Evidence map›Paper›PMID 40659874›Full record

ArticleNature ecology & evolution2025

Gene regulatory networks and essential transcription factors for de novo-originated genes.

Junhui Peng, Bing-Jun Wang, Nicolas Svetec, Li Zhao

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
    Review
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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

4 authors.

Junhui Peng *Laboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0000-0003-2855-2299
Bing-Jun Wang *Laboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0009-0006-8025-612X
Nicolas SvetecLaboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY, USA. nsvetec@rockefeller.edu.ORCID http://orcid.org/0000-0001-9617-2752
Li ZhaoLaboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY, USA. lzhao@rockefeller.edu.ORCID http://orcid.org/0000-0001-6776-1996

Funding

The genetic and epigenetic mechanisms of phenotypic innovationhttps://apps.era.nih.gov/gm/reportCheckList.do?applicationID=9798249R35GM133780 · NIGMS · ROCKEFELLER UNIVERSITY · PI Li Zhao · 2019 to 2026
$3.5M
NIGMS NIH HHS R35 GM133780U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM133780
6 · The paper itself

Abstract

The regulation of gene expression is crucial for the functional integration of evolutionarily young genes, particularly those that emerge de novo. However, the regulatory programmes governing the expression of de novo genes remain unknown. To address this, we applied computational methods to single-cell RNA sequencing data, identifying key transcription factors probably instrumental in regulating de novo genes. We found that transcription factors do not have the same propensity for regulating de novo genes; some transcription factors regulate more de novo genes than others. Leveraging genetic and genomic tools in Drosophila, we further examined the role of two key transcription factors, achintya and vismay, and the regulatory architecture of new genes. Our findings identify key transcription factors associated with the expression of de novo genes and highlight how transcription factors, and possibly their duplications, are linked to the expressional regulation of de novo genes.

Indexed as

DrosophilaDrosophila melanogasterDrosophila ProteinsEvolution, MolecularGene Expression RegulationGene Regulatory NetworksTranscription FactorsAnimalsDrosophila ProteinsTranscription Factors

Identifiers

PMID40659874
PMCPMC12951380

What OpenQuestion holds

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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.