Using the simple telegraph model to decipher transcriptional burst regulation across genome-wide data.

). Their interdependent dysregulation accelerated HCM. This study establishes the simple telegraph model as a scalable framework linking transcriptional burst dynamics to cell fate and pathology.

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Publication Details

Journal
PubMed
Published
2026-08-21
DOI
https://doi.org/10.1016/j.isci.2026.117127
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Using the simple telegraph model to decipher transcriptional burst regulation across genome-wide data.

Chengkai Yang, Sijia Fang, Guozhi Jiang, Yu Liao et al.
PubMed
Gene expression and cancer classification
article

Using the simple telegraph model to decipher transcriptional burst regulation across genome-wide data.

Chengkai Yang, Sijia Fang, Guozhi Jiang, Yu Liao, Hongkun Zhang, Liang Chen, Yuwen Wu, Jianshe Yu, Yueheng Wu, Feng Jiao
article en

Abstract

). Their interdependent dysregulation accelerated HCM. This study establishes the simple telegraph model as a scalable framework linking transcriptional burst dynamics to cell fate and pathology.

PubMedVol. 29(8)
Sun Yat-sen University (CN), Guangzhou University (CN), Shenzhen Bay Laboratory (CN), Southern Medical University (CN)
Openalex Percentile: Top 19%
Gene expression and cancer classification
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Using the simple telegraph model to decipher transcriptional burst regulation across genome-wide data. — Chengkai Yang, Sijia Fang, et al. · PubMed (2026) | TGRS Research Map | TGRS