Andrea Fossati

This study identifies outer membrane porins as phage-specific determinants of mycobacterial susceptibility through a CRISPRi screen in Mycobacterium smegmatis.

The paper identifies a conserved viral protein module that displaces host RNA polymerase sigma factors to control transcription in mycobacteria.

The paper identifies a lipid-based compartment in early phage infection that protects phage DNA and supports early transcription and translation.

The paper constructs a tissue-specific protein interaction atlas using proteomic data from 11 human tissues, identifying key drivers of inter-tissue variation and prioritizing disease genes in brain disorders.

DIP-MS resolves protein complex isoforms using deep learning and mass spectrometry, revealing new subunits in human prefoldin complexes.

This study uses co-fractionation mass spectrometry to map host-pathogen and pathogen-pathogen interactions in jumbophages infecting Pseudomonas aeruginosa, revealing over 6000 interactions and novel viral components.

The paper systematically analyzes proteomic and genomic data of SARS-CoV-2 variants to identify how mutations affect viral gene expression, host interactions, and immune evasion.

The paper identifies hemidesmosome-containing structures that mediate mechanotransduction to regulate ECM homeostasis and promote longevity in C. elegans.

The paper develops an experimental strategy to link phosphorylation events with protein complex formation, revealing PTPN14's role in regulating YAP1's interaction with LATS1/2 kinases.

The paper presents a rapid workflow combining experimental and computational methods to profile protein complex re-organization in cellular states, showing distinct changes during differentiation and macrophage stimulation.

The paper develops a proteomics workflow using orthogonal proteases to generate spectral libraries, enabling comprehensive plasma proteome analysis and identifying TB-related proteins.

PCfun annotates protein complex function using natural language processing and machine learning, integrating word embeddings from PubMed Central articles with supervised and unsupervised methods.

The paper introduces PCprophet, a computational framework for identifying and analyzing protein complexes from co-fractionation mass spectrometry data across conditions.