Evidence map›Paper›PMID 25582907›Full record

ArticleNature communications2015

Enhanced transcriptome maps from multiple mouse tissues reveal evolutionary constraint in gene expression.

Dmitri D Pervouchine, Sarah Djebali, Alessandra Breschi, Carrie A Davis, Pablo Prieto Barja, Alex Dobin, Andrea Tanzer, Julien Lagarde, Chris Zaleski, Lei-Hoon See and 13 more

Abstract readAddress
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Transcriptomic Characterization of Male Formosan Pangolin (Animals : an open access journal from MDPI · 2024
    Article
  7. Article
  8. Article
  9. Quantifying transcriptome diversity: a review.Briefings in functional genomics · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Genomic and functional conservation of lncRNAs: lessons from flies.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

23 authors.

Dmitri D Pervouchine1] Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, Barcelona 08003, Spain [2] Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia.
Sarah DjebaliBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, Barcelona 08003, Spain.
Alessandra BreschiBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, Barcelona 08003, Spain.
Carrie A DavisFunctional Genomics Group, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.
Pablo Prieto BarjaBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, Barcelona 08003, Spain.
Alex DobinFunctional Genomics Group, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.
Andrea TanzerFaculty of Chemistry, Institute for Theoretical Chemistry, University of Vienna, Waehringerstrasse 17, 1090 Vienna, Austria.
Julien LagardeBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, Barcelona 08003, Spain.
Chris ZaleskiFunctional Genomics Group, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.
Lei-Hoon SeeFunctional Genomics Group, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.
Meagan FastucaFunctional Genomics Group, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.
Jorg DrenkowFunctional Genomics Group, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.
Huaien WangFunctional Genomics Group, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.
Giovanni BussottiBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, Barcelona 08003, Spain.
Baikang PeiProgram in Computational Biology and Bioinformatics, Yale University, 266 Whitney Avenue, New Haven, Connecticut 06520, USA.
Suganthi Balasubramanian1] Program in Computational Biology and Bioinformatics, Yale University, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, 266 Whitney Avenue, New Haven, Connecticut 06520, USA.
Jean Monlong1] Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, Barcelona 08003, Spain [2] Department of Human Genetics, McGill University, Montreal, Canada H3A 1B.
Arif Harmanci1] Program in Computational Biology and Bioinformatics, Yale University, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, 266 Whitney Avenue, New Haven, Connecticut 06520, USA.
Mark Gerstein1] Program in Computational Biology and Bioinformatics, Yale University, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [3] Department of Computer Science, Yale University, 51 Prospect Street, New Haven, Connecticut 06511, USA.
Michael A BeerDepartment of Biomedical Engineering and McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Broadway Research Building 573, Baltimore, Maryland 21205, USA.
Cedric NotredameBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, Barcelona 08003, Spain.
Roderic GuigóBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, Barcelona 08003, Spain.
Thomas R GingerasFunctional Genomics Group, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
MEDICAL INFORMATICS RESEARCH TRAINING AT YALET15LM007056 · NLM · YALE UNIVERSITY · PI Mark Bender Gerstein, LUCILA OHNO-MACHADO · 1987 to 2026
$22.2M
GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
Integrated human genome annotation: generation of a reference gene setU54HG004555 · NHGRI · SANGER INSTITUTE · PI HUBBARD, TIMOTHY JOHN · 2007 to 2012
$11.2M
Landscape of transcription in human and mouseU54HG007004 · NHGRI · COLD SPRING HARBOR LABORATORY · PI GINGERAS, THOMAS RAYMOND · 2012 to 2017
$10.6M
EDAC: ENCODE Data Analysis CenterU41HG007000 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WENG, ZHIPING · 2012 to 2016
$9.8M
EDAC: ENCODE Data Analysis CenterU01HG004695 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI BIRNEY, EWAN · 2008 to 2012
$6.4M
SVM-based Analysis of the Fine Scale Structure of Regulatory ElementsR01HG007348 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI BEER, MICHAEL A · 2013 to 2017
$2.3M
European Research Council 294653NCI NIH HHS P30 CA045508NHGRI NIH HHS 1U54HG007004-1NHGRI NIH HHS R01 HG007348NHGRI NIH HHS U01 HG004695NHGRI NIH HHS U01HG004695NHGRI NIH HHS U41 HG007000NHGRI NIH HHS U41HG007000NHGRI NIH HHS U41 HG007234NHGRI NIH HHS U41HG007234NHGRI NIH HHS U54 HG004555NHGRI NIH HHS U54HG004555NHGRI NIH HHS U54 HG007004NLM NIH HHS T15 LM007056
6 · The paper itself

Abstract

Mice have been a long-standing model for human biology and disease. Here we characterize, by RNA sequencing, the transcriptional profiles of a large and heterogeneous collection of mouse tissues, augmenting the mouse transcriptome with thousands of novel transcript candidates. Comparison with transcriptome profiles in human cell lines reveals substantial conservation of transcriptional programmes, and uncovers a distinct class of genes with levels of expression that have been constrained early in vertebrate evolution. This core set of genes captures a substantial fraction of the transcriptional output of mammalian cells, and participates in basic functional and structural housekeeping processes common to all cell types. Perturbation of these constrained genes is associated with significant phenotypes including embryonic lethality and cancer. Evolutionary constraint in gene expression levels is not reflected in the conservation of the genomic sequences, but is associated with conserved epigenetic marking, as well as with characteristic post-transcriptional regulatory programme, in which sub-cellular localization and alternative splicing play comparatively large roles.

Indexed as

Evolution, MolecularGene Expression RegulationTranscriptomeAlternative SplicingAnimalsBiological EvolutionCell LineEpigenesis, GeneticGene Expression ProfilingGene LibraryGenomeHistonesHumansMiceMice, Inbred C57BLModels, GeneticHistonesOligonucleotides, Antisense

Identifiers

PMID25582907
PMCPMC4308717

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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.