Paolo Cifani

This study identifies PTP1B as a survival dependency in trastuzumab-resistant HER2-positive breast cancer, showing it regulates CFL1 and HSP90a abundance through dephosphorylation.

The paper identifies a MYC-USP39-SRSF1 regulatory axis in PDAC that stabilizes SRSF1 and promotes tumor progression, suggesting USP39 as a therapeutic target.

The paper identifies BAF as a barrier that restricts TREX1 access to micronuclei, explaining the need for ER-tethering to enable TREX1 entry and suppress cGAS activation.

This study shows cancer cells use macropinocytosis to take up extracellular DNA, which is then degraded to supply nucleotides, and highlights SLC29A3 as a key mediator of this process.

This study shows pancreatic cancer cells secrete keratin-19 (KRT19) without a signal peptide by entering the ER via its head domain and through secretory autophagy, enabling CXCL12 capture to exclude T cells.

The paper shows that glycolysis and lactate regulate histone H3K18 lactylation to control gene expression in retinal development and maturation.

This study determines crystal structures of HsFN3K to elucidate its substrate recognition and kinase activity, providing insights for small molecule design targeting FN3K.

This study identifies MARK2/3 as essential kinases for YAP/TAZ function in cancer and shows their inhibition can restore Hippo pathway tumor suppression.

The paper introduces ProteomeGenerator2, a tool that integrates genomic and transcriptomic data to generate proteomes including non-canonical variants, and benchmarks it using synthetic and biological data.

The paper identifies POLK's role in maintaining rRNA transcription by acting on ribosomal DNA during DNA damage, revealing its interaction with nucleolar proteins and dependence on PCNA ubiquitination and PARP1.

This paper optimizes cross-linking mass spectrometry (XL-MS) for in situ protein interaction mapping using DSSO cross-linkers, CSM score calibration, and protease combinations, improving interaction density and coverage.

ProteomeGenerator enables sample-specific proteome discovery by integrating transcriptome sequencing and high-accuracy mass spectrometry, identifying non-canonical protein isoforms and improving proteogenomic analysis.

This paper develops a high-sensitivity quantitative proteomics method using accumulated ion monitoring and automated multidimensional nano-flow chromatography, achieving sub-attomolar detection limits and accurate quantification of protein abundance and phosphorylation.

The paper discusses how high-resolution mass spectrometry and chromatography can improve proteomics for diagnosing and treating diseases, with a focus on phosphorylation analysis.

The paper investigates genetic factors contributing to primary chemoresistance in AML using targeted sequencing of 670 genes in 107 AML cases, identifying mutations and overexpressed genes but finding they only partially explain resistance.