Biotechnology and Biosciences Seminar - giovedì, 29 settembre 2022, ore 16:30, edificio BIOS (ex U3), aula U3-04/ Webex
Riccardo L. Rossi - Research Scientist & Facility Manager, Bioinformatics. National Institute of Molecular Genetics "Romeo ed Enrica Invernizzi" (INGM)
Abstract
Modern techniques for transcriptional profiling have leveraged the possibility of gathering increasing amounts of data, but this does not always equate to an efficient discovery of new molecular actors and a deeper understanding of the underlying biological processes.
While showing some of my recent works, I'm going to present some cases focusing on recent transcriptomics experiments in which the traditional data reduction approaches fail in gathering relevant information and I will show how both knowledge-driven subtractive approaches as well as combinatorial addition can be useful in extracting hidden patterns or results. In the first case, a traditional bulk RNA sequencing on Interferon-treated hepatoma cell lines was stalled under the pressure of hard thresholds imposed by the method itself, and it was possible to uncover novel Interferon Stimulated Genes (ISGs) only combining correlation networks with gene ontologies in a reversed way. In the second case I will show that for biomarker signatures the whole can be greater than the sum of its parts: we developed a combinatorial approach to rank biomarkers performance and we applied it to single-cell RNA sequencing gene markers, forging an improved method for gene signatures optimization.
LINK per partecipare al seminario: https://unimib.webex.com/unimib-it/j.php?MTID=mdcd3eaa24bbb1625cf366ef2fbd2de97
password: day29 (32929 da telefoni)
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