Search bioRxivSearch

Biology subjects

Pullara, F.

Publications and source records attributed to Pullara, F..

2 recordsLinked to original sources

Disulfide bridge formation prevents CaMKII/Calmodulin interaction in Parkinson's disease

There is increasing evidence for disordered Ca2+ signaling in dopamine neurons in Parkinsons disease (PD), and this likely involves altered Ca2+/calmodulin-dependent protein kinase II (CaMKII) function. Previous work suggests that oxidative stress - a major feature in PD pathogenesis - affects regulatory methionine residues that sustain CaMKII activity in a Ca2+/CaM-independent manner. Here, applying computational modeling, we predicted formation of a defined disulfide bridge close to the CaMKII docking site for Ca2+/CaM binding. In vitro and in vivo investigations using PD models revealed formation of a disulfide bridge and loss of the CaMKII-calmodulin interaction. Mutagenesis of the relevant cysteine residues abrogated disulfide bridge formation and recovered the CaMKII-calmodulin interaction. Importantly, dopamine neurons from post-mortem PD brain specimens also lost this regulatory protein-protein interaction, providing relevance in the human disease. This study provides novel insights into oxidative CaMKII-CaM dysfunction, which may contribute to the pathophysiology of PD.

neuroscience

A spatial analytics computational and systems biology platform predicts risk of colorectal cancer recurrence and identifies emergent spatial domain networks associated with recurrence

An unmet clinical need in solid tumor cancers is the ability to harness the intrinsic spatial information in primary tumors that can be exploited to optimize prognostics, diagnostics and therapeutic strategies for precision medicine. We have developed a transformational spatial analytics (SpAn) computational and systems biology platform that predicts clinical outcomes and captures emergent spatial biology that can potentially inform therapeutic strategies. Here we apply SpAn to primary tumor tissue samples from a cohort of 432 chemo-naive colorectal cancer (CRC) patients iteratively labeled with a highly multiplexed (hyperplexed) panel of fifty-five fluorescently tagged antibodies. SpAn predicted the 5-year risk of CRC recurrence with a mean area under the ROC curve of 88.5% (SE of 0.1%), significantly better than current state-of-the-art methods. SpAn also inferred the emergent network biology of the tumor spatial domains revealing a synergistic role of known features from CRC consensus molecular subtypes that will enhance precision medicine.

cancer biology