The polycomb group (PcG) proteins play a central role in the maintenance of a repressive state of gene expression. Recent findings demonstrate that PcG components are organized into nuclear condensates, contributing to the reshaping of chromatin architecture in physiological and pathological conditions, thus affecting the nuclear mechanics. In this context, direct stochastic optical reconstruction microscopy (dSTORM) provides an effective tool to achieve a detailed characterization of PcG condensates by visualizing them at a nanometric level. Furthermore, by analyzing dSTORM datasets with cluster analysis algorithms, quantitative information can be yielded regarding protein numbers, grouping, and spatial organization. Here, we describe how to set up a dSTORM experiment and perform the data analysis to study PcG complexes’ components in adhesion cells quantitatively.

Quantitative Analysis of PcG-Associated Condensates by Stochastic Optical Reconstruction Microscopy (STORM) / Scalisi, Silvia; Ahmad, Ali; D'Annunzio, Sarah; Rousseau, David; Zippo, Alessio. - 2655:(2023), pp. 183-200. [10.1007/978-1-0716-3143-0_14]

Quantitative Analysis of PcG-Associated Condensates by Stochastic Optical Reconstruction Microscopy (STORM)

Scalisi, Silvia;D'Annunzio, Sarah;Zippo, Alessio
2023-01-01

Abstract

The polycomb group (PcG) proteins play a central role in the maintenance of a repressive state of gene expression. Recent findings demonstrate that PcG components are organized into nuclear condensates, contributing to the reshaping of chromatin architecture in physiological and pathological conditions, thus affecting the nuclear mechanics. In this context, direct stochastic optical reconstruction microscopy (dSTORM) provides an effective tool to achieve a detailed characterization of PcG condensates by visualizing them at a nanometric level. Furthermore, by analyzing dSTORM datasets with cluster analysis algorithms, quantitative information can be yielded regarding protein numbers, grouping, and spatial organization. Here, we describe how to set up a dSTORM experiment and perform the data analysis to study PcG complexes’ components in adhesion cells quantitatively.
2023
Polycomb Group Proteins: Methods and Protocols
USA
Springer Protocols
9781071631423
9781071631430
Scalisi, Silvia; Ahmad, Ali; D'Annunzio, Sarah; Rousseau, David; Zippo, Alessio
Quantitative Analysis of PcG-Associated Condensates by Stochastic Optical Reconstruction Microscopy (STORM) / Scalisi, Silvia; Ahmad, Ali; D'Annunzio, Sarah; Rousseau, David; Zippo, Alessio. - 2655:(2023), pp. 183-200. [10.1007/978-1-0716-3143-0_14]
File in questo prodotto:
File Dimensione Formato  
Quantitative Analysis of PcG-Associated Condensates by Stochastic Optical Reconstruction Microscopy (STORM).pdf

Solo gestori archivio

Descrizione: Volume completo
Tipologia: Altro materiale allegato (Other attachments)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 9.9 MB
Formato Adobe PDF
9.9 MB Adobe PDF   Visualizza/Apri
Quantitative+Analysis+of+PcG-Associated+Condensates+by+Stochastic+Optical+Reconstruction+Microscopy+(STORM)-187-204.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 703.47 kB
Formato Adobe PDF
703.47 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/416670
Citazioni
  • ???jsp.display-item.citation.pmc??? 3
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact