Dam, S. H. | bioRxiv Science

bioRxiv2022

Prototyping of a lateral flow assay based on monoclonal antibodies for detection of Bothrops venoms

BackgroundBrazil is home to a multitude of venomous snakes, perhaps the most medically relevant of which belong to the Bothrops genus. Bothrops spp. are responsible for roughly 70% of all snakebites in Brazil, and envenomings caused by their bites can be treated with three types of antivenom: bothropic antivenom, bothro-lachetic antivenom, and bothro-crotalic antivenom. The choice in antivenom that is administered depends not only on its availability and how certain the treating physician is that the patient was bitten by a bothropic snake. The diagnosis of a bothropic envenoming can be made based on expert identification of a photo of the snake or based on a syndromic approach wherein the clinician examines the patient for characteristic manifestations of envenoming. This approach can be very effective but requires staff that has been trained in clinical snakebite management, which, unfortunately, far from all relevant staff has. ResultsIn this paper, we describe a prototype of the first lateral flow assay (LFA) capable of detecting venoms from Brazilian Bothrops spp. The monoclonal antibodies for the assay were generated using hybridoma technology and screened in sandwich enzyme-linked immunosorbent assays (ELISAs) to identify Bothrops spp. specific antibody sandwich pairs. The sandwich pairs were used to develop a prototype LFA that was able to detect venom from several different Bothrops spp. The limit of detection (LoD) of the prototype was evaluated using Brazilian B. atrox whole venom and was determined to be 8.0 ng/mL in spiked serum samples and 9.5 ng/mL in spiked urine samples, when using a portable reader, and < 25 ng/mL in spiked buffer when reading by eye. SignificanceThe work presented here serves as a proof of concept of a genus-specific venom detection kit, which could support physicians in diagnosing Bothrops envenomings. Although further optimization and testing is needed before the LFA can find clinical use, such a device could aid in decentralizing antivenoms in the Brazilian Amazon and help ensure optimal snakebite management for even more victims of this highly neglected disease.

immunology↗

bioRxiv2021

Robust integration of single-cell cytometry datasets

Combining single-cell cytometry datasets increases the analytical flexibility and the statistical power of data analyses. However, in many cases the full potential of co-analyses is not reached due to technical variance between data from different experimental batches. Here, we present cyCombine, a method to robustly integrate cytometry data from different batches, experiments, or even different experimental techniques, such as CITE-seq, flow cytometry, and mass cytometry. We demonstrate that cyCombine maintains the biological variance and the structure of the data, while minimizing the technical variance between datasets. cyCombine does not require technical replicates across datasets, and computation time scales linearly with the number of cells, allowing for integration of massive datasets. Robust, accurate, and scalable integration of cytometry data enables integration of multiple datasets for primary data analyses and the validation of results using public datasets.

bioinformatics↗