Evidence map›Paper›PMID 42409827›Full record

ArticleNature communications2026

Conserved and lineage-specific mechanisms drive chromatophore differentiation in reptiles.

Pierre-Yves Helleboid, Athanasia C Tzika

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Pierre-Yves HelleboidLaboratory of Artificial & Natural Evolution (LANE), Department of Genetics & Evolution, University of Geneva, Geneva, Switzerland.
Athanasia C TzikaLaboratory of Artificial & Natural Evolution (LANE), Department of Genetics & Evolution, University of Geneva, Geneva, Switzerland. athanasia.tzika@unige.ch.ORCID http://orcid.org/0000-0002-0831-5221

Funding

Fondation Ernst et Lucie Schmidheiny (Ernst and Lucie Schmidheiny Foundation) 10_2023Human Frontier Science Program (HFSP) RGP0037/2022
6 · The paper itself

Abstract

The mechanisms by which novel differentiation pathways evolve to produce new cell types are still not fully understood. Chromatophores, the pigmented cells in the skin, offer an ideal paradigm because each type independently develops from neural crest cells to produce a distinct colour using well-characterised biosynthetic pathways. Here we show, using single-cell gene expression analyses, that canonical chromatophores develop in the embryonic skin of corn snakes and bearded dragon lizards. Yet, we identify previously undescribed chromatophore subtypes in the bearded dragon. These populations co-express progenitor and mature markers and possibly contribute to embryonic skin patterning, as revealed by whole-mount in situ hybridisation. Comparative analyses uncover that while mature chromatophores show cross-species similarity reflecting shared pigmentary function, progenitor states differ in transcription factor usage, including species-specific deployment of MITF, PAX7, and TFEC. Integration with teleost and amphibian datasets confirms that diversification of pigmentation arises through distinct progenitor trajectories converging on similar mature states.

Indexed as

Cell DifferentiationChromatophoresLizardsSnakesAnimalsCell LineageGene Expression Regulation, DevelopmentalMicrophthalmia-Associated Transcription FactorSingle-Cell Gene Expression AnalysisSkinSkin PigmentationSpecies SpecificityTranscription FactorsMicrophthalmia-Associated Transcription FactorTranscription Factors

Identifiers

PMID42409827
PMCPMC13473439

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.