Literature DB >> 27049636

Methods for the Analysis of Protein Phosphorylation-Mediated Cellular Signaling Networks.

Forest M White1, Alejandro Wolf-Yadlin2.   

Abstract

Protein phosphorylation-mediated cellular signaling networks regulate almost all aspects of cell biology, including the responses to cellular stimulation and environmental alterations. These networks are highly complex and comprise hundreds of proteins and potentially thousands of phosphorylation sites. Multiple analytical methods have been developed over the past several decades to identify proteins and protein phosphorylation sites regulating cellular signaling, and to quantify the dynamic response of these sites to different cellular stimulation. Here we provide an overview of these methods, including the fundamental principles governing each method, their relative strengths and weaknesses, and some examples of how each method has been applied to the analysis of complex signaling networks. When applied correctly, each of these techniques can provide insight into the topology, dynamics, and regulation of protein phosphorylation signaling networks.

Keywords:  PhosphoFlow cytometry; phosphoproteomics; phosphorylation; phosphorylation motif; signaling networks; targeted approaches

Mesh:

Substances:

Year:  2016        PMID: 27049636     DOI: 10.1146/annurev-anchem-071015-041542

Source DB:  PubMed          Journal:  Annu Rev Anal Chem (Palo Alto Calif)        ISSN: 1936-1327            Impact factor:   10.745


  8 in total

Review 1.  Phosphoproteomics: a valuable tool for uncovering molecular signaling in cancer cells.

Authors:  Jacqueline S Gerritsen; Forest M White
Journal:  Expert Rev Proteomics       Date:  2021-09-16       Impact factor: 4.250

2.  High-Density, Targeted Monitoring of Tyrosine Phosphorylation Reveals Activated Signaling Networks in Human Tumors.

Authors:  Lauren E Stopfer; Cameron T Flower; Aaron S Gajadhar; Bhavin Patel; Sebastien Gallien; Daniel Lopez-Ferrer; Forest M White
Journal:  Cancer Res       Date:  2021-01-28       Impact factor: 13.312

3.  Phosphoproteomics of Retinoblastoma: A Pilot Study Identifies Aberrant Kinases.

Authors:  Lakshmi Dhevi Nagarajha Selvan; Ravikanth Danda; Anil K Madugundu; Vinuth N Puttamallesh; Gajanan J Sathe; Uma Maheswari Krishnan; Vikas Khetan; Pukhraj Rishi; Thottethodi Subrahmanya Keshava Prasad; Akhilesh Pandey; Subramanian Krishnakumar; Harsha Gowda; Sailaja V Elchuri
Journal:  Molecules       Date:  2018-06-15       Impact factor: 4.411

4.  PamgeneAnalyzeR: open and reproducible pipeline for kinase profiling.

Authors:  Amel Bekkar; Anita Nasrallah; Nicolas Guex; Lluis Fajas; Ioannis Xenarios; Isabel C Lopez-Mejia
Journal:  Bioinformatics       Date:  2020-12-22       Impact factor: 6.937

5.  Phosphoproteomics identifies microglial Siglec-F inflammatory response during neurodegeneration.

Authors:  Nader Morshed; William T Ralvenius; Alexi Nott; L Ashley Watson; Felicia H Rodriguez; Leyla A Akay; Brian A Joughin; Ping-Chieh Pao; Jay Penney; Lauren LaRocque; Diego Mastroeni; Li-Huei Tsai; Forest M White
Journal:  Mol Syst Biol       Date:  2020-12       Impact factor: 11.429

6.  Inhibition of Elevated Ras-MAPK Signaling Normalizes Enhanced Motor Learning and Excessive Clustered Dendritic Spine Stabilization in the MECP2-Duplication Syndrome Mouse Model of Autism.

Authors:  Ryan Thomas Ash; Shelly Alexandra Buffington; Jiyoung Park; Bernhard Suter; Mauro Costa-Mattioli; Huda Yaya Zoghbi; Stelios Manolis Smirnakis
Journal:  eNeuro       Date:  2021-07-06

7.  High throughput discovery of functional protein modifications by Hotspot Thermal Profiling.

Authors:  Jun X Huang; Gihoon Lee; Kate E Cavanaugh; Jae W Chang; Margaret L Gardel; Raymond E Moellering
Journal:  Nat Methods       Date:  2019-08-05       Impact factor: 28.547

Review 8.  Phosphopeptide Fragmentation and Site Localization by Mass Spectrometry: An Update.

Authors:  Clement M Potel; Simone Lemeer; Albert J R Heck
Journal:  Anal Chem       Date:  2018-12-05       Impact factor: 6.986

  8 in total

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