title: Label-free mass spectrometry-based protein quantification technologies in proteomic analysis.
abstract: Major technological advances have made proteomics an extremely active field for biomarker discovery and validation in recent years. These improvements have lead to an increased emphasis on larger scale, faster and more efficient methods for protein biomarker discoveries in human tissues, cells and biofluids. However, most current proteomic methodologies for biomarker discovery and validation are not highly automated and generally labour intensive and expensive. Improved automation as well as software programs capable of handling a large amount of data are essential in order to reduce the cost of discovery and increase the throughput. In this review, we will discuss and describe the label-free mass spectrometry-based protein quantification technologies and a case study utilizing one of these methods for biomarker discovery.
authors.affiliation: Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, 1345 W, 16th Street, Room 312, Indianapolis, IN 46202, USA. muwang@indiana.edu
authors.forename: Mu
authors.initials: M
authors.lastname: Wang
authors.forename: Jinsam
authors.initials: J
authors.lastname: You
authors.forename: Kerry G
authors.initials: KG
authors.lastname: Bemis
authors.forename: Tony J
authors.initials: TJ
authors.lastname: Tegeler
authors.forename: Dawn P G
authors.initials: DP
authors.lastname: Brown
mesh_terms: D000478:Alkylation; D019540:Area Under Curve; D002851:Chromatography, High Pressure Liquid; D013058:Mass Spectrometry / Q000379:methods*; D010084:Oxidation-Reduction; D011506:Proteins / Q000032:analysis* / Q000302:isolation & purification; D040901:Proteomics; D011786:Quality Control; D012984:Software
chemical_list: D011506:Proteins