Evidence map›Paper›PMID 27917881›Full record

ArticleScientific reports2016

Distinct and Shared Determinants of Cardiomyocyte Contractility in Multi-Lineage Competent Ethnically Diverse Human iPSCs.

Martin L Tomov, Zachary T Olmsted, Haluk Dogan, Eda Gongorurler, Maria Tsompana, Hasan H Otu, Michael Buck, Eun-Ah Chang, Jose Cibelli, Janet L Paluh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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 7 institutions in 4 countries.

Martin L TomovState University of New York Polytechnic Institute, Colleges of Nanoscale Science and Engineering (SUNY Poly, CNSE), Nanobioscience, Albany, NY, 12203, USA.
Zachary T OlmstedState University of New York Polytechnic Institute, Colleges of Nanoscale Science and Engineering (SUNY Poly, CNSE), Nanobioscience, Albany, NY, 12203, USA.
Haluk DoganUniversity of Nebraska-Lincoln, Electrical and Computer Engineering, Lincoln, NE, 68588, USA.
Eda GongorurlerIstanbul University Faculty of Medicine, Institute of Experimental Medicine Research (DETAE), Department of Genetics, Fatih, Istanbul, 34393, Turkey.
Maria TsompanaState University of New York Buffalo (SUNY Buffalo), Department of Biochemistry, Center of Excellence in Bioinformatics, Buffalo, NY, 14203, USA.
Hasan H OtuUniversity of Nebraska-Lincoln, Electrical and Computer Engineering, Lincoln, NE, 68588, USA.
Michael BuckState University of New York Buffalo (SUNY Buffalo), Department of Biochemistry, Center of Excellence in Bioinformatics, Buffalo, NY, 14203, USA.
Eun-Ah ChangEulji Medical Center, Eulji University, Department of Laboratory Medicine, Seoul, Korea.
Jose CibelliMichigan State University, Departments of Animal Science and Physiology, East Lansing, MI, 48824, USA.
Janet L PaluhState University of New York Polytechnic Institute, Colleges of Nanoscale Science and Engineering (SUNY Poly, CNSE), Nanobioscience, Albany, NY, 12203, USA.
SUNY Polytechnic Institute · USUniversity at Buffalo, State University of New York · USAndalusian Centre for Nanomedicine and Biotechnology · ESEulji University · KRIstanbul University · TRLincoln Electric (United States) · USUniversity of Nebraska–Lincoln · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The realization of personalized medicine through human induced pluripotent stem cell (iPSC) technology can be advanced by transcriptomics, epigenomics, and bioinformatics that inform on genetic pathways directing tissue development and function. When possible, population diversity should be included in new studies as resources become available. Previously we derived replicate iPSC lines of African American, Hispanic-Latino and Asian self-designated ethnically diverse (ED) origins with normal karyotype, verified teratoma formation, pluripotency biomarkers, and tri-lineage in vitro commitment. Here we perform bioinformatics of RNA-Seq and ChIP-seq pluripotency data sets for two replicate Asian and Hispanic-Latino ED-iPSC lines that reveal differences in generation of contractile cardiomyocytes but similar and robust differentiation to multiple neural, pancreatic, and smooth muscle cell types. We identify shared and distinct genes and contributing pathways in the replicate ED-iPSC lines to enhance our ability to understand how reprogramming to iPSC impacts genes and pathways contributing to cardiomyocyte contractility potential.

Indexed as

BiomarkersCell DifferentiationEthnicityGene Expression Regulation, DevelopmentalHumansInduced Pluripotent Stem CellsMyocytes, CardiacPrecision MedicineTranscriptomeBiomarkers

Identifiers

PMID27917881
PMCPMC5137163
OpenAlexW2560066135

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.