Evidence map›Paper›PMID 31665515›Full record

ArticleNucleic acids research2020

Expression Atlas update: from tissues to single cells.

Irene Papatheodorou, Pablo Moreno, Jonathan Manning, Alfonso Muñoz-Pomer Fuentes, Nancy George, Silvie Fexova, Nuno A Fonseca, Anja Füllgrabe, Matthew Green, Ni Huang and 15 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 348 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
348citing papers in PubMed, 5 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

348 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Abiotic Stress in Crop Production.International journal of molecular sciences · 2023
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Cryo-EM structure of human NaNature communications · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Computational modelling of cell identity.The Biochemical journal · 2026
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

288 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

25 authors.

Irene PapatheodorouEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Pablo MorenoEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Jonathan ManningEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Alfonso Muñoz-Pomer FuentesEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Nancy GeorgeEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Silvie FexovaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Nuno A FonsecaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Anja FüllgrabeEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Matthew GreenEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Ni HuangEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Laura HuertaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Haider IqbalEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Monica JianuEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Suhaib MohammedEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Lingyun ZhaoEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Andrew F JarnuczakEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Simon JuppEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
John MarioniEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Kerstin MeyerWellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.
Robert PetryszakEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Cesar Augusto Prada MedinaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Carlos Talavera-LópezWellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.
Sarah TeichmannWellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.
Juan Antonio VizcainoEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Alvis BrazmaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/P027849/1Wellcome TrustWellcome Trust 108437/Z/15/ZWellcome Trust 208391/Z/17/Z
6 · The paper itself

Abstract

Expression Atlas is EMBL-EBI's resource for gene and protein expression. It sources and compiles data on the abundance and localisation of RNA and proteins in various biological systems and contexts and provides open access to this data for the research community. With the increased availability of single cell RNA-Seq datasets in the public archives, we have now extended Expression Atlas with a new added-value service to display gene expression in single cells. Single Cell Expression Atlas was launched in 2018 and currently includes 123 single cell RNA-Seq studies from 12 species. The website can be searched by genes within or across species to reveal experiments, tissues and cell types where this gene is expressed or under which conditions it is a marker gene. Within each study, cells can be visualized using a pre-calculated t-SNE plot and can be coloured by different features or by cell clusters based on gene expression. Within each experiment, there are links to downloadable files, such as RNA quantification matrices, clustering results, reports on protocols and associated metadata, such as assigned cell types.

Indexed as

Databases, Nucleic AcidGene Expression ProfilingSoftwareComputational BiologyOrgan SpecificitySingle-Cell AnalysisUser-Computer Interface

Identifiers

PMID31665515
PMCPMC7145605

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.