Evidence map›Paper›PMID 18369100›Full record

ArticleStem cells (Dayton, Ohio)2008

Copy number variant analysis of human embryonic stem cells.

Hao Wu, Kevin J Kim, Kshama Mehta, Salvatore Paxia, Andrew Sundstrom, Thomas Anantharaman, Ali I Kuraishy, Tri Doan, Jayati Ghosh, April D Pyle and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Stem cells (Dayton, Ohio), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

17 authors at 5 institutions in 1 country.

Hao WuDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California 90095-1732, USA.
Kevin J Kim
Kshama Mehta
Salvatore Paxia
Andrew Sundstrom
Thomas Anantharaman
Ali I Kuraishy
Tri Doan
Jayati Ghosh
April D Pyle
Amander Clark
William Lowry
Guoping Fan
Tim Baxter
Bud Mishra
Yi Sun
Michael A Teitell
University of California, Los Angeles · USAgilent Technologies (United States) · USBroad Center · USCourant Institute of Mathematical Sciences · USNew York University · US

Funding

Human Embryonic Stem Cell CoreP01GM081621 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZACK, JEROME A. · 2008 to 2012
$9.3M
NIGMS NIH HHS P01 GM081621
6 · The paper itself

Abstract

Differences between individual DNA sequences provide the basis for human genetic variability. Forms of genetic variation include single-nucleotide polymorphisms, insertions/duplications, deletions, and inversions/translocations. The genome of human embryonic stem cells (hESCs) has been characterized mainly by karyotyping and comparative genomic hybridization (CGH), techniques whose relatively low resolution at 2-10 megabases (Mb) cannot accurately determine most copy number variability, which is estimated to involve 10%-20% of the genome. In this brief technical study, we examined HSF1 and HSF6 hESCs using array-comparative genomic hybridization (aCGH) to determine copy number variants (CNVs) as a higher-resolution method for characterizing hESCs. Our approach used five samples for each hESC line and showed four consistent CNVs for HSF1 and five consistent CNVs for HSF6. These consistent CNVs included amplifications and deletions that ranged in size from 20 kilobases to 1.48 megabases, involved seven different chromosomes, were both shared and unique between hESCs, and were maintained during neuronal stem/progenitor cell differentiation or drug selection. Thirty HSF1 and 40 HSF6 less consistently scored but still highly significant candidate CNVs were also identified. Overall, aCGH provides a promising approach for uniquely identifying hESCs and their derivatives and highlights a potential genomic source for distinct differentiation and functional potentials that lower-resolution karyotype and CGH techniques could miss. Disclosure of potential conflicts of interest is found at the end of this article.

Indexed as

Genetic VariationGenome, HumanCell Culture TechniquesCell DivisionDNADNA-Binding ProteinsEmbryonic Stem CellsHeat-Shock ProteinsHeat Shock Transcription FactorsHumansNeuronsNucleic Acid HybridizationPolymerase Chain ReactionTranscription FactorsDNADNA-Binding ProteinsHeat-Shock ProteinsHeat Shock Transcription FactorsHSF1 protein, humanTranscription Factors

Identifiers

PMID18369100
PMCPMC3901366
OpenAlexW2167613189

What OpenQuestion holds

Textmetadata
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.