Evidence map›Paper›PMID 24594619›Full record

ArticlePloS one2014

Hierarchical partitioning of metazoan protein conservation profiles provides new functional insights.

Jonathan Witztum, Erez Persi, David Horn, Metsada Pasmanik-Chor, Benny Chor

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jonathan WitztumFaculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel.
Erez PersiSchool of Physics and Astronomy, Tel-Aviv University, Tel-Aviv, Israel.
David HornSchool of Physics and Astronomy, Tel-Aviv University, Tel-Aviv, Israel.
Metsada Pasmanik-ChorFaculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel.
Benny ChorSchool of Computer Science, Tel-Aviv University, Tel-Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of many complete, annotated proteomes enables the systematic study of the relationships between protein conservation and functionality. We explore this question based solely on the presence or absence of protein homologues (a.k.a. conservation profiles). We study 18 metazoans, from two distinct points of view: the human's and the fly's. Using the GOrilla gene ontology (GO) analysis tool, we explore functional enrichment of the "universal proteins", those with homologues in all 17 other species, and of the "non-universal proteins". A large number of GO terms are strongly enriched in both human and fly universal proteins. Most of these functions are known to be essential. A smaller number of GO terms, exhibiting markedly different properties, are enriched in both human and fly non-universal proteins. We further explore the non-universal proteins, whose conservation profiles are consistent with the "tree of life" (TOL consistent), as well as the TOL inconsistent proteins. Finally, we applied Quantum Clustering to the conservation profiles of the TOL consistent proteins. Each cluster is strongly associated with one or a small number of specific monophyletic clades in the tree of life. The proteins in many of these clusters exhibit strong functional enrichment associated with the "life style" of the related clades. Most previous approaches for studying function and conservation are "bottom up", studying protein families one by one, and separately assessing the conservation of each. By way of contrast, our approach is "top down". We globally partition the set of all proteins hierarchically, as described above, and then identify protein families enriched within different subdivisions. While supporting previous findings, our approach also provides a tool for discovering novel relations between protein conservation profiles, functionality, and evolutionary history as represented by the tree of life.

Indexed as

Conserved SequenceAnimalsCluster AnalysisGene OntologyGenes, EssentialGorilla gorillaHumansMicePhylogenyProteinsProteins

Identifiers

PMID24594619
PMCPMC3942430

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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.