Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Post-transcriptionally regulated genes are essential for pluripotent stem cell survival

ABSTRACT: The effects of transcription factors on the maintenance and differentiation of pluripotent stem cells (PSCs) have been well studied. However, the importance of post-transcriptional regulatory mechanisms, which cause the quantitative dissociation of mRNA and protein expression, is still little known. Here, by combining transcriptome and proteome profiling, we identified 228 post-transcriptionally regulated genes with strict upregulation at the protein amounts in PSCs. Among them, we found that 84 genes were vital for the survival of PSCs and HDFs, including 20 genes that were specifically necessary for the survival of PSCs. These 20 proteins were upregulated only in PSCs and not in differentiated cells derived from the three germ layers. Subcellular fractionation of the mRNA showed that the expression of most of the 20 proteins was regulated at the mRNA localization stage from the nucleus to the cytoplasm, but their translation efficiency was constant. Together, these results revealed that post-transcriptionally regulated genes have a crucial role in PSC survival.

ORGANISM(S): Homo sapiens

PROVIDER: GSE184546 | GEO | 2022/05/10

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Post-transcriptionally regulated genes are essential for pluripotent stem cell survival

Project description:Here, by combining transcriptome and proteome profiling, we identified 228 post-transcriptionally regulated genes with strict regulation at the protein level in PSCs. Among them, 84 genes were found necessary for the survival of several cell types including PSCs, and 20 genes were identified as specific for the survival of PSCs. These 20 proteins were upregulated only in PSCs and not in differentiated cells derived from the three germ layers. Subcellular fractionation of the mRNA showed that the expression level of most of the 20 proteins was regulated at the mRNA localization stage from the nucleus to the cytoplasm in PSCs, but their translation efficiency was unchanged compared with other cell types. Together, these results reveal a critical function of post-transcriptionally regulated genes on PSC survival.

2022-05-10 | PXD028489 | JPOST Repository

Post-transcriptionally regulated genes are essential for pluripotent stem cell survival

Project description:The effects of transcription factors on the maintenance and differentiation of pluripotent stem cells (PSCs) have been well studied. However, the importance of post-transcriptional regulatory mechanisms, which cause the quantitative dissociation of mRNA and protein expression, is still little known. Here, by combining transcriptome and proteome profiling, we identified 228 post-transcriptionally regulated genes with strict upregulation at the protein amounts in PSCs. Among them, we found that 84 genes were vital for the survival of PSCs and HDFs, including 20 genes that were specifically necessary for the survival of PSCs. These 20 proteins were upregulated only in PSCs and not in differentiated cells derived from the three germ layers. Subcellular fractionation of the mRNA showed that the expression of most of the 20 proteins was regulated at the mRNA localization stage from the nucleus to the cytoplasm, but their translation efficiency was constant. Together, these results revealed that post-transcriptionally regulated genes have a crucial role in PSC survival.

2022-05-10 | GSE199820 | GEO

Post-transcriptionally regulated genes are essential for pluripotent stem cell survival

Project description:Post-transcriptionally regulated genes are essential for pluripotent stem cell survival

| PRJNA821543 | ENA

Post-transcriptionally regulated genes are essential for pluripotent stem cell survival

Project description:Post-transcriptionally regulated genes are essential for pluripotent stem cell survival

| PRJNA765014 | ENA

Homo sapiens

Project description:Genome-wide analysis of genes regulated transcriptionally and post-transcriptionally by HTLV-I p30

| PRJNA115465 | ENA

Identification of the molecular basis of anti-cancer effect of Huaier.

Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None. Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes. For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..

| 2612481 | ecrin-mdr-crc

Identification of the molecular basis of anti-cancer effect of Huaier.

Project description:Intervention type:DRUG Name of intervention:Huaier Dose form / Japanese Medical Device Nomenclature:GRANULES Route of administration / Site of application:ORAL Dose per administration:20? g Dosing frequency / Frequency of use:OTHER, SPECIFY 20g? per day Planned duration of intervention:3 months to extending if necessary Intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary detailes of teratment arms:hepatocellular carcinoma, breast cancer, colorectal cancer and related gastrointestinal cancers, urologic cancers including prostate cancer, pancreas cancer, and lung cancer, etc. Comparative intervention name:None Dose form / Japanese Medical Device Nomenclature: Route of administration / Site of application: Dose per administration: Dosing frequency / Frequency of use: Planned duration of intervention: Intended dose regimen: Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes. For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis. Study Design: Comparative test, None, No, open(masking not used), EXPLORATORY

| 98681 | ecrin-mdr-crc

Quantifying post-transcriptional regulation in the development of Drosophila melanogaster

Project description:Even though proteins are produced from mRNA, the correlation between mRNA levels and protein abundances is moderate in most studies, occasionally attributed to complex post-transcriptional regulation. To address this, we generated a paired transcriptome/proteome time course dataset with 14 time points during Drosophila embryogenesis. Despite a limited mRNA-protein correlation (ρ = 0.54), mathematical models describing protein translation and degradation explain 84% of protein time-courses based on the measured mRNA dynamics without assuming complex post-transcriptional regulation, and allow for classification of most proteins into four distinct regulatory scenarios. By performing an in-depth characterization of the putatively post-transcriptionally regulated genes, we postulated that the RNA-binding protein Hrb98DE is involved in post-transcriptional control of sugar metabolism in early embryogenesis and partially validated this hypothesis using Hrb98DE knockdown. In summary, we present a systems biology framework for the identification of post-transcriptional gene regulation for large-scale time-resolved transcriptome and proteome data.

2018-10-26 | PXD011238 | Pride

Transcriptional analysis of pre and post excision human induced pluripotent stem cells

Project description:Transcriptional analysis was performed on pre and post excision human induced pluripotent stem cells, the donor human dermal fibroblasts (HDFs) they were derived from and control human embryonic stem cells We isolated total RNA from pre and post excision human induced pluripotent stem cells, the donor human dermal fibroblasts (HDFs) they were derived from and control human embryonic stem cells and analyzed via Affymetrix microarray analysis.

2013-07-13 | E-GEOD-48830 | biostudies-arrayexpress

Hypoxia-induced genes in mouse spermatogonia

Project description:Purpose: We tried to identify genes that regulate hypoxic response in mouse spermatogonial stem cells. We report the chareacterization of genes expressed under 1% oxygen. Results: We found 228 differentialy expressed genes between cells cultured under hypoxia (1% oxygen) and those under normoxia (20% oxygen).

2021-12-31 | GSE148706 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data