Literature DB >> 34468274

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

Jacqueline S Gerritsen1, Forest M White1.   

Abstract

INTRODUCTION: Many pathologies, including cancer, have been associated with aberrant phosphorylation-mediated signaling networks that drive altered cell proliferation, migration, metabolic regulation, and can lead to systemic inflammation. Phosphoproteomics, the large-scale analysis of protein phosphorylation sites, has emerged as a powerful tool to define signaling network regulation and dysregulation in normal and pathological conditions. AREAS COVERED: We provide an overview of methodology for global phosphoproteomics as well as enrichment of specific subsets of the phosphoproteome, including phosphotyrosine and phospho-motif enrichment of kinase substrates. We review quantitative methods, advantages and limitations of different mass spectrometry acquisition formats, and computational approaches to extract biological insight from phosphoproteomics data. Throughout, we discuss various applications and their challenges in implementation. EXPERT OPINION: Over the past 20 years the field of phosphoproteomics has advanced to enable deep biological and clinical insight through the quantitative analysis of signaling networks. Future areas of development include Clinical Laboratory Improvement Amendments (CLIA)-approved methods for analysis of clinical samples, continued improvements in sensitivity to enable analysis of small numbers of rare cells and tissue microarrays, and computational methods to integrate data resulting from multiple systems-level quantitative analytical methods.

Entities:  

Keywords:  Cancer; cellular networks; kinase activity; mass spectrometry; molecular signaling; phosphoproteomics; phosphorylation

Mesh:

Substances:

Year:  2021        PMID: 34468274      PMCID: PMC8628306          DOI: 10.1080/14789450.2021.1976152

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   4.250


  140 in total

1.  Substrate-based kinase activity inference identifies MK2 as driver of colitis.

Authors:  Samantha Dale Strasser; Phaedra C Ghazi; Alina Starchenko; Myriam Boukhali; Amanda Edwards; Lucia Suarez-Lopez; Jesse Lyons; Paul S Changelian; Joseph B Monahan; Jon Jacobsen; Douglas K Brubaker; Brian A Joughin; Michael B Yaffe; Wilhelm Haas; Douglas A Lauffenburger; Kevin M Haigis
Journal:  Integr Biol (Camb)       Date:  2019-11-26       Impact factor: 2.192

2.  The potential cost of high-throughput proteomics.

Authors:  Forest M White
Journal:  Sci Signal       Date:  2011-02-15       Impact factor: 8.192

3.  S-Trap, an Ultrafast Sample-Preparation Approach for Shotgun Proteomics.

Authors:  Milkessa HaileMariam; Rodrigo Vargas Eguez; Harinder Singh; Shiferaw Bekele; Gobena Ameni; Rembert Pieper; Yanbao Yu
Journal:  J Proteome Res       Date:  2018-08-28       Impact factor: 4.466

4.  SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function.

Authors:  Marcus Krüger; Markus Moser; Siegfried Ussar; Ingo Thievessen; Christian A Luber; Francesca Forner; Sarah Schmidt; Sara Zanivan; Reinhard Fässler; Matthias Mann
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

Review 5.  Epiproteomics: quantitative analysis of histone marks and codes by mass spectrometry.

Authors:  Yupeng Zheng; Xiaoxiao Huang; Neil L Kelleher
Journal:  Curr Opin Chem Biol       Date:  2016-06-29       Impact factor: 8.822

6.  Phosphoproteomics reveals conserved exercise-stimulated signaling and AMPK regulation of store-operated calcium entry.

Authors:  Marin E Nelson; Benjamin L Parker; James G Burchfield; Nolan J Hoffman; Elise J Needham; Kristen C Cooke; Timur Naim; Lykke Sylow; Naomi Xy Ling; Deanne Francis; Dougall M Norris; Rima Chaudhuri; Jonathan S Oakhill; Erik A Richter; Gordon S Lynch; Jacqueline Stöckli; David E James
Journal:  EMBO J       Date:  2019-08-05       Impact factor: 11.598

7.  Quantitative proteomics and phosphoproteomic analyses of mouse livers after tick-borne Babesia microti infection.

Authors:  Yuhong Hu; Minjing Wang; Shuguang Ren; Abolfazl Masoudi; Xiaomin Xue; Xiaoshuang Wang; Xiaohong Yang; Yanan Han; Mengxue Li; Hui Wang; Jingze Liu
Journal:  Int J Parasitol       Date:  2020-11-23       Impact factor: 3.981

8.  Network Modeling Identifies Patient-specific Pathways in Glioblastoma.

Authors:  Nurcan Tuncbag; Pamela Milani; Jenny L Pokorny; Hannah Johnson; Terence T Sio; Simona Dalin; Dennis O Iyekegbe; Forest M White; Jann N Sarkaria; Ernest Fraenkel
Journal:  Sci Rep       Date:  2016-06-29       Impact factor: 4.379

9.  Differential responses to kinase inhibition in FGFR2-addicted triple negative breast cancer cells: a quantitative phosphoproteomics study.

Authors:  Debbie L Cunningham; Adil R Sarhan; Andrew J Creese; Katherine P B Larkins; Hongyan Zhao; Harriet R Ferguson; Katie Brookes; Anna A Marusiak; Helen J Cooper; John K Heath
Journal:  Sci Rep       Date:  2020-05-14       Impact factor: 4.379

10.  Phosphoproteomics reveals that the hVPS34 regulated SGK3 kinase specifically phosphorylates endosomal proteins including Syntaxin-7, Syntaxin-12, RFIP4 and WDR44.

Authors:  Nazma Malik; Raja S Nirujogi; Julien Peltier; Thomas Macartney; Melanie Wightman; Alan R Prescott; Robert Gourlay; Matthias Trost; Dario R Alessi; Athanasios Karapetsas
Journal:  Biochem J       Date:  2019-10-30       Impact factor: 3.857

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