Evidence map›Paper›PMID 26571460›Full record

ArticleNature neuroscience2015

Canonical genetic signatures of the adult human brain.

Michael Hawrylycz, Jeremy A Miller, Vilas Menon, David Feng, Tim Dolbeare, Angela L Guillozet-Bongaarts, Anil G Jegga, Bruce J Aronow, Chang-Kyu Lee, Amy Bernard and 20 more

Open access · greenAbstract read
In one paragraph

Article in Nature neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 380 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
380citing papers in PubMed, 4 pooled it
20.8field-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

380 citing papers in PubMed, 4 syntheses or guidelines pooled it, 718 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  10. Regional cerebral blood flow correlates with transcriptional and cellular signatures in tinnitus.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
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  19. Metabolism-weighted brain connectome reveals synaptic integration and vulnerability to neurodegeneration.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  20. Article

320 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 9 institutions in 3 countries.

Michael HawrylyczThe Allen Institute for Brain Science, Seattle, Washington, USA.
Jeremy A MillerThe Allen Institute for Brain Science, Seattle, Washington, USA.
Vilas MenonThe Allen Institute for Brain Science, Seattle, Washington, USA.
David FengThe Allen Institute for Brain Science, Seattle, Washington, USA.
Tim DolbeareThe Allen Institute for Brain Science, Seattle, Washington, USA.
Angela L Guillozet-BongaartsThe Allen Institute for Brain Science, Seattle, Washington, USA.
Anil G JeggaDivision of Biomedical Informatics, Cincinnati Children's Hospital and Medical Center, Cincinnati, Ohio, USA.ORCID http://orcid.org/0000-0002-4881-7752
Bruce J AronowDivision of Biomedical Informatics, Cincinnati Children's Hospital and Medical Center, Cincinnati, Ohio, USA.
Chang-Kyu LeeThe Allen Institute for Brain Science, Seattle, Washington, USA.
Amy BernardThe Allen Institute for Brain Science, Seattle, Washington, USA.
Matthew F GlasserDepartment of Anatomy and Neurobiology, Washington University, St. Louis, Missouri, USA.
Donna L DierkerDepartment of Anatomy and Neurobiology, Washington University, St. Louis, Missouri, USA.
Jörg MencheCenter for Complex Networks Research, Northeastern University, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0002-1583-6404
Aaron SzaferThe Allen Institute for Brain Science, Seattle, Washington, USA.
Forrest CollmanThe Allen Institute for Brain Science, Seattle, Washington, USA.
Pascal GrangeDepartment of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Jiangsu, China.
Kenneth A BermanDepartment of Electrical Engineering and Computing Systems, University of Cincinnati, Cincinnati, Ohio, USA.
Stefan MihalasThe Allen Institute for Brain Science, Seattle, Washington, USA.
Zizhen YaoThe Allen Institute for Brain Science, Seattle, Washington, USA.
Lance StewartInstitute for Protein Design, University of Washington, Seattle, Washington, USA.
Albert-László BarabásiCenter for Complex Networks Research, Northeastern University, Boston, Massachusetts, USA.
Jay SchulkinDepartment of Neuroscience, Georgetown University, Washington, DC, USA.
John PhillipsThe Allen Institute for Brain Science, Seattle, Washington, USA.
Lydia NgThe Allen Institute for Brain Science, Seattle, Washington, USA.
Chinh DangThe Allen Institute for Brain Science, Seattle, Washington, USA.
David R HaynorDepartment of Radiology, The University of Washington, Seattle, Washington, USA.
Allan JonesThe Allen Institute for Brain Science, Seattle, Washington, USA.
David C Van EssenDepartment of Anatomy and Neurobiology, Washington University, St. Louis, Missouri, USA.
Christof KochThe Allen Institute for Brain Science, Seattle, Washington, USA.
Ed LeinThe Allen Institute for Brain Science, Seattle, Washington, USA.
Allen Institute for Brain Science · USWashington University in St. Louis · USCincinnati Children's Hospital Medical Center · USUniversity of Washington · USBrigham and Women's Hospital · USGeorgetown University · USNortheastern University · USUniversity of Cincinnati · USXi’an Jiaotong-Liverpool University · CN

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Co-expression Networks of Addiction-Related Genes in the Mouse and Human BrainR33DA027644 · NIDA · ALLEN INSTITUTE · PI HAWRYLYCZ, MICHAEL, MITRA, PARTHA PRATIM · 2010 to 2012
$1.1M
NIDA NIH HHS 4R33DA027644NIDA NIH HHS R33 DA027644NIMH NIH HHS 1U54MH091657NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

The structure and function of the human brain are highly stereotyped, implying a conserved molecular program responsible for its development, cellular structure and function. We applied a correlation-based metric called differential stability to assess reproducibility of gene expression patterning across 132 structures in six individual brains, revealing mesoscale genetic organization. The genes with the highest differential stability are highly biologically relevant, with enrichment for brain-related annotations, disease associations, drug targets and literature citations. Using genes with high differential stability, we identified 32 anatomically diverse and reproducible gene expression signatures, which represent distinct cell types, intracellular components and/or associations with neurodevelopmental and neurodegenerative disorders. Genes in neuron-associated compared to non-neuronal networks showed higher preservation between human and mouse; however, many diversely patterned genes displayed marked shifts in regulation between species. Finally, highly consistent transcriptional architecture in neocortex is correlated with resting state functional connectivity, suggesting a link between conserved gene expression and functionally relevant circuitry.

Indexed as

AdultAnimalsBrainGene Regulatory NetworksHumansMiceNerve NetTranscriptome

Identifiers

PMID26571460
PMCPMC4700510
OpenAlexW2260830658

What OpenQuestion holds

Textmetadata
LicenceTDM
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.