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Targeted Glycoproteomics Analysis Using MRM/PRM Approaches.
Gutierrez Reyes, Cristian D; Sanni, Akeem; Adeniyi, Moyinoluwa; Mogut, Damir; Najera Gonzalez, Hector R; Ahmadi, Parisa; Atashi, Mojgan; Onigbinde, Sherifdeen; Mechref, Yehia.
  • Gutierrez Reyes CD; Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
  • Sanni A; Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
  • Adeniyi M; Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
  • Mogut D; Department of Food Biochemistry, Faculty of Food Science, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.
  • Najera Gonzalez HR; Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, USA.
  • Ahmadi P; Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
  • Atashi M; Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
  • Onigbinde S; Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
  • Mechref Y; Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA. Yehia.Mechref@ttu.edu.
Methods Mol Biol ; 2762: 231-250, 2024.
Article en En | MEDLINE | ID: mdl-38315369
ABSTRACT
MS-target analyses are frequently utilized to analyze and validate structural changes of biomolecules across diverse fields of study such as proteomics, glycoproteomics, glycomics, lipidomics, and metabolomics. Targeted studies are commonly conducted using multiple reaction monitoring (MRM) and parallel reaction monitoring (PRM) techniques. A reliable glycoproteomics analysis in intricate biological matrices is possible with these techniques, which streamline the analytical workflow, lower background interference, and enhance selectivity and specificity.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteómica / Metabolómica Idioma: En Año: 2024 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteómica / Metabolómica Idioma: En Año: 2024 Tipo del documento: Article