التفاصيل البيبلوغرافية
| العنوان: |
Cov-MS: A Community-Based Template Assay for Mass-Spectrometry-Based Protein Detection in SARS-CoV‑2 Patients |
| المؤلفون: |
Bart Van Puyvelde (7325378), Katleen Van Uytfanghe (8045234), Olivier Tytgat (10740481), Laurence Van Oudenhove (235865), Ralf Gabriels (8903903), Robbin Bouwmeester (6335645), Simon Daled (6646094), Tim Van Den Bossche (8962124), Pathmanaban Ramasamy (8989634), Sigrid Verhelst (10740484), Laura De Clerck (3385010), Laura Corveleyn (10740487), Sander Willems (3385004), Nathan Debunne (8260638), Evelien Wynendaele (443950), Bart De Spiegeleer (8260641), Peter Judak (10740490), Kris Roels (10740493), Laurie De Wilde (10740496), Peter Van Eenoo (10740499), Tim Reyns (10740502), Marc Cherlet (10740505), Emmie Dumont (2131417), Griet Debyser (2016040), Ruben t’Kindt (1606435), Koen Sandra (1606432), Surya Gupta (2631034), Nicolas Drouin (2626048), Amy Harms (3007857), Thomas Hankemeier (135670), Donald J. L. Jones (7584767), Pankaj Gupta (2691), Dan Lane (5532935), Catherine S. Lane (3089505), Said El Ouadi (10740508), Jean-Baptiste Vincendet (10740511), Nick Morrice (79136), Stuart Oehrle (10740514), Nikunj Tanna (10740517), Steve Silvester (10740520), Sally Hannam (8501382), Florian C. Sigloch (10740523), Andrea Bhangu-Uhlmann (10740526), Jan Claereboudt (10740529), N. Leigh Anderson (10740532), Morteza Razavi (375073), Sven Degroeve (3782), Lize Cuypers (3819328), Christophe Stove (253209), Katrien Lagrou (5022230), Geert A. Martens (10161906), Dieter Deforce (20882), Lennart Martens (14237), Johannes P. C. Vissers (7672667), Maarten Dhaenens (466100) |
| سنة النشر: |
1753 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Medicine, Microbiology, Molecular Biology, Cancer, Infectious Diseases, Plant Biology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, alternative, RT-PCR, spread, reagent, increase applicability, population density, mass spectrometry, laboratory, transcription polymerase chain reaction, policy response, Mass-Spectrometry-Based Protein Det., RNA, Cov-MS Digital Incubator, Community-Based Template Assay, SARS-CoV -2 detection, PXD, Cov-MS consortium, test shortages, COVID -19 diagnosis, SARS-CoV -2 proteins |
| الوصف: |
Rising population density and global mobility are among the reasons why pathogens such as SARS-CoV-2, the virus that causes COVID-19, spread so rapidly across the globe. The policy response to such pandemics will always have to include accurate monitoring of the spread, as this provides one of the few alternatives to total lockdown. However, COVID-19 diagnosis is currently performed almost exclusively by reverse transcription polymerase chain reaction (RT-PCR). Although this is efficient, automatable, and acceptably cheap, reliance on one type of technology comes with serious caveats, as illustrated by recurring reagent and test shortages. We therefore developed an alternative diagnostic test that detects proteolytically digested SARS-CoV-2 proteins using mass spectrometry (MS). We established the Cov-MS consortium, consisting of 15 academic laboratories and several industrial partners to increase applicability, accessibility, sensitivity, and robustness of this kind of SARS-CoV-2 detection. This, in turn, gave rise to the Cov-MS Digital Incubator that allows other laboratories to join the effort, navigate, and share their optimizations and translate the assay into their clinic. As this test relies on viral proteins instead of RNA, it provides an orthogonal and complementary approach to RT-PCR using other reagents that are relatively inexpensive and widely available, as well as orthogonally skilled personnel and different instruments. Data are available via ProteomeXchange with identifier PXD022550. |
| نوع الوثيقة: |
dataset |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/dataset/Cov-MS_A_Community-Based_Template_Assay_for_Mass-Spectrometry-Based_Protein_Detection_in_SARS-CoV_2_Patients/14531830 |
| DOI: |
10.1021/jacsau.1c00048.s002 |
| الاتاحة: |
https://doi.org/10.1021/jacsau.1c00048.s002 |
| Rights: |
CC BY-NC 4.0 |
| رقم الانضمام: |
edsbas.D2B02828 |
| قاعدة البيانات: |
BASE |