MYC-dependent dynamics of transcriptional regulation

26th November 2018.  
Mattia Pelizzola, Italian Institute of Technology, Milan

On the 26th of November 2018 Mattia Pelizzola of the Italian Institute of Technology branch in Milan will give a seminar entitled MYC-dependent dynamics of transcriptional regulation at 2.00 pm in the College lecture theatre.  In his talk M Pelizzola will discuss extensive studies from his laboratory that have enabled in depth understanding of the complex gene dynamics and regulation enabled by the transcription factor Myc, the product of the MYC proto-oncogene and a master regulator of cell proliferation.  All College students are invited to attend, especially those reading Medicine, Biology, Biotechnology and Pharmaceutical Sciences. The poster of the lecture can be downloaded here.

Overexpression of the MYC transcription factor causes its widespread interaction with regulatory elements in the genome but leads to the up- and down-regulation of discrete sets of genes. The molecular determinants of these selective transcriptional responses remain elusive. Here, we present an integrated time-course analysis of RNA and RNAPII dynamics following MYC activation in proliferating mouse fibroblasts, based on chromatin immunoprecipitation, metabolic labeling of newly synthesized RNA, extensive sequencing, and mathematical modeling. Altogether, our results shed light on how overexpressed MYC alters the various phases of the RNAPII cycle, and leads to pervasive post-transcriptional regulation.

Mattia Pelizzola graduated in Biotechnology in 2001 at the Milano-Bicocca University. Following a PhD in computational biology, he spent 4 years in the States for two postdocs, first at the Yale University, and later on at the Salk Institute. In 2011 he moved back to Milan to start his own group at the Center for Genomic Science of the Italian Institute of Technology, located within the IFOM-IEO campus. His research currently focuses on the characterization of epigenomics and epitranscriptional determinants of RNA dynamics, and how these are altered in disease conditions. His group employes an interdisciplinary approach, which combines experimental and computational methods, including metabolic labelling of nascent RNA, epitranscriptome profiling and their integrative analysis through mathematical modelling.

[1] De Pretis et al. Genome Res 27:1658 (2017).

Fluorescence in situ hybridisation with a Myc gene probe demonstrates amplification of the Myc gene in cancer cells.

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