Evidence map›Paper›PMID 21494607›Full record

ArticlePloS one2011

A universal system for highly efficient cardiac differentiation of human induced pluripotent stem cells that eliminates interline variability.

Paul W Burridge, Susan Thompson, Michal A Millrod, Seth Weinberg, Xuan Yuan, Ann Peters, Vasiliki Mahairaki, Vassilis E Koliatsos, Leslie Tung, Elias T Zambidis

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
239citing papers in PubMed, 1 pooled it
21.8field-weighted citation impact, top 1% 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

239 citing papers in PubMed, 1 synthesis or guideline pooled it, 419 citations in OpenAlex.

  1. Pooled it
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  19. iScience · 2024
    Article
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179 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 2 countries.

Paul W BurridgeJohns Hopkins Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America. paul.burridge@jhmi.edu
Susan Thompson
Michal A Millrod
Seth Weinberg
Xuan Yuan
Ann Peters
Vasiliki Mahairaki
Vassilis E Koliatsos
Leslie Tung
Elias T Zambidis
University of Maryland, Baltimore · US

Funding

CELLULAR &MOLECULAR MECH OF INFLAMMATORY REACTIONST32AI007247 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Joel L Pomerantz · 1985 to 2026
$10.2M
Basic and Translational Research of iPSC-Based hematologic and Vascular TherapiesU01HL099775 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI FRIEDMAN, ALAN D · 2009 to 2015
$8.4M
Basic and Translational Research iPSC-based hematologic and vascular therapiesU01HL100397 · NHLBI · STANFORD UNIVERSITY · PI COOKE, JOHN P · 2009 to 2015
$7.4M
Origin of HSC from Embryonic Stem CellsK08HL077595 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ZAMBIDIS, ELIAS T. · 2004 to 2008
$666k
Transcriptional and Epigenetic Regulation of HSC Generated from iPS and ESCR03HL096220 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI FRIEDMAN, ALAN D, ZAMBIDIS, ELIAS T. · 2009 to 2009
$41k
NHLBI NIH HHS K08 HL077595NHLBI NIH HHS R03 HL096220NHLBI NIH HHS U01 HL099775NHLBI NIH HHS U01HL099775NHLBI NIH HHS U01 HL100397NHLBI NIH HHS U01HL100397NIAID NIH HHS T32 AI007247
6 · The paper itself

Abstract

backgroundThe production of cardiomyocytes from human induced pluripotent stem cells (hiPSC) holds great promise for patient-specific cardiotoxicity drug testing, disease modeling, and cardiac regeneration. However, existing protocols for the differentiation of hiPSC to the cardiac lineage are inefficient and highly variable. We describe a highly efficient system for differentiation of human embryonic stem cells (hESC) and hiPSC to the cardiac lineage. This system eliminated the variability in cardiac differentiation capacity of a variety of human pluripotent stem cells (hPSC), including hiPSC generated from CD34(+) cord blood using non-viral, non-integrating methods. METHODOLOGY/PRINCIPAL

findingsWe systematically and rigorously optimized >45 experimental variables to develop a universal cardiac differentiation system that produced contracting human embryoid bodies (hEB) with an improved efficiency of 94.7±2.4% in an accelerated nine days from four hESC and seven hiPSC lines tested, including hiPSC derived from neonatal CD34(+) cord blood and adult fibroblasts using non-integrating episomal plasmids. This cost-effective differentiation method employed forced aggregation hEB formation in a chemically defined medium, along with staged exposure to physiological (5%) oxygen, and optimized concentrations of mesodermal morphogens BMP4 and FGF2, polyvinyl alcohol, serum, and insulin. The contracting hEB derived using these methods were composed of high percentages (64-89%) of cardiac troponin I(+) cells that displayed ultrastructural properties of functional cardiomyocytes and uniform electrophysiological profiles responsive to cardioactive drugs. CONCLUSION/SIGNIFICANCE: This efficient and cost-effective universal system for cardiac differentiation of hiPSC allows a potentially unlimited production of functional cardiomyocytes suitable for application to hPSC-based drug development, cardiac disease modeling, and the future generation of clinically-safe nonviral human cardiac cells for regenerative medicine.

Indexed as

Cell DifferentiationAdultAnimalsAntigens, CD34Body PatterningBone Morphogenetic Protein 4Cell AdhesionCell Culture TechniquesCell LineCell ProliferationCulture MediaElectrophysiological PhenomenaEmbryoid BodiesFetal BloodFibroblast Growth Factor 2FibroblastsAntigens, CD34Bone Morphogenetic Protein 4Culture MediaFibroblast Growth Factor 2InsulinOxygenPolyvinyl Alcohol

Identifiers

PMID21494607
PMCPMC3072973
OpenAlexW2011844821

What OpenQuestion holds

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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.