Evidence map›Paper›PMID 18279504›Full record

ArticleGenome biology2008

Functional protein divergence in the evolution of Homo sapiens.

Nuria Lopez-Bigas, Subhajyoti De, Sarah A Teichmann

Abstract read
In one paragraph

Article in Genome biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
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

38 citing papers in PubMed.

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  14. SinEx DB: a database for single exon coding sequences in mammalian genomes.Database : the journal of biological databases and curation · 2016
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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

3 authors.

Nuria Lopez-BigasResearch Unit on Biomedical Informatics, Experimental and Health Science Department, Universitat Pompeu Fabra, Barcelona, 08003, Spain. nuria.lopez@upf.edu
Subhajyoti De
Sarah A Teichmann

Funding

Medical Research Council MC_U105161047
6 · The paper itself

Abstract

backgroundProtein-coding regions in a genome evolve by sequence divergence and gene gain and loss, altering the gene content of the organism. However, it is not well understood how this has given rise to the enormous diversity of metazoa present today.

resultsTo obtain a global view of human genomic evolution, we quantify the divergence of proteins by functional category at different evolutionary distances from human.

conclusionThis analysis highlights some general systems-level characteristics of human evolution: regulatory processes, such as signal transducers, transcription factors and receptors, have a high degree of plasticity, while core processes, such as metabolism, transport and protein synthesis, are largely conserved. Additionally, this study reveals a dynamic picture of selective forces at short, medium and long evolutionary timescales. Certain functional categories, such as 'development' and 'organogenesis', exhibit temporal patterns of sequence divergence in eukaryotes relative to human. This framework for a grammar of human evolution supports previously postulated theories of robustness and evolvability.

Indexed as

Evolution, MolecularGenome, HumanGlucagonHumansInsulinProteinsProteomeSignal TransductionGlucagonInsulinProteinsProteome

Identifiers

PMID18279504
PMCPMC2374701

What OpenQuestion holds

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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.