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Literature DB >> 18603430

Non-functional phosphorylations?

Gustav E Lienhard.

Abstract

Mesh：

Substances：
Proteins

Year: 2008 PMID： 18603430 DOI： 10.1016/j.tibs.2008.05.004

Source DB: PubMed Journal: Trends Biochem Sci ISSN： 0968-0004 Impact factor: 13.807

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Cited

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53 in total

1. A tissue-specific atlas of mouse protein phosphorylation and expression.

Authors: Edward L Huttlin; Mark P Jedrychowski; Joshua E Elias; Tapasree Goswami; Ramin Rad; Sean A Beausoleil; Judit Villén; Wilhelm Haas; Mathew E Sowa; Steven P Gygi
Journal: Cell Date: 2010-12-23 Impact factor: 41.582

2. Testing whether metazoan tyrosine loss was driven by selection against promiscuous phosphorylation.

Authors: Siddharth Pandya; Travis J Struck; Brian K Mannakee; Mary Paniscus; Ryan N Gutenkunst
Journal: Mol Biol Evol Date: 2014-10-13 Impact factor: 16.240

3. Exploring the intrinsic behaviour of multisite phosphorylation systems as part of signalling pathways.

Authors: Thapanar Suwanmajo; J Krishnan
Journal: J R Soc Interface Date: 2018-06 Impact factor: 4.118

Review 4. Next-generation proteomics: towards an integrative view of proteome dynamics.

Authors: A F Maarten Altelaar; Javier Munoz; Albert J R Heck
Journal: Nat Rev Genet Date: 2012-12-04 Impact factor: 53.242

5. Protein abundance is key to distinguish promiscuous from functional phosphorylation based on evolutionary information.

Authors: Emmanuel D Levy; Stephen W Michnick; Christian R Landry
Journal: Philos Trans R Soc Lond B Biol Sci Date: 2012-09-19 Impact factor: 6.237

Non-functional phosphorylations?

1. A tissue-specific atlas of mouse protein phosphorylation and expression.

2. Testing whether metazoan tyrosine loss was driven by selection against promiscuous phosphorylation.

3. Exploring the intrinsic behaviour of multisite phosphorylation systems as part of signalling pathways.

Review 4. Next-generation proteomics: towards an integrative view of proteome dynamics.

5. Protein abundance is key to distinguish promiscuous from functional phosphorylation based on evolutionary information.

6. Stable isotope labeling of phosphoproteins for large-scale phosphorylation rate determination.

Review 7. The tissue proteome in the multi-omic landscape of kidney disease.

8. Posttranslational regulation impacts the fate of duplicated genes.

9. Phosphoproteomics by mass spectrometry: insights, implications, applications and limitations.

10. CPhos: a program to calculate and visualize evolutionarily conserved functional phosphorylation sites.