Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Cell fate”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 19 recordsLinked to original sources
PubMed2026

The DLX/Notch axis is necessary for spatiotemporal regulation of neural cell fate.

Neuronal-glial cell fate switch during forebrain development is highly regulated. DLX transcription factors are necessary for promoting GABAergic interneuron differentiation and migration but the mechanisms for concomitant repression of glial fate in neural progenitors remain elusive. Here, the DLX2 regulatory network dynamic in the developing ventral telencephalon is characterised using a multi-omic approach at single-cell resolution, including single-cell whole genome spatial transcriptomics. We identify a secondary proliferative zone in the ventral subventricular zone and spatiotemporal-context dependent Notch pathway repression by DLX2 in maintaining progenitor populations and facilitating neural differentiation. We find that DLX2 controls cell fate determination by directly repressing Notch signalling genes as well as glial fate-promoting transcription factors, thereby inhibiting early adoption of oligodendroglial differentiation during neurogenesis. Here, we show that temporal cell fate switch is mediated by DLX2 via a multilayer gene regulatory network, redefining current understanding of neuronal-glial cell specification mechanisms in the developing telencephalon.

Animals↗
PubMed2025

Generative model for the first cell fate bifurcation in mammalian development.

The first cell fate bifurcation in mammalian development directs cells toward either the trophectoderm (TE) or inner cell mass (ICM) compartments in pre-implantation embryos. This decision is regulated by the subcellular localization of a transcriptional co-activator YAP and takes place over several progressively asynchronous cleavage divisions. As a result of this asynchrony and variable arrangement of blastomeres, reconstructing the dynamics of the TE/ICM cell specification from fixed embryos is extremely challenging. To address this, we developed a live-imaging approach and applied it to measure pairwise dynamics of nuclear YAP and its direct target genes, CDX2 and SOX2, which are key transcription factors of the TE and ICM, respectively. Using these datasets, we constructed a generative model of the first cell fate bifurcation, which reveals the time-dependent statistics of the TE and ICM cell allocation. In addition to making testable predictions for the joint dynamics of the full YAP/CDX2/SOX2 motif, the model revealed the stochastic nature of the induction timing of the key cell fate determinants and identified the features of YAP dynamics that are necessary or sufficient for this induction. Notably, temporal heterogeneity was particularly prominent for SOX2 expression among ICM cells. As heterogeneities within the ICM have been linked to the initiation of the second cell fate decision in the embryo, understanding the origins of this variability is of key significance. The presented approach reveals the dynamics of the first cell fate choice and lays the groundwork for dissecting the next cell fate decisions in mouse development.

Animals↗
PubMed2025

Deciphering Cell Fate and Clonal Dynamics via Integrative Single-Cell Lineage Modeling.

Through natural or synthetic lineage barcodes, single-cell technologies now enable the joint measurement of molecular states and clonal identities, providing an unprecedented opportunity to study cell fate and dynamics. Yet, most computational methods for inferring cell development and differentiation rely exclusively on transcriptional similarity, overlooking the lineage information encoded by lineage barcodes. This limitation is exemplified by T cells, where subtle transcriptional differences mark divergent fates with distinct biological activity. Single-cell RNA and matched TCR sequencing is now ubiquitous in the analysis of clinical samples, where the TCR sequence provides an endogenous clonal barcode and could reveal clonal T cell responses. We present Clonotrace, a computational framework that jointly models gene expression and clonotype information to infer cell state transitions and fate biases with higher fidelity. While motivated by challenges in analyzing T cell populations, especially in the tumor microenvironment and immunotherapy settings, Clonotrace is broadly applicable to any lineage-barcoded single-cell dataset. Across diverse systems including T cells, hematopoietic differentiation, and cancer therapy resistance models, Clonotrace reveals differentiation hierarchies, distinguishes unipotent from multipotent states, and identifies candidate fate-determining genes driving lineage commitment.

Journal Article↗
PubMed2025

Deciphering Cell Fate and Clonal Dynamics via Integrative Single-Cell Lineage Modeling.

Through natural or synthetic lineage barcodes, single-cell technologies now enable the joint measurement of molecular states and clonal identities, providing an unprecedented opportunity to study cell fate and dynamics. Yet, most computational methods for inferring cell development and differentiation rely exclusively on transcriptional similarity, overlooking the lineage information encoded by lineage barcodes. This limitation is exemplified by T cells, where subtle transcriptional differences mark divergent fates with distinct biological activity. Single-cell RNA and matched TCR sequencing is now ubiquitous in the analysis of clinical samples, where the TCR sequence provides an endogenous clonal barcode and could reveal clonal T cell responses. We present Clonotrace, a computational framework that jointly models gene expression and clonotype information to infer cell state transitions and fate biases with higher fidelity. While motivated by challenges in analyzing T cell populations, especially in the tumor microenvironment and immunotherapy settings, Clonotrace is broadly applicable to any lineage-barcoded single-cell dataset. Across diverse systems including T cells, hematopoietic differentiation, and cancer therapy resistance models, Clonotrace reveals differentiation hierarchies, distinguishes unipotent from multipotent states, and identifies candidate fate-determining genes driving lineage commitment.

Journal Article↗
PubMed2026

Transcription regulation of cell fate plasticity - from embryonic development to tissue regeneration.

Cell fate plasticity refers to the capacity of cells sharing the same genome to alter, reverse, or reconfigure their identity under physiological, pathological, or experimental conditions. This property underlies embryonic development, cellular reprogramming, and tissue regeneration, but becomes progressively restricted as lineage identity is stabilized. Embryonic development represents an intrinsic process of fate transitions, whereas reprogramming and regeneration reveal how differentiated cells can dedifferentiate or transdifferentiate under specific conditions. Across these contexts, plasticity is governed by multilayered regulatory networks involving transcription factors, epigenetic regulators, cofactors, and the core transcription machinery. Robust regulatory programs stabilize cell identity, whereas stochastic fluctuations in gene expression and chromatin state can prime cells for fate transitions, adding a tunable dimension to plasticity control. In this review, we synthesize recent advances in the regulation of cell fate plasticity across development, reprogramming, and regeneration, highlighting how transcription factors, epigenetic modifications, transcriptional cofactors, and core transcription machinery cooperate to control cell fate decisions and plasticity.

Animals↗
PubMed2026

Pri micropeptide functions as a cell-intrinsic timer controlling the transient phase of cell fate induction.

During development, cells sequentially acquire specific fates through temporally ordered regulatory systems. To ensure the harmonious progression, each system must be activated and subsequently inactivated at the appropriate time. In this study, we show that the duration of fate induction is controlled by the transient expression of polished rice (pri), a gene encoding micropeptides, during Drosophila tracheal development. pri is transiently expressed in prospective tracheal placodes and precedes the expression of trachealess (trh), a master transcription factor that initiates tracheal fate. pri induces the expression of trh through promoting the disappearance of the repressor form of the transcriptional factor Shavenbaby (Svb). Conversely, after placode invagination, artificially prolonging pri expression or constitutive loss of Svb leads to ectopic maintenance of trh expression in noninvaginated placode cells surrounding the properly invaginated domain. These results indicate that the rapid disappearance of pri properly terminates the initial fate induction system and suggest that this termination ensures a smooth transition to the subsequent fate-regulatory program-that is, the maintenance of tracheal cell fate specifically in the invaginated cells. Together, we propose that the transiency of pri serves as a cell-intrinsic molecular timer that controls the transient phase of cell fate induction and ensures the transition between sequential fate-regulatory systems, thereby enabling the precise coordination of cell identity with morphogenesis during organogenesis.

Animals↗
PubMed2026

Metabolic atlas of early human cortex reveals glycolytic remodeling and pentose phosphate pathway control of cell fate transitions.

Cortical development involves rapid progenitor expansion and cell diversification supported by tightly regulated metabolic programs, yet these programs remain largely uncharacterized in human development. Here, we generated a metabolic atlas of the early human cortex using primary tissue and stem cell-derived cortical organoids. We observed dynamic changes in core metabolic functions, including an unexpected increase in glycolysis and pentose phosphate pathway (PPP) activity during late neurogenesis. Manipulation of glucose availability in cortical organoids altered cell-type composition, increasing outer radial glia (oRG) and inhibitory neuron populations. Pharmacological and genetic inhibition of PPP enzymes recapitulated these cell fate changes. Ribose was sufficient to rescue radial glia (RG) gene expression changes, revert organoid cell-type composition, and restore levels of ATP and hypotaurine. These data identify a critical role for the PPP in modulating RG cell fate specification and generate a resource for future exploration of additional metabolic pathways in human cortical development.

cell fate↗
PubMed2026

Mapping self-associating chromatin hubs identifies Id proteins as key determinants of exhausted CD8+ T cell fate.

Within days of exposure to chronic viral infections, activated CD8+ T cells differentiate into Tcf1-Slamf6loTim3hi exhaustion-prone effector T (TEX_EFF) cells or self-renewing Tcf1+Slamf6hiTim3lo precursor exhausted T (TPEX) cells. Here we showed that early CD8+ TEX cell fates were imprinted by forming subset-specific, self-associating chromatin hubs. Chromatin hub assembly coincided with effector or stemness gene induction and identified the transcription cofactors Id2 and Id3 as key regulators that promoted CD8+ TEX_EFF and CD8+ TPEX cell fates, respectively. Id2 drove CD8+ TEX_EFF cell specification by activating effector genes, while suppressing genes involved in exhaustion and stemness. In contrast, Id3-repressed effector genes but upregulated IL-7Rα and AhR, thereby maintaining the CD8+ TPEX cell pool. Mechanistically, Id2 and Id3 exhibited a distinct impact on the chromatin accessibility landscape in early CD8+ TEX cells by engaging Runx3 and Tcf1 transcription factors along with E proteins. These findings indicated that reshaping chromatin architecture represents a critical means for specifying CD8+ TEX cell fates and ensuring lineage stability.

Animals↗
PubMed2026

IRAK4 constrains cellular plasticity during chemically-induced cell fate reprogramming into multiple lineages.

Chemical reprogramming holds transformative potential for regenerative medicine. However, the regulatory mechanisms governing cell fate transitions are not well understood. Here, we identify Interleukin-1 Receptor-Associated Kinase 4 (IRAK4) as a barrier to multi-lineage reprogramming. Pharmacological inhibition of IRAK4 enhances the reprogramming of mouse embryonic fibroblasts (MEFs) through a chemically activated multi-lineage priming (CaMP) state and extraembryonic endoderm (XEN)-like intermediates, increasing colony formation, and the expression of core XEN regulators (Sox17, Gata4, Sall4, and Foxa2). Genetic knockdown of Irak4 similarly accelerates reprogramming, whereas its overexpression blocks cell fate transitions. IRAK4 inhibition enhances chromatin accessibility and reshapes cell cycle dynamics, characterized by G0/G1 shortening and G2/M lengthening, potentially contributing to multi-lineage state establishment. Furthermore, IRAK4 suppression enhances the direct conversion of MEFs to neuron-like and hepatocyte-like cells, which exhibit enhanced functional maturity, including increased glycogen storage and improved detoxification capacity. Our findings establish IRAK4 as a regulator that constrains cellular plasticity potentially by coordinating chromatin accessibility and cell cycle dynamics.

Animals↗
PubMed2012

The transcription factor GATA-3 controls cell fate and maintenance of type 2 innate lymphoid cells.

Innate lymphoid cells (ILCs) reside at mucosal surfaces and control immunity to intestinal infections. Type 2 innate lymphoid cells (ILC2s) produce cytokines such as IL-5 and IL-13, are required for immune defense against helminth infections, and are involved in the pathogenesis of airway hyperreactivity. Here, we have investigated the role of the transcription factor GATA-3 for ILC2 differentiation and maintenance. We showed that ILC2s and their lineage-specified bone marrow precursors (ILC2Ps), as identified here, were characterized by continuous high expression of GATA-3. Analysis of mice with temporary deletion of GATA-3 in all ILCs showed that GATA-3 was required for the differentiation and maintenance of ILC2s but not for RORγt(+) ILCs. Thus, our data demonstrate that GATA-3 is essential for ILC2 fate decisions and reveal similarities between the transcriptional programs controlling ILC and T helper cell fates.

Animals↗
PubMed2026

Engineering chromatin loops to control cell fate: LoopID reveals catalytic-independent functions of epigenetic regulators.

Enhancer-promoter (E-P) interactions are central to cell-type-specific transcriptional programs, yet the molecular machinery that establishes and maintains these loops has remained poorly defined. A recent study by Jiang et al, published in Nature Genetics, presents a series of transformative discoveries that redefine our understanding of E-P interactions and their role in gene regulation and cell fate determination. The research introduces LoopID, a chromatin-interaction-based proteomic platform that, for the first time, enables systematic identification of protein components, termed the "looposome," localized specifically at chromatin looping anchors. Using LoopID, they profile the "looposome" in mouse embryonic stem cells (ESCs) and uncover an unexpected, catalytic-independent role for the histone demethylase JMJD2 (KDM4) in organizing chromatin architecture through phase-separated condensates. Beyond mechanism, the study demonstrates that targeted assembly of JMJD2 condensates at defined genomic loci can engineer E-P interactions driving cellular reprogramming toward pluripotent and two-cell-like states. Together, these findings represent not only a major technical advance but also a conceptual leap-establish LoopID as a foundational technology for dissecting chromatin structure, introduce a new conceptual framework for epigenetic regulators as structural organizers, and provide a powerful strategy to manipulate cell fate by rewiring three-dimensional (3D) genome architecture.

Animals↗
PubMed2026

Matrix Metalloprotease 1 (Mmp1) promotes cell fate change for epithelial-to-epithelial transition during regeneration after radiation damage in Drosophila.

Ionizing radiation (IR) is used to treat cancer, but therapeutic failure occurs when surviving cancer cells change fate and regenerate tumors through acquired stem cell-like properties. While transcriptional mechanisms underlying cell fate plasticity have been characterized, the cellular processes enabling cell movement during tissue regeneration remain unclear. We reported previously that hinge cells of the Drosophila larval wing disc convert to pouch fate and translocate to help regenerate the pouch that suffers from more IR-induced apoptosis. We report here that IR increases the expression of extracellular proteins in the hinge, including secreted proteases and cell adhesion modulators. Functional validation using RNA interference revealed that secreted Matrix Metalloprotease 1 (Mmp1) and the related secreted protease homolog Scarface (Scaf) are required in hinge cells for IR-induced cell fate conversion and translocation. IR, we found, induces Mmp1 and scaf transcripts in hinge cells via cell-autonomous JNK signaling. Overexpression of Mmp1 specifically in the hinge was sufficient to elevate Mmp1 protein levels throughout the disc and induced cell fate change of both hinge and non-hinge cells but only in the context of irradiation. Confocal imaging in a time course demonstrated that cells undergoing fate conversion remain within the epithelial layer with little evidence for delamination or epithelial-mesenchymal transition (EMT). We propose that remodeling of the extracellular environment is a critical mechanism that enables cellular reorganization during tissue regeneration. Mmp enzymes are important for cancer biology because of their role in ECM remodeling, extracellular signaling, and EMT. Our findings demonstrate for the first time that Mmp1 is necessary and sufficient for one epithelial cell type to switch to another epithelial cell type after radiation damage. These results provide a mechanistic basis for radiation therapy-induced cell fate plasticity.

Animals↗
PubMed2026

Expression of cotton GhMYB109 complements non-hair cell fate in the root epidermis of the Arabidopsis thaliana werewolf mutant.

Root cell fate and patterning in plants are orchestrated by the expression of cell-type-specific genes, including WEREWOLF (WER). Phylogenetic analysis of WER, functional WER homologs in Type III species (Rhodiola rosea and Boehmeria nivea), and related R2R3 MYB proteins identified in the cotton genome revealed that GhMYB109-a known regulator of fiber development in cotton ovules-clustered in a clade with Arabidopsis thaliana WER. To determine whether GhMYB109 is a functional homolog of WER, we expressed GhMYB109 under the control of the CaMV 35S promoter in the Arabidopsis thaliana wer-1 mutant and analyzed root epidermal cell patterning by counting root hairs. GhMYB109 expression significantly decreased the percentage of root hairs at both H and N positions. We found that most epidermal cells in the cotton root develop into root hairs (Type I pattern) although the cotton genome contains a functional WER homolog, GhMYB109. Additionally, GhMYB109 has been reported not to be expressed in cotton roots. These support the idea that GhMYB109 is a functional homolog of WER and that Arabidopsis thaliana and cotton diverged in root epidermal morphology through modifications in cis-regulatory elements rather than a functional divergence of their WER-like R2R3 MYB transcription factors.

Arabidopsis thaliana↗
PubMed2026

Feeding the epigenome: EZH2 as a metabolic integrator of cell fate in development and cancer.

Epigenetic regulation is intimately linked to cellular metabolism, enabling environmental and nutritional cues to shape gene expression programs through dynamic modifications of chromatin structure. This metabolism-epigenetics interface is mediated, in part, by the dependence of chromatin-modifying enzymes on key metabolites, including S-adenosylmethionine (SAM), acetyl-CoA, UDP-GlcNAc, and α-ketoglutarate, which serve as substrates or cofactors for DNA and histone modifications. Among these regulators, EZH2, the catalytic subunit of Polycomb Repressive Complex 2 (PRC2), has emerged as a key mediator linking metabolic state to epigenetic regulation by translating metabolic inputs into changes in chromatin architecture and gene expression. EZH2 governs developmental cell fate through H3K27me3-mediated gene repression and is frequently dysregulated in cancer, where it promotes dedifferentiation, tumor progression, and metabolic reprogramming. Importantly, EZH2 activity is itself modulated by cellular metabolic status through posttranslational modifications, including phosphorylation, acetylation, methylation, ubiquitination, and O-GlcNAcylation, which influence its stability, catalytic activity, and chromatin-binding capacity. These modifications are responsive to nutrient availability and signaling pathways involving glucose, SAM, NAD+, and other metabolic intermediates. Consequently, disruption of this finely tuned regulatory network can contribute to developmental abnormalities, metabolic dysfunction, and oncogenesis. In this review, we examine the molecular mechanisms governing EZH2 regulation and discuss how metabolic control of EZH2 shapes chromatin dynamics, cell fate decisions, and disease pathogenesis. Elucidating how metabolic signals modulate EZH2 activity will advance our understanding of development and disease while uncovering potential therapeutic opportunities to target metabolism-driven epigenetic dysregulation.

Humans↗
PubMed2021

OCT2 pre-positioning facilitates cell fate transition and chromatin architecture changes in humoral immunity.

During the germinal center (GC) reaction, B cells undergo profound transcriptional, epigenetic and genomic architectural changes. How such changes are established remains unknown. Mapping chromatin accessibility during the humoral immune response, we show that OCT2 was the dominant transcription factor linked to differential accessibility of GC regulatory elements. Silent chromatin regions destined to become GC-specific super-enhancers (SEs) contained pre-positioned OCT2-binding sites in naive B cells (NBs). These preloaded SE 'seeds' featured spatial clustering of regulatory elements enriched in OCT2 DNA-binding motifs that became heavily loaded with OCT2 and its GC-specific coactivator OCAB in GC B cells (GCBs). SEs with high abundance of pre-positioned OCT2 binding preferentially formed long-range chromatin contacts in GCs, to support expression of GC-specifying factors. Gain in accessibility and architectural interactivity of these regions were dependent on recruitment of OCAB. Pre-positioning key regulators at SEs may represent a broadly used strategy for facilitating rapid cell fate transitions.

Animals↗
PubMed2026

Mirror worlds: The shared regulatory architecture of cell fate in development and cancer.

Lineage plasticity has emerged as a central mechanism through which cancer cells adapt to therapeutic pressure, evade immune surveillance, and acquire aggressive phenotypes. Although recognized across tumor types, the regulatory principles governing how cancer cells reprogram cellular identity remain incompletely understood. In this review, we propose that lineage plasticity in cancer reflects the redeployment of regulatory frameworks established during normal development. Rather than representing a stochastic byproduct of genomic instability, cancer plasticity frequently unfolds within gene regulatory architectures that also govern cell fate specification, lineage commitment, and controlled state transitions during embryogenesis and tissue homeostasis. Developmental transcription factors, including members of the SOX family, FOXA1, ASCL1, NKX2-1, and epithelial-mesenchymal transition regulators, function as lineage gatekeepers during development but are repurposed in cancer to destabilize lineage commitment and enable phenotypic switching. Similarly, epigenetic regulators that guide developmental trajectories, including chromatin remodeling complexes, Polycomb group proteins, and DNA methylation machinery, are frequently dysregulated or redistributed in tumors, altering the repression of lineage-stabilizing and alternative lineage programs and thereby weakening epigenetic barriers to lineage transitions. Together, these observations support a model in which development and cancer operate as mirror regulatory systems: one establishing and stabilizing cellular identity, the other exploiting the same regulatory architecture to permit adaptive reprogramming under selective pressure. We further discuss how emerging single-cell and spatial multi-omics technologies, integrated with artificial intelligence-based modeling, enable mapping of cell state landscapes and transitional trajectories, transforming lineage plasticity from a descriptive phenomenon into a measurable and predictable property of tumor evolution.

Humans↗
PubMed2026

Exhausted CD8+ T cell fate is programmed by dynamic CTCF-mediated enhancer activation and invariant CTCF-imposed barriers.

Exhausted CD8+ T (TEX) cells undergo extensive genome reorganization during differentiation, yet the drivers of this process remain elusive. Here we show that CTCF programmed CD8+ TEX cell fates through two distinct modes of action. CTCF acquired de novo binding sites and concordantly induced open chromatin in early CD8+ TEX cells responding to chronic viral infection. The dynamic CTCF binding activated enhancers and promoted chromatin looping. Consequently, genetic ablation of CTCF diminished chromatin accessibility and interaction strength, impairing CD8+ TEX cell proliferation, effector function and bioenergetic mobilization. Conversely, invariant CTCF binding acted as essential chromatin barriers, and loss of CTCF disrupted insulation and caused aberrant chromatin self-association and undue RNA polymerase II pausing, leading to excessive activation of exhaustion- and stemness-linked genes. Thus, CTCF balanced CD8+ TEX cell differentiation by gaining dynamic binding to induce cytotoxicity and sustain metabolic fitness, while its invariant binding compartmentalized exhaustion and stemness program genes to prevent their overexuberant activation.

CCCTC-Binding Factor↗
PubMed2026

Geometric mechanogenomics: engineering boundary conditions for deterministic cell fate control.

In tissue development and regeneration, cellular behavior has traditionally been interpreted through biochemical signaling frameworks. However, cells exist within physically defined environments, where geometric boundary conditions - including confinement, curvature, anisotropy, and multicellular architecture - define the mechanical state space in which mechanical forces are generated, transmitted, and interpreted. Here, we introduce geometric mechanogenomics, a conceptual framework that positions geometry as an upstream spatial regulator linking tissue-scale boundary conditions to nuclear mechanics, chromatin organization, and genome regulation. We propose a boundary-to-nucleus axis through which geometric information is decoded by adhesion-mediated mechanotransduction, cytoskeletal force transmission, and nuclear mechanoregulation to regulate chromatin accessibility, epigenetic remodeling, and transcriptional programs. Rather than introducing new mechanotransduction pathways, this framework emphasizes that geometry spatially organizes conserved mechanotransductive machinery to generate context-dependent mechanogenomic outcomes. We further discuss how engineered geometries reduce morphogenetic stochasticity, coordinate multicellular organization, and establish mechanical memory that influences long-term cell fate. Finally, we highlight current challenges in establishing predictive geometry-to-genome relationships and discuss emerging opportunities enabled by spatial omics, artificial intelligence-assisted inverse design, and dynamic biomaterials for programmable mechanobiology, regenerative medicine, developmental biology, and disease modeling.

genome organization↗