Evidence map›Paper›PMID 32661177›Full record

ReviewProceedings of the National Academy of Sciences of the United States of America2020

Behavior-related gene regulatory networks: A new level of organization in the brain.

Saurabh Sinha, Beryl M Jones, Ian M Traniello, Syed A Bukhari, Marc S Halfon, Hans A Hofmann, Sui Huang, Paul S Katz, Jason Keagy, Vincent J Lynch and 5 more

Abstract readReview
In one paragraph

Review in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  9. International journal of molecular sciences · 2025
    Review
  10. Article
  11. Linking individual fitness to the evolution of cognition.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  12. Article
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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

15 authors.

Saurabh SinhaDepartment of Computer Science, University of Illinois, Urbana-Champaign, IL 61801; sinhas@illinois.edu generobi@illinois.edu.ORCID 0000-0001-6033-7746
Beryl M JonesCarl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801.ORCID 0000-0003-2925-0807
Ian M TranielloCarl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801.
Syed A BukhariCarl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801.
Marc S HalfonDepartment of Biochemistry, University at Buffalo-State University of New York, Buffalo, NY 14203.ORCID 0000-0002-4149-2705
Hans A HofmannDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78712.
Sui HuangInstitute for Systems Biology, Seattle, WA 98109.ORCID 0000-0002-3545-4665
Paul S KatzDepartment of Biology, University of Massachusetts, Amherst, MA 01003.
Jason KeagyDepartment of Evolution, Ecology, and Behavior, School of Integrative Biology, University of Illinois, Urbana-Champaign, IL 61801.ORCID 0000-0003-1235-4837
Vincent J LynchDepartment of Biological Sciences, University at Buffalo-State University of New York, Buffalo, NY 14260.
Marla B SokolowskiDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada.ORCID 0000-0002-7462-8007
Lisa J StubbsCarl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801.
Shayan Tabe-BordbarDepartment of Computer Science, University of Illinois, Urbana-Champaign, IL 61801.ORCID 0000-0003-0043-7133
Mariana F WolfnerDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14850.ORCID 0000-0003-2701-9505
Gene E RobinsonCarl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801; sinhas@illinois.edu generobi@illinois.edu.ORCID 0000-0003-4828-4068

Funding

Quantitative Regulatory Genomics: Networks, CIS-Regulatorycodes, and Phenotypic VariationR35GM131819 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SINHA, SAURABH · 2019 to 2023
$1.8M
Quantitative Modeling of Sequence-to-Expression RelationshipR01GM114341 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SINHA, SAURABH · 2015 to 2018
$1.0M
6 · The paper itself

Abstract

Neuronal networks are the standard heuristic model today for describing brain activity associated with animal behavior. Recent studies have revealed an extensive role for a completely distinct layer of networked activities in the brain-the gene regulatory network (GRN)-that orchestrates expression levels of hundreds to thousands of genes in a behavior-related manner. We examine emerging insights into the relationships between these two types of networks and discuss their interplay in spatial as well as temporal dimensions, across multiple scales of organization. We discuss properties expected of behavior-related GRNs by drawing inspiration from the rich literature on GRNs related to animal development, comparing and contrasting these two broad classes of GRNs as they relate to their respective phenotypic manifestations. Developmental GRNs also represent a third layer of network biology, playing out over a third timescale, which is believed to play a crucial mediatory role between neuronal networks and behavioral GRNs. We end with a special emphasis on social behavior, discuss whether unique GRN organization and

Indexed as

BehaviorGene Regulatory NetworksAnimalsBrainGene Expression Regulation, DevelopmentalHumansbehaviordevelopmentnetwork

Identifiers

PMID32661177
PMCPMC7519311

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.