Publications by authors named "Filippo Pullara"

Ca/calmodulin-dependent protein kinase II α (CaMKIIα) signaling in the brain plays a critical role in regulating neuronal Ca homeostasis. Its dysfunctional activity is associated with various neurological and neurodegenerative disorders, including Parkinson's disease (PD). Using computational modeling analysis, we predicted that, two essential cysteine residues contained in CaMKIIα, Cys30 and Cys289, may undergo redox modifications impacting the proper functioning of the CaMKIIα docking site for Ca/CaM, thus impeding the formation of the CaMKIIα:Ca/CaM complex, essential for a proper modulation of CaMKIIα kinase activity.

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Tumors are dynamic ecosystems comprising localized niches (microdomains), possessing distinct compositions and spatial configurations of cancer and non-cancer cell populations. Microdomain-specific network signaling coevolves with a continuum of cell states and functional plasticity associated with disease progression and therapeutic responses. We present LEAPH, an unsupervised machine learning algorithm for identifying cell phenotypes, which applies recursive steps of probabilistic clustering and spatial regularization to derive functional phenotypes (FPs) along a continuum.

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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. Here, we develop a transformational spatial analytics computational and systems biology platform (SpAn) that predicts clinical outcomes and captures emergent spatial biology that can potentially inform therapeutic strategies. We apply SpAn to primary tumor tissue samples from a cohort of 432 chemo-naïve colorectal cancer (CRC) patients iteratively labeled with a highly multiplexed (hyperplexed) panel of 55 fluorescently tagged antibodies.

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Pathologists are adopting whole slide images (WSIs) for diagnosis, thanks to recent FDA approval of WSI systems as class II medical devices. In response to new market forces and recent technology advances outside of pathology, a new field of computational pathology has emerged that applies artificial intelligence (AI) and machine learning algorithms to WSIs. Computational pathology has great potential for augmenting pathologists' accuracy and efficiency, but there are important concerns regarding trust of AI due to the opaque, black-box nature of most AI algorithms.

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Calcium/calmodulin-dependent protein kinase II is an enzyme involved in many different functions, including the so-called long-term potentiation, a mechanism that strengthens synapses in a persistent mode and is believed to be a basic cellular mechanism for memory formation. Here we study the conformational changes of the enzyme due to phosphorylation of some key residues that are believed to drive the transition from an inhibited to an active state; it is this active state the one associated with long-term potentiation. We found that the conformational changes could be explained in terms of three charged regions in the three main subdomains of the enzyme: the hub, linker, and kinase.

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Notwithstanding numerous published structures of RNA Polymerase II (Pol II), structural details of Pol II engaging a complete nucleic acid scaffold have been lacking. Here, we report the structures of TFIIF-stabilized transcribing Pol II complexes, revealing the upstream duplex and full transcription bubble. The upstream duplex lies over a wedge-shaped loop from Rpb2 that engages its minor groove, providing part of the structural framework for DNA tracking during elongation.

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Activation of Wnt/β-catenin signaling during liver regeneration (LR) after partial hepatectomy (PH) is observed in several species. However, how this pathway is turned off when hepatocyte proliferation is no longer required is unknown. We assessed LR in liver-specific knockouts of Wntless (Wls-LKO), a protein required for Wnt secretion from a cell.

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Expression of recombinant proteins in bacterial or eukaryotic systems often results in aggregation rendering them unavailable for biochemical or structural studies. Protein aggregation is a costly problem for biomedical research. It forces research laboratories and the biomedical industry to search for alternative, more soluble, non-human proteins and limits the number of potential "druggable" targets.

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Static and dynamic light scattering experiments on extremely clean (nanofiltered) samples of the well-known amyloidogenic protein beta2-microglobulin (R3Abeta2m and WTbeta2m) evidence the self-assembly of early aggregates showing unexpected features. Further, we find that alphaB-crystallin effectively inhibits aggregation of beta2m in a far less than stoichiometric proportion, from 1:60 alphaB-crystallin monomer to beta2m monomer ratio, down to at least a 1:2 x 10(3) alphaB-crystallin oligomerto beta2m monomer ratio. Therefore, inhibition of the early stage of beta2m aggregation by alphaB-crystallin does not necessarily require a mechanicistic chaperon-like action implying one-to-one binding.

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To investigate which type of structural and conformational changes is involved in the aggregation processes of bovine serum albumin (BSA), we have performed thermal aggregation kinetics in D(2)O solutions of this protein. The tertiary conformational changes are followed by Amide II band, the secondary structural changes and the formation of beta-aggregates by the Amide I' band and, finally, the hydrodynamic radius of aggregates by dynamic light scattering. The results show, as a function of pD, that: tertiary conformational changes are more rapid as pD increases; the aggregation proceeds through formation of ordered aggregates (oligomers) at pD far from the isoelectric point of the protein; disordered structures add as the pD decreases.

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