Transcriptomic Atlas of Embryonic Human Heart Development
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE138799 | GEO | 2020/07/29
REPOSITORIES: GEO
Similar Datasets
Project description:Chromatin State Profilining using multiple histone modifications in human embryonic heart tissue spanning 4 post conception weeks (pcw) to 8 pcw
2020-07-29 | GSE137731 | GEO
Project description:A majority of craniofacial development occurs early in pregnancy and to fully understand how craniofacial defects arise, it is essential to observe gene expression during this critical time period. To address this, we performed bulk and single-cell RNA-seq on human craniofacial tissue from embryonic development -4 to 8 weeks post conception. To observe how genes are organized in this system, we have constructed co-expression networks from the bulk RNA-seq. Strong disease candidates are likely genes that are co-expressed with many other genes, serving as regulatory hubs within these networks. We have identified 29 modules of co-expressed genes and ~1800 hub genes and found enrichment of craniofacial relevant biology suggesting that these networks could reveal new disease genes and potential targets of previously identified disease genes. We leveraged large functional genomics databases including GTEx and GnomAD to reveal genes that are specifically expressed in craniofacial tissue. We integrate these data with our co-expression networks in order to prioritize the genes in this study. Our analysis revealed 268 novel or underappreciated disease candidate genes.
2023-06-26 | GSE197513 | GEO
Project description:The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets (745 samples, from over 100 separate studies) derived from human primary cells and analysed on the Affymetrix U133plus2.0 array. Using the network analysis tool BioLayout Express3D we have constructed and clustered large correlation graphs of these data in order to identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (www.biogps.org) and on macrophages.com (www.macrophages.com). Meta-analysis of publically available human primary cell data run on the Affymetrix U133plus2.0 array.
2013-08-16 | E-GEOD-49910 | biostudies-arrayexpress
Project description:Microarray analysis of human adrenal and gonad (testis and ovary) samples between six and ten weeks post-conception. This dataset consists of 17 adrenal glands, 20 testes and 10 ovaries, as well as 6 control samples from spine, brain, muscle, heart, kidney and liver.
2017-03-27 | E-MTAB-5525 | biostudies-arrayexpress
Project description:Chromatin State Profilining using multiple histone modifications in human craniofacial tissue spanning 4.5 post conception weeks to 10 pcw The raw FASTQ sequence files are being deposited in dbGAP
2017-05-04 | GSE97752 | GEO
Project description:The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets (745 samples, from over 100 separate studies) derived from human primary cells and analysed on the Affymetrix U133plus2.0 array. Using the network analysis tool BioLayout Express3D we have constructed and clustered large correlation graphs of these data in order to identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (www.biogps.org) and on macrophages.com (www.macrophages.com).
2013-08-16 | GSE49910 | GEO
Project description:Synchronized cross talk between embryo and endometrium during pre-implantation period is critical for establishment of pregnancy. Extracellular vesicels(EVs) of both embryo and endometrial origin are known to be integral in regulating embryo maternal communication during this time. However, exact molecular signalling pathways or factors that regulate the embryo endometrial communication during pre-conception period remains elusive. Here in this study extracellular vesicles from trophoblast cells were shown to modulate endometrial epithelial cell secretome in favour of embryo implantation and embryo development.
2023-10-24 | PXD040311 | Pride
Project description:A Meta-Atlas of the Developing Human Cortex Identifies Modules Driving Cell Subtype Specification
| PRJNA1014494 | ENA
Project description:The Drosophila wing disc has been a fundamental model system for the discovery of key signaling pathways and for our understanding of developmental processes. However, a complete map of gene expression in this tissue is lacking. To obtain a complete gene expression atlas in the wing disc, we employed single-cell sequencing (scRNA-seq) and developed a new method for analyzing scRNA-seq data based on gene expression correlations rather than cell mappings. This enables us to discover 824 genes with spatially restricted expression patterns, and to compute expression maps for all genes in the wing disc. This approach identifies both known and new clusters of genes with similar expression patterns and functional relevance. As proof of concept, we characterize the previously unstudied gene CG5151 and show it regulates Wnt signaling. This novel method will enable the leveraging of scRNA-seq data for generating expression atlases of undifferentiated tissues during development.
2019-06-01 | GSE127832 | GEO
Project description:Background The molecular mechanisms mediating postnatal loss of cardiac regeneration in mammals are not fully understood. We aimed to provide an integrated resource of mRNA , protein, and metabolite changes in the neonatal heart for identification of metabolism-related mechanisms associated with cardiac regeneration. Methods and Results Mouse ventricular tissue samples taken on postnatal day 1 (P01), P04, P09, and P23 were analyzed with RNA sequencing and global proteomics and metabolomics. Gene ontology analysis, KEGG pathway analysis, and fuzzy c-means clustering were used to identify up- or downregulated biological processes and metabolic pathways on all 3 levels, and Ingenuity pathway analysis (Qiagen) was used to identify upstream regulators. Differential expression was observed for 8547 mRNA s and for 1199 of 2285 quantified proteins. Furthermore, 151 metabolites with significant changes were identified. Differentially regulated metabolic pathways include branched chain amino acid degradation (upregulated at P23), fatty acid metabolism (upregulated at P04 and P09; downregulated at P23) as well as the HMGCS ( HMG -CoA [hydroxymethylglutaryl-coenzyme A] synthase)-mediated mevalonate pathway and ketogenesis (transiently activated). Pharmacological inhibition of HMGCS in primary neonatal cardiomyocytes reduced the percentage of BrdU-positive cardiomyocytes, providing evidence that the mevalonate and ketogenesis routes may participate in regulating the cardiomyocyte cell cycle. Conclusions This study is the first systems-level resource combining data from genomewide transcriptomics with global quantitative proteomics and untargeted metabolomics analyses in the mouse heart throughout the early postnatal period. These integrated data of molecular changes associated with the loss of cardiac regeneration may open up new possibilities for the development of regenerative therapies.
| S-EPMC6474944 | biostudies-literature