- Srivatsan, Sanjay;
- Heidl, Sarah;
- Pfau, Brian;
- Martin, Beth K;
- Han, Peter D;
- Zhong, Weizhi;
- van Raay, Katrina;
- McDermot, Evan;
- Opsahl, Jordan;
- Gamboa, Luis;
- Smith, Nahum;
- Truong, Melissa;
- Cho, Shari;
- Barrow, Kaitlyn A;
- Rich, Lucille M;
- Stone, Jeremy;
- Wolf, Caitlin R;
- McCulloch, Denise J;
- Kim, Ashley E;
- Brandstetter, Elisabeth;
- Sohlberg, Sarah L;
- Ilcisin, Misja;
- Geyer, Rachel E;
- Chen, Wei;
- Gehring, Jase;
- Investigators, Seattle Flu Study;
- Kosuri, Sriram;
- Bedford, Trevor;
- Rieder, Mark J;
- Nickerson, Deborah A;
- Chu, Helen Y;
- Konnick, Eric Q;
- Debley, Jason S;
- Shendure, Jay;
- Lockwood, Christina M;
- Starita, Lea M
The urgent need for massively scaled clinical or surveillance testing for SARS-CoV-2 has necessitated a reconsideration of the methods by which respiratory samples are collected, transported, processed and tested. Conventional testing for SARS-CoV-2 involves collection of a clinical specimen with a nasopharyngeal swab, storage of the swab during transport in universal transport medium (UTM), extraction of RNA, and quantitative reverse transcription PCR (RT-qPCR). As testing has scaled across the world, supply chain challenges have emerged across this entire workflow. Here we sought to evaluate how eliminating the UTM storage and RNA extraction steps would impact the results of molecular testing. Using paired mid-turbinate swabs self-collected by 11 individuals with previously established SARS-CoV-2 positivity, we performed a comparison of conventional (swab → UTM → RNA extraction → RT-qPCR) vs. simplified (direct elution from dry swab → RT-qPCR) protocols. Our results suggest that dry swabs eluted directly into a simple buffered solution (TE) can support molecular detection of SARS-CoV-2 via endpoint RT-qPCR without substantially compromising sensitivity. Although further confirmation with a larger sample size and variation of other parameters is necessary, these results are encouraging for the possibility of a simplified workflow that could support massively scaled testing for COVID-19 control.