Publications by authors named "M Pacelli"

Background: Mature T-cell neoplasms arise from the neoplastic transformation of a single T lymphocyte, and all cells in a neoplastic clone share the same V segment in the beta chain of the T-cell receptor (TCR). These segments may represent an innovative target for the development of targeted therapies.

Methods: A specific V segment of the TCR beta chain (TRBV5-1) was analyzed using bioinformatic tools, identifying three potential antigenic peptides.

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Background: Cancer among young adults (18-39 years) is relatively rare, but remains a leading cause of disability, morbidity, and mortality. Identifying strategies to support young adults' health following a diagnosis of cancer is important. Yoga may enhance health and could be delivered by videoconference.

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AlphaFold and similar groundbreaking, AI-based tools, have revolutionized the field of structural bioinformatics, with their remarkable accuracy in ab-initio protein structure prediction. This success has catalyzed the development of new software and pipelines aimed at incorporating AlphaFold's predictions, often focusing on addressing the algorithm's remaining challenges. Here, we present the current landscape of structural bioinformatics shaped by AlphaFold, and discuss how the field is dynamically responding to this revolution, with new software, methods, and pipelines.

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Poly(A) tails protect RNAs from degradation and their deadenylation rates determine RNA stability. Although poly(A) tails are generated in the nucleus, deadenylation of tails has mostly been investigated within the cytoplasm. Here, we combined long-read sequencing with metabolic labeling, splicing inhibition and cell fractionation experiments to quantify, separately, the genesis and trimming of nuclear and cytoplasmic tails and .

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This paper describes a study performed in the frame of Wearables project and reports preliminary results. Objective of the study was the implementation of an integrated service finalized to increase employees' well-being through the investigation on the correlation between daily working activity and the observed physical parameters. The project monitored 28 volunteers employed in the field of waste collection (at the Amey's contract with Wolverhampton City Council), for a total of 275 data acquisition sessions.

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