Evidence map›Paper›PMID 26481351›Full record

ArticleNucleic acids research2016

Expression Atlas update--an integrated database of gene and protein expression in humans, animals and plants.

Robert Petryszak, Maria Keays, Y Amy Tang, Nuno A Fonseca, Elisabet Barrera, Tony Burdett, Anja Füllgrabe, Alfonso Muñoz-Pomer Fuentes, Simon Jupp, Satu Koskinen and 14 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 318 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
318citing papers in PubMed, 3 pooled it
35.3field-weighted citation impact, top 1% 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

318 citing papers in PubMed, 3 syntheses or guidelines pooled it, 561 citations in OpenAlex.

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258 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

24 authors at 3 institutions in 2 countries.

Robert PetryszakEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK rpetry@ebi.ac.uk.
Maria KeaysEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.ORCID http://orcid.org/0000-0003-2034-601X
Y Amy TangEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Nuno A FonsecaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.ORCID http://orcid.org/0000-0003-4832-578X
Elisabet BarreraEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.ORCID http://orcid.org/0000-0002-7245-9692
Tony BurdettEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.ORCID http://orcid.org/0000-0002-2513-5396
Anja FüllgrabeEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.ORCID http://orcid.org/0000-0002-8674-0039
Alfonso Muñoz-Pomer FuentesEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Simon JuppEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.ORCID http://orcid.org/0000-0002-0643-3144
Satu KoskinenEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Oliver MannionEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Laura HuertaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.ORCID http://orcid.org/0000-0002-8748-599X
Karine MegyEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Catherine SnowEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Eleanor WilliamsEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Mitra BarzineEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Emma HastingsEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.ORCID http://orcid.org/0000-0001-9927-8560
Hendrik WeisserWelcome Trust Sanger Institute, Hinxton, UK.
James WrightWelcome Trust Sanger Institute, Hinxton, UK.
Pankaj JaiswalOregon State University, Corvallis, USA.
Wolfgang HuberEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Jyoti ChoudharyWelcome Trust Sanger Institute, Hinxton, UK.
Helen E ParkinsonEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
Alvis BrazmaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.
European Bioinformatics Institute · GBWellcome Sanger Institute · GBOregon State University · US

Funding

STANFORD COMPOSITE(RMI)U54HG004028 · NHGRI · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2005 to 2014
$36.2M
GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
Biotechnology and Biological Sciences Research Council BB/G022755/1Biotechnology and Biological Sciences Research Council BB/M018458/1NHGRI NIH HHS U41 HG007234NHGRI NIH HHS U54-HG004028Wellcome Trust WT098051
6 · The paper itself

Abstract

Expression Atlas (http://www.ebi.ac.uk/gxa) provides information about gene and protein expression in animal and plant samples of different cell types, organism parts, developmental stages, diseases and other conditions. It consists of selected microarray and RNA-sequencing studies from ArrayExpress, which have been manually curated, annotated with ontology terms, checked for high quality and processed using standardised analysis methods. Since the last update, Atlas has grown seven-fold (1572 studies as of August 2015), and incorporates baseline expression profiles of tissues from Human Protein Atlas, GTEx and FANTOM5, and of cancer cell lines from ENCODE, CCLE and Genentech projects. Plant studies constitute a quarter of Atlas data. For genes of interest, the user can view baseline expression in tissues, and differential expression for biologically meaningful pairwise comparisons-estimated using consistent methodology across all of Atlas. Our first proteomics study in human tissues is now displayed alongside transcriptomics data in the same tissues. Novel analyses and visualisations include: 'enrichment' in each differential comparison of GO terms, Reactome, Plant Reactome pathways and InterPro domains; hierarchical clustering (by baseline expression) of most variable genes and experimental conditions; and, for a given gene-condition, distribution of baseline expression across biological replicates.

Indexed as

Databases, GeneticGene Expression ProfilingProteomicsAnimalsCell Line, TumorHumansPlantsProteinsUser-Computer InterfaceProteins

Identifiers

PMID26481351
PMCPMC4702781
OpenAlexW2146749911

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.