Quantitative, high-resolution proteomics for data-driven systems biology.

By Jüergen Cox, Matthias Mann. Annual Review of Biochemistry, 2011

723 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/7ae8a158d04d6457310186c18d9ebe3ee09e4bf8

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Citations in the corpus

Deep proteome and transcriptome mapping of a human cancer cell line (2011, background): “…MS and RNA-Seq may account for the fact that higher correlations between transcriptomes and proteomes are observed here than in previous studies (Cox and Mann, 2011; de Sousa Abreu et al, 2009; Maier et al, 2009), where technical imperfections in the quantification of both the proteome and the…”
Ensemble deep learning in bioinformatics (2020, background): “Computational analysis of such large volume datasets is transforming our understanding of proteome dynamics in complex systems and diseases 78 .”
Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes (2012, methodology): “The relative levels of 6,280 proteins were also measured at 14 time points through differentially labeling samples using isobaric tandem mass tags (TMT), followed by liquid chromatography and mass spectrometry (LC-MS/MS) (Cox and Mann, 2010; Theodoridis et al., 2011).”
Revisiting biomarker discovery by plasma proteomics (2017, background): “Over the past years, the technology of MS-based proteomics has dramatically improved, and it is now a mainstay of all biological research that involves proteins (Cox & Mann, 2011; Altelaar & Heck, 2012; Richards et al, 2015; Zhang et al, 2016).”
The Perseus computational platform for comprehensive analysis of (prote)omics data (2016, background): “Here, we address this void by creating a computational platform that fulfils two potentially conflicting objectives: (1) all methods should be statistically sound, powerful and comprehensive; (2) the platform should be intuitive and easy to use for the domain expert in a biomedical discipline who is”