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Functional analysis of a random-sequence chromosome reveals a high level and the molecular nature of transcriptional noise in yeast cells.
Gvozdenov, Zlata; Barcutean, Zeno; Struhl, Kevin.
Afiliación
  • Gvozdenov Z; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA.
  • Barcutean Z; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA.
  • Struhl K; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: kevin@hms.harvard.edu.
Mol Cell ; 83(11): 1786-1797.e5, 2023 06 01.
Article en En | MEDLINE | ID: mdl-37137302
ABSTRACT
We measure transcriptional noise in yeast by analyzing chromatin structure and transcription of an 18-kb region of DNA whose sequence was randomly generated. Nucleosomes fully occupy random-sequence DNA, but nucleosome-depleted regions (NDRs) are much less frequent, and there are fewer well-positioned nucleosomes and shorter nucleosome arrays. Steady-state levels of random-sequence RNAs are comparable to yeast mRNAs, although transcription and decay rates are higher. Transcriptional initiation from random-sequence DNA occurs at numerous sites, indicating very low intrinsic specificity of the RNA Pol II machinery. In contrast, poly(A) profiles of random-sequence RNAs are roughly comparable to those of yeast mRNAs, suggesting limited evolutionary restraints on poly(A) site choice. Random-sequence RNAs show higher cell-to-cell variability than yeast mRNAs, suggesting that functional elements limit variability. These observations indicate that transcriptional noise occurs at high levels in yeast, and they provide insight into how chromatin and transcription patterns arise from the evolved yeast genome.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Nucleosomas Tipo de estudio: Clinical_trials Idioma: En Revista: Mol Cell Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Nucleosomas Tipo de estudio: Clinical_trials Idioma: En Revista: Mol Cell Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos