The identification of intranuclear protein patterns reveals specific biological processes, such as DNA repair pathway choice or DNA integration. We designed and built an efficient tool that implements mathematical algorithms to detect the pattern of Polycomb Group of Proteins (PcG) in high-resolution fluorescent cell image stacks. Our image analysis enhances that the position of PcG bodies is not random but higly controlled and informative of their function in nuclear dynamics architecture.

This is poster number 2 in Poster Session

Authors:

Laura Antonelli (Institute for High-Performance Computing and Networking ICAR-CNR, Naples)

Francesco Gregoretti (Institute for High-Performance Computing and Networking ICAR-CNR, Napoli)

Chiara Lanzuolo (Institute of Cellular Biology and Neurobiology, Milano; Istituto Nazionale di Genetica Molecolare "Romeo ed Enrica Invernizzi", INGM, Milano)

Federica Lucini (Istituto Nazionale di Genetica Molecolare "Romeo ed Enrica Invernizzi", INGM, Milano)

Gennaro Oliva (Institute for High-Performance Computing and Networking ICAR-CNR, Napoli)

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