Click here to close Hello! We notice that you are using Internet Explorer, which is not supported by Xenbase and may cause the site to display incorrectly. We suggest using a current version of Chrome, FireFox, or Safari.
XB-ART-55232
Methods Mol Biol 2018 Jan 01;1865:195-215. doi: 10.1007/978-1-4939-8784-9_14.
Show Gene links Show Anatomy links

Quantitative Proteomics for Xenopus Embryos II, Data Analysis.

Sonnett M , Gupta M , Nguyen T , Wühr M .


???displayArticle.abstract???
The oocytes, embryos, and cell-free lysates of the frog Xenopus laevis have emerged as powerful models for quantitative proteomic experiments. In the accompanying paper (Chapter 13) we describe how to prepare samples and acquire multiplexed proteomics spectra from those. As an illustrative example we use a 10-stage developmental time series from the egg to stage 35 (just before hatching). Here, we outline how to convert the ~700,000 acquired mass spectra from this time series into protein expression dynamics for ~9000 proteins. We first outline a preliminary quality-control analysis to discover any errors that occurred during sample preparation. We discuss how peptide and protein identification error rates are controlled, and how peptide and protein species are quantified. Our analysis relies on the freely available MaxQuant proteomics pipeline. Finally, we demonstrate how to start interpreting this large dataset by clustering and gene-set enrichment analysis.

???displayArticle.pubmedLink??? 30151768
???displayArticle.pmcLink??? PMC6534117
???displayArticle.link??? Methods Mol Biol
???displayArticle.grants??? [+]


References [+] :
Cox, Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. 2014, Pubmed