MassIVE MSV000095595

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Temporal multiomics gene expression data across human embryonic stem cell derived cardiomyocyte differentiation

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Description

Embryonic development has not been fully understood, despite significant advances in molecular and systems-level approaches. Human embryonic stem cells (hESCs) serve as a valuable in vitro model for studying early human developmental processes due to their ability to differentiate into all three germ layers. Here, we present a comprehensive multi-omics dataset generated by differentiating hESCs into cardiomyocytes via the mesodermal lineage, collecting samples at 10 distinct time points. We measured mRNA levels by mRNA sequencing (mRNA-seq), translation levels by ribosome profiling (Ribo-seq), and protein levels by quantitative mass spectrometry. Technical validation confirmed high quality and reproducibility across all datasets, with strong correlations between replicates. This extensive dataset provides critical insights into the complex regulatory mechanisms of cardiomyocyte differentiation and serves as a valuable resource for the research community, aiding in the exploration of mammalian development and gene regulation. [doi:10.25345/C56H4D25B] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: hESC differentiation, DIA, Gene expression

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Principal Investigators:
(in alphabetical order) 		Marko Jovanovic, Columbia University, USA
Submitting User: ak3952
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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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