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Biology subjects

Shalaby, R.

Publications and source records attributed to Shalaby, R..

2 recordsLinked to original sources

Structural mechanism of Gasdermin E-mediated mtDNA release from apoptotic mitochondria

During apoptosis, the permeabilization of the mitochondrial inner membrane (MIM) through still-unclear mechanisms releases mtDNA into the cytosol, triggering the inflammatory cGAS/STING pathway under low caspase activity. Here, we report that, in apoptosis, the active form of the pore-forming protein Gasdermin E (GSDME-N) damages mitochondria before plasma membrane disruption. We visualize GSDME-N pore-like nano-assemblies in the MIM of apoptotic cells and of isolated mitochondria, which we bridge with the cryo-EM structure of the GSDME-N pore in mitochondria-like membranes. Deep membrane insertion of the anchor domain, which acts as a determinant of GSDME-N cardiolipin binding preferences, supports a role in pore formation. Notably, GSDME depletion results in a reduction in cristae swelling, MIM extrusion and mtDNA release during apoptosis. Subsequently, this decreases STING activation and inflammatory responses under caspase inhibition. Our findings reveal that GSDME mediates MIM permeabilization and mtDNA release during apoptosis and define the mechanism of GSDME-mediated membrane damage.

molecular biology↗

Systematic assessment of the accuracy of subunit counting in biomolecular complexes using automated single molecule brightness analysis

Analysis of single molecule brightness allows subunit counting of high-order oligomeric biomolecular complexes. Although the theory behind the method has been extensively assessed, systematic analysis of the experimental conditions required to accurately quantify the stoichiometry of biological complexes remains challenging. In this work, we develop a high-throughput, automated computational pipeline for single molecule brightness analysis that requires minimal human input. We use this strategy to systematically quantify the accuracy of counting under a wide range of experimental conditions in simulated ground-truth data and then validate its use on experimentally obtained data. Our approach defines a set of conditions under which subunit counting by brightness analysis is designed to work optimally and helps establishing the experimental limits in quantifying the number of subunits in a complex of interest. Finally, we combine these features into a powerful, yet simple, software that can be easily used for the stoichiometry analysis of such complexes.

biophysics↗