Evidence map›Paper›PMID 34328525›Full record

ArticleJournal of molecular evolution2021

Spectrum of Protein Location in Proteomes Captures Evolutionary Relationship Between Species.

Valérie Marot-Lassauzaie, Tatyana Goldberg, Jose Juan Almagro Armenteros, Henrik Nielsen, Burkhard Rost

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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 at 4 institutions in 3 countries.

Valérie Marot-LassauzaieDepartment of Informatics & Center for Bioinformatics & Computational Biology - i12, Technical University of Munich (TUM), Boltzmannstr. 3, 85748, Garching/Munich, Germany. assistant@rostlab.org.ORCID 0000-0002-8362-9634
Tatyana GoldbergDepartment of Informatics & Center for Bioinformatics & Computational Biology - i12, Technical University of Munich (TUM), Boltzmannstr. 3, 85748, Garching/Munich, Germany.
Jose Juan Almagro ArmenterosNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark.
Henrik NielsenSection for Bioinformatics, Department of Health Technology, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark.
Burkhard RostDepartment of Informatics & Center for Bioinformatics & Computational Biology - i12, Technical University of Munich (TUM), Boltzmannstr. 3, 85748, Garching/Munich, Germany.
Technical University of Munich · DEInstitute for Advanced Study · DETechnical University of Denmark · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The native subcellular location (also referred to as localization or cellular compartment) of a protein is the one in which it acts most frequently; it is one aspect of protein function. Do ten eukaryotic model organisms differ in their location spectrum, i.e., the fraction of its proteome in each of seven major cellular compartments? As experimental annotations of locations remain biased and incomplete, we need prediction methods to answer this question. After systematic bias corrections, the complete but faulty prediction methods appeared to be more appropriate to compare location spectra between species than the incomplete more accurate experimental data. This work compared the location spectra for ten eukaryotes: Homo sapiens (human), Gorilla gorilla (gorilla), Pan troglodytes (chimpanzee), Mus musculus (mouse), Rattus norvegicus (rat), Drosophila melanogaster (fruit/vinegar fly), Anopheles gambiae (African malaria mosquito), Caenorhabitis elegans (nematode), Saccharomyces cerevisiae (baker's yeast), and Schizosaccharomyces pombe (fission yeast). The two largest classes were predicted to be the nucleus and the cytoplasm together accounting for 47-62% of all proteins, while 7-21% of the proteins were predicted in the plasma membrane and 4-15% to be secreted. Overall, the predicted location spectra were largely similar. However, in detail, the differences sufficed to plot trees (UPGMA) and 2D (PCA) maps relating the ten organisms using a simple Euclidean distance in seven states (location classes). The relations based on the simple predicted location spectra captured aspects of cross-species comparisons usually revealed only by much more detailed evolutionary comparisons. Most interestingly, known phylogenetic relations were reproduced better by paralog-only than by ortholog-only trees.

Indexed as

Drosophila melanogasterProteomeAnimalsDrosophilaMicePhylogenyRatsSaccharomyces cerevisiaeProteomeGenome sequence analysisPrediction of cellular compartmentProtein locationSpecies comparisons

Identifiers

PMID34328525
PMCPMC8379119
OpenAlexW3184858490

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.