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Biology subjects

Glufka, C.

Publications and source records attributed to Glufka, C..

2 recordsLinked to original sources

Gap Junction Protein Connexin43 (Cx43) Promotes Glioma Invasion via the Annexin A2/MMP3 Signaling Axis

Glioblastoma is among the most aggressive primary brain tumors, with the invasion of surrounding tissue driven by coordinated remodeling of the extracellular matrix (ECM) by proteolytic enzymes, including the matrix metalloproteinase (MMP) family. The gap junction protein connexin43 (Cx43) has emerged as an unexpected promoter of this invasive phenotype. However, the downstream molecular mechanisms linking Cx43 to ECM proteolysis remain poorly understood. We previously demonstrated selective upregulation of MMP3 within the secretome of Cx43-overexpressing glioma cells, implicating Cx43 in the regulation of ECM protease activity. To identify the molecular intermediaries responsible, we carried out a proteomic survey of gap junction (GJ)-associated signaling networks. Amongst these, we identified a Cx43 protein-protein interaction involving annexin A2 (ANXA2), a known regulator of ECM proteases. SDS-PAGE/Western blot and confocal imaging demonstrated that elevated Cx43 expression drives selective recruitment of ANXA2 to gap junction membranes, forming a junctional signaling platform rather than increasing total ANXA2 abundance. This recruitment coincided with co-localization of S100A10, suggesting assembly of an intact ANXA2/S100A10 complex at gap junctions. Using ANXA2-mimetic peptides targeting the S100A10-binding domain, we demonstrate that disruption of the ANXA2/S100A10 complex leads to a significant reduction in MMP3 activity. Furthermore, in 3D spheroids grown in ECM-replicating gels, ANXA2 peptide treatment significantly reduced the invasive potential of C6-13 (Cx43-overexpressing) cells. Together, these data define a novel Cx43[->]ANXA2[->]S100A10[->]MMP3 signaling axis, advancing our understanding of ECM remodeling in glioblastoma and establishing the ANXA2/S100A10 complex as a promising therapeutic target for disrupting Cx43-driven glioblastoma progression.

cancer biology↗

Single-Cell Analytics for Dose Response (SCADR) discriminates PTEN missense variants by lipid and protein phosphatase dysfunction

The proliferation of sequencing efforts has revealed a vast and expanding catalog of single nucleotide gene variants, many associated to, but with unclear roles in disease. Fully charactering variant impacts and linking specific protein dysfunctions to disease are challenging due to the multi-functional nature of many proteins and varying degree of variant effects on these functions. Lagging are sensitive approaches to empirically assess the impact of missense variant-induced single amino acid changes on a wide range of protein functions. To address these issues, we have developed an open-source computational analysis tool called SCADR (Single-Cell Analytics for Dose Response) for simultaneously measuring and comparing impacts of exogenously-expressed variants on multiple signaling pathways using multiplex phospho-antibody spectral flow cytometry in human cell lines. SCADR retains and correlates single-cell measures of signal protein activity states along with expression levels of exogenously-expressed variants, providing rich characterization of multiple protein functions, signaling protein interactions, and enhanced discrimination of variant impacts on different signaling pathways, highlighting each variants unique dysfunction profile. Here, we apply SCADR for analyses of the impact of 6 variants of the tumor-suppressor protein PTEN (P38H, C124S, G129E, Y138L, D268E, 4A) expressed in HEK293 cells on the phosphorylation states of the canonical and noncanonical downstream signaling proteins Akt, S6, CREB, ERK, and p38 detected with fluorophore-conjugated phospho-antibodies, along with an antibody detecting an N-terminal HA tag on PTEN variants allowing measures of dose-response effects of each variants expression on signaling cascades. Results identify variant-specific impacts on downstream signaling cascades.

genomics↗