Evidence map›Paper›PMID 41457100›Full record

ArticleScientific reports2025

Controllability of the gene regulatory network in zebrafish embryogenesis.

Jiyeon Park, Kanghee Cho, Jihwan Lee, Junil Kim

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Review
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.

Jiyeon ParkDepartment of Bioinformatics, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul, 06978, Republic of Korea.
Kanghee ChoDepartment of Bioinformatics, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul, 06978, Republic of Korea.
Jihwan LeeSchool of Systems Biomedical Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul, 06978, Republic of Korea.
Junil KimDepartment of Bioinformatics, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul, 06978, Republic of Korea. junilkim@ssu.ac.kr.

Funding

Soongsil University 202110001219
6 · The paper itself

Abstract

The development in multicellular organisms is governed by gene regulatory networks (GRNs), which are often difficult to control by the theory of network controllability. While transcription factors (TFs) have been studied, the controllability of the entire developmental process, from early embryo to terminal differentiation, remains unclear. To address this, we reconstructed inferred GRNs across developmental stages using single-cell RNA sequencing data from zebrafish embryogenesis. We inferred networks for both trunk and branch trajectories, and calculated the fraction of driver nodes for each. About 80% of nodes were driver nodes in most networks. Notably, the fraction of driver nodes was significantly lower at the final developmental phase than in earlier phases, suggesting that inferred GRNs become more controllable as development progresses. Furthermore, we identified critical TFs-defined as transcription factors originating from critical edges-that may highlight key regulatory points.

Indexed as

Embryonic DevelopmentGene Expression Regulation, DevelopmentalGene Regulatory NetworksZebrafishAnimalsEmbryo, NonmammalianSingle-Cell AnalysisTranscription FactorsTranscription FactorsGene regulatory networkNetwork controllabilitySingle cell RNAseqZebrafish embryogenesis

Identifiers

PMID41457100
PMCPMC12852106

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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.