Evidence map›Paper›PMID 28107356›Full record

ArticlePloS one2017

Integrity of Induced Pluripotent Stem Cell (iPSC) Derived Megakaryocytes as Assessed by Genetic and Transcriptomic Analysis.

Kai Kammers, Margaret A Taub, Ingo Ruczinski, Joshua Martin, Lisa R Yanek, Alyssa Frazee, Yongxing Gao, Dixie Hoyle, Nauder Faraday, Diane M Becker and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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  4. Review
  5. Review
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

15 authors at 3 institutions in 1 country.

Kai KammersDivision of Biostatistics and Bioinformatics, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Margaret A TaubDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Ingo RuczinskiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Joshua MartinThe GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Lisa R YanekThe GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Alyssa FrazeeDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Yongxing GaoDivision of Hematology and Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Dixie HoyleDivision of Hematology and Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Nauder FaradayThe GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Diane M BeckerThe GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Linzhao ChengDivision of Hematology and Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Zack Z WangDivision of Hematology and Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Jeff T LeekDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Lewis C BeckerThe GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Rasika A MathiasThe GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Johns Hopkins University · USJohns Hopkins Medicine · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Genotypic Determinants of Aspirin Response in High Risk FamiliesU01HL072518 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BECKER, LEWIS C · 2002 to 2008
$12.8M
Functional Genomics of Platelet Aggregation Using iPS and Derived MegakaryocytesU01HL107446 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BECKER, LEWIS C, CHENG, LINZHAO · 2011 to 2015
$8.8M
A Family-based Exome Sequencing Approach to Identify Platelet Aggregation GenesR01HL112064 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MATHIAS, RASIKA ANN · 2012 to 2015
$5.1M
Statistical models for biological and technical variation in RNA sequencingR01GM105705 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI LEEK, JEFFREY T. · 2013 to 2017
$1.5M
NHLBI NIH HHS R01 HL112064NHLBI NIH HHS U01 HL072518NHLBI NIH HHS U01 HL107446NIGMS NIH HHS R01 GM105705
6 · The paper itself

Abstract

Previously, we have described our feeder-free, xeno-free approach to generate megakaryocytes (MKs) in culture from human induced pluripotent stem cells (iPSCs). Here, we focus specifically on the integrity of these MKs using: (1) genotype discordance between parent cell DNA to iPSC cell DNA and onward to the differentiated MK DNA; (2) genomic structural integrity using copy number variation (CNV); and (3) transcriptomic signatures of the derived MK lines compared to the iPSC lines. We detected a very low rate of genotype discordance; estimates were 0.0001%-0.01%, well below the genotyping error rate for our assay (0.37%). No CNVs were generated in the iPSCs that were subsequently passed on to the MKs. Finally, we observed highly biologically relevant gene sets as being upregulated in MKs relative to the iPSCs: platelet activation, blood coagulation, megakaryocyte development, platelet formation, platelet degranulation, and platelet aggregation. These data strongly support the integrity of the derived MK lines.

Indexed as

TranscriptomeHumansInduced Pluripotent Stem CellsMegakaryocytes

Identifiers

PMID28107356
PMCPMC5249236
OpenAlexW2572857451

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.