Publications by authors named "C P Bertozzi"
Prostate cancer is the second leading cause of male cancer death in the U.S. Current immune checkpoint inhibitor-based immunotherapies have improved survival for many malignancies; however, they have failed to prolong survival for prostate cancer.
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- * A new technique called irCLIP-RNP, which combines ultraviolet crosslinking with mass spectrometry, helps identify proteins that associate with RNA and RBPs, revealing intricate protein-RNA relationships.
- * The study also introduced a method called Re-CLIP to explore simultaneous RBP co-binding on specific RNAs, enhancing our understanding of dynamic RNA-protein interactions within cells.
Article Synopsis
- Early detection of cell type changes in genitourinary tract diseases is a clinical challenge, as current assays often lack the detailed cellular insight that invasive biopsies provide.
- Researchers studied cell-free RNA (cfRNA) from urine samples of healthy individuals and kidney stone patients, aiming to improve understanding of cell type contributions and the urine metabolome.
- The analysis revealed that urine transcriptome can discern contributions from various cell types and highlighted specific metabolic pathways linked to kidney function, indicating noninvasive urine analysis could serve as a useful tool in diagnosing related diseases.
Endocytosis and lysosomal trafficking of cell surface receptors can be triggered by endogenous ligands. Therapeutic approaches such as lysosome-targeting chimaeras (LYTACs) and cytokine receptor-targeting chimeras (KineTACs) have used this to target specific proteins for degradation by fusing modified native ligands to target binding proteins. Although powerful, these approaches can be limited by competition with native ligands and requirements for chemical modification that limit genetic encodability and can complicate manufacturing, and, more generally, there may be no native ligands that stimulate endocytosis through a given receptor.
View Article and Find Full Text PDFGlycoRNA consists of RNAs modified with secretory N-glycans that are presented on the cell surface. Although previous work supported a covalent linkage between RNA and glycans, the direct chemical nature of the RNA-glycan connection was not described. Here, we develop a sensitive and scalable protocol to detect and characterize native glycoRNAs.
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