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Small molecule biomarker discovery: Proposed workflow for LC-MS-based clinical research projects by S. Rischke; L. Hahnefeld; B. Burla; F. Behrens; R. Gurke; T.J. Garrett is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Small molecule biomarker discovery: Proposed workflow for LC-MS-based clinical research projects about?

Mass spectrometry focusing on small endogenous molecules has become an integral part of biomarker discovery in the pursuit of an in-depth understanding of the pathophysiology of various diseases, ultimately enabling the application of personalized medicine. While LC-MS methods allow researchers to gather vast amounts of data from hundreds or thousands of samples, the successful execution of a study as part of clinical research also requires knowledge transfer with clinicians, involvement of data scientists, and interactions with various stakeholders. The initial planning phase of a clinical research project involves specifying the scope and design, and engaging relevant experts from different fields. Enrolling subjects and designing trials rely largely on the overall objective of the study and epidemiological considerations, while proper pre-analytical sample handling has immediate implications on the quality of analytical data. Subsequent LC-MS measurements may be conducted in a targeted, semi-targeted, or non-targeted manner, resulting in datasets of varying size and accuracy. Data processing further enhances the quality of data and is a prerequisite for in-silico analysis. Nowad

Who reads Small molecule biomarker discovery: Proposed workflow for LC-MS-based clinical research projects?

Author

S. Rischke; L. Hahnefeld; B. Burla; F. Behrens; R. Gurke; T.J. Garrett

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)