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Biology subjects

Stoynov, S.

Publications and source records attributed to Stoynov, S..

4 recordsLinked to original sources

Kinetic landscape of single virus-like particles highlights the efficacy of SARS-Cov-2 internalization

The efficiency of virus internalization into target cells is a major determinant of infectivity. SARS-CoV-2 internalization occurs via S-protein-mediated cell binding followed either by direct fusion with the plasma membrane or endocytosis and subsequent fusion with the endosomal membrane. Despite the crucial role of virus internalization, the precise kinetics of the processes involved remains elusive. We developed a pipeline, which combines live-cell microscopy and advanced image analysis, for measuring the rates of multiple internalization-associated molecular events of single SARS-CoV-2-virus-like particles (VLPs), including endosome ingression, pH change, and nucleocapsid release. Our live-cell imaging experiments demonstrate that only a few minutes after binding to the plasma membrane, VLPs ingress into Rab5-negative endosomes via Dynamin-dependent scission. Less than two minutes later, the pH of VLPs drops below 5 followed by an increase in VLP speed, yet these two events are not interrelated. Nucleocapsid release from the VLPs occurs with similar kinetics to the pH drop, suggesting that VLP fusion occurs during endosome acidification. Neither Omicron mutations nor abrogation of the S protein polybasic cleavage site altered the rate of VLP internalization events, indicating that they do not affect these processes. Finally, we observe that VLP internalization occurs two to three times faster in VeroE6 than in A549 cells, which may contribute to the greater susceptibility of the former cell line to SARS-CoV-2 infection. Taken together, our precise measurements of the kinetics of VLP internalization-associated processes shed light on their contribution to the effectiveness of SARS-CoV-2 propagation in cells. Time-lapse videos of the studied internalization events can be accessed in the dedicated COVIDynamics database.

cell biology↗

Diffusion of activated ATM explains γH2AX and MDC1 spread beyond the DNA damage site

During DNA repair, ATM-induced H2AX histone phosphorylation and MDC1 recruitment spread megabases beyond the damage site. The mechanism underlying this spread remains unclear. To elucidate this step of the DNA damage response, we measured ATM and MDC1 recruitment kinetics at micro-irradiation-induced complex DNA lesions. While MDC1 spreads beyond the damage-induced focus of ATM accumulation, cohesin loader NIPBL and cohesin subunit RAD21 accumulate later than MDC1. Such delayed recruitment suggests that, in complex DNA lesions, loop extrusion cannot alone explain {gamma}H2AX and MDC1 spread. To determine if diffusion of activated ATM could account for the observed behavior, we measured the exchange rate and diffusion constants of ATM and MDC1 within damaged and unperturbed chromatin. Based on these measurements, we introduced a quantitative model that describes the dynamic behavior of ATM and subsequent MDC1 spread at complex DNA lesions. Altogether, we propose activated ATM diffusion as an underlying mechanism of MDC1 spread.

cell biology↗

CellTool: an open source software combining bio-image analysis and mathematical modeling

SummaryWe present CellTool, a stand-alone open source software with a Graphical User Interface for image analysis, optimized for measurement of time-lapse microscopy images. It combines data management, image processing, mathematical modeling and graphical presentation of data in a single package. Multiple image filters, segmentation and particle tracking algorithms, combined with direct visualization of the obtained results make CellTool an ideal application for rapid execution of complex tasks. In addition, the software allows for the fitting of the obtained results to predefined or custom mathematical models. Importantly, CellTool provides a platform for easy implementation of custom image analysis packages written on a variety of programing languages.\n\nAvailability and ImplementationCellTool is a free software available for MS Windows OS under the terms of the GNU General Public License. Executables and source files, supplementary information and sample data sets are freely available for download at URL: https://dnarepair.bas.bg/software/CellTool/\n\nContactdanovski@bio21.bas.bg; stoynov@bio21.bas.bg;\n\nSupplementary informationSupplementary data are available at URL: https://dnarepair.bas.bg/software/CellTool/Program/CellTool_UserGuide.pdf

bioinformatics↗

Genome-wide and high-density CRISPR-Cas9 screens identify point mutations in PARP1 causing PARP inhibitor resistance

PARP inhibitors (PARPi) target homologous recombination defective tumour cells via synthetic lethality. Genome-wide and high-density CRISPR-Cas9 \"tag, mutate and enrich\" mutagenesis screens identified single amino acid mutations in PARP1 that cause profound PARPi-resistance. These included PARP1 mutations outside of the DNA interacting regions of the protein, such as mutations in solvent exposed regions of the catalytic domain and clusters of mutations around points of contact between ZnF, WGR and HD domains. These mutations altered PARP1 trapping, as did a mutation found in a clinical case of PARPi resistance. These genetic studies reinforce the importance of trapped PARP1 as a key cytotoxic DNA lesion and suggest that interactions between non-DNA binding domains of PARP1 influence cytotoxicity. Finally, different mechanisms of PARPi resistance (BRCA1 reversion, PARP1, 53BP1, REV7 mutation) had differing effects on chemotherapy sensitivity, suggesting that the underlying mechanism of PARPi resistance likely influences the success of subsequent therapies.

cancer biology↗