Evidence map›Paper›PMID 21612628›Full record

ArticleBMC evolutionary biology2011

Protein coalitions in a core mammalian biochemical network linked by rapidly evolving proteins.

Chrysanthi Ainali, Michelle Simon, Shiri Freilich, Octavio Espinosa, Lee Hazelwood, Sophia Tsoka, Christos A Ouzounis, John M Hancock

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2011. 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
0.4field-weighted citation impact, top 37% 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. Large scale of human duplicate genes divergence.Journal of molecular evolution · 2012
    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

8 authors at 3 institutions in 3 countries.

Chrysanthi AinaliCentre for Bioinformatics, Department of Informatics, School of Natural and Mathematical Sciences, King's College London, Strand, UK.
Michelle Simon
Shiri Freilich
Octavio Espinosa
Lee Hazelwood
Sophia Tsoka
Christos A Ouzounis
John M Hancock
Mary Lyon Centre at MRC Harwell · GBKing's College London · GBTel Aviv University · IL

Funding

Medical Research Council MC_U142684171
6 · The paper itself

Abstract

backgroundCellular ATP levels are generated by glucose-stimulated mitochondrial metabolism and determine metabolic responses, such as glucose-stimulated insulin secretion (GSIS) from the β-cells of pancreatic islets. We describe an analysis of the evolutionary processes affecting the core enzymes involved in glucose-stimulated insulin secretion in mammals. The proteins involved in this system belong to ancient enzymatic pathways: glycolysis, the TCA cycle and oxidative phosphorylation.

resultsWe identify two sets of proteins, or protein coalitions, in this group of 77 enzymes with distinct evolutionary patterns. Members of the glycolysis, TCA cycle, metabolite transport, pyruvate and NADH shuttles have low rates of protein sequence evolution, as inferred from a human-mouse comparison, and relatively high rates of evolutionary gene duplication. Respiratory chain and glutathione pathway proteins evolve faster, exhibiting lower rates of gene duplication. A small number of proteins in the system evolve significantly faster than co-pathway members and may serve as rapidly evolving adapters, linking groups of co-evolving genes.

conclusionsOur results provide insights into the evolution of the involved proteins. We find evidence for two coalitions of proteins and the role of co-adaptation in protein evolution is identified and could be used in future research within a functional context.

Indexed as

Amino Acid SequenceAnimalsConserved SequenceEvolution, MolecularGene DuplicationGlucoseGlycolysisHumansInsulinMetabolic Networks and PathwaysMicePhylogenyProteinsGlucoseInsulinProteins

Identifiers

PMID21612628
PMCPMC3112093
OpenAlexW2079007964

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.