ArticleScientific reports2015
Comparative transcriptomic analysis of multiple cardiovascular fates from embryonic stem cells predicts novel regulators in human cardiogenesis.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Pooled it
- Integrated multi-omics analysis identifies features that predict human pluripotent stem cell-derived progenitor differentiation to cardiomyocytes.Journal of molecular and cellular cardiology · 2024Article
- Cardiac Development Long Non-Coding RNA (Cells · 2024Article
- Lipid droplet-associated lncRNA LIPTER preserves cardiac lipid metabolism.Nature cell biology · 2023Article
- Topologically associating domain underlies tissue specific expression of long intergenic non-coding RNAs.iScience · 2023Article
- Effect of mechanical unloading on genome-wide DNA methylation profile of the failing human heart.JCI insight · 2023Article
- The Antiviral Effect ofInternational journal of molecular sciences · 2022Article
- Transcriptome dynamics during cholesterol-induced transdifferentiation of human coronary artery smooth muscle cells: A Gene Ontology-centric clustering approach.Biochemistry and biophysics reports · 2021Article
- Multidimensional Mechanistic Spectrum of Long Non-coding RNAs in Heart Development and Disease.Frontiers in cardiovascular medicine · 2021Review
- pH variation impacts molecular pathways associated with somatic cell reprogramming and differentiation of pluripotent stem cells.Reproductive medicine and biology · 2021Review
- The Future of Direct Cardiac Reprogramming: AnyInternational journal of molecular sciences · 2020Review
- Genome-wide studies reveal the essential and opposite roles of ARID1A in controlling human cardiogenesis and neurogenesis from pluripotent stem cells.Genome biology · 2020Article
- Polysome-associated lncRNAs during cardiomyogenesis of hESCs.Molecular and cellular biochemistry · 2020Article
- Transplantation of hMSCs Genome Edited with LEF1 Improves Cardio-Protective Effects in Myocardial Infarction.Molecular therapy. Nucleic acids · 2020Article
- Cardiomyogenic differentiation is fine-tuned by differential mRNA association with polysomes.BMC genomics · 2019Article
- The N-cadherin interactome in primary cardiomyocytes as defined using quantitative proximity proteomics.Journal of cell science · 2019Article
- Cardiomyogenesis Modeling Using Pluripotent Stem Cells: The Role of Microenvironmental Signaling.Frontiers in cell and developmental biology · 2019Review
- Article
- HBL1 Is a Human Long Noncoding RNA that Modulates Cardiomyocyte Development from Pluripotent Stem Cells by Counteracting MIR1.Developmental cell · 2017Article
- Complementary transcriptomic and proteomic analyses reveal regulatory mechanisms of milk protein production in dairy cows consuming different forages.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Dissecting the gene expression programs which control the early stage cardiovascular development is essential for understanding the molecular mechanisms of human heart development and heart disease. Here, we performed transcriptome sequencing (RNA-seq) of highly purified human Embryonic Stem Cells (hESCs), hESC-derived Multipotential Cardiovascular Progenitors (MCPs) and MCP-specified three cardiovascular lineages. A novel algorithm, named as Gene Expression Pattern Analyzer (GEPA), was developed to obtain a refined lineage-specificity map of all sequenced genes, which reveals dynamic changes of transcriptional factor networks underlying early human cardiovascular development. Moreover, our GEPA predictions captured ~90% of top-ranked regulatory cardiac genes that were previously predicted based on chromatin signature changes in hESCs, and further defined their cardiovascular lineage-specificities, indicating that our multi-fate comparison analysis could predict novel regulatory genes. Furthermore, GEPA analysis revealed the MCP-specific expressions of genes in ephrin signaling pathway, positive role of which in cardiomyocyte differentiation was further validated experimentally. By using RNA-seq plus GEPA workflow, we also identified stage-specific RNA splicing switch and lineage-enriched long non-coding RNAs during human cardiovascular differentiation. Overall, our study utilized multi-cell-fate transcriptomic comparison analysis to establish a lineage-specific gene expression map for predicting and validating novel regulatory mechanisms underlying early human cardiovascular development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.