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Bondalapati, S. T.

Publications and source records attributed to Bondalapati, S. T..

2 recordsLinked to original sources

Single-virus fusion measurements yield an opportunistic model for SARS-CoV-2 fusion

SARS-CoV-2 binds to cell-surface receptors and is activated for membrane fusion and cell entry via proteolytic cleavage. Phenomenological data have shown that SARS-CoV-2 can be activated for entry at either the cell surface or in endosomes, but the relative roles in different cell types and mechanisms of entry have been debated. Here we use single-virus fusion experiments and exogenously controlled proteases to probe activation directly. We find that plasma membrane and an appropriate protease are sufficient to support SARS-CoV-2 pseudovirus fusion. Furthermore, fusion kinetics of SARS-CoV-2 pseudoviruses are indistinguishable no matter which of a broad range of proteases was used to activate the virus. This suggests that fusion mechanism is insensitive to protease identity or even whether activation occurs before or after receptor binding. These data support a model for opportunistic fusion by SARS-CoV-2, where subcellular location of entry likely depends on the differential activity of airway, cell-surface, and endosomal proteases, but all support infection. Inhibiting any single host protease may thus reduce infection in some cells but may be less clinically robust. ImportanceSARS-CoV-2 can use multiple pathways to infect cells, as demonstrated recently when new viral variants switched dominant infection pathways. Here, we use single-virus fusion experiments together with biochemical reconstitution to show that these multiple pathways coexist simultaneously and specifically that the virus can be activated by different proteases in different cellular compartments with mechanistically identical effect. The consequences of this are that the virus is evolutionarily plastic and that therapies targeting viral entry should address multiple pathways at once to achieve optimal clinical effects.

microbiology↗

Early detection of impending cryostorage tank failure using a weight-based monitoring system

ObjectTo study the ability of custom-built, web-enabled scales to monitor liquid nitrogen (LN2) levels in cryostorage dewars.\n\nDesignLaboratory study\n\nSettingA large academic fertility center in New York City.\n\nInterventionsCryostorage dewars were placed on top of the custom-engineered scales with continuous real-time monitoring, and weight and temperature data were recorded in the setting of slow, medium, and fast rate-loss of LN2 designed to mimic models of tank failures.\n\nMain Outcome MeasuresWeights were continuously monitored and recorded, with a calculated alarm trigger set at 10% weight loss. Temperature within the tanks was simultaneously monitored with probes placed near the top of the tanks, with calculated alarms using a -185 {degrees}C as the threshold. For the \"slow rate-loss\" simulations, tanks were left intact and closed in usual operating conditions, and LN2 was allowed to evaporate at the normal rate. For the \"medium rate-loss\" simulation, the foam core of the tank neck was removed and the insulating vacuum was eliminated by making a 1/16 inch hole in the outer tank wall. For the \"fast rate-loss\" simulation, a 1/16\" hole was made through the outer tank wall and LN2 was released at a rate of 0.15 L/second. All simulations were performed in duplicate.\n\nResultsWith an intact and normally functioning tank, a 10% loss in LN2 occurred in 4.2-4.9 days. Warming to -185 {degrees}C occurred in 37.8 - 43.7 days, over 30 days after the weight-based alarm was triggered. Full evaporation of LN2required 36.8 days. For the medium rate-loss simulation, a 10% loss in LN2 occurred in 0.8 h. Warming to -185 {degrees}C occurred in 3.7 - 4.8 hours, approximately 3 hours after the weight-based alarm was triggered. For the fast rate-loss simulation, a 10% weight loss occurred within 15 seconds and tanks were completely depleted in under 3 minutes. Tank temperatures began to rise immediately and at a relatively constant rate of 43.9 {degrees}C/hour and 51.6 {degrees}C/hour. Temperature alarms would have sounded within 0.37 and 0.06 hours after the breech.\n\nConclusionsThis study demonstrates that a weight-based, automated alarm system can detect tank failures prior to a temperature-based alarm system, in some cases over a month in advance. In combination with existing safety mechanisms such as temperature probes, a weight-based monitoring system could serve as a redundant safety mechanism for added protection of cryopreserved reproductive tissues.

developmental biology↗