Literature DB >> 22154696

Mapping in vivo signal transduction defects by phosphoproteomics.

Taras Stasyk1, Lukas A Huber.   

Abstract

Abnormal protein phosphorylation is implicated in a variety of diseases, but until recently the complexity of tissue material, technical limitations, and the substantial volume of required data processing did not allow large-scale phosphoproteomic analysis of patient material, despite tremendous progress in developing mass spectrometry technologies. Phosphoproteomic approaches were primarily developed using model systems such as transformed cell lines, but technological advances in proteomics now make it feasible to analyze thousands of phosphorylation sites in a quantitative manner in patient materials or complex animal and cellular model systems to identify signaling abnormalities. This review summarizes very recent phosphoproteomic studies on complex tissue material, including tissue samples in biobanks, to complement recent reviews that focus primarily on technical advances in instrumentation and methods. Several successful examples reviewed here suggest it is now possible to apply phosphoproteomic techniques to address more challenging medical questions such as mapping within patient samples signal transduction defects that are relevant for diagnosis and individualized treatment development.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22154696     DOI: 10.1016/j.molmed.2011.11.001

Source DB:  PubMed          Journal:  Trends Mol Med        ISSN: 1471-4914            Impact factor:   11.951


  9 in total

1.  Quantitative phosphoproteomics of Alzheimer's disease reveals cross-talk between kinases and small heat shock proteins.

Authors:  Eric B Dammer; Andrew K Lee; Duc M Duong; Marla Gearing; James J Lah; Allan I Levey; Nicholas T Seyfried
Journal:  Proteomics       Date:  2014-12-17       Impact factor: 3.984

2.  Site-specific NMR mapping and time-resolved monitoring of serine and threonine phosphorylation in reconstituted kinase reactions and mammalian cell extracts.

Authors:  Francois-Xavier Theillet; Honor May Rose; Stamatios Liokatis; Andres Binolfi; Rossukon Thongwichian; Marchel Stuiver; Philipp Selenko
Journal:  Nat Protoc       Date:  2013-06-27       Impact factor: 13.491

Review 3.  System level dynamics of post-translational modifications.

Authors:  Aaron S Gajadhar; Forest M White
Journal:  Curr Opin Biotechnol       Date:  2014-01-15       Impact factor: 9.740

4.  MAPK pathway and B cells overactivation in multiple sclerosis revealed by phosphoproteomics and genomic analysis.

Authors:  Ekaterina Kotelnikova; Narsis A Kiani; Dimitris Messinis; Inna Pertsovskaya; Vicky Pliaka; Marti Bernardo-Faura; Melanie Rinas; Gemma Vila; Irati Zubizarreta; Irene Pulido-Valdeolivas; Theodore Sakellaropoulos; Wolfgang Faigle; Gilad Silberberg; Mar Masso; Pernilla Stridh; Janina Behrens; Tomas Olsson; Roland Martin; Friedemann Paul; Leonidas G Alexopoulos; Julio Saez-Rodriguez; Jesper Tegner; Pablo Villoslada
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-19       Impact factor: 11.205

5.  Phosphotyrosine signaling analysis in human tumors is confounded by systemic ischemia-driven artifacts and intra-specimen heterogeneity.

Authors:  Aaron S Gajadhar; Hannah Johnson; Robbert J C Slebos; Kent Shaddox; Kerry Wiles; Mary Kay Washington; Alan J Herline; Douglas A Levine; Daniel C Liebler; Forest M White
Journal:  Cancer Res       Date:  2015-02-10       Impact factor: 12.701

6.  Deciphering Phosphotyrosine-Dependent Signaling Networks in Cancer by SH2 Profiling.

Authors:  Kazuya Machida; Malik Khenkhar; Peter Nollau
Journal:  Genes Cancer       Date:  2012-05

Review 7.  Application of molecular technologies for phosphoproteomic analysis of clinical samples.

Authors:  M Pierobon; J Wulfkuhle; L Liotta; E Petricoin
Journal:  Oncogene       Date:  2014-03-10       Impact factor: 9.867

8.  Mutually exclusive acetylation and ubiquitylation among enzymes involved in glucose metabolism.

Authors:  Sudharsana Rao Ande; G Pauline Padilla-Meier; Suresh Mishra
Journal:  Adipocyte       Date:  2013-08-13       Impact factor: 4.534

9.  Mathematical modelling of the MAP kinase pathway using proteomic datasets.

Authors:  Tianhai Tian; Jiangning Song
Journal:  PLoS One       Date:  2012-08-08       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.