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Gulko, P. S.

Publications and source records attributed to Gulko, P. S..

3 recordsLinked to original sources

The L-type voltage-gated Ca2+ channel CaV1.2 regulates fibroblast-like synoviocytes invasiveness during rheumatoid arthritis

Fibroblast-like synoviocytes (FLS) are major drivers of synovial tissue inflammation and damage during rheumatoid arthritis (RA). A hallmark of the aggressiveness of RA-FLS is their invasiveness but the molecular mechanisms that regulate this invasiveness remain poorly understood. The KCa1.1 (BK, Slo1, MaxiK, KCNMA1) potassium channel is a major regulator of RA-FLS pathogenicity and inhibiting KCa1.1 expression or its activity with selective blockers reduces RA-FLS invasiveness and reduces disease severity and joint damage in rat models of RA. KCa1.1 blockade induces a Ca2+ influx in RA-FLS whose intracellular signaling results in increased cell adhesion to the extracellular matrix and thus a reduction in cell migration. However, the identity of the Ca2+-permeable channel responsible for the Ca2+ influx has remained elusive. Here, we demonstrate the co-expression of KCa1.1 with the L-type voltage-gated CaV1.2 channels at the plasma membrane of primary human and rat FLS. Selective blocking of the CaV1.2 channel blunts the Ca2+ influx induced by KCa1.1 blockade and abrogates the effects of KCa1.1 blockade on RA-FLS invasiveness, migration, cell shape, and podoplanin expression. Whereas KCa1.1 blockers reduce disease severity in rat models of RA, treating rats with the collagen-induced arthritis model of RA with both blockers of KCa1.1 and CaV1.2 eliminates the therapeutic benefits of treatment with KCa1.1 blockers alone. Together, these data demonstrate a physical and functional coupling of KCa1.1 and CaV1.2 channels in FLS during RA and its rat model that regulate the invasive phenotype of the FLS through modulation of intracellular Ca2+ homeostasis.

cell biology↗

Cell-Specific Gene Networks and Drivers in RheumatoidArthritis Synovial Tissues

Rheumatoid arthritis (RA) is a common autoimmune and inflammatory disease characterized by inflammation and hyperplasia of the synovial tissues. RA pathogenesis involves multiple cell types, genes, transcription factors (TFs) and networks. Yet, little is known about the TFs, and key drivers and networks regulating cell function and disease at the synovial tissue level, which is the site of disease. In the present study, we used available RNA-seq databases generated from synovial tissues and developed a novel approach to elucidate cell type-specific regulatory networks on synovial tissue genes in RA. We leverage established computational methodologies to infer sample-specific gene regulatory networks and applied statistical methods to compare network properties across phenotypic groups (RA versus osteoarthritis). We developed computational approaches to rank TFs based on their contribution to the observed phenotypic differences between RA and controls across different cell types. We identified 18,16,19,11 key regulators of fibroblast-like synoviocyte (FLS), T cells, B cells, and monocyte signatures and networks, respectively, in RA synovial tissues. Interestingly, FLS and B cells were driven by multiple independent co-regulatory TF clusters that included MITF, HLX, BACH1 (FLS) and KLF13, FOSB, FOSL1 (synovial B cells). However, monocytes were collectively governed by a single cluster of TF drivers, responsible for the main phenotypic differences between RA and controls, which included RFX5, IRF9, CREB5. Among several cell subset and pathway changes, we also detected reduced presence of NKT cell and eosinophils in RA synovial tissues. Overall, our novel approach identified new and previously unsuspected KDG, TF and networks and should help better understanding individual cell regulation and co-regulatory networks in RA pathogenesis, as well as potentially generate new targets for treatment.

bioinformatics↗

Gene Network Analyses Identifies Co-regulated Transcription Factors and BACH1 as a Key Driver in Rheumatoid Arthritis Fibroblast-like Synoviocytes

RNA-sequencing and differential gene expression studies have significantly advanced our understanding of pathogenic pathways underlying Rheumatoid Arthritis (RA). Yet, little is known about cell-specific regulatory networks and their contributions to disease. In this study, we focused on fibroblast-like synoviocytes (FLS), a cell type central to disease pathogenesis and joint damage in RA. We used a strategy that computed sample-specific gene regulatory networks (GRNs) to compare network properties between RA and osteoarthritis FLS. We identified 28 transcription factors (TFs) as key regulators central to the signatures of RA FLS. Six of these TFs are new and have not been previously implicated in RA, and included BACH1, HLX, and TGIF1. Several of these TFs were found to be co-regulated, and BACH1 emerged as the most significant TF and regulator. The main BACH1 targets included those implicated in fatty acid metabolism and ferroptosis. The discovery of BACH1 was validated in experiments with RA FLS. Knockdown of BACH1 in RA FLS significantly affected the gene expression signatures, reduced cell adhesion and mobility, interfered with the formation of thick actin fibers, and prevented the polarized formation of lamellipodia, all required for the RA destructive behavior of FLS. This is the first time that BACH1 is shown to have a central role in the regulation of FLS phenotypes, and gene expression signatures, as well as in ferroptosis and fatty acid metabolism. These new discoveries have the potential to become new targets for treatments aimed at selectively targeting the RA FLS.

bioinformatics↗