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Mitigating transcription noise via protein sharing in syncytial cells.
Mayer, Alex; Li, Jiayu; McLaughlin, Grace; Gladfelter, Amy; Roper, Marcus.
Afiliação
  • Mayer A; Department of Mathematics, UCLA, Los Angeles, California. Electronic address: ajmayer95@yahoo.com.
  • Li J; Department of Mathematics, UCLA, Los Angeles, California.
  • McLaughlin G; Department of Biology, Duke University, Durham, North Carolina; Department of Biology, UNC, Chapel Hill, North Carolina.
  • Gladfelter A; Department of Biology, Duke University, Durham, North Carolina.
  • Roper M; Department of Mathematics, UCLA, Los Angeles, California; Department of Computational Medicine, UCLA, Los Angeles, California.
Biophys J ; 123(8): 968-978, 2024 Apr 16.
Article em En | MEDLINE | ID: mdl-38459697
ABSTRACT
Bursty transcription allows nuclei to concentrate the work of transcribing mRNA into short, intermittent intervals, potentially reducing transcriptional interference. However, bursts of mRNA production can increase noise in protein abundances. Here, we formulate models for gene expression in syncytia, or multinucleate cells, showing that protein abundance noise may be mitigated locally via spatial averaging of diffuse proteins. Our modeling shows a universal reduction in protein noise, which increases with the average number of nuclei per cell and persists even when the number of nuclei is itself a random variable. Experimental data comparing distributions of a cyclin mRNA that is conserved between brewer's yeast and a closely related filamentous fungus Ashbya gossypii confirm that syncytism is permissive of greater levels of transcriptional noise. Our findings suggest that division of transcriptional labor between nuclei allows syncytia to sidestep tradeoffs between efficiency and precision of gene expression.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Fúngicas / Núcleo Celular Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Fúngicas / Núcleo Celular Idioma: En Ano de publicação: 2024 Tipo de documento: Article