Evidence map›Paper›PMID 24573882›Full record

ArticleDatabase : the journal of biological databases and curation2014

COMPARTMENTS: unification and visualization of protein subcellular localization evidence.

Janos X Binder, Sune Pletscher-Frankild, Kalliopi Tsafou, Christian Stolte, Seán I O'Donoghue, Reinhard Schneider, Lars Juhl Jensen

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 357 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
357citing papers in PubMed, 4 pooled it
11.8field-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

357 citing papers in PubMed, 4 syntheses or guidelines pooled it, 711 citations in OpenAlex.

  1. Pooled it
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  18. Extracellular Vesicles fromPathogens (Basel, Switzerland) · 2026
    Article
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297 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

7 authors at 3 institutions in 4 countries.

Janos X BinderStructural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), 69117 Heidelberg, Germany, Bioinformatics Core Facility, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 4362 Esch-sur-Alzette, Luxembourg, Department of Disease Systems Biology, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark, CSIRO Computational Informatics, Sydney, NSW 2113 Australia and Garvan Institute of Medical Research, Sydney, NSW 2100, Australia.
Sune Pletscher-Frankild
Kalliopi Tsafou
Christian Stolte
Seán I O'Donoghue
Reinhard Schneider
Lars Juhl Jensen
University of Luxembourg · LUGarvan Institute of Medical Research · AUNovo Nordisk Foundation · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information on protein subcellular localization is important to understand the cellular functions of proteins. Currently, such information is manually curated from the literature, obtained from high-throughput microscopy-based screens and predicted from primary sequence. To get a comprehensive view of the localization of a protein, it is thus necessary to consult multiple databases and prediction tools. To address this, we present the COMPARTMENTS resource, which integrates all sources listed above as well as the results of automatic text mining. The resource is automatically kept up to date with source databases, and all localization evidence is mapped onto common protein identifiers and Gene Ontology terms. We further assign confidence scores to the localization evidence to facilitate comparison of different types and sources of evidence. To further improve the comparability, we assign confidence scores based on the type and source of the localization evidence. Finally, we visualize the unified localization evidence for a protein on a schematic cell to provide a simple overview. Database URL: http://compartments.jensenlab.org.

Indexed as

Cell CompartmentationDatabases, ProteinData MiningHumansInternetProteinsSubcellular FractionsProteins

Identifiers

PMID24573882
PMCPMC3935310
OpenAlexW2115746733

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.