs, establishing single-cell proteo-transcriptomics as a powerful tool for decoding human stem cell fate.

cell biology↗

bioRxiv2026

DNA barcoding-based paired daughter cell analysis reveals division preferences of hematopoietic stem cells

Hematopoietic stem cells(HSCs) maintain their pools by stem-stem division and produce mature blood cells through stem-progenitor or progenitor-progenitor division. A paired daughter cell(PDC) assay combined with single cell transplantation is a powerful method to compare the lineage outputs of two HSC daughter cells. However, single-cell transplantation precludes large-scale analysis of daughter-cell pairs, as only one cell can be transplanted per recipient. Here, we developed a DNA barcoding-based PDC assay to overcome this limitation, enabling simultaneous analysis of 476 daughter pairs from individual HSC divisions and revealing that daughter-cell fates are coordinated and that HSC division patterns are biased toward stem-stem and progenitor-progenitor divisions rather than stem-progenitor divisions. These findings indicate that HSC fate outcomes are directed toward symmetric division outcomes. Integration of single-cell RNA sequencing with DNA barcoding revealed a continuum of HSC states--from balanced HSCs to myeloid-biased HSCs and ultimately to a low-output HSC subset--in which progressively reduced production of mature blood cells relative to stem cell expansion, a proxy for stem-stem division bias, exhibits distinct activities of transcription factors and signaling pathways. Overall, our analysis uncovers characteristic patterns of HSC division and links stem maintenance with distinct molecular features.

cell biology↗

bioRxiv2026

LDB1-dependent enhancer connectivity defines T-cell leukemia identities and masks metabolic vulnerabilities

Spatial enhancer connectivity is fundamental to proper gene regulation. Enhancer dysregulation has emerged as a hallmark of cancers, including T-cell acute lymphoblastic leukemias (T-ALL). T-ALL are aggressive malignancies characterized by marked transcriptional heterogeneity driven by distinct stages of developmental arrest and diverse noncoding alterations. How these cancers co-opt nuclear architecture to rewire enhancer connectivity remains poorly understood. Here, we report that the LDB1 chromatin architectural complex is an essential mediator of enhancer-oncogene looping that sustains oncogenic transcriptional programs across multiple T-ALL subtypes. Integrating bulk and single-cell transcriptomic data from patients with T-ALL and healthy hematopoietic controls, we show that the LDB1-dependent regulatory circuitry defines the molecular identities of distinct T-ALL subtypes while restricting plasticity toward alternative cell states. LDB1 loss dismantles chromatin looping among cell state-defining enhancers liberating them to form promiscuous interactions with nearby genes. This enhancer rewiring stimulates expression of key metabolic genes, creating a mevalonate pathway dependency exploitable with statin treatment. Our study establishes LDB1 as a central executor of T-ALL regulatory circuitry and more broadly illustrates chromatin rewiring as a source of targetable dependencies in cancer.

Cancer Biology↗

bioRxiv2026

Self-supervised learning for a gene program-centric view of cell states

Single-cell omics has extended the biological interrogation of cell state from examining the expression of individual genes to unbiased profiling of tens of thousands of genes at once. However, extracting biological insights from such high-dimensional data remains challenging. To enable downstream analyses, many computational approaches compress cell state into a single latent representation. This can obscure the structure of underlying gene programs (GP), defined as coordinated sets of biologically related genes, such as signalling pathway response modules or transcription factor targets. Here, we present Tripso, a self-supervised transformer deep learning model which learns multiple GP-specific embeddings from predefined GPs, while also enabling the discovery of novel, data-driven GPs. Tripso facilitates principled comparisons across development, disease, and experimental systems. Firstly, in a dataset of human hematopoietic cells spanning prenatal development through adulthood and aging and including newly generated data, Tripso resolved age-specific GP patterns, including elevated JAK-STAT activity in pediatric hematopoietic cells and postnatal shifts in IKZF1 GP activity during B cell differentiation. Secondly, leveraging Tripso GP embeddings and comparing in vivo to in vitro data, we hypothesized and experimentally validated that inhibition of the SEC61 translocon improved maintenance of hematopoietic stem cells in culture. Finally, Tripsos capacity for data-driven GP discovery revealed a previously uncharacterized tissue-resident memory T cell GP with increased activity in atopic dermatitis. Its spatial co-localization with sebaceous gland-associated immune niches was demonstrated in spatial transcriptomic and proteomic data. Thus, by moving beyond single embeddings of cellular states, Tripso enables interpretable and actionable discoveries, demonstrating how GP-centric modelling can generate hypotheses with substantial biomedical relevance. By anchoring cellular representations in meaningful GPs, Tripso establishes a principled and biologically grounded framework towards the development of interpretable virtual cell models.

bioinformatics↗

bioRxiv2026

Predicting how perturbations reshape cellular trajectories with PerturbGen

A major challenge in biology is predicting how cells transition between states over time and how perturbations disrupt these transitions. Understanding such dynamics is critical for identifying interventions that reverse pathological programs or reprogram cells toward desired states. Although recent computational approaches can predict single-cell perturbation responses in silico, they cannot predict responses across dynamic cell trajectories, for example how early perturbations reconfigure later cell states. To address this gap, we introduce PerturbGen, a generative foundation model trained on over 100 million single-cell transcriptomes that predicts perturbation responses along cellular trajectories. PerturbGen predicts how genetic perturbation at source state shapes downstream states, alters gene programs and trajectories across time, for example in differentiation or disease progression. We apply PerturbGen to three newly generated multi-condition human single-cell datasets spanning immune responses, hematopoiesis and skin development. In an in vivo immune challenge, PerturbGen predicts that knocking out an IL1B signal in myeloid cells attenuates later cytokine-interferon programs, with downstream changes consistent with a reversal of IL-1{beta} stimulation signature. In hematopoiesis, anchoring perturbation-induced programs to human genetics enables simulation of monogenic blood disorders, recapitulates established disease-associated biology whilst systematically revealing lineage-specific programs, including in lineages where this was not previously possible. In skin organoids, PerturbGen predicted that Wnt activation enhances stromal differentiation recapitulating the trajectory observed in human prenatal skin, findings that were functionally validated by experimentally activating Wnt signaling. Together, PerturbGen extends modeling of gene perturbations from static to dynamic cellular systems. We envision PerturbGen enabling the creation of in silico, trajectory-aware perturbation atlases and virtual cells across diverse biological scenarios, supporting optimization of disease models and prioritization of candidate molecular interventions for therapeutic discovery.

bioinformatics↗

bioRxiv2025

Development of iPSC-Derived T Cells Targeting EGFR Neoantigens in Non-Small Cell Lung Cancer

A long-sought goal of cancer immunotherapy is to mass-produce T cells that specifically target tumor neoantigens. One decisive challenge is the identification of neoantigens derived from cancer driver genes. Here, we identify T cells that recognize the NSCLC-associated EGFR C797S mutation, which confers resistance to current inhibitors and is linked to poor prognosis. To overcome limitations in T cell availability, we reprogrammed EGFR C797S-specific T cells into induced pluripotent stem cells (iPSCs) and re-differentiated them into CD8 T cells. These iPSC-derived T cells specifically recognized the EGFR C797S mutation and effectively killed cancer cells expressing this mutation. Our findings underscore the potential of targeting driver mutation-derived neoantigens for immunotherapy and demonstrate that iPSC-derived T cells can mediate antitumor effects. Collectively, this approach combining neoantigen identification with T cell reprogramming may offer a promising strategy for targeting drug-resistant tumors.

immunology↗

bioRxiv2025

The E2F4 transcriptional repressor is a key mechanistic regulator of colon cancer resistance to irinotecan (CPT-11).

Background. Colorectal carcinomas (CRCs) are seldom eradicated by cytotoxic chemotherapy. Cancer cells with stem-like functional properties, often referred to as "cancer stem cells" (CSCs), display preferential resistance to several anti-tumor agents used in cancer chemotherapy, but the molecular mechanisms underpinning their selective survival remain only partially understood. Methods. In this study, we used Transcription Factor Target Genes (TFTG) enrichment analysis to identify transcriptional regulators (activators or repressors) that undergo preferential activation by chemotherapy in CRC cells with a "bottom-of-the-crypt" phenotype (EPCAM+/CD44+/CD166+; CSC-enriched) as compared to CRC cells with a "top-of-the-crypt" phenotype (EPCAM+/CD44neg/CD166neg; CSC-depleted). The two cell populations were purified in parallel by fluorescence-activated cell sorting (FACS) from a patient-derived xenograft (PDX) line representative of a moderately differentiated human CRC, following in vivo chemotherapy with irinotecan (CPT-11). The transcriptional regulators identified as differentially activated were tested for differential expression in normal vs. cancer tissues, and in cell populations enriched in stem/progenitor cell-types as compared to differentiated lineages (goblet cells, enterocytes) in the mouse colon epithelium. Finally, the top candidate was tested for mechanistic contribution to drug-resistance by selective down-regulation using short-hairpin RNAs (shRNAs). Results. Our analysis identified E2F4 and TFDP1, two core components of the DREAM transcriptional repression complex, as transcriptional modulators preferentially activated by irinotecan in EPCAM+/CD44+/CD166+ as compared to EPCAM+/CD44neg/CD166neg cancer cells. The expression levels of both genes (E2F4, TFDP1) were found up-regulated in CRCs as compared to human normal colon tissues, and in a sub-population of mouse colon epithelial cells enriched in stem/progenitor elements (Epcam+/Cd44+/Cd66alow/Kitneg) as compared to other sub-populations enriched in either goblet cells (Epcam+/Cd44+/Cd66alow/Kit+) or enterocytes (Epcam+/Cd44neg/Cd66ahigh). Most importantly, E2F4 down-regulation using shRNAs dramatically enhanced the sensitivity of human CRCs to in vivo treatment with irinotecan, across three independent PDX models. Conclusions. Our data identified E2F4 and the DREAM repressor complex as critical regulators of human CRC resistance to irinotecan, and as candidate targets for the development of chemo-sensitizing agents.

cancer biology↗

bioRxiv2024

diffGEK: Differential Gene Expression Kinetics

A defining characteristic of all metazoan organisms is the existence of different cell states or cell types, driven by changes in gene expression kinetics, principally transcription, splicing and degradation rates. The RNA velocity framework utilizes both spliced and unspliced reads in single cell mRNA preparations to predict future cellular states and estimate transcriptional kinetics. However, current models assume either constant kinetic rates, rates equal for all genes, or rates completely independent of progression through differentiation. Consequently, current models for rate estimation are either underparametrised or overparametrised. Here we developed a new method (diffGEK) which overcomes this issue, and allows comparison of transcriptional rates across different biological conditions. diffGEK assumes that rates can vary over a trajectory, but are smooth functions of the differentiation process. Analysing Jak2 V617F mutant versus wild type mice for erythropoiesis, and Ezh2 KO versus wild type mice in myelopoiesis, revealed which genes show altered transcription, splicing or degradation rates between different conditions. Moreover, we observed that, for some genes, compensatory changes between different rates can result in comparable overall mRNA levels, thereby masking highly dynamic changes in gene expression kinetics in conventional expression analysis. Collectively, we report a robust pipeline for comparative expression analysis based on altered transcriptional kinetics to discover mechanistic differences missed by conventional approaches, with broad applicability across any biomedical research question where single cell expression data are available for both wild type and treatment/mutant conditions.

bioinformatics↗

bioRxiv2024

MECOM promotes leukemia progression and inhibits mast cell differentiation through functional competition with GATA2

MECOM is a nuclear transcription factor essential for the proliferation of hematopoietic stem cells (HSCs) and myeloid leukemia cells. MECOM contains N- and C-terminal zinc finger domains (ZFDs) and binding motifs for the corepressor CtBP to regulate gene expression. Recent studies have shown that germline MECOM variants are associated with thrombocytopenia, radioulnar synostosis, and bone marrow failure, collectively termed MECOM-associated syndromes. Although the mutations are clustered in the C-terminal ZFD, how these mutations affect MECOM function has remained unclear. In addition, the individual genes and pathways regulated by MECOM are less well understood. In this study, we showed that the C-terminal ZFD is a major DNA-binding domain of MECOM and that the disease-associated mutations abolish the DNA-binding ability. We also found that MECOM functionally antagonizes GATA2 through the C-terminal ZFD-mediated DNA binding and CtBP interaction, thereby promoting myeloid leukemogenesis while inhibiting mast cell differentiation. Furthermore, we generated mutant MECOM knockin mice harboring a C-terminal ZFD mutation that recapitulate several features of MECOM-associated syndromes, including HSC and B-cell reduction. Our study demonstrates that C-terminal ZFD mutations are loss-of-function mutations with reduced DNA-binding ability, reveals the critical role of MECOM in inhibiting GATA2, and provides a novel mouse model for MECOM-associated syndromes.

molecular biology↗

bioRxiv2023

Microbiome ssRNA as an environmental cue to activate TLR13-dependent tissue-protective programs in CD5Lhi hepatic macrophages

Hepatic macrophages maintain liver homeostasis, but little is known about the signals that activate the hepatoprotective programs within macrophages. Here, we show that toll-like receptor 13 (TLR13), a sensor of bacterial 23S ribosomal RNA (rRNA), senses microbiome RNAs to drive tissue-protective responses in CD5Lhi hepatic macrophages. Splenomegaly and hepatomegaly developed in the absence of the endosomal RNase, RNaseT2, via TLR13-dependent macrophage proliferation. Furthermore, TLR13 in hepatic Ly6Clo macrophages activated the transcription factors LXR and MafB, leading to expression of tissue-clearance molecules, such as CD5L, C1qb, and Axl. Consequently, Rnaset2-/- mice developed resistance to acute liver injury caused by challenges with acetaminophen and lipopolysaccharide + D-galactosamine. TLR13 responses in Rnaset2-/- mice were impaired by antibiotics, suggesting that TLR13 were activated by microbiome rRNAs, which was detected in the sera and hepatic macrophages. Repeated administration of wild-type mice with the TLR13 ligand, rather than other TLR ligands, selectively increased the number of Kupffer cells, which expressed immunoregulatory and tissue-clearance genes as hepatic macrophages in Rnaset2-/- mice did. Our results suggest that microbiome ssRNA serves as an environmental cue for initiating tissue-protective TLR13 responses in hepatic macrophages. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=192 SRC="FIGDIR/small/540294v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@69614eorg.highwire.dtl.DTLVardef@737c69org.highwire.dtl.DTLVardef@1ecd9eforg.highwire.dtl.DTLVardef@d7e10d_HPS_FORMAT_FIGEXP M_FIG In the absence of an endosomal RNase, RNase T2, microbiome RNAs circulating in the vasculature activate TLR13 in hepatic macrophages to drive hepatoprotective responses through expression of immunoregulatory and tissue-clearance molecules. Consequently, mice lacking RNase T2 are resistant against acute liver injuries caused by acetaminophen and LPS + D-galactosamine. C_FIG

immunology↗

bioRxiv2022

TLR7/8 stress response drives histiocytosis in SLC29A3 disorders

SLC29A3, also known as ENT3, is a lysosomal transmembrane protein that transports nucleosides from the lysosomes to the cytoplasm1. Loss-of-function mutations in SLC29A3 cause lysosomal nucleoside storage and histiocytosis: phagocyte accumulation in multiple organs2,3. However, little is known about the mechanism through which lysosomal nucleoside storage drives histiocytosis. Herein, histiocytosis in Slc29a3-/- mice was demonstrated to depend on TLR7, which senses a combination of nucleosides and oligoribonucleotides4,5. TLR7 responded to lysosomal nucleoside storage and enhanced proliferation of Ly6Chi CX3CR1low immature monocytes and their maturation into Ly6Clow phagocytes in Slc29a3-/- mice. Because accumulated nucleosides primarily originated from cell corpse phagocytosis, TLR7 in immature monocytes recognized nucleoside storage as lysosomal stress and increased phagocyte numbers. This non-inflammatory compensatory response is referred to as the TLR7 stress response where Syk, GSK3{beta}, {beta}-catenin, and mTORC1 serve as downstream signalling molecules. In SLC29A3 disorders, histiocytosis accompanies inflammation6,7. Nucleoside storage failed to induce pro-inflammatory cytokine production in Slc29a3-/- mice, but enhanced ssRNA-dependent pro-inflammatory cytokine production in Ly6Chi classical monocytes and peripheral macrophages, not proliferating immature monocytes. Patient-derived monocytes harbouring G208R SLC29A3 mutation showed higher survival and proliferation in the presence of M-CSF and produced larger amounts of IL-6 upon ssRNA stimulation than did those derived from healthy subjects. A TLR8 antagonist inhibited the survival/proliferation of patient-derived macrophages. These results demonstrated that TLR7/8 responses to lysosomal nucleoside stress drive SLC29A3 disorders.

immunology↗

bioRxiv2019

Nucleosides drive histiocytosis in SLC29A3 disorders by activating TLR7

A lysosomal transmembrane protein SLC29A3 transports nucleosides from lysosomes to the cytoplasm. Loss-of-function mutations of the SLC29A3 gene cause lysosomal nucleoside storage in monocyte/macrophages, leading to their accumulation called histiocytosis in humans and mice. Little is known, however, about a mechanism behind nucleoside-dependent histiocytosis. TLR7, an innate immune sensors for single stranded RNA, bind and respond to nucleosides. We here show that they drive nucleoside-mediated histiocytosis. Patrolling monocyte/macrophages accumulate in the spleen of Slc29a3-/- mice but not Slc29a3-/- Tlr7-/- mice. Accumulated patrolling monocyte/macrophages stored nucleosides derived from cell corpse. TLR7 was recruited to phagosomes and activated as evidenced by TLR7-dependent phagosomal maturation. TLR7 induced hyper-responsiveness to M-CSF in Slc29a3-/- monocyte/macrophages. These results suggest that TLR7 drives histiocytosis in SLC29A3 disorders. One Sentence SummarySLC29A3 disorders are caused by activation of TLR7 with accumulated nucleosides in lysosomes.

immunology↗

bioRxiv2019

Estrogenic action by tris(2,6-dimethylphenyl) phosphate, an impurity in resorcinol bis flame retardant formulations, impairs the development of female reproductive functions

BackgroundDevelopmental exposure to environmental chemicals with estrogen-like activity has been suspected to permanently impair womens health. ObjectivesIn this study, we used a mouse model to evaluate whether a chemical having putative estrogen-like action detected by in vitro study, namely tris(2,6-dimethylphenyl) phosphate (TDMPP) impairs sexual differentiation of the brain. MethodsTo induce developmental exposure, TDMPP was administered subcutaneously to dams from gestational day 14 to parturition and to pups from postnatal day 0 to 9 at two different doses (TDMPP-high and TDMPP-low groups, respectively). To compare the results between TDMPP and typical estrogen exposures, 17{beta}-estradiol was administered at two different doses on the same treatment schedule (E2-low and E2-high groups, respectively). A vehicle control group was formed by administering an equivalent volume of sesame oil to dams and to pups. ResultsAlthough there was no specific impairment in female ovary morphology, precocious puberty, detected by vaginal opening, and irregular estrous cycles, detected by vaginal cytology after sexual maturation, were found in TDMPP- and E2-treated groups, but not in the vehicle control group. In addition, lower lordosis response during reproductive behavioral tests was found in TDMPP- or E2-treated groups. To further clarify whether TDMPP directly affects sexual differentiation of the brain, we evaluated the transfer of TDMPP into the brain and the formation of sexual dimorphic nuclei. We detected a certain amount of TDMPP and its metabolites in the mouse brain after treatment, and masculinization of sexual dimorphic nuclei in the hypothalamus of female mice, suggesting the direct impact of TDMPP in developing brain. DiscussionTaken together, the experimental evidence demonstrates that TDMPP directly enters the fetal and neonatal brain, inducing changes of sex-related brain structures, and impairing female reproductive functions.

pharmacology and toxicology↗