Van Waardenberg, Ashley J. (2017) Statistical Analysis of ATM-Dependent Signaling in Quantitative Mass Spectrometry Phosphoproteomics. In: Kozlov, Sergei V., (ed.) ATM Kinase. Methods in Molecular Biology, 1599 . Springer, New York, NY, USA, pp. 229-244.

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Abstract

Ataxia-telangiectasia mutated (ATM) is a serine/threonine protein kinase, which when perturbed is associated with modified protein signaling that ultimately leads to a range of neurological and DNA repair defects. Recent advances in phospho-proteomics coupled with high-resolution mass-spectrometry provide new opportunities to dissect signaling pathways that ATM utilize under a number of conditions. This chapter begins by providing a brief overview of ATM function, its various regulatory roles and then leads into a workflow focused on the use of the statistical programming language R, together with code, for the identification of ATM-dependent substrates in the cytoplasm. This chapter cannot cover statistical properties in depth nor the range of possible methods in great detail, but instead aims to equip researchers with a set of tools to perform analysis between two conditions through examples with R functions.

Item ID:	55653
Item Type:	Book Chapter (Teaching Material)
ISBN:	978-1-4939-6953-1
Copyright Information:	© 2017 Springer Science+Business Media LLC
Date Deposited:	31 Oct 2022 00:53
FoR Codes:	06 BIOLOGICAL SCIENCES > 0601 Biochemistry and Cell Biology > 060102 Bioinformatics @ 50% 11 MEDICAL AND HEALTH SCIENCES > 1101 Medical Biochemistry and Metabolomics > 110106 Medical Biochemistry: Proteins and Peptides (incl Medical Proteomics) @ 25% 06 BIOLOGICAL SCIENCES > 0601 Biochemistry and Cell Biology > 060109 Proteomics and Intermolecular Interactions (excl Medical Proteomics) @ 25%
SEO Codes:	97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 20% 93 EDUCATION AND TRAINING > 9302 Teaching and Instruction > 930203 Teaching and Instruction Technologies @ 80%
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