Deciphering global transcriptional dynamics coordinated by gene-gene regulatory interactions using single-cell data
Identification
- Clé publique
- radar:r-8078af21330954556bbea45a66bc407c
- Auteurs
- Liying Zhou · Songhao Luo · Zhiwei Huang · Zhenquan Zhang · Zihao Wang · Jiajun Zhang
- Année déclarée
- 2026
- Langue déclarée
- en
- Type source
- article
- Première détection
- 2026-11-14T02:03:31.399789+00:00
- Dernière observation des métadonnées
- 2026-11-14T02:03:31.399789+00:00
- Dernière vérification HTTP
- Non effectuée
Institutions déclarées par la source
Sun Yat-sen University · Guangdong Province Key Laboratory of Computational Science · University of California, Irvine · Guangdong University of Technology
Pays d’affiliation déclarés
CN · US
Résumé documentaire — langue originale
Transcription is an inherently dynamic and stochastic process that often occurs in bursts, governed by gene-gene regulatory interactions and thereby driving cell-to-cell heterogeneity. However, a genome-wide, mechanistic understanding of how regulatory networks globally shape transcriptional bursting dynamics remains lacking. Here, we present BurstLink, an interpretable and tractable statistical-mechanistic framework that simultaneously infers coupled regulatory interactions and transcriptional bursting kinetics at the genome-wide scale from single-cell data. BurstLink introduces reweighted mutual information to quantify regulatory strength as network edge weights, while jointly inferring regulatory directionality and interaction type for each gene pair within a unified mechanistic model of transcriptional bursting. Applied to mouse embryonic fibroblasts data, BurstLink reveals several genome-wide regulatory mechanisms on transcriptional bursting: downstream target genes exhibit higher burst frequency and gene-expression variability than upstream transcription factor genes; stronger transcription factor binding affinity is associated with lower burst frequency and higher burst size of target genes. Notably, positive regulation primarily enhances the burst frequency and gene-expression variability in target genes, in contrast to negative regulation. In summary, BurstLink deciphers multiple general principles of global transcriptional dynamics, providing novel biological insights into cell fate decisions.
Identifiants
- OPENALEX
- https://openalex.org/W7172303703
- DOI
- 10.1038/s44320-026-00235-4
- PMID
- https://pubmed.ncbi.nlm.nih.gov/42547851
- PMCID
- https://www.ncbi.nlm.nih.gov/pmc/articles/13728105
Repères documentaires
- Famille documentaire
- article
- Types déclarés par les sources
- article
- Éditeurs
- Springer Nature
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Sources
OpenAlex · Document 1
Citer cette référence
Liying Zhou; Songhao Luo; Zhiwei Huang; Zhenquan Zhang; Zihao Wang; Jiajun Zhang. Deciphering global transcriptional dynamics coordinated by gene-gene regulatory interactions using single-cell data. 2026. https://doi.org/10.1038/s44320-026-00235-4
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- APA
- Liying Zhou; Songhao Luo; Zhiwei Huang; Zhenquan Zhang; Zihao Wang; Jiajun Zhang. (2026). Deciphering global transcriptional dynamics coordinated by gene-gene regulatory interactions using single-cell data. https://doi.org/10.1038/s44320-026-00235-4
- Chicago
- Liying Zhou; Songhao Luo; Zhiwei Huang; Zhenquan Zhang; Zihao Wang; Jiajun Zhang. Deciphering global transcriptional dynamics coordinated by gene-gene regulatory interactions using single-cell data. 2026. https://doi.org/10.1038/s44320-026-00235-4
- ISO 690
- Liying Zhou; Songhao Luo; Zhiwei Huang; Zhenquan Zhang; Zihao Wang; Jiajun Zhang. Deciphering global transcriptional dynamics coordinated by gene-gene regulatory interactions using single-cell data. 2026. https://doi.org/10.1038/s44320-026-00235-4
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Source bibliographique / publication d’origine · https://doi.org/10.1038/s44320-026-00235-4
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