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Moursli, Y.

Publications and source records attributed to Moursli, Y..

2 recordsLinked to original sources

Discovery and characterization of a pancreatic β cell subpopulation expressing an unknown surface epitope through single cell proteomics

The pancreatic {beta} cell surface proteome is essential for supporting cell communication, as it contributes to their secretory identity and maintains {beta} cell responsiveness to any extra- and intracellular variations. Therefore, studies are actively looking to identify specific surface biomarkers that not only can differentiate dysfunctional cell populations, particularly in the context of diabetes, but also can be used to develop therapeutic targets. While {beta} cell heterogeneity has been explored at the single-cell genomic and transcriptomic levels, in this study we aimed to demonstrate that even when a new plasma membrane epitope is identified, characterization of the proteome of cells expressing the same surface protein confirms that different subpopulations do exist. Using single-cell proteomic approach, we analyzed the proteome of MIN6 and Tc1 cells expressing Cd71, Cd99, and P538, which binds to a Fab-phage-538 identified in our previous study. Our findings suggest that the MIN6 (P538+) subpopulation may hold a more specialized functional identity compared to the other MIN6 (Cd71+), MIN6 (Cd99+), and control subpopulations. Moreover, we demonstrate that cell lines derived from the same tissue and expressing the same surface epitope can exhibit heterogeneity in their proteome. Indeed, while the specific expression of 17 protein groups confers to the MIN6 (P538+) subpopulation an insulin production and secretion-oriented identity, Tc1 (P538+), on the other hand, was characterized by only two proteins with no established involvement in glucagon production or secretion. Also, while the MIN6 (Cd99+) subpopulation may be predisposed to the development of insulin deficiency compared to MIN6 (Cd71+) and MIN6 (P538+), the proteomic profile of the Tc1 (Cd99+) subpopulation suggests that this subpopulation may hold an ability to adapt to stressful environmental conditions. Finally, when comparing MIN6 (Cd71+) to Tc1 (Cd71+), our findings suggest that the MIN6 subpopulation has probably a lesser role in Type 2 Diabetes Mellitus (T2DM) genesis in the context of iron homeostasis disruption than Tc1 (Cd71+).

molecular biology↗

Investigating pancreatic beta cell membrane epitopes using unbiased cell-based Fab-phage display

The phenotypic and functional changes of cells in response to physiological and pathological conditions are strongly influenced by the roles of plasma membrane proteins. Recombinant Fab antibody-based phage display for an unbiased antigen-driven affinity selection is a suitable approach for identifying novel membrane proteins. Alterations in the function and distribution of cell membrane proteins in pancreatic {beta} cells have been observed in pathological conditions like diabetes. In this study, we integrated an unbiased cell-based Fab-phage display screening method with bioinformatics tools to identify and characterize Fabs that selectively bind to pancreatic {beta} cells in conditions simulated by a hyperglycemic environment. We isolated three Fab-phages, namely Fab_53, 538, and 54.68, that have binding properties matching specific epitopes on the MIN6 membrane. These Fabs are part of the immunoglobulin G groups that contain Kappa light chains. Bioinformatics analysis of the variable domains of their light and heavy chains (VL and VH) revealed that the potential epitope binding sites on the {beta} cell membrane are associated with pathways involved in insulin activity. Through FACS and IF analysis, we found that, of the three Fabs, Fab_538 exhibited the strongest binding to MIN6 cells. The use of InterProScan software resulted in the generation of 344 potential Fab_538 binding epitopes, and from these, AF2Complex predicted 10 interacting antigens. Our goal in combining Fab-phage display with bioinformatic tools is to develop a more effective, specific, and streamlined method for identifying disease-modifying membrane epitopes for monoclonal antibodies (mAbs).

molecular biology↗