Evidence map›Paper›PMID 27014338›Full record

ArticleFrontiers in genetics2016

A Consensus Network of Gene Regulatory Factors in the Human Frontal Lobe.

Stefano Berto, Alvaro Perdomo-Sabogal, Daniel Gerighausen, Jing Qin, Katja Nowick

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

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  7. CFrontiers in neurology · 2020
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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

5 authors at 2 institutions in 4 countries.

Stefano BertoBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University LeipzigLeipzig, Germany; Paul-Flechsig Institute for Brain Research, University of LeipzigLeipzig, Germany; Department of Neuroscience, University of Texas Southwestern Medical CenterDallas, TX, USA.
Alvaro Perdomo-SabogalBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University Leipzig Leipzig, Germany.
Daniel GerighausenBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University Leipzig Leipzig, Germany.
Jing QinDepartment of Mathematics and Computer Sciences, University of Southern DenmarkOdense, Denmark; Institute for Theoretical Chemistry, University of ViennaVienna, Austria.
Katja NowickBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University LeipzigLeipzig, Germany; Paul-Flechsig Institute for Brain Research, University of LeipzigLeipzig, Germany.
Leipzig University · DEUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive abilities, such as memory, learning, language, problem solving, and planning, involve the frontal lobe and other brain areas. Not much is known yet about the molecular basis of cognitive abilities, but it seems clear that cognitive abilities are determined by the interplay of many genes. One approach for analyzing the genetic networks involved in cognitive functions is to study the coexpression networks of genes with known importance for proper cognitive functions, such as genes that have been associated with cognitive disorders like intellectual disability (ID) or autism spectrum disorders (ASD). Because many of these genes are gene regulatory factors (GRFs) we aimed to provide insights into the gene regulatory networks active in the human frontal lobe. Using genome wide human frontal lobe expression data from 10 independent data sets, we first derived 10 individual coexpression networks for all GRFs including their potential target genes. We observed a high level of variability among these 10 independently derived networks, pointing out that relying on results from a single study can only provide limited biological insights. To instead focus on the most confident information from these 10 networks we developed a method for integrating such independently derived networks into a consensus network. This consensus network revealed robust GRF interactions that are conserved across the frontal lobes of different healthy human individuals. Within this network, we detected a strong central module that is enriched for 166 GRFs known to be involved in brain development and/or cognitive disorders. Interestingly, several hubs of the consensus network encode for GRFs that have not yet been associated with brain functions. Their central role in the network suggests them as excellent new candidates for playing an essential role in the regulatory network of the human frontal lobe, which should be investigated in future studies.

Indexed as

coexpression networkcognitive abilitiescognitive disordersconsensus networkprefrontal cortex (PFC)transcription factorweighted topological overlap network

Identifiers

PMID27014338
PMCPMC4782181
OpenAlexW2295363965

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.