Evidence map›Paper›PMID 28663367›Full record

ArticleCirculation research2017

Genome-Wide Temporal Profiling of Transcriptome and Open Chromatin of Early Cardiomyocyte Differentiation Derived From hiPSCs and hESCs.

Qing Liu, Chao Jiang, Jin Xu, Ming-Tao Zhao, Kevin Van Bortle, Xun Cheng, Guangwen Wang, Howard Y Chang, Joseph C Wu, Michael P Snyder

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
6.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 143 citations in OpenAlex.

  1. Role of ZEB1 in angiogenesis and therapeutic potential (Review).International journal of molecular medicine · 2026
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29 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Qing LiuFrom the Department of Genetics (Q.L., C.J., K.V.B., M.P.S.), Center for Personal Dynamic Regulomes (J.X., H.Y.C.), Stanford Cardiovascular Institute (M.T.Z., J.C.W.), and Stem Cell Core Facility, Department of Genetics (X.C., G.W.), Stanford University School of Medicine, CA.
Chao JiangFrom the Department of Genetics (Q.L., C.J., K.V.B., M.P.S.), Center for Personal Dynamic Regulomes (J.X., H.Y.C.), Stanford Cardiovascular Institute (M.T.Z., J.C.W.), and Stem Cell Core Facility, Department of Genetics (X.C., G.W.), Stanford University School of Medicine, CA.
Jin XuFrom the Department of Genetics (Q.L., C.J., K.V.B., M.P.S.), Center for Personal Dynamic Regulomes (J.X., H.Y.C.), Stanford Cardiovascular Institute (M.T.Z., J.C.W.), and Stem Cell Core Facility, Department of Genetics (X.C., G.W.), Stanford University School of Medicine, CA.
Ming-Tao ZhaoFrom the Department of Genetics (Q.L., C.J., K.V.B., M.P.S.), Center for Personal Dynamic Regulomes (J.X., H.Y.C.), Stanford Cardiovascular Institute (M.T.Z., J.C.W.), and Stem Cell Core Facility, Department of Genetics (X.C., G.W.), Stanford University School of Medicine, CA.
Kevin Van BortleFrom the Department of Genetics (Q.L., C.J., K.V.B., M.P.S.), Center for Personal Dynamic Regulomes (J.X., H.Y.C.), Stanford Cardiovascular Institute (M.T.Z., J.C.W.), and Stem Cell Core Facility, Department of Genetics (X.C., G.W.), Stanford University School of Medicine, CA.
Xun ChengFrom the Department of Genetics (Q.L., C.J., K.V.B., M.P.S.), Center for Personal Dynamic Regulomes (J.X., H.Y.C.), Stanford Cardiovascular Institute (M.T.Z., J.C.W.), and Stem Cell Core Facility, Department of Genetics (X.C., G.W.), Stanford University School of Medicine, CA.
Guangwen WangFrom the Department of Genetics (Q.L., C.J., K.V.B., M.P.S.), Center for Personal Dynamic Regulomes (J.X., H.Y.C.), Stanford Cardiovascular Institute (M.T.Z., J.C.W.), and Stem Cell Core Facility, Department of Genetics (X.C., G.W.), Stanford University School of Medicine, CA.
Howard Y ChangFrom the Department of Genetics (Q.L., C.J., K.V.B., M.P.S.), Center for Personal Dynamic Regulomes (J.X., H.Y.C.), Stanford Cardiovascular Institute (M.T.Z., J.C.W.), and Stem Cell Core Facility, Department of Genetics (X.C., G.W.), Stanford University School of Medicine, CA.
Joseph C WuFrom the Department of Genetics (Q.L., C.J., K.V.B., M.P.S.), Center for Personal Dynamic Regulomes (J.X., H.Y.C.), Stanford Cardiovascular Institute (M.T.Z., J.C.W.), and Stem Cell Core Facility, Department of Genetics (X.C., G.W.), Stanford University School of Medicine, CA.
Michael P SnyderFrom the Department of Genetics (Q.L., C.J., K.V.B., M.P.S.), Center for Personal Dynamic Regulomes (J.X., H.Y.C.), Stanford Cardiovascular Institute (M.T.Z., J.C.W.), and Stem Cell Core Facility, Department of Genetics (X.C., G.W.), Stanford University School of Medicine, CA. mpsnyder@stanford.edu.
Cardiovascular Institute of the South · US

Funding

Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Biorepository of Human iPSCs for Studying Dilated and Hypertrophic CardiomyopathyR24HL117756 · NHLBI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, SNYDER, MICHAEL P. · 2014 to 2018
$8.8M
Human Induced Pluripotent Stem Cells for Cardiovascular Disease ModelingR01HL113006 · NHLBI · STANFORD UNIVERSITY · PI WU, JOSEPH C. · 2012 to 2025
$6.8M
VECTOR COREP30NS069375 · NINDS · STANFORD UNIVERSITY · PI STEINBERG, GARY K · 2011 to 2019
$6.3M
A Systems Biology Approach to Study Cardiac Arrhythmias: iPS Cells and In Silico ModelingR01HL128170 · NHLBI · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO, CLANCY, COLLEEN E · 2015 to 2018
$3.0M
Computational appliance: a supercomputer for modern biomedical researchS10OD023452 · OD · STANFORD UNIVERSITY · PI DATTA, SOMALEE · 2017 to 2017
$600k
Object Storage for Secure Data SharingS10OD025082 · OD · STANFORD UNIVERSITY · PI DATTA, SOMALEE · 2018 to 2018
$593k
Integrated Personalized Epigenome Profiling and the Effect of Dietary Exposure on Individuals at Risk for Type-2-DiabetesF32DK107112 · NIDDK · STANFORD UNIVERSITY · PI VAN BORTLE, KEVIN · 2015 to 2017
$162k
NHGRI NIH HHS P50 HG007735NHLBI NIH HHS R01 HL113006NHLBI NIH HHS R01 HL128170NHLBI NIH HHS R24 HL117756NIDDK NIH HHS F32 DK107112NIH HHS S10 OD025082NINDS NIH HHS P30 NS069375
6 · The paper itself

Abstract

rationaleRecent advances have improved our ability to generate cardiomyocytes from human induced pluripotent stem cells (hiPSCs) and human embryonic stem cells (hESCs). However, our understanding of the transcriptional regulatory networks underlying early stages (ie, from mesoderm to cardiac mesoderm) of cardiomyocyte differentiation remains limited.

objectiveTo characterize transcriptome and chromatin accessibility during early cardiomyocyte differentiation from hiPSCs and hESCs. METHODS AND

resultsWe profiled the temporal changes in transcriptome and chromatin accessibility at genome-wide levels during cardiomyocyte differentiation derived from 2 hiPSC lines and 2 hESC lines at 4 stages: pluripotent stem cells, mesoderm, cardiac mesoderm, and differentiated cardiomyocytes. Overall, RNA sequencing analysis revealed that transcriptomes during early cardiomyocyte differentiation were highly concordant between hiPSCs and hESCs, and clustering of 4 cell lines within each time point demonstrated that changes in genome-wide chromatin accessibility were similar across hiPSC and hESC cell lines. Weighted gene co-expression network analysis (WGCNA) identified several modules that were strongly correlated with different stages of cardiomyocyte differentiation. Several novel genes were identified with high weighted connectivity within modules and exhibited coexpression patterns with other genes, including noncoding RNA

conclusionsBoth hiPSCs and hESCs share similar transcriptional regulatory mechanisms underlying early cardiac differentiation, and our results have revealed transcriptional regulatory networks and new factors (eg, ZEB1) controlling early stages of cardiomyocyte differentiation.

Indexed as

Cell DifferentiationChromatinGene Expression ProfilingGene Regulatory NetworksHuman Embryonic Stem CellsHumansInduced Pluripotent Stem CellsMyocytes, CardiacTranscriptomeChromatincardiomyocytecell differentiationchromatin accessibilityearly stagetranscriptome

Identifiers

PMID28663367
PMCPMC5576565
OpenAlexW2893588482

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.