Quantification of transcription noise’s impact on cell fate commitment with digital resolutions
| Autor: | Feng Jiao, Moxun Tang |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Bioinformatics. 38:3062-3069 |
| ISSN: | 1367-4811 1367-4803 |
| Popis: | Motivation Gene transcription is a random and noisy process. Tremendous efforts in single-cell studies have been mapping transcription noises to phenotypic variabilities between isogenic cells. However, the exact role of the noise in cell fate commitment remains largely descriptive or even controversial. Results For a specified cell fate, we define the jumping digit I of a critical gene as a statistical threshold that a single cell has approximately an equal chance to commit the fate as to have at least I transcripts of the gene. When the transcription is perturbed by a noise enhancer without changing the basal transcription level E0, we find a crossing digit k such that the noise catalyzes cell fate change when I > k while stabilizes the current state when I Availability and implementation The jumping digit I may provide a novel probe to explore the phenotypic consequences of transcription noise in cell functions. Code is freely available at http://cam.gzhu.edu.cn/info/1014/1223.htm. The data underlying this article are available in the article and in its online supplementary material. Supplementary information Supplementary data are available at Bioinformatics online. |
| Databáze: | OpenAIRE |
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