The development of new experimental technologies is opening the way to a deeper investigation of the three-dimensional organization of chromosomes inside the cell nucleus. Genome architecture is linked to vital functional purposes, yet a full comprehension of the mechanisms behind DNA folding is still far from being accomplished. Theoretical approaches based on polymer physics have been employed to understand the complexity of chromatin architecture data and to unveil the basic mechanisms shaping its structure. Here, we review some recent advances in the field to discuss how Polymer Physics, combined with numerical Molecular Dynamics simulation and Machine Learning based inference, can capture important aspects of genome organization, including the description of tissue-specific structural rearrangements, the detection of novel, regulatory-linked architectural elements and the structural variability of chromatin at the single-cell level.
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August 2021
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Glycoproteomics is the tool of choice in glycobiology to decipher the role of protein glycosylation in health and disease in a system-wide context for integration into multi-omics studies. For a hitchhiker's guide to glcoproteomics, see the review by Oliveira and colleagues (pp. 1623–1642). Cover artwork provided by Daniel Kolarich.
Review Article|
July 20 2021
Polymer models are a versatile tool to study chromatin 3D organization
Andrea Esposito;
Andrea Esposito
1Dipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
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Simona Bianco;
Simona Bianco
1Dipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
2Berlin Institute for Medical Systems Biology, Max-Delbrück Centre (MDC) for Molecular Medicine, Berlin, Germany
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Luca Fiorillo;
Luca Fiorillo
1Dipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
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Mattia Conte;
Mattia Conte
1Dipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
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Alex Abraham;
Alex Abraham
1Dipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
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Francesco Musella;
Francesco Musella
1Dipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
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Mario Nicodemi;
Mario Nicodemi
2Berlin Institute for Medical Systems Biology, Max-Delbrück Centre (MDC) for Molecular Medicine, Berlin, Germany
3Dipartimento di Fisica, Università di Napoli Federico II, INFN Napoli, CNR-SPIN, Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
4Berlin Institute of Health (BIH), MDC-Berlin, Germany
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Antonella Prisco;
Antonella Prisco
5CNR-IGB, Naples, Italy
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Andrea M. Chiariello
1Dipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
Correspondence: Andrea M. Chiariello (chiariello@na.infn.it)
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Publisher: Portland Press Ltd
Received:
April 06 2021
Revision Received:
June 21 2021
Accepted:
June 25 2021
Online ISSN: 1470-8752
Print ISSN: 0300-5127
© 2021 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society
2021
Biochem Soc Trans (2021) 49 (4): 1675–1684.
Article history
Received:
April 06 2021
Revision Received:
June 21 2021
Accepted:
June 25 2021
Citation
Andrea Esposito, Simona Bianco, Luca Fiorillo, Mattia Conte, Alex Abraham, Francesco Musella, Mario Nicodemi, Antonella Prisco, Andrea M. Chiariello; Polymer models are a versatile tool to study chromatin 3D organization. Biochem Soc Trans 27 August 2021; 49 (4): 1675–1684. doi: https://doi.org/10.1042/BST20201004
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