Evidence map›Paper›PMID 22012392›Full record

ArticleNature2011

The evolution of gene expression levels in mammalian organs.

David Brawand, Magali Soumillon, Anamaria Necsulea, Philippe Julien, Gábor Csárdi, Patrick Harrigan, Manuela Weier, Angélica Liechti, Ayinuer Aximu-Petri, Martin Kircher and 8 more

Abstract read
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In one paragraph

Article in Nature, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 775 papers.

0numbers the graph read from it
0cells of the map it votes in
775citing papers in PubMed
33.7field-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

775 citing papers in PubMed, 1,347 citations in OpenAlex.

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715 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

18 authors at 7 institutions in 5 countries.

David BrawandCenter for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland.
Magali Soumillon
Anamaria Necsulea
Philippe Julien
Gábor Csárdi
Patrick Harrigan
Manuela Weier
Angélica Liechti
Ayinuer Aximu-Petri
Martin Kircher
Frank W Albert
Ulrich Zeller
Philipp Khaitovich
Frank Grützner
Sven Bergmann
Rasmus Nielsen
Svante Pääbo
Henrik Kaessmann
University of Lausanne · CHMax Planck Society · DESIB Swiss Institute of Bioinformatics · CHUniversity of California, Berkeley · USHumboldt-Universität zu Berlin · DEMax Planck Institute for Evolutionary Anthropology · DEUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in gene expression are thought to underlie many of the phenotypic differences between species. However, large-scale analyses of gene expression evolution were until recently prevented by technological limitations. Here we report the sequencing of polyadenylated RNA from six organs across ten species that represent all major mammalian lineages (placentals, marsupials and monotremes) and birds (the evolutionary outgroup), with the goal of understanding the dynamics of mammalian transcriptome evolution. We show that the rate of gene expression evolution varies among organs, lineages and chromosomes, owing to differences in selective pressures: transcriptome change was slow in nervous tissues and rapid in testes, slower in rodents than in apes and monotremes, and rapid for the X chromosome right after its formation. Although gene expression evolution in mammals was strongly shaped by purifying selection, we identify numerous potentially selectively driven expression switches, which occurred at different rates across lineages and tissues and which probably contributed to the specific organ biology of various mammals.

Indexed as

Evolution, MolecularGene Expression ProfilingAnimalsHumansPhylogenyPrincipal Component AnalysisRNA, MessengerX ChromosomeRNA, Messenger

Identifiers

PMID22012392
OpenAlexW1983275320

What OpenQuestion holds

Textmetadata
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.