Evidence map›Paper›PMID 21108794›Full record

ArticleGenome biology2010

Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing.

Qi Zhao, Ewen F Kirkness, Otavia L Caballero, Pedro A Galante, Raphael B Parmigiani, Lee Edsall, Samantha Kuan, Zhen Ye, Samuel Levy, Ana Tereza R Vasconcelos and 5 more

Abstract read
In one paragraph

Article in Genome biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. R-Loops and Its Chro-Mates: The Strange Case of Dr. Jekyll and Mr. Hyde.International journal of molecular sciences · 2021
    Review
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  11. G-protein-coupled receptor GPR161 is overexpressed in breast cancer and is a promoter of cell proliferation and invasion.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  12. Review
  13. eQTL Mapping Using RNA-seq Data.Statistics in biosciences · 2013
    Article
  14. Article
  15. Article
  16. Article
  17. Genomic sequencing in clinical trials.Journal of translational medicine · 2011
    Review
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  19. Article
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.

Qi ZhaoLudwig Collaborative Group, Department of Neurosurgery, Johns Hopkins University, 1550 Orleans Street, Baltimore, MD 21231, USA.
Ewen F Kirkness
Otavia L Caballero
Pedro A Galante
Raphael B Parmigiani
Lee Edsall
Samantha Kuan
Zhen Ye
Samuel Levy
Ana Tereza R Vasconcelos
Bing Ren
Sandro J de Souza
Anamaria A Camargo
Andrew J G Simpson
Robert L Strausberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo identify potential tumor suppressor genes, genome-wide data from exome and transcriptome sequencing were combined to search for genes with loss of heterozygosity and allele-specific expression. The analysis was conducted on the breast cancer cell line HCC1954, and a lymphoblast cell line from the same individual, HCC1954BL.

resultsBy comparing exome sequences from the two cell lines, we identified loss of heterozygosity events at 403 genes in HCC1954 and at one gene in HCC1954BL. The combination of exome and transcriptome sequence data also revealed 86 and 50 genes with allele specific expression events in HCC1954 and HCC1954BL, which comprise 5.4% and 2.6% of genes surveyed, respectively. Many of these genes identified by loss of heterozygosity and allele-specific expression are known or putative tumor suppressor genes, such as BRCA1, MSH3 and SETX, which participate in DNA repair pathways.

conclusionsOur results demonstrate that the combined application of high throughput sequencing to exome and allele-specific transcriptome analysis can reveal genes with known tumor suppressor characteristics, and a shortlist of novel candidates for the study of tumor suppressor activities.

Indexed as

Gene Expression ProfilingGenes, Tumor SuppressorAllelesBreast NeoplasmsCell Line, TumorFemaleGenome, HumanHigh-Throughput Nucleotide SequencingHumansLoss of HeterozygosityPolymorphism, Single NucleotideReverse Transcriptase Polymerase Chain Reaction

Identifiers

PMID21108794
PMCPMC3156953

What OpenQuestion holds

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LicenceCC BY
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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.