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

Chapter
Publication Date:
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.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Cellular and subcellular segmentation; Fluorescence microscopy; Image processing and analysis; Nuclear organization; PcG staining; Unsupervised classification algorithm; Variational segmentation model
List of contributors:
Gregoretti, Francesco; Antonelli, Laura; Lanzuolo, Chiara
Authors of the University:
ANTONELLI LAURA
GREGORETTI FRANCESCO
LANZUOLO CHIARA
Handle:
https://iris.cnr.it/handle/20.500.14243/460326
Book title:
Polycomb Group Proteins
Published in:
METHODS IN MOLECULAR BIOLOGY (CLIFTON N.J.)
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85159768544&origin=inward
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