Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE79578 | GEO | 2017/10/23
SECONDARY ACCESSION(S): PRJNA316219
REPOSITORIES: GEO
Similar Datasets
Project description:This study was designed to investigate how the cell cycle phase impacts the kinetics of exit from pluripotency of mouse embryonic stem cells (mESC). mESC maintained in naïve medium conditions (2i) then sorted based on cell cycle phase before replating in self-renewing or differentiating media for 6hours, followed by single-cell RNA sequencing. Clustering of cells based on their expression of naive pluripotency genes indicate that cells that exit early in the cell cycle downregulate pluripotency genes faster than the bulk population. This study provides evidence that cell cycle phase is important in determining the timing of exit from pluripotency.
2020-09-13 | GSE141811 | GEO
Project description:During commitment of a multipotent stem or progenitor cell to a particular lineage, a large number of genes alter their expression in a coordinated manner orchestrated by the gene regulatory network (GRN). The constraints imposed by the GRN govern how cells move in the high-dimensional gene expression state space and can be understood as a dynamical system in which phenotypic cell states (cell types) are attractors that stabilize the cell-type characteristic gene expression pattern against molecular noise. Despite insights from various theoretical models, it remains elusive how multipotent cells, when committing to a specific lineage, exit their attractor and enter a new distinct attractor. Here we show, using single-cell resolution monitoring of transcript patterns by qPCR that commitment of multipotent blood progenitor cells to either the erythroid or the myeloid lineage is preceded by a destabilization of the progenitorsâ?? attractor state and a slowing-down of relaxation of cells from outlier states, indicating a critical state transition (â??tipping pointâ??). The high-dimensionality of the system (many genes) and availability of individual trajectories of a large ensemble of systems (many cells) affords a novel signature for critical transition which can be predicted from theory: Decrease of correlation between cells and concomitant increase of correlation between genes as the cell population approaches the tipping point. Consistent with a destabilizing bifurcation that simultaneously opens access to the erythroid and myeloid attractors, differentiation signal for either lineage caused some cells to commit to the â??wrongâ?? fate; moreover providing conflicting signals resulted in a delayed decision at the bifurcation point that however was ultimately resolved by commitment to one fate. These results suggest that the theoretical framework of â??early-warning signsâ?? and critical transitions can be applied to ensembles of high-dimensional systems, offering a formal tool for analyzing single-cell omics data beyond current descriptive computational pattern recognition. Mouse blood progenitor cells (EML cell line) was exposed to EPO, IL-3/GM-CSF or a mixture of both cytokines and gene expression change was measured in sorted subpopulations wrt Sca1 progenitor surface marker expression. In total, there was 4 conditions (including control), three time points (including d0) and 20 samples (10 samples in duplicates) were analyzed. Two independent experiments were performed for each condition. The untreated progenitor cell population was used as control.
2016-09-01 | E-GEOD-70405 | biostudies-arrayexpress
Project description:The BAF complex modulates chromatin accessibility. Specific BAF configurations have functional consequences, and subunit switches are essential for cell differentiation. ARID1B and its paralog ARID1A encode for mutually exclusive BAF subunits. De novo ARID1B haploinsufficient mutations cause a neurodevelopmental disorder spectrum, including Coffin-Siris syndrome, which is characterized by neurological and craniofacial features. Here, we reprogrammed ARID1B+/- Coffin-Siris patient-derived skin fibroblasts into iPSCs, and modeled cranial neural crest cell (CNCC) formation. We discovered that ARID1B is active only during the first stage of this process, coinciding with neuroectoderm specification, where it is part of a lineage-specific BAF configuration (ARID1B-BAF), including SMARCA4, and nine additional subunits. ARID1B-BAF acts as a gate-keeper, ensuring exit from pluripotency and lineage commitment, by attenuating NANOG, SOX2 and the thousands of enhancers directly regulated by these two pluripotency factors at the iPSC stage. In iPSCs, these enhancers are maintained active by an ARID1A-containing BAF. At the onset of differentiation, cells transition from ARID1A-BAF to ARID1B-BAF, eliciting attenuation of the NANOG/SOX2 networks, and triggering pluripotency exit. Coffin-Siris patient cells fail to perform the ARID1A/ARID1B switch, and maintain ARID1A-BAF at pluripotency enhancers throughout all stages of CNCC formation. This leads to a persistent and aberrant SOX2 and NANOG activity, which impairs CNCC formation. In fact, despite showing the typical neural crest signature (TFAP2A+, SOX9+), the ARID1B-haploinsufficient CNCCs are also NANOG-positive, in stark contrast with the ARID1B-wt CNCCs, which are NANOG-negative. These findings suggest a connection between ARID1B mutations, neuroectoderm formation, and a pathogenic mechanism for Coffin-Siris syndrome.
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Project description:During commitment of a multipotent stem or progenitor cell to a particular lineage, a large number of genes alter their expression in a coordinated manner orchestrated by the gene regulatory network (GRN). The constraints imposed by the GRN govern how cells move in the high-dimensional gene expression state space and can be understood as a dynamical system in which phenotypic cell states (cell types) are attractors that stabilize the cell-type characteristic gene expression pattern against molecular noise. Despite insights from various theoretical models, it remains elusive how multipotent cells, when committing to a specific lineage, exit their attractor and enter a new distinct attractor. Here we show, using single-cell resolution monitoring of transcript patterns by qPCR that commitment of multipotent blood progenitor cells to either the erythroid or the myeloid lineage is preceded by a destabilization of the progenitors’ attractor state and a slowing-down of relaxation of cells from outlier states, indicating a critical state transition (“tipping point”). The high-dimensionality of the system (many genes) and availability of individual trajectories of a large ensemble of systems (many cells) affords a novel signature for critical transition which can be predicted from theory: Decrease of correlation between cells and concomitant increase of correlation between genes as the cell population approaches the tipping point. Consistent with a destabilizing bifurcation that simultaneously opens access to the erythroid and myeloid attractors, differentiation signal for either lineage caused some cells to commit to the “wrong” fate; moreover providing conflicting signals resulted in a delayed decision at the bifurcation point that however was ultimately resolved by commitment to one fate. These results suggest that the theoretical framework of “early-warning signs” and critical transitions can be applied to ensembles of high-dimensional systems, offering a formal tool for analyzing single-cell omics data beyond current descriptive computational pattern recognition.
2016-09-01 | GSE70405 | GEO
Project description:Understanding how cellular function is imprinted during development requires the identification of factors controlling lineage specification and commitment, and the intermediate progenitors in which they act. Using population level and single cell approaches, we examine transcriptional and functional heterogeneity within early innate lymphoid cells (ILC) progenitors. We identify a developmental bifurcation toward dendritic cell fate that reveals the uncommitted state of early specified ILC progenitors. We subsequently characterize an ILC-commitment checkpoint controlled by the transcription factor TCF-1. The present study reveals unexpected heterogeneity within early innate progenitor populations, and characterizes lineage infidelity that accompanies early ILC specification prior to commitment.
2019-04-22 | GSE113766 | GEO
Project description:Understanding how cellular function is imprinted during development requires the identification of factors controlling lineage specification and commitment, and the intermediate progenitors in which they act. Using population level and single cell approaches, we examine transcriptional and functional heterogeneity within early innate lymphoid cells (ILC) progenitors. We identify a developmental bifurcation toward dendritic cell fate that reveals the uncommitted state of early specified ILC progenitors. We subsequently characterize an ILC-commitment checkpoint controlled by the transcription factor TCF-1. The present study reveals unexpected heterogeneity within early innate progenitor populations, and characterizes lineage infidelity that accompanies early ILC specification prior to commitment.
2019-04-22 | GSE113765 | GEO
Project description:Managing tradeoffs through gene regulation is believed to be critical for the success of a generalist in a fluctuating resource environment. To investigate this hypothesis in depth, we imposed a fluctuating environment that required a representative community of the sulfate-reducing generalist Desulfovibrio vulgaris to manage tradeoffs associated with repeated ecologically-relevant shifts between retaining metabolic independence (active capacity for sulfate respiration) and becoming metabolically specialized to a mutualistic association with the hydrogen consuming Methanococcus maripaludis. Counterintuitively, the community rapidly collapsed and went extinct because extensive gene regulation during shifts drove precipitous decline in intracellular abundance of essential transcripts and proteins. We demonstrate that extensive gene regulation can be catastrophic for a generalist when resources fluctuate rapidly, and that the extinction phenomenon can be prevented by a single regulatory mutation that could then potentially serve as a stepping stone for further adaptive evolution in a variable resource environment. Two strains were profiled at early and mid-log phase of growth during Sulfate Respiration and Syntrophy, and after transition between them. 2 biological replicates, 24 samples
2015-09-17 | E-GEOD-73105 | biostudies-arrayexpress
Project description:Liquid-liquid phase separation has drawn great attention as a physical process that mediates the formation of membraneless organelles in cells to coordinate biological reactions in space and time. Previously, it was proposed that the formation of phase-separated droplets is a unique property of HP1α. Here, we show that HP1β, but not HP1α and HP1ɤ, forms nucleosome dependent phase separated droplets. We demonstrate that H3K9me3 is required for HP1β dependent phase separation. Importantly, HP1β dependent phase separation regulates heterochromatin formation, thus controlling embryonic stem cells differentiation. In response to pluripotency exit, HP1β is phosphorylated at serine 89 recruiting KAP1, a pluripotency regulator, and sequestering it in the heterochromatin compartment. This induces changes in the level of pluripotency factors and triggers pluripotency exit. We propose that such a trapping mechanism creates a fast and dynamic mode of remote control of gene expression to regulate cell fate decisions solely based on membraneless organelles.
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Project description:Chickarmane2008 - Stem cell lineage - NANOG GATA-6 switch
In this work, a dynamical model of lineage
determination based upon a minimal circuit, as discussed in PMID: 17215298
, which contains the Oct4/Sox2/Nanog core as well its interaction
with a few other key genes is discussed.
This model is described in the article:
A computational model for understanding stem cell, trophectoderm and endoderm lineage determination.
Chickarmane V, Peterson C
PloS one. 2008, 3(10):e3478
Abstract:
BACKGROUND: Recent studies have associated the transcription factors, Oct4, Sox2 and Nanog as parts of a self-regulating network which is responsible for maintaining embryonic stem cell properties: self renewal and pluripotency. In addition, mutual antagonism between two of these and other master regulators have been shown to regulate lineage determination. In particular, an excess of Cdx2 over Oct4 determines the trophectoderm lineage whereas an excess of Gata-6 over Nanog determines differentiation into the endoderm lineage. Also, under/over-expression studies of the master regulator Oct4 have revealed that some self-renewal/pluripotency as well as differentiation genes are expressed in a biphasic manner with respect to the concentration of Oct4. METHODOLOGY/
PRINCIPAL FINDINGS: We construct a dynamical model of a minimalistic network, extracted from ChIP-on-chip and microarray data as well as literature studies. The model is based upon differential equations and makes two plausible assumptions; activation of Gata-6 by Oct4 and repression of Nanog by an Oct4-Gata-6 heterodimer. With these assumptions, the results of simulations successfully describe the biphasic behavior as well as lineage commitment. The model also predicts that reprogramming the network from a differentiated state, in particular the endoderm state, into a stem cell state, is best achieved by over-expressing Nanog, rather than by suppression of differentiation genes such as Gata-6.
CONCLUSIONS: The computational model provides a mechanistic understanding of how different lineages arise from the dynamics of the underlying regulatory network. It provides a framework to explore strategies of reprogramming a cell from a differentiated state to a stem cell state through directed perturbations. Such an approach is highly relevant to regenerative medicine since it allows for a rapid search over the host of possibilities for reprogramming to a stem cell state.
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2024-09-02 | BIOMD0000000210 | BioModels