Literature DB >> 25794949

Mass spectrometry based proteomics for absolute quantification of proteins from tumor cells.

Hong Wang1, Sam Hanash2.   

Abstract

In-depth quantitative profiling of the proteome and sub-proteomes of tumor cells has relevance to tumor classification, the development of novel therapeutics, and of prognostic and predictive markers and to disease monitoring. In particular the tumor cell surface represents a highly relevant compartment for the development of targeted therapeutics and immunotherapy. We have developed a proteomic platform to profile tumor cells that encompasses enrichment of surface membrane proteins, intact protein fractionation and label-free mass spectrometry based absolute quantification. Here we describe the methodology for capture, identification and quantification of cell surface proteins using biotinylation for labeling of the cell surface, avidin for capture of biotinylated proteins and ion mobility mass spectrometry for protein identification and quantification.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Absolute quantification; Mass spectrometry; Proteins; Tumor cells

Mesh:

Substances:

Year:  2015        PMID: 25794949      PMCID: PMC4678004          DOI: 10.1016/j.ymeth.2015.03.007

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  21 in total

1.  Absolute quantification of the glycolytic pathway in yeast: deployment of a complete QconCAT approach.

Authors:  Kathleen M Carroll; Deborah M Simpson; Claire E Eyers; Christopher G Knight; Philip Brownridge; Warwick B Dunn; Catherine L Winder; Karin Lanthaler; Pinar Pir; Naglis Malys; Douglas B Kell; Stephen G Oliver; Simon J Gaskell; Robert J Beynon
Journal:  Mol Cell Proteomics       Date:  2011-09-19       Impact factor: 5.911

Review 2.  Proteomic profiling of distinct clonal populations of bone marrow mesenchymal stem cells.

Authors:  Shobha Mareddy; James Broadbent; Ross Crawford; Yin Xiao
Journal:  J Cell Biochem       Date:  2009-04-01       Impact factor: 4.429

Review 3.  Diagnostic and therapeutic use of membrane proteins in cancer cells.

Authors:  D Grimm; J Bauer; J Pietsch; M Infanger; J Eucker; C Eilles; J Schoenberger
Journal:  Curr Med Chem       Date:  2011       Impact factor: 4.530

4.  Challenges in implementing individualized medicine illustrated by antimetabolite therapy of childhood acute lymphoblastic leukemia.

Authors:  Jacob Nersting; Louise Borst; Kjeld Schmiegelow
Journal:  Clin Proteomics       Date:  2011-06-03       Impact factor: 3.988

5.  The detection, correlation, and comparison of peptide precursor and product ions from data independent LC-MS with data dependant LC-MS/MS.

Authors:  Scott J Geromanos; Johannes P C Vissers; Jeffrey C Silva; Craig A Dorschel; Guo-Zhong Li; Marc V Gorenstein; Robert H Bateman; James I Langridge
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

6.  Simultaneous qualitative and quantitative analysis of the Escherichia coli proteome: a sweet tale.

Authors:  Jeffrey C Silva; Richard Denny; Craig Dorschel; Marc V Gorenstein; Guo-Zhong Li; Keith Richardson; Daniel Wall; Scott J Geromanos
Journal:  Mol Cell Proteomics       Date:  2006-01-05       Impact factor: 5.911

7.  A new algorithm using cross-assignment for label-free quantitation with LC-LTQ-FT MS.

Authors:  Victor P Andreev; Lingyun Li; Lei Cao; Ye Gu; Tomas Rejtar; Shiaw-Lin Wu; Barry L Karger
Journal:  J Proteome Res       Date:  2007-04-19       Impact factor: 4.466

Review 8.  In-depth proteomics to define the cell surface and secretome of ovarian cancer cells and processes of protein shedding.

Authors:  Vitor M Faça; Samir M Hanash
Journal:  Cancer Res       Date:  2009-01-20       Impact factor: 12.701

9.  Comprehensive absolute quantification of the cytosolic proteome of Bacillus subtilis by data independent, parallel fragmentation in liquid chromatography/mass spectrometry (LC/MS(E)).

Authors:  Jan Muntel; Vincent Fromion; Anne Goelzer; Sandra Maaβ; Ulrike Mäder; Knut Büttner; Michael Hecker; Dörte Becher
Journal:  Mol Cell Proteomics       Date:  2014-01-31       Impact factor: 5.911

10.  Label-free nanoUPLC-MSE based quantification of antimicrobial peptides from the leaf apoplast of Nicotiana attenuata.

Authors:  Arne Weinhold; Natalie Wielsch; Aleš Svatoš; Ian T Baldwin
Journal:  BMC Plant Biol       Date:  2015-01-21       Impact factor: 4.215

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  5 in total

Review 1.  Proteomic analysis of the cardiac extracellular matrix: clinical research applications.

Authors:  Merry L Lindsey; Mira Jung; Michael E Hall; Kristine Y DeLeon-Pennell
Journal:  Expert Rev Proteomics       Date:  2018-01-09       Impact factor: 3.940

2.  Aptamer-Based Proteomic Profiling Reveals Novel Candidate Biomarkers and Pathways in Cardiovascular Disease.

Authors:  Debby Ngo; Sumita Sinha; Dongxiao Shen; Eric W Kuhn; Michelle J Keyes; Xu Shi; Mark D Benson; John F O'Sullivan; Hasmik Keshishian; Laurie A Farrell; Michael A Fifer; Ramachandran S Vasan; Marc S Sabatine; Martin G Larson; Steven A Carr; Thomas J Wang; Robert E Gerszten
Journal:  Circulation       Date:  2016-07-26       Impact factor: 29.690

3.  Quantitative proteomic analysis identifies new effectors of FOXM1 involved in breast cancer cell migration.

Authors:  Xiaojuan Ye; Yi Zhang; Bin He; Yuesheng Meng; Yandong Li; Yong Gao
Journal:  Int J Clin Exp Pathol       Date:  2015-12-01

4.  Personalized Proteomics: The Future of Precision Medicine.

Authors:  Trevor T Duarte; Charles T Spencer
Journal:  Proteomes       Date:  2016-10-01

5.  Protein citrullination as a source of cancer neoantigens.

Authors:  Hiroyuki Katayama; Makoto Kobayashi; Ehsan Irajizad; Alejandro Sevillarno; Nikul Patel; Xiangying Mao; Leona Rusling; Jody Vykoukal; Yining Cai; Fuchung Hsiao; Chuan-Yih Yu; James Long; Jinsong Liu; Franscisco Esteva; Johannes Fahrmann; Sam Hanash
Journal:  J Immunother Cancer       Date:  2021-06       Impact factor: 13.751

  5 in total

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