A guide to studying 3D genome structure and dynamics in the kidney.


Journal

Nature reviews. Nephrology
ISSN: 1759-507X
Titre abrégé: Nat Rev Nephrol
Pays: England
ID NLM: 101500081

Informations de publication

Date de publication:
15 Oct 2024
Historique:
accepted: 30 08 2024
medline: 16 10 2024
pubmed: 16 10 2024
entrez: 15 10 2024
Statut: aheadofprint

Résumé

The human genome is tightly packed into the 3D environment of the cell nucleus. Rapidly evolving and sophisticated methods of mapping 3D genome architecture have shed light on fundamental principles of genome organization and gene regulation. The genome is physically organized on different scales, from individual genes to entire chromosomes. Nuclear landmarks such as the nuclear envelope and nucleoli have important roles in compartmentalizing the genome within the nucleus. Genome activity (for example, gene transcription) is also functionally partitioned within this 3D organization. Rather than being static, the 3D organization of the genome is tightly regulated over various time scales. These dynamic changes in genome structure over time represent the fourth dimension of the genome. Innovative methods have been used to map the dynamic regulation of genome structure during important cellular processes including organism development, responses to stimuli, cell division and senescence. Furthermore, disruptions to the 4D genome have been linked to various diseases, including of the kidney. As tools and approaches to studying the 4D genome become more readily available, future studies that apply these methods to study kidney biology will provide insights into kidney function in health and disease.

Identifiants

pubmed: 39406927
doi: 10.1038/s41581-024-00894-2
pii: 10.1038/s41581-024-00894-2
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. Springer Nature Limited.

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Auteurs

Brian J Beliveau (BJ)

Department of Genome Sciences, University of Washington, Seattle, WA, USA.

Shreeram Akilesh (S)

Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA. shreeram@uw.edu.

Classifications MeSH