Polycomb-group (PcG) of proteins are evolutionarily conserved transcription factors necessary for the regulation of gene expression during the development and the safeguard of cell identity in adulthood. In the nucleus, they form aggregates whose positioning and dimension are fundamental for their function. We present an algorithm, and its MATLAB implementation, based on mathematical methods to detect and analyze PcG proteins in fluorescence cell image z-stacks. Our algorithm provides a method to measure the number, the size, and the relative positioning of the PcG bodies in the nucleus for a better understanding of their spatial distribution, and thus of their role for a correct genome conformation and function.

Segmentation, 3D Reconstruction, and Analysis of PcG Proteins in Fluorescence Microscopy Images in Different Cell Culture Conditions

Gregoretti;Francesco;Lanzuolo;Chiara;Antonelli;Laura
2023

Abstract

Polycomb-group (PcG) of proteins are evolutionarily conserved transcription factors necessary for the regulation of gene expression during the development and the safeguard of cell identity in adulthood. In the nucleus, they form aggregates whose positioning and dimension are fundamental for their function. We present an algorithm, and its MATLAB implementation, based on mathematical methods to detect and analyze PcG proteins in fluorescence cell image z-stacks. Our algorithm provides a method to measure the number, the size, and the relative positioning of the PcG bodies in the nucleus for a better understanding of their spatial distribution, and thus of their role for a correct genome conformation and function.
2023
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Inglese
Chiara Lanzuolo, Federica Marasca
Polycomb Group Proteins
147
169
22
978-1-0716-3143-0
https://www.scopus.com/record/display.uri?eid=2-s2.0-85159768544&origin=inward
Humana Press Inc.
Totowa
STATI UNITI D'AMERICA
Cellular and subcellular segmentation
Fluorescence microscopy; Image processing and analysis; Nuclear organization; PcG staining; Unsupervised classification algorithm; Variational segmentation model
12
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
restricted
Gregoretti, Francesco; Gregoretti, Francesco; Lucini, ; Federica, ; Cesarini, ; Elisa, ; Oliva, ; Gennaro, ; Lanzuolo, Chiara; Lanzuolo, Chiara; Anton...espandi
info:eu-repo/semantics/bookPart
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Descrizione: Segmentation, 3D Reconstruction, and Analysis of PcG Proteins in Fluorescence Microscopy Images in Different Cell Culture Conditions
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/460326
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