Search bioRxiv⌕ Search

Biology subjects

Gresch, S.

Publications and source records attributed to Gresch, S..

2 recordsLinked to original sources

Prion Seeding Activity in DNA Extractions: Implications for Laboratory Biosafety

Infectious prions (PrPSc) are largely resistant to proteolytic digestion, including proteinase K digestion. While nucleic acid extracts are generally considered non-infectious, we investigated whether standard DNA purification methods can co-purify PrPSc, posing an unrecognized biosafety risk. Two laboratories, the University of Minnesota Center for Prion Research and Outreach (MNPRO) and the Canadian Food Inspection Agency (CFIA), independently tested filter-based and magnetic bead-based DNA extraction kits using tissues from chronic wasting disease (CWD)-positive and -negative white-tailed deer (WTD; Odocoileus virginianus), as well as prion-infected and control Syrian hamster (Mesocricetus auratus) brains. CFIA used two filter-based kits (one automated and one manual), while MNPRO tested two manual kits (one filter-based and one magnetic bead-based). PrPSc seeding activity was measured in extracted DNA and source tissues using real-time quaking-induced conversion (RT-QuIC). MNPRO found substantial to almost perfect agreement (kappa ({kappa}) = 0.789 - 0.816) between RT-QuIC seeding activity of DNA eluates from both extraction methods and that of the source WTD tissue homogenate. CFIA optimized RT-QuIC to a 30-hour runtime, achieving 74% sensitivity and 94% specificity in 88 archived WTD DNA samples. Both laboratories concluded that commercial DNA extraction kits do not eliminate PrPSc, enabling its carry-over into DNA eluates. Until infectivity is resolved by animal bioassay, DNA from PrPSc-positive tissues should be managed under biosafety protocols appropriate for the originating prion disease, with appropriate decontamination and containment procedures.

molecular biology↗

QuICSeedR: An R package for analyzing fluorophore-assisted seed amplification assay data

SummaryFluorophore-assisted seed amplification assays (F-SAAs), such as real-time quaking-induced conversion (RT-QuIC) and fluorophore-assisted protein misfolding cyclic amplification (F-PMCA), have become indispensable tools for studying protein misfolding in neurodegenerative diseases. However, analyzing data generated by these techniques often requires complex and time-consuming manual processes. Additionally, the lack of standardization in F-SAA data analysis presents a significant challenge to the interpretation and reproducibility of F-SAA results across different laboratories and studies. Here, we present QuICSeedR (pronounced as "quick seeder"), an R package that addresses these challenges by providing a comprehensive toolkit for the automated processing, analysis, and visualization of F-SAA data. Importantly, QuICSeedR also sets up the foundation for building an F-SAA data management and analysis framework, enabling more consistent and comparable results across different research groups. Availability and implementationQuICSeedR source code is freely available at: https://github.com/mancili/QuICSeedR. Data and code used in this manuscript are provided in Supplementary Materials. Supplementary informationSupplementary Materials are available with the manuscript.

bioinformatics↗