Defining reprogramming checkpoints from single cell analysis of induced pluripotency
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ABSTRACT:
PROVIDER: PRJNA422868 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8547730.fastq.gz | Fastqsanger.gz | |||
| SRR8547740.fastq.gz | Fastqsanger.gz | |||
| SRR8547750.fastq.gz | Fastqsanger.gz | |||
| SRR8547731_1.fastq.gz | Fastqsanger.gz | |||
| SRR8547731_2.fastq.gz | Fastqsanger.gz |
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Project description:Elucidating the mechanism of reprogramming is confounded by heterogeneity due to the low efficiency and differential kinetics of obtaining induced pluripotent stem cells (iPSCs) from somatic cells. Therefore we increased the efficiency with a novel combination of epigenetic and signaling molecules and profiled the transcriptomes of individual reprogramming cells. Contrary to the established temporal order, somatic gene inactivation and upregulation of cell cycle, epithelial and early pluripotency genes can be triggered independently such that any combination of these events co-occurs in single cells. Sustained pluripotency requires the co-expression of Nanog, Oct4 and Sox2 with specific cohorts of genes. We uncover functional roles for Ehf, Phlda2, and translation initiation factor Eif4a1 for robust iPSC generation. Using regulatory network analysis we identify a critical role for signaling inhibition by 2i in repressing somatic expression, and synergy between the epigenetic modifiers ascorbic acid and a Dot1L inhibitor for pluripotency gene activation.
2019-04-20 | GSE108222 | GEO
Project description:Elucidating the mechanism of reprogramming is confounded by heterogeneity due to the low efficiency and differential kinetics of obtaining induced pluripotent stem cells (iPSCs) from somatic cells. Therefore, we increased the efficiency with a combination of epigenomic modifiers and signaling molecules and profiled the transcriptomes of individual reprogramming cells. Contrary to the established temporal order, somatic gene inactivation and upregulation of cell cycle, epithelial, and early pluripotency genes can be triggered independently such that any combination of these events can occur in single cells. Sustained co-expression of Epcam, Nanog, and Sox2 with other genes is required to progress toward iPSCs. Ehf, Phlda2, and translation initiation factor Eif4a1 play functional roles in robust iPSC generation. Using regulatory network analysis, we identify a critical role for signaling inhibition by 2i in repressing somatic expression and synergy between the epigenomic modifiers ascorbic acid and a Dot1L inhibitor for pluripotency gene activation.
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Project description:Defining how human pluripotent cell identity is controlled and in particular how naïve pluripotency is acquired during cell reprogramming is crucial for the future applications of pluripotent stem cells. However, the regulatory pathways of naïve cell reprogramming remain incompletely understood. Here, we used genome-wide CRISPR-Cas9 screening to identify novel regulators of primed to naïve pluripotent stem cell reprogramming, including genes that are essential for reprogramming and genes that normally impede reprogramming and whose targeted deletion led to enhanced reprogramming. Integrated analysis defined specific chromatin complexes and signalling pathways as critical regulators of naïve reprogramming, and were largely distinct from regulators of somatic cell reprogramming. Mechanistically, PRC1.3 and PRDM14 are jointly required to transcriptionally repress developmental and gene regulatory factors to ensure naïve cell reprogramming. Additionally, small molecule inhibitors of reprogramming impediments increased the efficiency of naïve cell reprogramming, and are of practical benefit that can improve on current reprogramming methods. Taken together, we have identified novel regulators controlling the establishment of naïve pluripotency in human cells, which will open up new ways to exploit the full potential of pluripotent stem cells. These results also provide new insights into mechanisms that destabilise and reconfigure cell identity during cell state transitions.
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Project description:Quality of reprogramming to induced pluripotency as a function of reprogramming method
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Project description:Recent reports have proposed a new paradigm for obtaining mature somatic cell types from fibroblasts without going through a pluripotent state, by briefly expressing canonical iPSC reprogramming factors Oct4, Sox2, Klf4 and c-Myc (abbreviated as OSKM), in cells expanded in lineage differentiation promoting conditions. Here we apply genetic lineage tracing for endogenous Nanog, Oct4 and X chromosome reactivation during OSKM induced trans-differentiation, as these molecular events mark final stages for acquisition of induced pluripotency. Remarkably, the vast majority of reprogrammed cardiomyocytes or neural stem cells derived from mouse fibroblasts via OSKM mediated trans-differentiation were attained after transient acquisition of pluripotency, and followed by rapid differentiation. Our findings underscore a molecular and functional coupling between inducing pluripotency and obtaining “trans-differentiated” somatic cells via OSKM induction, and have implications on defining molecular trajectories assumed during different cell reprogramming methods. poly RNA-Seq was measured before, during and after conversion of mouse embryonic fibroblasts to neural stem cells using OSKM trans-differentiation method.
2015-04-30 | E-GEOD-67265 | biostudies-arrayexpress
Project description:Recent reports have proposed a new paradigm for obtaining mature somatic cell types from fibroblasts without going through a pluripotent state, by briefly expressing canonical iPSC reprogramming factors Oct4, Sox2, Klf4 and c-Myc (abbreviated as OSKM), in cells expanded in lineage differentiation promoting conditions. Here we apply genetic lineage tracing for endogenous Nanog, Oct4 and X chromosome reactivation during OSKM induced trans-differentiation, as these molecular events mark final stages for acquisition of induced pluripotency. Remarkably, the vast majority of reprogrammed cardiomyocytes or neural stem cells derived from mouse fibroblasts via OSKM mediated trans-differentiation were attained after transient acquisition of pluripotency, and followed by rapid differentiation. Our findings underscore a molecular and functional coupling between inducing pluripotency and obtaining “trans-differentiated” somatic cells via OSKM induction, and have implications on defining molecular trajectories assumed during different cell reprogramming methods. WGBS (Whole-Genome-Bisulfite-sequencing) were measured during conversion of mouse embryonic fibroblasts to neural stem cells using OSKM trans-differentiation method, as well as in mouse emrbyonic fibroblasts, and mouse ESCs.
2015-05-07 | E-GEOD-68601 | biostudies-arrayexpress
Project description:Recent reports have proposed a new paradigm for obtaining mature somatic cell types from fibroblasts without going through a pluripotent state, by briefly expressing canonical iPSC reprogramming factors Oct4, Sox2, Klf4 and c-Myc (abbreviated as OSKM), in cells expanded in lineage differentiation promoting conditions. Here we apply genetic lineage tracing for endogenous Nanog, Oct4 and X chromosome reactivation during OSKM induced trans-differentiation, as these molecular events mark final stages for acquisition of induced pluripotency. Remarkably, the vast majority of reprogrammed cardiomyocytes or neural stem cells derived from mouse fibroblasts via OSKM mediated trans-differentiation were attained after transient acquisition of pluripotency, and followed by rapid differentiation. Our findings underscore a molecular and functional coupling between inducing pluripotency and obtaining “trans-differentiated” somatic cells via OSKM induction, and have implications on defining molecular trajectories assumed during different cell reprogramming methods. poly RNA-Seq and Chromatin accesibility (ATAC-seq) were measured during conversion of mouse embryonic fibroblasts to neural stem cells using OSKM trans-differentiation method, as well as in mouse emrbyonic fibroblasts, iPSCs and mouse ESCs.
2015-04-30 | E-GEOD-67298 | biostudies-arrayexpress
Project description:Defining how human pluripotent cell identity is controlled and in particular how naïve pluripotency is acquired during cell reprogramming is crucial for the future applications of pluripotent stem cells. However, the regulatory pathways of naïve cell reprogramming remain incompletely understood. Here, we used genome-wide CRISPR-Cas9 screening to identify novel regulators of primed to naïve pluripotent stem cell reprogramming, including genes that are essential for reprogramming and genes that impede reprogramming and whose targeted deletion led to enhanced reprogramming. Integrated analysis defined specific chromatin complexes and signalling pathways as critical regulators of naïve reprogramming, and were largely distinct from regulators of somatic cell reprogramming. Mechanistically, PRC1.3 and PRDM14 are jointly required to transcriptionally repress developmental and gene regulatory factors to ensure naïve cell reprogramming. Additionally, small molecule inhibitors of reprogramming impediments increased the efficiency of naïve cell reprogramming, and are of practical benefit that can improve on current reprogramming methods. Taken together, we have identified novel regulators controlling the establishment of naïve pluripotency in human cells, which will open up new ways to exploit the full potential of pluripotent stem cells. These results also provide new insights into mechanisms that destabilise and reconfigure cell identity during cell state transitions.
2022-03-25 | GSE164786 | GEO
Project description:Factor-induced reprogramming of somatic cells into induced pluripotent stem cells (iPSCs) is inefficient, complicating mechanistic studies. Here, we examined defined intermediate cell populations poised to becoming iPSCs by genome-wide analyses. We show that induced pluripotency elicits two transcriptional waves, which are driven by c-Myc/Klf4 (first wave) and Oct4/Sox2/Klf4 (second wave). Cells that become refractory to reprogramming activate the first but fail to initiate the second transcriptional wave and can be rescued by elevated expression of all four factors. The establishment of bivalent domains occurs gradually after the first wave, whereas changes in DNA methylation take place after the second wave when cells acquire stable pluripotency. This integrative analysis allowed us to identify genes that act as roadblocks during reprogramming and surface markers that further enrich for cells prone to forming iPSCs. Collectively, our data offer new mechanistic insights into the nature and sequence of molecular events inherent to cellular reprogramming. DNA methylation profiles obtained at different timepoints during reprogramming of somatic cells: Day 0, +3, +6, +9 and iPSC
2013-03-18 | E-GEOD-45248 | biostudies-arrayexpress
Project description:Several Sox family members, small molecules, and inhibitors of the TGF-β pathway can replace exogenous Sox2 during the generation of induced pluripotent stem cells (iPSCs), suggesting that SOX2 is dispensable for initiation of reprogramming. However, the time point at which the endogenous Sox2 locus is activated in these conditions was not thoroughly evaluated. To identify the Sox2-independent reprogramming steps, we excluded Sox2 from the reprogramming cocktail and used Sox2-deficient mouse embryonic fibroblasts. We show that reprogramming is initiated in the absence of SOX2 as shown by formation of pre-iPSC colonies that have undergone a mesenchymal-to-epithelial transition and that have activated early reprogramming markers. However, these iPSC-like intermediates cannot progress through the final stabilization phase of reprogramming in the absence of SOX2. Overall, our results provide a better understanding of the molecular events underlying the induction of pluripotency and of the role that SOX2 plays in the process. Both pLV-tetO-E1A-2A-Cherry and pLV-tetO-Cherry lentiviral constructs were cloned in house and defective-lentiviral particles were produced as previously described (Han et al. 2013). Next, 5x10 4 ESCs containing a tetracycline-inducible transactivator (irtTA-VP16-GBD, Anastassiadis et al. 2002) plus an Oct4-GFP reporter transgene (Yoshimizu et al. 1999) were transduced twice using 20 µl of replication-defective lentiviral particles plus polybrene (4 µg/ml, Sigma). Cells were washed 24 h after transduction and subsequently induced with doxycycline (1 µg/ml, Sigma) and dexamethasone (10-7 M, Sigma). Samples were harvested at several time-points, 0, 3, 6, 9, 12, 24, and 48 hours after induction, and used for microarray analysis as previously reported (Tapia et al. 2012). Cells transduced with pLV-tetO-Cherry and induced for 48 h were used as control. RNA wasprocessed using the RNeasy micro and mini kits with on-column DNase digestion of QIAGEN as per the manufacturer’s instructions. Integrity of RNA samples was quality checked using a 2100 Bioanalyzer (Agilent). When possible, 300 ng of total RNA per sample was used as starting material for linear amplification (Illumina TotalPrep RNA Amplification Kit, Ambion), which involved synthesis of T7-linked double-stranded cDNA and 14 hr of in-vitro transcription incorporating biotin-labeled nucleotides. Purified and labeled cRNA was then quality checked on a 2100 Bioanalyser and hybridized as biological or technical duplicates for 18 hr onto MouseRef-8 v2 gene expression BeadChips (Illumina), following the manufacturer's instructions. After being washed, the chips were stained with streptavidin-Cy3 (GE Healthcare) and scanned using an iScan reader and accompanying software. Bead intensities were mapped to gene information using BeadStudio 3.2 (Illumina). Background correction was performed using the Affymetrix Robust Multi-array Analysis (RMA) background correction model. Variance stabilization was performed using log2 scaling, and gene expression normalization was calculated with the quantile method implemented in the lumi package of R-Bioconductor. Data post-processing and graphics were performed with in-house developed functions in Matlab.
2023-06-22 | GSE59372 | GEO