This is a cache of https://www.uibk.ac.at/en/disc/events/discourse-finotello/. It is a snapshot of the page at 2024-11-22T20:41:50.562+0100.
DiSCourse Seminar - 05 May 2023 – Universität Innsbruck

DiSCourse Seminar with Francesca Finotello

5 May 2023, 12:00 (CEST), hybrid
Digital Science Center, Innrain 15, 1st floor, Open Space Area or Big Blue Button

DiSCourse - The Digital Science Seminar Series on
Charting Tissue Complexity Through Transcriptomics Deconvolution

The investigation of the cellular organization of tissues is key to understand mechanisms that underlie tissue function and its disruption during disease. Deconvolution is a computational technique for the quantification of the cellular composition of tissues profiled with transcriptomics technologies. Recent deconvolution methods can be trained using single-cell transcriptomics data to learn the transcriptional “fingerprints” of any cell type, thereby possibly extending deconvolution to any tissue, disease context, and organism of interest. These approaches can be now also applied to spatial transcriptomics data, revealing the architecture of tissues and the spatial distribution of their cellular constituents. In this talk, I will show how different types of transcriptomics data can be jointly analyzed with deconvolution techniques to chart the tissue organization in health and disease. A major focus will be on methodologies to characterize the tumor microenvironment and especially tumor-infiltrating immune cells, which are our inner line of defense against cancer.

Francesca Finotello, University of Innsbruck, DiSC & Department of Molecular Biology

Francesca Finotello is an Assistant Professor at the Department of Molecular Biology and Digital Science Center (DiSC), where she leads the Computational Biomedicine Group. Her research focuses on the bioinformatic analysis of bulk and single-cell multiomics data and on the development of computational methods to inform precision and personalized medicine.

Link to Big Blue Button

Invitation as pdf

Nach oben scrollen