| Literature DB >> 32786682 |
Evgeny N Nikolaev1, Maria I Indeykina2, Alexander G Brzhozovskiy1,3, Anna E Bugrova2,3, Alexey S Kononikhin1,3, Natalia L Starodubtseva3, Evgeny V Petrotchenko4, Grigoriy I Kovalev1, Christoph H Borchers1,4,5, Gennady T Sukhikh3.
Abstract
The detection of viral RNA by polymerase chain reaction (PCR) is currently the main diagnostic tool for COVID-19 ( Eurosurveillance 2019, 25 (3), 1). The PCR-based test, however, shows limited sensitivity, especially in the early and late stages of disease development ( Nature 2020, 581, 465-469; J. Formosan Med. Assoc. 2020, 119 (6) 1123), and is relatively time-consuming. Fast and reliable complementary methods for detecting the viral infection would be of help in the current pandemic conditions. Mass spectrometry is one of such possibilities. We have developed a mass-spectrometry-based method for the detection of the SARS CoV-2 virus in nasopharynx epithelial swabs based on the detection of the viral nucleocapsid N protein. Our approach shows confident identification of the N protein in patient samples, even those with the lowest viral loads, and a much simpler preparation procedure. Our main protocol consists of virus inactivation by heating and the addition of isopropanol and tryptic digestion of the proteins sedimented from the swabs followed by MS analysis. A set of unique peptides, produced as a result of proteolysis of the nucleocapsid phosphoprotein of SARS-CoV-2, is detected. The obtained results can further be used to create fast parallel mass-spectrometric approaches for the detection of the virus in the nasopharyngeal mucosa, saliva, sputum and other physiological fluids.Entities:
Keywords: COVID-19; SARS-COV-2; TIMS-TOF PRO; mass-spectrometry; proteomics
Mesh:
Substances:
Year: 2020 PMID: 32786682 PMCID: PMC7640963 DOI: 10.1021/acs.jproteome.0c00412
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466
Viral Load in All Collected Samples According to RT-qPCR
| sample | number of PCR cycles |
|---|---|
| 1 | 24 |
| 2 | 19 |
| 3 | 21 |
| 4 | 31 |
| 5 | 36 |
| 6 | control |
| 7 | control |
| 8 | control |
Figure 1Sequence coverage of the P0DTC9|NCAP_SARS2 nucleoprotein from SARS CoV-2.
Peptides from the P0DTC9|NCAP_SARS2 Nucleoprotein Identified via PEAKS Studio in Different Samplesa
Sample preparation protocol: Samples 1–5 were collected from five patients with COVID-19 (1–3 were prepared by Protocol 1; 4 and 5 were prepared by Protocol 2). Samples 6–8 are negative controls (healthy individuals). Two LC–MS/MS runs were performed for each sample. The numbers in the table correspond to spectral counts for each peptide.
Peptides from the P0DTC9|NCAP_SARS2 Nucleoprotein Identified via MaxQuant in Different Samples Depending on the Sample Preparation Protocola
Sample preparation protocol: Samples 1–5 were collected from five patients with COVID-19 (1–3 were prepared by Protocol 1; 4 and 5 were prepared by Protocol 2). Samples 6-8 are negative controls (healthy individuals). Two LC–MS/MS runs were performed for each sample. The numbers in the table correspond to the intensities of each peptide.