Evidence map›Paper›PMID 41429956›Full record

ArticleNature ecology & evolution2026

Decoding cnidarian cell type gene regulation.

Anamaria Elek, Marta Iglesias, Lukas Mahieu, Grygoriy Zolotarov, Xavier Grau-Bové, Stein Aerts, Arnau Sebé-Pedrós

Abstract read
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In one paragraph

Article in Nature ecology & evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Anamaria Elek *Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID 0000-0002-3938-2494
Marta Iglesias *Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain. marta.iglesias@crg.eu.ORCID 0000-0003-1757-7343
Lukas MahieuLaboratory of Computational Biology, VIB Center for AI and Computational Biology, Leuven, Belgium.ORCID 0009-0002-5085-6985
Grygoriy ZolotarovCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Xavier Grau-BovéCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID 0000-0003-1978-5824
Stein AertsLaboratory of Computational Biology, VIB Center for AI and Computational Biology, Leuven, Belgium.ORCID 0000-0002-8006-0315
Arnau Sebé-PedrósCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain. arnau.sebe@crg.eu.ORCID 0000-0002-9896-9746

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 851647Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) PID2021-124757NB-I00
6 · The paper itself

Abstract

Animal cell types are defined by differential access to genomic information-a process orchestrated by the combinatorial activity of transcription factors that bind to cis-regulatory elements (CREs) to control gene expression. Changes in these gene regulatory networks (GRNs) underlie the origin and diversification of cell types, yet the regulatory logic and specific GRNs that define cell identities remain poorly resolved across the animal tree of life. Cnidarians, as early-branching metazoans, provide a critical window into the early evolution of cell type-specific genome regulation. Here we profiled chromatin accessibility in 60,000 cells from whole adults and gastrula-stage embryos of the sea anemone Nematostella vectensis. We identified 112,728 putative CREs and quantified their activity across cell types, revealing pervasive combinatorial enhancer usage and distinct promoter architectures. To decode the underlying regulatory grammar, we trained sequence-based models predicting CRE accessibility and used these models to infer cell type similarities that reflect known ontogenetic relationships. By integrating sequence motifs, transcription factor expression and CRE accessibility, we reconstructed the GRNs that define cnidarian cell types. Our results show the regulatory complexity underlying cell differentiation in a morphologically simple animal and highlight conserved principles in animal gene regulation. This work provides a foundation for comparative regulatory genomics to understand the evolutionary emergence of animal cell type diversity.

Indexed as

Gene Expression RegulationGene Regulatory NetworksSea AnemonesAnimalsTranscription FactorsTranscription Factors

Identifiers

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.