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Biology subjects

Guiducci, G.

Publications and source records attributed to Guiducci, G..

2 recordsLinked to original sources

TREX reveals proteins that bind to specific RNA regions in living cells

Different regions of RNA molecules can often engage in specific interactions with distinct RNA-binding proteins (RBPs), giving rise to diverse modalities of RNA regulation and function. However, there are currently no methods for unbiased identification of RBPs that interact with specific RNA regions in living cells under endogenous settings. Here, we introduce TREX (Targeted RNase H-mediated extraction of crosslinked RBPs), a highly sensitive approach for identifying proteins that directly bind to specific RNA regions in living cells. We demonstrate that TREX outperforms existing methods in identifying known interactors of U1 snRNA, and reveals endogenous region-specific interactors of NORAD lncRNA. Using TREX, we generated a comprehensive region-by-region interactome for 45S rRNA, uncovering both established and novel interactions that regulate ribosome biogenesis. With its applicability to any RNA in any cell-type, TREX is the first RNA-centric tool for unbiased positional mapping of endogenous RNA-protein interactions in living cells.

cell biology↗

SHMT1-RNA interaction dynamically regulates serine and glycine concentration in cells

Human serine hydroxymethyltransferase (SHMT) regulates the serine-glycine one carbon metabolism and plays a role in cancer metabolic reprogramming. Two SHMT isozymes are acting in the cell: SHMT1 encoding the cytoplasmic isozyme, and SHMT2 encoding the mitochondrial one. Here we present a molecular model built on experimental data reporting the interaction between SHMT1 protein and SHMT2 mRNA, recently discovered in lung cancer cells. Using a stochastic dynamic model, we show that RNA moieties dynamically regulate serine and glycine concentration, shaping the system behaviour. For the first time we observe an active functional role of the RNA in the regulation of the serine-glycine metabolism and availability, which unravels a complex layer of regulation that cancer cells exploit to fine tune amino acids availability according to their metabolic needs. The quantitative model, complemented by an experimental validation in the lung adeno-carcinoma cell line H1299, exploits RNA molecules as metabolic switches of the SHMT1 activity. Our results pave the way for the development of RNA-based molecules able to unbalance serine metabolism in cancer cells.

biochemistry↗