Proteomics

Dataset Information

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FIRST DETECTION OF SARS-COV-2 PROTEINS IN WASTEWATER SAMPLES BY MASS SPECTROMETRY


ABSTRACT: On March 12, 2020, the World Health Organization (WHO) declared COVID-19 as a global pandemic. COVID-19 is produced by a novel β-coronavirus known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) [1]. Several studies have detected SARS-CoV-2 RNA in urine, feces, and other biofluids from both symptomatic and asymptomatic people with COVID-19 [2], suggesting that SARS-CoV-2 RNA could be detected in human wastewater [3]. Thus, wastewater-based epidemiology (WBE) is now used as an approach to monitor COVID-19 prevalence in many different places around the world [4-10] . Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is the most common SARS-CoV-2 detection method in WBE, but there are other methods for viral biomolecule detection that could work as well. The aim of this study was to evaluate the presence of SARS-CoV-2 proteins in untreated wastewater (WW) influents collected from six wastewater treatment plants (WWTPs), from Durham Region, Ontario, Canada, using a LC-MS/MS-based proteomics approach. We identified many SARS-CoV-2 proteins in these wastewater samples, with peptides from pp1ab being the most consistently detected and with consistent abundance.

INSTRUMENT(S): 6520A Quadrupole Time-of-Flight LC/MS

ORGANISM(S): Coronavirus Predict Cov-2

SUBMITTER: Denina Simmons  

LAB HEAD: Denina Simmons

PROVIDER: PXD026412 | Pride | 2022-03-31

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
191_1.stg Other
AcqMethod.xml Xml
BinPump1.cd Other
BinPump1.cg Other
BinPump_1.xml Xml
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