Gian Gaetano Tartaglia

PRALINE is a database that catalogs proteins and RNAs in biological condensates, their interactions, and the impact of single-nucleotide variants on condensate properties.

The paper identifies host proteins interacting with SARS-CoV-2 RNA ends, highlighting pseudouridine synthase PUS7 and post-transcriptional modifications in viral RNA structure and function.

The paper develops an in vitro protocol to generate human Pharyngeal Endoderm cells and uses multi-omics analysis to reveal Retinoic Acid's role in their epigenetic and transcriptional development.

This study identifies SAM68 as a regulator of cardiomyocyte differentiation by enhancing Gata4 translation through RNA-binding in mouse embryonic stem cells.

The paper uses machine learning to analyze genotyping data and identifies interactions between SNVs in late onset Alzheimer's disease, highlighting specific genomic profiles and interactions involving APOE and other genes.

The paper investigates the structural properties of proteins and RNAs in stress granules and processing bodies, finding that intrinsic disorder and single-stranded regions mediate dynamic interactions.

The paper analyzes two deep mutational scanning experiments to show that protein aggregation affects molecular evolution differently in distinct cellular contexts.

This paper demonstrates that TDP-43 paralogs in the killifish N. furzeri form amyloid-like aggregates during ageing, suggesting the fish as a model for TDP-43-related neurodegenerative diseases.

This study shows TGS1 is essential for snRNA 3' end processing and its loss causes neurodegeneration, which can be mitigated by human TGS1 expression in model organisms.

The paper analyzes the structural elements of the SARS-CoV-2 genome and predicts human protein interactions, identifying conserved regions and potential host factors involved in viral replication.

The paper investigates how Prion-Like Domains (PrLDs) and RNA-Binding Domains (RBDs) contribute to biomolecular condensation in human and yeast proteomes.

This paper presents a high-sensitivity targeted method to measure pri-miRNA processing efficiency in clinical samples and identifies 24 microRNAs with significant changes in processing efficiency between normal liver and hepatocellular carcinoma.

This study systematically mutates the prion-like domain of TDP-43 to determine how sequence changes affect cellular toxicity and aggregation, finding that increased aggregation reduces toxicity.

CROSSalive predicts RNA secondary structure in vivo and assesses the impact of m6A methylation using icSHAPE data and a trained model.

The paper introduces a graph-theoretical framework to assess protein thermal stability using structural data, achieving 76% accuracy in distinguishing thermostable from mesostable proteins.

The paper introduces CROSSalign, a method for RNA secondary structure prediction and comparison, showing it outperforms covariance models in identifying conserved structures in lncRNAs and viruses.

The paper identifies scaffolding RNAs and a new player, TRA2A, in Fragile X-associated Tremor/Ataxia Syndrome by studying RNA-RBP interactions and their aggregation.

The paper investigates how RNA structure influences protein interactions, showing that structured RNA competes with protein binding and alters interaction networks.

This study shows IMP1 regulates intestinal epithelial repair after irradiation and colitis by modulating autophagy through direct binding to autophagy transcripts.