Evidence map›Paper›PMID 30263871›Full record

ArticleNature biomedical engineering2017

Transcriptomic and epigenomic differences in human induced pluripotent stem cells generated from six reprogramming methods.

Jared M Churko, Jaecheol Lee, Mohamed Ameen, Mingxia Gu, Meenakshi Venkatasubramanian, Sebastian Diecke, Karim Sallam, Hogune Im, Gavin Wang, Joseph D Gold and 3 more

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

13 authors.

Jared M ChurkoInstitute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Jaecheol LeeInstitute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Mohamed AmeenInstitute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Mingxia GuInstitute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Meenakshi VenkatasubramanianDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
Sebastian DieckeInstitute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Karim SallamInstitute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Hogune ImDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
Gavin WangDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Joseph D GoldInstitute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Nathan SalomonisDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Joseph C WuInstitute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA. joewu@stanford.edu.

Funding

Project 3: Effect of Age and Longevity Genes on Epigenomic MechanismsP01GM099130 · NIGMS · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2011 to 2015
$11.4M
Genome Editing of Human iPSCs to Study Inherited Hypertrophic CardiomyopathyR01HL126527 · NHLBI · STANFORD UNIVERSITY · PI QI, LEI STANLEY, WU, JOSEPH C. · 2015 to 2022
$5.4M
Modeling Susceptibility to Chemotherapy-Induced Cardiotoxicity Using Human iPSCsR01HL123968 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS, WU, JOSEPH C. · 2014 to 2021
$4.8M
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
Notch signaling in cardiomyocyte transcriptome signaturesK99HL128906 · NHLBI · STANFORD UNIVERSITY · PI CHURKO, JARED · 2015 to 2016
$230k
NHLBI NIH HHS K99 HL128906NHLBI NIH HHS R01 HL123968NHLBI NIH HHS R01 HL126527NHLBI NIH HHS R01 HL128170NIGMS NIH HHS P01 GM099130
6 · The paper itself

Abstract

Many reprogramming methods can generate human induced pluripotent stem cells (hiPSCs) that closely resemble human embryonic stem cells (hESCs). This has led to assessments of how similar hiPSCs are to hESCs, by evaluating differences in gene expression, epigenetic marks and differentiation potential. However, all previous studies were performed using hiPSCs acquired from different laboratories, passage numbers, culturing conditions, genetic backgrounds and reprogramming methods, all of which may contribute to the reported differences. Here, by using high-throughput sequencing under standardized cell culturing conditions and passage number, we compare the epigenetic signatures (H3K4me3, H3K27me3 and HDAC2 ChIP-seq profiles) and transcriptome differences (by RNA-seq) of hiPSCs generated from the same primary fibroblast population by using six different reprogramming methods. We found that the reprogramming method impacts the resulting transcriptome and that all hiPSC lines could terminally differentiate, regardless of the reprogramming method. Moreover, by comparing the differences between the hiPSC and hESC lines, we observed a significant proportion of differentially expressed genes that could be attributed to polycomb repressive complex targets.

Identifiers

PMID30263871
PMCPMC6155993

What OpenQuestion holds

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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.