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Inferring the physical properties of yeast chromatin through Bayesian analysis of whole nucleus simulations.
Arbona, Jean-Michel; Herbert, Sébastien; Fabre, Emmanuelle; Zimmer, Christophe.
Afiliación
  • Arbona JM; Unité Imagerie et Modélisation, Institut Pasteur, 25 rue du Docteur Roux, 75015, Paris, France.
  • Herbert S; UMR 3691, CNRS; C3BI, USR 3756, IP CNRS, Paris, France.
  • Fabre E; Unité Imagerie et Modélisation, Institut Pasteur, 25 rue du Docteur Roux, 75015, Paris, France.
  • Zimmer C; UMR 3691, CNRS; C3BI, USR 3756, IP CNRS, Paris, France.
Genome Biol ; 18(1): 81, 2017 05 03.
Article en En | MEDLINE | ID: mdl-28468672
BACKGROUND: The structure and mechanical properties of chromatin impact DNA functions and nuclear architecture but remain poorly understood. In budding yeast, a simple polymer model with minimal sequence-specific constraints and a small number of structural parameters can explain diverse experimental data on nuclear architecture. However, how assumed chromatin properties affect model predictions was not previously systematically investigated. RESULTS: We used hundreds of dynamic chromosome simulations and Bayesian inference to determine chromatin properties consistent with an extensive dataset that includes hundreds of measurements from imaging in fixed and live cells and two Hi-C studies. We place new constraints on average chromatin fiber properties, narrowing down the chromatin compaction to ~53-65 bp/nm and persistence length to ~52-85 nm. These constraints argue against a 20-30 nm fiber as the exclusive chromatin structure in the genome. Our best model provides a much better match to experimental measurements of nuclear architecture and also recapitulates chromatin dynamics measured on multiple loci over long timescales. CONCLUSION: This work substantially improves our understanding of yeast chromatin mechanics and chromosome architecture and provides a new analytic framework to infer chromosome properties in other organisms.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Simulación por Computador / Cromatina / Núcleo Celular / Ensamble y Desensamble de Cromatina Tipo de estudio: Prognostic_studies Idioma: En Revista: Genome Biol Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2017 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Simulación por Computador / Cromatina / Núcleo Celular / Ensamble y Desensamble de Cromatina Tipo de estudio: Prognostic_studies Idioma: En Revista: Genome Biol Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2017 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido