Evidence map›Paper›PMID 41126639›Full record

ReviewGenome biology and evolution2025

De Novo Gene Emergence: Summary, Classification, and Challenges of Current Methods.

Anna Grandchamp, Margaux Aubel, Lars A Eicholt, Paul Roginski, Victor Luria, Amir Karger, Elias Dohmen

Abstract readReview
In one paragraph

Review in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

7 authors.

Anna GrandchampAix Marseille University, INSERM, TAGC institute, UMR_S1090, 13288 Marseille, France.ORCID 0000-0003-3018-3138
Margaux AubelInstitute for Evolution and Biodiversity, University of Münster, Münster 48149, Germany.ORCID 0000-0003-1653-9441
Lars A EicholtInstitute for Evolution and Biodiversity, University of Münster, Münster 48149, Germany.ORCID 0000-0002-3985-3698
Paul RoginskiInstitute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette 91198, France.ORCID 0000-0003-0297-723X
Victor LuriaDepartment of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA.ORCID 0000-0003-0558-0983
Amir KargerIT-Research Computing, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-4561-3850
Elias DohmenInstitute for Evolution and Biodiversity, University of Münster, Münster 48149, Germany.ORCID 0000-0002-7203-2314

Funding

Heterogeneity of Forebrain Neural PrecursorsR01NS095654 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HAYDAR, TARIK F, SESTAN, NENAD · 2015 to 2019
$3.4M
DFG 503348080DFG BO2544-22-1EMBO 10944HFSP 2023-981550NIH HHS R01NS095654NINDS NIH HHS R01 NS095654Volkswagen Foundation 98183
6 · The paper itself

Abstract

A novel mechanism of de novo gene origination from nongenic sequences was first proposed in the early 2000s. Subsequent studies have since provided evidence of de novo gene emergence across all domains of life, revealing its occurrence to be more frequent than initially anticipated. While studies mainly agree on the general concept of de novo emergence from nongenic DNA, the exact methods and definitions for detecting de novo genes differ significantly. Here, we provide a comprehensive step-by-step description of the most commonly used methods for de novo gene detection. In addition, we address the limitations of nomenclature and detection methods and clarify some complex concepts that are sometimes misused. This review is accompanied by the publication of a de novo gene annotation format to standardize the reporting of methodology, enable reproducibility and improve the comparability of datasets.

Indexed as

Evolution, MolecularAnimalsHumansMolecular Sequence Annotationannotation formatcomparative genomicscomparative transcriptomicsde novo gene emergence

Identifiers

PMID41126639
PMCPMC12605812

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.