An orthologous epigenetic gene expression signature derived from differentiating embryonic stem cells identifies regulators of cardiogenesis
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE69618 | GEO | 2015/06/06
SECONDARY ACCESSION(S): PRJNA285991
REPOSITORIES: GEO
Similar Datasets
Project description:We report a time course of RNA-seq data from wild-type embryonic stem cells and embryonic stem cells in which the cardiogenic transcription factors ZNF503, ZEB2 and NKX2-5 are depleted with shRNAs differentiating along the cardiac lineage. Biological replicates of RNA-seq data from embryonic stem cells differentiating along the cardiac lineage.
2015-06-06 | E-GEOD-69618 | biostudies-arrayexpress
Project description: Not available
| S-EPMC4617299 | biostudies-literature
Project description:Rationale: Cardiac development is a complex process that results in the first integrated, multi-lineage embryonic tissue. Imperfect developmental progression leads to congenital heart disease, the most common birth defect with developmental corruption affecting more than 1% of all live births. Interrogation of individual genes has provided the backbone for cardiac developmental biology, yet a comprehensive transcriptome derived from natural cardiogenesis is required to establish an unbiased roadmap to gauge innate developmental milestones necessary for stem cell-based differentiation and in vitro disease modeling. Objective: Establish a contextual expression database of spatial-temporal cardiac structures, and validate a predictive tool to diagnose and predict cardiogenic outcomes from individual pluripotent stem cell lines. Methods and Results: Stage-specific cardiac structures were dissected from eight distinctive embryonic time points to produce a genome-wide expressome analysis across the spectrum of early to late cardiogenesis. Hierarchical clustering of the time course dataset demonstrated discrete gene expression profiles during natural embryonic development. In reference to the native cardiogenic expression roadmap, disruptive iPSC-derived cardiac expression profiles were revealed from pro-cardiogenic 3-factor (SOX2, OCT4, KLF4) compared to non-cardiogenic 4-factor (addition of c-MYC) reprogramming regimens upon stage-specific differentiation. Expression of cardiac-related genes from 3F-iPSC differentiated in vitro at day 0, 5, and 11 recapitulated expression of natural embryos at days 0, E7.5-E8.5, and E14.5-E18.5, respectively. In contrast, 4F-iPSC demonstrated variable gastrulation gene expression profiles beginning at day 5 of differentiation. Differential gene expression within the pluripotent ground state between the archetypical high cardiogenic potential of embryonic stem cells recapitulated in 3F-iPSC vs. the low cardiogenic potential of 4F-iPSC revealed 23 distinguishing candidate genes. Upon subsequent differentiation, cell line-specific gene expression differences were magnified to 399 genes at day 5 and 726 genes at day 11. A confirmed panel of 20 genes, differentially expressed between high and low cardiogenic cell lines, was transformed into a predictive score that was sufficient to correctly rank independent iPSC lines according to cardiogenic potential. Conclusions: Transcriptome analysis attuned to the embryonic developing heart provides a robust platform to probe coordinated cardiac specification and maturation from stem cell-based cardiogenesis model systems. Based on this genome-wide expressome roadmap, a panel of pre-cardiac genes was extracted that allowed differential prognosis of cardiogenic competency from individual reprogrammed cell lines at the pluripotent state. The overall experimental design includes 3 time points (Day0, Day5, Day11) and 3 different stem cell lines: R1 embryonic stem cells (ESCs), H9 induced pluripotent stem cells (H9-iPSCs) generated/reprogrammed by 3 transcription factors (called 3F-iPSCs), and 19BL induced pluripotent stem cells (19BL-iPSCs) generated/reprogrammed by 4 transcription factors (called 4F-iPSC). At each time point, each cell line has 3 biological replicates. In total, there are 27 samples. R1-embryonic stem cells (R1-ESCs): Day0 undifferentiated ESCs - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates. 3F-iPSC (H9 iPSCs): Day 0 undifferentiated - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates. 4F-iPSC (19BL-iPSCs): Day0 undifferentiated - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates.
2013-09-23 | E-GEOD-43197 | biostudies-arrayexpress
Project description:Mammalian heart development is built on highly conserved molecular mechanisms with polygenetic perturbations resulting in a spectrum of congenital heart diseases (CHD). However, the transcriptional landscape of cardiogenic ontogeny that regulates proper cardiogenesis remains largely based on candidate-gene approaches. Herein, we designed a time-course transcriptome analysis to investigate the genome-wide expression profile of innate murine cardiogenesis ranging from embryonic stem cells to adult cardiac structures. This comprehensive analysis generated temporal and spatial expression profiles, prioritized stage-specific gene functions, and mapped the dynamic transcriptome of cardiogenesis to curated pathways. Reconciling the bioinformatics of the congenital heart disease interactome, we deconstructed disease-centric regulatory networks encoded within this cardiogenic atlas to reveal stage-specific developmental disturbances clustered on epithelial-to-mesenchymal transition (EMT), BMP regulation, NF-AT signaling, TGFb-dependent induction, and Notch signaling. Therefore, this cardiogenic transcriptional landscape defines the time-dependent expression of cardiac ontogeny and prioritizes regulatory networks at the interface between health and disease. To interrogate the temporal and spatial expression profiles across the entire genome during mammalian heart development, we designed a time-course microarray experiment using the mouse model at defined stages of cardiogenesis, starting with embryonic stem cells (ESC, R1 stem cell line), early embryonic developmental stages: E7.5 whole embryos, E8.5 heart tubes, left and right ventricle tissues at E9.5, E12.5, E14.5, E18.5 to 3 days after birth (D3) and adult heart (Figure 1A). At each time point, microarray experiments were performed on triplicate biological samples. Starting at E9.5, tissue samples from left ventricles (LV) and right ventricles (RV) were microdissected for RNA purification and microarray analysis to determine spatially differential gene expression between LV and RV during heart development.
2014-05-19 | E-GEOD-51483 | biostudies-arrayexpress
Project description:Rationale: Cardiac development is a complex process that results in the first integrated, multi-lineage embryonic tissue. Imperfect developmental progression leads to congenital heart disease, the most common birth defect with developmental corruption affecting more than 1% of all live births. Interrogation of individual genes has provided the backbone for cardiac developmental biology, yet a comprehensive transcriptome derived from natural cardiogenesis is required to establish an unbiased roadmap to gauge innate developmental milestones necessary for stem cell-based differentiation and in vitro disease modeling. Objective: Apply the contextual expression database of spatial-temporal cardiac structures (published in another manuscript by Li X. from the same group) to diagnose and predict cardiogenic outcomes from individual pluripotent stem cell lines. Methods and Results: Stage-specific cardiac structures were dissected from eight distinctive embryonic time points to produce a genome-wide expressome analysis across the spectrum of early to late cardiogenesis. Hierarchical clustering of the time course dataset demonstrated discrete gene expression profiles during natural embryonic development. In reference to the native cardiogenic expression roadmap, disruptive iPSC-derived cardiac expression profiles were revealed from pro-cardiogenic 3-factor (SOX2, OCT4, KLF4) compared to non-cardiogenic 4-factor (addition of c-MYC) reprogramming regimens upon stage-specific differentiation. Expression of cardiac-related genes from 3F-iPSC differentiated in vitro at day 0, 5, and 11 recapitulated expression of natural embryos at days 0, E7.5-E8.5, and E14.5-E18.5, respectively. In contrast, 4F-iPSC demonstrated variable gastrulation gene expression profiles beginning at day 5 of differentiation. Differential gene expression within the pluripotent ground state between the archetypical high cardiogenic potential of embryonic stem cells recapitulated in 3F-iPSC vs. the low cardiogenic potential of 4F-iPSC revealed 23 distinguishing candidate genes. Upon subsequent differentiation, cell line-specific gene expression differences were magnified to 399 genes at day 5 and 726 genes at day 11. A confirmed panel of 20 genes, differentially expressed between high and low cardiogenic cell lines, was transformed into a predictive score that was sufficient to correctly rank independent iPSC lines according to cardiogenic potential. Conclusions: Transcriptome analysis attuned to the embryonic developing heart provides a robust platform to probe coordinated cardiac specification and maturation from stem cell-based cardiogenesis model systems. Based on this genome-wide expressome roadmap, a panel of pre-cardiac genes was extracted that allowed differential prognosis of cardiogenic competency from individual reprogrammed cell lines at the pluripotent state.
2013-09-23 | GSE43197 | GEO
Project description:In the developing heart, heterotypic transcription factors (TFs) interactions, such as between the T-box TF TBX5 and the homeodomain TF NKX2-5 have been proposed as a mechanism for human congenital heart disease. In order to study the role of each TF during heart formation, embryonic stem (ES) cell-derived embryos were generated from KO ES cells for Tbx5, Nkx2-5 or both TFs. We used microarrays to identify changes in the gene expression due to the lack of Tbx5, Nkx2-5 or both TFs during early heart formation. WT, Nkx2-5KO (NKO), Tbx5KO (TKO) and Tbx5KO;Nkx2-5KO (DKO) E8.75 mouse hearts were microdissected for RNA extraction and hybridization on Affymetrix microarrays.
2016-02-11 | E-GEOD-77576 | biostudies-arrayexpress
Project description:The multi-domain transcription factor ZEB2 controls embryonic and adult cell fate decisions and maturation in many stem/progenitor cell types. Defects in these processes in specific cell types underlie Mowat-Wilson syndrome (MOWS), which is caused by ZEB2 haplo-insufficiency. Human ZEB2, like mouse Zeb2, is located on chromosome 2 downstream of an approximately 3.5 Mb-long gene-desert, lacking any protein-coding gene sequence. Using temporal high-resolution Targeted Chromatin Capture (T2C), we show major chromatin structural changes based on mapping in-cis proximities between the ZEB2 gene promoter and this gene desert during neural differentiation of induced pluripotent cells (iPSCs), including at early neuroprogenitor cell (NPC)/rosette state, where ZEB2 mRNA levels increase significantly. Combining T2C with histone-3 acetylation mapping, we identified three novel candidate enhancers about 500 kb upstream of the ZEB2 transcription start site (TSS). Functional luciferase-based assays in heterologous cells and NPCs reveal co-operation between these three enhancers. This study is the first to document in-cis regulatory elements (REs) located in ZEB2’s gene desert. The results further show the usability of T2C for future studies of ZEB2 REs in differentiation and maturation of relevant cell types, and the molecular characterization of identified MOWS patients that lack mutations in ZEB2 protein-coding exons.
2020-08-03 | GSE147000 | GEO
Project description:In the developing heart, heterotypic transcription factors (TFs) interactions, such as between the T-box TF TBX5 and the homeodomain TF NKX2-5 have been proposed as a mechanism for human congenital heart disease. In order to study the role of each TF during heart formation, embryonic stem (ES) cell-derived embryos were generated from KO ES cells for Tbx5, Nkx2-5 or both TFs. We used microarrays to identify changes in the gene expression due to the lack of Tbx5, Nkx2-5 or both TFs during early heart formation.
2016-02-11 | GSE77576 | GEO
Project description:Mammalian heart development is built on highly conserved molecular mechanisms with polygenetic perturbations resulting in a spectrum of congenital heart diseases (CHD). However, the transcriptional landscape of cardiogenic ontogeny that regulates proper cardiogenesis remains largely based on candidate-gene approaches. Herein, we designed a time-course transcriptome analysis to investigate the genome-wide expression profile of innate murine cardiogenesis ranging from embryonic stem cells to adult cardiac structures. This comprehensive analysis generated temporal and spatial expression profiles, prioritized stage-specific gene functions, and mapped the dynamic transcriptome of cardiogenesis to curated pathways. Reconciling the bioinformatics of the congenital heart disease interactome, we deconstructed disease-centric regulatory networks encoded within this cardiogenic atlas to reveal stage-specific developmental disturbances clustered on epithelial-to-mesenchymal transition (EMT), BMP regulation, NF-AT signaling, TGFb-dependent induction, and Notch signaling. Therefore, this cardiogenic transcriptional landscape defines the time-dependent expression of cardiac ontogeny and prioritizes regulatory networks at the interface between health and disease.
2014-05-19 | GSE51483 | GEO
Project description:Various substances have been reported to enhance the cardiac differentiation of embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs). Ascorbic Acid had a cardiogenic effect in mESC CGR8 cell line. Transcriptome of AA-treated CGR8 ESCs did not reveal any significant changes in gene expression as compared to untreated cells. We performed a global gene expression analysis to better understand the mechanism of Ascorbic acid-induced cardiac differentiation.
2015-05-21 | GSE54242 | GEO