DiaCarta Inc., a precision molecular diagnostics company and leading developer of novel oncology tests using liquid biopsy today announced the publication of a study entitled “A Rapid SARS-CoV-2 Variant Detection by Molecular-Clamping Based RT-qPCR” in MedRxiV (https://doi.org/10.1101/2021.04.01.21254484)
RICHMOND, Calif., April 22, 2021 /PRNewswire/ -- DiaCarta Inc., a precision molecular diagnostics company and leading developer of novel oncology tests using liquid biopsy today announced the publication of a study entitled “A Rapid SARS-CoV-2 Variant Detection by Molecular-Clamping Based RT-qPCR” in MedRxiV (https://doi.org/10.1101/2021.04.01.21254484) that demonstrates the enhanced sensitivity and specificity using its proprietary XNA based Molecular Clamping Technology that uses innovative synthetic Xenonucleic acid molecular oligomers (XNA) that hybridize with target wild-type DNA sequences, acting as molecular clamps, to enable the accurate amplification of mutant sequences only, using quantitative real-time polymerase chain reactions (qPCR). In this study, a total of 278 previously tested SARS-CoV-2 positive samples, originating primarily from the San Francisco Bay Area, were analyzed. The SARS-CoV-2 Spike-gene D614G mutation was detected in 58 of the 139 samples collected in January 2021 (41.7%) and in 78 of the 139 samples collected in February (56.1%). Notably, while the N501Y mutation was not detected in the samples from January, seven of the February samples tested positive for both the N501Y and D614G mutations. The results suggest a relatively recent and rampant spreading of the UK variant (B.1.1.7) in Northern California. This new molecular clamping technology is highly sensitive and specific and can accelerate large scale testing for SARS-CoV-2 variants to fight this global pandemic. “Next generation sequencing (NGS) has been the standard method of detection for SARS-CoV-2 variants. However, the NGS-based assays are expensive, time consuming and not widely available, thereby limiting their utility in large scale surveillance for SARS-CoV-2 variants,” said Michael Sha, Ph.D., Chief Technology Officer and Senior Vice President of R&D at DiaCarta Inc. “There has been an urgent need for testing platforms that can detect these variants rapidly and cost-effectively. This study demonstrates that DiaCarta’s XNA technology can do both - accurately detect known and emerging SARS-CoV-2 mutations and provide a rapid, cost-effective solution for SARS-CoV-2 variant surveillance.” DiaCarta is pursuing an Emergency Use Authorization (EUA) with the U.S. Food and Drugs Administration (FDA) for this unique and rapid SARS-CoV-2 variant detection test. About DiaCarta Inc. Contacts: Media
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