Evidence map›Paper›PMID 40520596›Full record

ArticleComputational and structural biotechnology journal2025

Evolution is in the details: Regulatory differences in modern human and Neanderthal.

Harlan R Barker, Seppo Parkkila, Martti E E Tolvanen

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. TheeLife · 2021
    Article
  4. 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

3 authors.

Harlan R BarkerFaculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
Seppo ParkkilaFaculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
Martti E E TolvanenDepartment of Computing, University of Turku, Turku 20014, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factor (TF) proteins play a critical role in the regulation of eukaryote gene expression via sequence-specific binding to genomic locations known as TF binding sites. We studied sites of genomic variation between modern human and Neanderthal promoters. We detected significant differences in the binding affinities of 110 TFs to the promoters of 75 target genes. The TFs were enriched for terms related to vision, motor neurons, homeobox, and brain, whereas the target genes and their direct interactors were enriched in terms related to autism, brain, connective tissue, trachea, prostate, skull morphology, and vision. Secondary analysis of single-cell data revealed that a subset of the identified TFs (CUX1, CUX2, ESRRG, FOXP1, FOXP2, MEF2C, POU6F2, PRRX1 and RORA) co-occur as marker genes in L4 glutamatergic neurons. The majority of these genes have known roles in autism and/or schizophrenia and are associated with human accelerated regions (elevated divergence in humans vs. other primates). Analysis of a single-nucleus dataset of cortical tissue showed that 15 of these TFs and 16 of their target genes are differentially expressed in autism vs. control, most commonly upregulated in developing neurons. Down regulation of these genes occurred in SV2C- and somatostatin-expressing interneurons, oligodendrocytes, and oligodendrocyte precursor cells. These results support the value of gene regulation studies for the evolution of human cognitive abilities and the neuropsychiatric disorders that accompany it.

Indexed as

Brain DevelopmentComparative GenomicsGene regulationGenomic VariationHuman EvolutionTFBSTranscription Factor Binding Sites

Identifiers

PMID40520596
PMCPMC12167029

What OpenQuestion holds

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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.