Evidence map›Paper›PMID 22172014›Full record

ArticleBMC bioinformatics2011

Jetset: selecting the optimal microarray probe set to represent a gene.

Qiyuan Li, Nicolai J Birkbak, Balazs Gyorffy, Zoltan Szallasi, Aron C Eklund

Abstract read
In one paragraph

Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed, 6 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

207 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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

147 more citing papers are in PubMed but not listed here.

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

5 authors.

Qiyuan LiCenter for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark.
Nicolai J Birkbak
Balazs Gyorffy
Zoltan Szallasi
Aron C Eklund

Funding

Variation in Receptor Tyrosine Kinases and Breast Cancer RiskP50CA089393 · NCI · DANA-FARBER CANCER INSTITUTE · PI WINER, ERIC P · 2000 to 2009
$28.8M
Extracting reliable information from microarray dataR21LM008823 · NLM · BOSTON CHILDREN'S HOSPITAL · PI SZALLASI, ZOLTAN · 2006 to 2007
$373k
Increasing the reliability of clinical microarray data analysis by systematic biaR03LM009979 · NLM · BOSTON CHILDREN'S HOSPITAL · PI SZALLASI, ZOLTAN · 2009 to 2010
$171k
NCI NIH HHS P50 CA 89393NLM NIH HHS 1R03LM009979-01NLM NIH HHS R21LM008823-01A1
6 · The paper itself

Abstract

backgroundInterpretation of gene expression microarrays requires a mapping from probe set to gene. On many Affymetrix gene expression microarrays, a given gene may be detected by multiple probe sets, which may deliver inconsistent or even contradictory measurements. Therefore, obtaining an unambiguous expression estimate of a pre-specified gene can be a nontrivial but essential task.

resultsWe developed scoring methods to assess each probe set for specificity, splice isoform coverage, and robustness against transcript degradation. We used these scores to select a single representative probe set for each gene, thus creating a simple one-to-one mapping between gene and probe set. To test this method, we evaluated concordance between protein measurements and gene expression values, and between sets of genes whose expression is known to be correlated. For both test cases, we identified genes that were nominally detected by multiple probe sets, and we found that the probe set chosen by our method showed stronger concordance.

conclusionsThis method provides a simple, unambiguous mapping to allow assessment of the expression levels of specific genes of interest.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesExonsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansOligonucleotide Array Sequence AnalysisReceptors, EstrogenSensitivity and SpecificityERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, Estrogen

Identifiers

PMID22172014
PMCPMC3266307

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.