@inbook{273423e72f0f4d8db835d6a0fe384206,
title = "A method for label-free, differential top-down proteomics",
abstract = "Biomarker discovery in the translational research has heavily relied on labeled and label-free quantitative bottom-up proteomics. Here, we describe a new approach to biomarker studies that utilizes high throughput top-down proteomics and is the first to offer whole protein characterization and relative quantitation within the same experiment. Using yeast as a model, we report procedures for a label-free approach to quantify the relative abundance of intact proteins ranging from 0 to 30 kDa in two different states. In this chapter, we describe the integrated methodology for the large-scale profiling and quantitation of the intact proteome by liquid chromatography-mass spectrometry (LC-MS) without the need for metabolic or chemical labeling. This recent advance for quantitative top-down proteomics is best implemented with a robust and highly controlled sample preparation workflow before data acquisition on a high-resolution mass spectrometer, and the application of a hierarchical linear statistical model to account for the multiple levels of variance contained in quantitative proteomic comparisons of samples for basic and clinical research.",
keywords = "Differential expression, Label-free quantitation, Proteoform, Quantitative mass spectrometry, Top-down proteomics, Top-down quantitation",
author = "Ioanna Ntai and Toby, {Timothy K.} and Leduc, {Richard D.} and Kelleher, {Neil L.}",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media New York 2016.",
year = "2016",
month = feb,
day = "1",
doi = "10.1007/978-1-4939-3524-6_8",
language = "English (US)",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "121--133",
booktitle = "Methods in Molecular Biology",
}