Evidence map›Paper›PMID 19906730›Full record

ArticleNucleic acids research2010

Gene expression atlas at the European bioinformatics institute.

Misha Kapushesky, Ibrahim Emam, Ele Holloway, Pavel Kurnosov, Andrey Zorin, James Malone, Gabriella Rustici, Eleanor Williams, Helen Parkinson, Alvis Brazma

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing 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

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

  1. Pooled it
  2. Genome-wide association study of inhaled corticosteroid response in admixed children with asthma.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2019
    Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Gene function predicts divergence across molecular levels.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Strawberry atlas:PeerJ · 2026
    Article
  10. Article
  11. Article
  12. GrameneOryza: a comprehensive resource for Oryza genomes, genetic variation, and functional data.Database : the journal of biological databases and curation · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genetic Variant inInternational journal of molecular sciences · 2023
    Article

81 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

10 authors.

Misha KapusheskyEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
Ibrahim Emam
Ele Holloway
Pavel Kurnosov
Andrey Zorin
James Malone
Gabriella Rustici
Eleanor Williams
Helen Parkinson
Alvis Brazma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Gene Expression Atlas (http://www.ebi.ac.uk/gxa) is an added-value database providing information about gene expression in different cell types, organism parts, developmental stages, disease states, sample treatments and other biological/experimental conditions. The content of this database derives from curation, re-annotation and statistical analysis of selected data from the ArrayExpress Archive of Functional Genomics Data. A simple interface allows the user to query for differential gene expression either (i) by gene names or attributes such as Gene Ontology terms, or (ii) by biological conditions, e.g. diseases, organism parts or cell types. The gene queries return the conditions where expression has been reported, while condition queries return which genes are reported to be expressed in these conditions. A combination of both query types is possible. The query results are ranked using various statistical measures and by how many independent studies in the database show the particular gene-condition association. Currently, the database contains information about more than 200,000 genes from nine species and almost 4500 biological conditions studied in over 30,000 assays from over 1000 independent studies.

Indexed as

Databases, GeneticDatabases, Nucleic AcidAnimalsComputational BiologyComputer GraphicsEuropeGene Expression ProfilingHumansInformation Storage and RetrievalInternetModels, StatisticalSoftware

Identifiers

PMID19906730
PMCPMC2808905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.