Your browser doesn't support javascript.
A Rapid User-Friendly Lab-on-a-Chip Microarray Platform for Detection of SARS-CoV-2 Variants.
Mattig, Emily; Guest, Paul C; Peter, Harald.
  • Mattig E; Fraunhofer Institute for Cell Therapy and Immunology, Branch Bioanalytics and Bioprocesses (IZI-BB), Potsdam, Germany.
  • Guest PC; Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
  • Peter H; Fraunhofer Institute for Cell Therapy and Immunology, Branch Bioanalytics and Bioprocesses (IZI-BB), Potsdam, Germany. Harald.Peter@izi-bb.fraunhofer.de.
Methods Mol Biol ; 2511: 117-131, 2022.
Article in English | MEDLINE | ID: covidwho-1941371
ABSTRACT
Since the original SARS-CoV-2 virus emerged from Wuhan, China, in late December 2019, a number of variants have arisen with enhanced infectivity, and some may even be capable of escaping the existing vaccines. Here we describe a rapid automated nucleic acid microarray hybridization and readout in less than 15 min using the Fraunhofer lab-on-a-chip platform for identification of bacterial species and antibiotic resistance. This platform allows a fast adaptation of new biomarkers enabling identification of different genes and gene mutations, such as those seen in the case the SARS-CoV-2 variants.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study Topics: Long Covid / Vaccines / Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: Methods Mol Biol Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: 978-1-0716-2395-4_9

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study Topics: Long Covid / Vaccines / Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: Methods Mol Biol Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: 978-1-0716-2395-4_9