Literature DB >> 20548103

Overcoming key technological challenges in using mass spectrometry for mapping cell surfaces in tissues.

Noelle M Griffin1, Jan E Schnitzer.   

Abstract

Plasma membranes form a critical biological interface between the inside of every cell and its external environment. Their roles in multiple key cellular functions make them important drug targets. However the protein composition of plasma membranes in general is poorly defined as the inherent properties of lipid embedded proteins, such as their hydrophobicity, low abundance, poor solubility and resistance to digestion and extraction makes them difficult to isolate, solubilize, and identify on a large scale by traditional mass spectrometry methods. Here we describe some of the significant advances that have occurred over the past ten years to address these challenges including: i) the development of new and improved membrane isolation techniques via either subfractionation or direct labeling and isolation of plasma membranes from cells and tissues; ii) modification of mass spectrometry methods to adapt to the hydrophobic nature of membrane proteins and peptides; iii) improvements to digestion protocols to compensate for the shortage of trypsin cleavage sites in lipid-embedded proteins, particularly multi-spanning proteins, and iv) the development of numerous bioinformatics tools which allow not only the identification and quantification of proteins, but also the prediction of membrane protein topology, membrane post-translational modifications and subcellular localization. This review emphasis the importance and difficulty of defining cells in proper patho- and physiological context to maintain the in vivo reality. We focus on how key technological challenges associated with the isolation and identification of cell surface proteins in tissues using mass spectrometry are being addressed in order to identify and quantify a comprehensive plasma membrane for drug and target discovery efforts.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20548103      PMCID: PMC3033688          DOI: 10.1074/mcp.R110.000935

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  133 in total

1.  A correlation algorithm for the automated quantitative analysis of shotgun proteomics data.

Authors:  Michael J MacCoss; Christine C Wu; Hongbin Liu; Rovshan Sadygov; John R Yates
Journal:  Anal Chem       Date:  2003-12-15       Impact factor: 6.986

2.  Combined in-gel tryptic digestion and CNBr cleavage for the generation of peptide maps of an integral membrane protein with MALDI-TOF mass spectrometry.

Authors:  Bart A van Montfort; Mark K Doeven; Benito Canas; Liesbeth M Veenhoff; Bert Poolman; George T Robillard
Journal:  Biochim Biophys Acta       Date:  2002-09-10

3.  A proteomic characterization of the plasma membrane of human epidermis by high-throughput mass spectrometry.

Authors:  Josip Blonder; Atsushi Terunuma; Thomas P Conrads; King C Chan; Carole Yee; David A Lucas; Carl F Schaefer; Li-Rong Yu; Haleem J Issaq; Timothy D Veenstra; Jonathan C Vogel
Journal:  J Invest Dermatol       Date:  2004-10       Impact factor: 8.551

Review 4.  Leveraging protein purification strategies in proteomics.

Authors:  Ipsita Roy; Kalyani Mondal; Munishwar N Gupta
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2006-12-01       Impact factor: 3.205

5.  Statistical analysis of relative labeled mass spectrometry data from complex samples using ANOVA.

Authors:  Ann L Oberg; Douglas W Mahoney; Jeanette E Eckel-Passow; Christopher J Malone; Russell D Wolfinger; Elizabeth G Hill; Leslie T Cooper; Oyere K Onuma; Craig Spiro; Terry M Therneau; H Robert Bergen
Journal:  J Proteome Res       Date:  2008-01-04       Impact factor: 4.466

6.  Range Charts for Agreement in Measurement Comparison Studies, With Application to Replicate Mass Spectrometry Experiments.

Authors:  James A Koziol; Anne C Feng; Jingyi Yu; Noelle M Griffin; Jan E Schnitzer
Journal:  J Proteomics Bioinform       Date:  2008-09-01

7.  Quantitative analysis of cell surface membrane proteins using membrane-impermeable chemical probe coupled with 18O labeling.

Authors:  Haizhen Zhang; Roslyn N Brown; Wei-Jun Qian; Matthew E Monroe; Samuel O Purvine; Ronald J Moore; Marina A Gritsenko; Liang Shi; Margaret F Romine; James K Fredrickson; Ljiljana Pasa-Tolić; Richard D Smith; Mary S Lipton
Journal:  J Proteome Res       Date:  2010-05-07       Impact factor: 4.466

8.  Direct analysis of protein complexes using mass spectrometry.

Authors:  A J Link; J Eng; D M Schieltz; E Carmack; G J Mize; D R Morris; B M Garvik; J R Yates
Journal:  Nat Biotechnol       Date:  1999-07       Impact factor: 54.908

9.  Glycoproteomics and glycomics investigation of membrane N-glycosylproteins from human colon carcinoma cells.

Authors:  Anne-Sophie Vercoutter-Edouart; Marie-Christine Slomianny; Olivia Dekeyzer-Beseme; Jean-François Haeuw; Jean-Claude Michalski
Journal:  Proteomics       Date:  2008-08       Impact factor: 3.984

10.  Growth of human malaria parasites in biotinylated erythrocytes.

Authors:  G L Simpson; J L Born; G Cain
Journal:  Mol Biochem Parasitol       Date:  1981-12-31       Impact factor: 1.759

View more
  16 in total

Review 1.  Proteomic approaches in research of cyanobacterial photosynthesis.

Authors:  Natalia Battchikova; Martina Angeleri; Eva-Mari Aro
Journal:  Photosynth Res       Date:  2014-10-31       Impact factor: 3.573

2.  Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery.

Authors:  Robert Cunningham; Di Ma; Lingjun Li
Journal:  Front Biol (Beijing)       Date:  2012-08-01

Review 3.  Mass spectrometry accelerates membrane protein analysis.

Authors:  Jeffrey N Savas; Benjamin D Stein; Christine C Wu; John R Yates
Journal:  Trends Biochem Sci       Date:  2011-05-26       Impact factor: 13.807

4.  A reference map of the membrane proteome of Enterococcus faecalis.

Authors:  Gianluca Maddalo; Peter Chovanec; Filippa Stenberg-Bruzell; Hailyn V Nielsen; Michael I Jensen-Seaman; Leopold L Ilag; Kimberly A Kline; Daniel O Daley
Journal:  Proteomics       Date:  2011-08-31       Impact factor: 3.984

Review 5.  Less is More: Membrane Protein Digestion Beyond Urea-Trypsin Solution for Next-level Proteomics.

Authors:  Xi Zhang
Journal:  Mol Cell Proteomics       Date:  2015-06-16       Impact factor: 5.911

6.  SIRT7 modulates the stability and activity of the renal K-Cl cotransporter KCC4 through deacetylation.

Authors:  Lilia G Noriega; Zesergio Melo; Renuga D Rajaram; Adriana Mercado; Armando R Tovar; Laura A Velazquez-Villegas; María Castañeda-Bueno; Yazmín Reyes-López; Dongryeol Ryu; Lorena Rojas-Vega; German Magaña-Avila; Adriana M López-Barradas; Mariana Sánchez-Hernández; Anne Debonneville; Alain Doucet; Lydie Cheval; Nimbe Torres; Johan Auwerx; Olivier Staub; Gerardo Gamba
Journal:  EMBO Rep       Date:  2021-03-22       Impact factor: 8.807

Review 7.  Protein-centric N-glycoproteomics analysis of membrane and plasma membrane proteins.

Authors:  Bingyun Sun; Leroy Hood
Journal:  J Proteome Res       Date:  2014-05-01       Impact factor: 4.466

8.  The kidney transcriptome and proteome defined by transcriptomics and antibody-based profiling.

Authors:  Masato Habuka; Linn Fagerberg; Björn M Hallström; Caroline Kampf; Karolina Edlund; Åsa Sivertsson; Tadashi Yamamoto; Fredrik Pontén; Mathias Uhlén; Jacob Odeberg
Journal:  PLoS One       Date:  2014-12-31       Impact factor: 3.240

9.  Personal genomes, quantitative dynamic omics and personalized medicine.

Authors:  George I Mias; Michael Snyder
Journal:  Quant Biol       Date:  2013-03

10.  Molecular Signatures of Membrane Protein Complexes Underlying Muscular Dystrophy.

Authors:  Rolf Turk; Jordy J Hsiao; Melinda M Smits; Brandon H Ng; Tyler C Pospisil; Kayla S Jones; Kevin P Campbell; Michael E Wright
Journal:  Mol Cell Proteomics       Date:  2016-04-20       Impact factor: 5.911

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.