Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation [gene]

ABSTRACT: Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation [gene]

PROVIDER: PRJNA779996 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation

Project description:Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation

| PRJNA780111 | ENA

Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation [miRNA]

Project description:Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation [miRNA]

| PRJNA780000 | ENA

Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation.

Project description:BackgroundHuman-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) are a promising disease model, even though hiPSC-CMs cultured for extended periods display an undifferentiated transcriptional landscape. MiRNA-target gene interactions contribute to fine-tuning the genetic program governing cardiac maturation and may uncover critical pathways to be targeted.MethodsWe analyzed a hiPSC-CM public dataset to identify time-regulated miRNA-target gene interactions based on three logical steps of filtering. We validated this process in silico using 14 human and mouse public datasets, and further confirmed the findings by sampling seven time points over a 30-day protocol with a hiPSC-CM clone developed in our laboratory. We then added miRNA mimics from the top eight miRNAs candidates in three cell clones in two different moments of cardiac specification and maturation to assess their impact on differentiation characteristics including proliferation, sarcomere structure, contractility, and calcium handling.ResultsWe uncovered 324 interactions among 29 differentially expressed genes and 51 miRNAs from 20,543 transcripts through 120 days of hiPSC-CM differentiation and selected 16 genes and 25 miRNAs based on the inverse pattern of expression (Pearson R-values < - 0.5) and consistency in different datasets. We validated 16 inverse interactions among eight genes and 12 miRNAs (Person R-values < - 0.5) during hiPSC-CMs differentiation and used miRNAs mimics to verify proliferation, structural and functional features related to maturation. We also demonstrated that miR-124 affects Ca2+ handling altering features associated with hiPSC-CMs maturation.ConclusionWe uncovered time-regulated transcripts influencing pathways affecting cardiac differentiation/maturation axis and showed that the top-scoring miRNAs indeed affect primarily structural features highlighting their role in the hiPSC-CM maturation.

| S-EPMC9438174 | biostudies-literature

Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation [miRNA]

Project description:Human pluripotent stem cell-derived cardiomyocytes (hPSC-CM) are a promising disease model, although hPSC-CMs are not fully mature cardiomyocytes. We examined exponential differentially expressed miRNA/gene to identify critical time-regulated transcripts associated with hPSC-CM differentiation. We uncovered 324 interactions among 29 differentially expressed genes and 51 miRNAs from 20.543 transcripts during the 120 days of hPSC-CM differentiation. We found 16 genes and 26 miRNAs with an inverse pattern of expression (Pearson R-values < -0.5) validated using several human and mouse databases. We further validated these findings using two hPSC-CM lines and seven sampling times over a 30-day protocol and observed 16 inverse interactions among eight genes and 12 miRNAs (Person R-values < -0.5) changing over time. Finally, we tested the top eight miRNAs by adding miRNA mimics to differentiating hPSC-CMs and found that they influenced proliferation and maturation phenotypes. These time-regulated transcripts appear to regulate single or multiple pathways affecting cardiac differentiation.

2022-09-15 | GSE188731 | GEO

Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation [gene]

2022-09-15 | GSE188725 | GEO

Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-09-15 | GSE188749 | GEO

RNA sequencing for human induced pluripotent stem cell cardiomyocyte differentiation

Project description:We apply short-read RNA sequencing technology to identify transcripts expressed during four time points of a human induced pluripotent stem cell derived cardiomyocyte differentiation protocol, corresponding to pluripotent, mesoderm, early cardiomyocyte, and cardiomyocyte cell stages. The RNA-seq reads are used to generate custom protein sequence database for proteogenomic applications and downstream mass spectrometry analysis. We demonstrate that this custom RNA-seq-guided proteomics approach can be used to identify protein isoforms that are differentially regulated during cardiac differentiation.

2019-11-15 | GSE137920 | GEO

Ethanol Exposure during Differentiation of Human Induced Pluripotent Stem Cells Reduces Cardiomyocyte Generation and Alters Metabolism

Project description:In this study, we investigated the effects of ethanol exposure on cardiomyocyte differentiation by treating the cells with various concentrations of ethanol. The results indicated that ethanol exposure during hiPSC-CM differentiation reduced cell viability, cell proliferation, and cardiomyocyte yield, and caused mitochondrial dysfunction, redox imbalance, and changes of proteomic profiles.

2025-05-23 | PXD056092 | Pride

Comparison of cardiomyocyte transcripts after knockdown of Gata4 in zebrafish embryos

Project description:The Gata4 transcription factor is essential for normal heart development, but the molecular basis for its function remain poorly understood. We profiled at the whole genome level transcript changes in cardiomyocytes when Gata4 is depleted from zebrafish embryos. Our objective was to elucidate the cardiomyocyte-specific molecular program functioning downstream of Gata4 in order to better understand the role of Gata4 in cardiac morphogenesis. Six samples in total are deposited. Three replicate control samples and three replicate Gata4 morphant samples were analyzed.

2014-02-06 | E-GEOD-44233 | biostudies-arrayexpress

Light regulates nuclear detainment of intron-retained transcripts through COP1-spliceosome to modulate photomorphogenesis

Project description:Intron retention (IR) is the most common alternative splicing (AS) event in Arabidopsis. Increasing studies have demonstrated a major role of IR in gene expression regulation. The impacts of IR on plant growth and development, and response to environments remains under explored. Here, we found that IR functions directly in gene expression regulation on a genome-wide scale through detainment of the intron-retained transcripts (IRTs) in the nucleus. Through this mechanism, nuclear-retained IRTs can be kept away from translation. COP1-dependent light modulation of IRTs of light signaling genes, such as PIF4, RVE1, and ABA3, contribute to seedling morphological development in responding to changing light conditions. Further, light-induced IR changes are under the control of the spliceosome, and in part through COP1-dependent ubiquitination and degradation of DCS1, a plant-specific spliceosomal component. Our data suggests that light regulates the activity of the spliceosome and the consequent IRTs nucleus detainment to modulate photomorphogenesis through COP1.

2024-05-20 | PXD043190 | Pride

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