Literature DB >> 27470641

Phosphoproteome Characterization of Human Colorectal Cancer SW620 Cell-Derived Exosomes and New Phosphosite Discovery for C-HPP.

Jiahui Guo1, Yizhi Cui1, Ziqi Yan1, Yanzhang Luo1, Wanling Zhang1, Suyuan Deng1, Shengquan Tang1, Gong Zhang1, Qing-Yu He1, Tong Wang1.   

Abstract

Identification of all phosphorylation forms of known proteins is a major goal of the Chromosome-Centric Human Proteome Project (C-HPP). Recent studies have found that certain phosphoproteins can be encapsulated in exosomes and function as key regulators in tumor microenvironment, but no deep coverage phosphoproteome of human exosomes has been reported to date, which makes the exosome a potential source for the new phosphosite discovery. In this study, we performed highly optimized MS analyses on the exosomal and cellular proteins isolated from human colorectal cancer SW620 cells. With stringent data quality control, 313 phosphoproteins with 1091 phosphosites were confidently identified from the SW620 exosome, from which 202 new phosphosites were detected. Exosomal phosphoproteins were significantly enriched in the 11q12.1-13.5 region of chromosome 11 and had a remarkably high level of tyrosine-phosphorylated proteins (6.4%), which were functionally relevant to ephrin signaling pathway-directed cytoskeleton remodeling. In conclusion, we here report the first high-coverage phosphoproteome of human cell-secreted exosomes, which leads to the identification of new phosphosites for C-HPP. Our findings provide insights into the exosomal phosphoprotein systems that help to understand the signaling language being delivered by exosomes in cell-cell communications. The mass spectrometry proteomics data have been deposited to the ProteomeXchange consortium with the data set identifier PXD004079, and iProX database (accession number: IPX00076800).

Entities:  

Keywords:  C-HPP; exosome; new phosphosites; phosphoproteome; signaling pathway

Mesh:

Substances:

Year:  2016        PMID: 27470641     DOI: 10.1021/acs.jproteome.6b00391

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  12 in total

1.  Characterization and Applications of Extracellular Vesicle Proteome with Post-Translational Modifications.

Authors:  Ying Zhang; Xiaofeng Wu; W Andy Tao
Journal:  Trends Analyt Chem       Date:  2018-07-29       Impact factor: 12.296

2.  Quantitative Proteomic Analysis of Small and Large Extracellular Vesicles (EVs) Reveals Enrichment of Adhesion Proteins in Small EVs.

Authors:  Lizandra Jimenez; Hui Yu; Andrew J McKenzie; Jeffrey L Franklin; James G Patton; Qi Liu; Alissa M Weaver
Journal:  J Proteome Res       Date:  2019-01-23       Impact factor: 4.466

Review 3.  Experimental and Biological Insights from Proteomic Analyses of Extracellular Vesicle Cargos in Normalcy and Disease.

Authors:  Al Charest
Journal:  Adv Biosyst       Date:  2020-08-19

Review 4.  A Perspective on Extracellular Vesicles Proteomics.

Authors:  Livia Rosa-Fernandes; Victória Bombarda Rocha; Victor Corasolla Carregari; Andrea Urbani; Giuseppe Palmisano
Journal:  Front Chem       Date:  2017-11-21       Impact factor: 5.221

5.  Cytoskeleton-centric protein transportation by exosomes transforms tumor-favorable macrophages.

Authors:  Zhipeng Chen; Lijuan Yang; Yizhi Cui; Yanlong Zhou; Xingfeng Yin; Jiahui Guo; Gong Zhang; Tong Wang; Qing-Yu He
Journal:  Oncotarget       Date:  2016-10-11

6.  SWATH-based proteomics identified carbonic anhydrase 2 as a potential diagnosis biomarker for nasopharyngeal carcinoma.

Authors:  Yanzhang Luo; Tin Seak Mok; Xiuxian Lin; Wanling Zhang; Yizhi Cui; Jiahui Guo; Xing Chen; Tao Zhang; Tong Wang
Journal:  Sci Rep       Date:  2017-01-24       Impact factor: 4.379

Review 7.  Mass spectrometry-based proteome profiling of extracellular vesicles and their roles in cancer biology.

Authors:  Raju Bandu; Jae Won Oh; Kwang Pyo Kim
Journal:  Exp Mol Med       Date:  2019-03-15       Impact factor: 8.718

8.  Lipidomic characterization of extracellular vesicles in human serum.

Authors:  Suming Chen; Amrita Datta-Chaudhuri; Pragney Deme; Alex Dickens; Raha Dastgheyb; Pavan Bhargava; Honghao Bi; Norman J Haughey
Journal:  J Circ Biomark       Date:  2019-09-30

9.  Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping.

Authors:  Stamatia Rontogianni; Eleni Synadaki; Bohui Li; Marte C Liefaard; Esther H Lips; Jelle Wesseling; Wei Wu; Maarten Altelaar
Journal:  Commun Biol       Date:  2019-09-03

10.  iProX: an integrated proteome resource.

Authors:  Jie Ma; Tao Chen; Songfeng Wu; Chunyuan Yang; Mingze Bai; Kunxian Shu; Kenli Li; Guoqing Zhang; Zhong Jin; Fuchu He; Henning Hermjakob; Yunping Zhu
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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