Evidence map›Paper›PMID 30379619›Full record

ReviewAnnual review of pathology2019

Systems-Wide Approaches in Induced Pluripotent Stem Cell Models.

Edward Lau, David T Paik, Joseph C Wu

Abstract readReview
In one paragraph

Review in Annual review of pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

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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

3 authors.

Edward LauStanford Cardiovascular Institute, and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California 94305, USA; email: joewu@stanford.edu.
David T PaikStanford Cardiovascular Institute, and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California 94305, USA; email: joewu@stanford.edu.
Joseph C WuStanford Cardiovascular Institute, and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California 94305, USA; email: joewu@stanford.edu.

Funding

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
Elucidating Mechanism of Cardiac Fibrosis with Cell Village of Pooled Human iPSCsR01HL130020 · NHLBI · STANFORD UNIVERSITY · PI Ronglih Liao, MARK MERCOLA · 2016 to 2026
$7.3M
Human Induced Pluripotent Stem Cells for Cardiovascular Disease ModelingR01HL113006 · NHLBI · STANFORD UNIVERSITY · PI WU, JOSEPH C. · 2012 to 2025
$6.8M
Human iPSCs for Elucidating Intercellular Crosstalk Signaling in Dilated CardiomyopathyR01HL141371 · NHLBI · STANFORD UNIVERSITY · PI WONG, WING H., WU, JOSEPH C. · 2018 to 2025
$6.2M
Modeling Tyrosine Kinase Inhibitor-Induced Vascular Dysfunction Using Human iPSCsR01HL141851 · NHLBI · STANFORD UNIVERSITY · PI WONG, WING H., WU, JOSEPH C. · 2018 to 2025
$5.7M
Modeling Susceptibility to Chemotherapy-Induced Cardiotoxicity Using Human iPSCsR01HL123968 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS, WU, JOSEPH C. · 2014 to 2021
$4.8M
Multi-Disciplinary Training Program in Cardiovascular Imaging at StanfordT32EB009035 · NIBIB · STANFORD UNIVERSITY · PI Koen Nieman, John M. Pauly · 2008 to 2026
$4.3M
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
Identifying Markers of Induced Pluripotent Stem Cell-Derived Cardiomyocyte (iPSC-CM) MaturityF32HL139045 · NHLBI · STANFORD UNIVERSITY · PI LAU, EDWARD · 2017 to 2018
$92k
NHLBI NIH HHS F32 HL139045NHLBI NIH HHS R01 HL113006NHLBI NIH HHS R01 HL123968NHLBI NIH HHS R01 HL128170NHLBI NIH HHS R01 HL130020NHLBI NIH HHS R01 HL141371NHLBI NIH HHS R01 HL141851NHLBI NIH HHS R24 HL117756NIBIB NIH HHS T32 EB009035
6 · The paper itself

Abstract

Human induced pluripotent stem cells (iPSCs) provide a renewable supply of patient-specific and tissue-specific cells for cellular and molecular studies of disease mechanisms. Combined with advances in various omics technologies, iPSC models can be used to profile the expression of genes, transcripts, proteins, and metabolites in relevant tissues. In the past 2 years, large panels of iPSC lines have been derived from hundreds of genetically heterogeneous individuals, further enabling genome-wide mapping to identify coexpression networks and elucidate gene regulatory networks. Here, we review recent developments in omics profiling of various molecular phenotypes and the emergence of human iPSCs as a systems biology model of human diseases.

Indexed as

Gene Expression ProfilingProteomicsSystems BiologyGene Expression RegulationGene Regulatory NetworksHumansInduced Pluripotent Stem Cellsdisease modelinginduced pluripotent stem cellsproteomicssystems biologytranscriptomics

Identifiers

PMID30379619
PMCPMC6450651

What OpenQuestion holds

Textmetadata
LicenceTDM
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.