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Segmentation, 3D Reconstruction, and Analysis of PcG Proteins in Fluorescence Microscopy Images in Different Cell Culture Conditions.
Gregoretti, Francesco; Lucini, Federica; Cesarini, Elisa; Oliva, Gennaro; Lanzuolo, Chiara; Antonelli, Laura.
Affiliation
  • Gregoretti F; Institute for High Performance Computing and Networking, ICAR-CNR, Naples, Italy. francesco.gregoretti@icar.cnr.it.
  • Lucini F; Istituto Nazionale di Genetica Molecolare "Romeo ed Enrica Invernizzi", Milan, Italy.
  • Cesarini E; IFOM, Institute Foundation of Molecular Oncology, Milan, Italy.
  • Oliva G; Institute of Biochemistry and Cellular Biology, IBBC-CNR, Rome, Italy.
  • Lanzuolo C; Institute for High Performance Computing and Networking, ICAR-CNR, Naples, Italy.
  • Antonelli L; Istituto Nazionale di Genetica Molecolare "Romeo ed Enrica Invernizzi", Milan, Italy.
Methods Mol Biol ; 2655: 147-169, 2023.
Article in En | MEDLINE | ID: mdl-37212995
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Nucleus / Imaging, Three-Dimensional Type of study: Prognostic_studies Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Nucleus / Imaging, Three-Dimensional Type of study: Prognostic_studies Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Type: Article Affiliation country: Italy