Literature DB >> 17269721

iTRAQ is a useful method to screen for membrane-bound proteins differentially expressed in human natural killer cell types.

Troy C Lund1, Lorraine B Anderson, Valarie McCullar, Leeann Higgins, Gong H Yun, Bartek Grzywacz, Michael R Verneris, Jeffrey S Miller.   

Abstract

We are interested in the biological as well as the molecular processes involved in natural killer (NK) cell development and function. Determining the proteomic complement could be a useful tool in predicting cellular function and fate. For the first time shown here, we have utilized iTRAQ, a new method that allows identification and quantification of proteins between multiple samples, to determine the expression of membrane-bound proteins in two previously characterized human NK cell populations. One population was derived from umbilical cord blood (UCB) stem cells (CD34+38-Lin-) and the other from expanded CD3-depleted adult peripheral blood. iTRAQ was employed for multiplex peptide labeling of proteins from fractionated membranes followed by two-dimensional high-performance liquid chromatography (2D-HPLC), and tandem mass spectrometry was used to identify protein signatures. We were able to identify and quantify differences in expression levels of 400-800 proteins in a typical experiment. Ontology analysis showed the majority of the proteins to be involved in cell signaling, nucleic acid binding, or mitochondrial function. Nearly all proteins were associated with the plasma membrane, membrane-bound organelle (lysosome or mitochondria), or nucleus. We found several novel proteins highly expressed in UCB stem cell derived NK cells compared to adult NK cells including CD9, alpha-2 macroglobulin, brain abundant signaling protein (BASP1), and allograft inflammatory factor-1 (AIF-1). In addition, we were able to confirm several of our iTRAQ results by RT-PCR, Western blot, and fluorescence-activated cell-sorting (FACS) analysis. This is the first demonstration and verification using iTRAQ to screen for membrane-bound protein differences in human NK cells and represents a powerful new tool in the field of proteomics.

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Year:  2007        PMID: 17269721     DOI: 10.1021/pr0603912

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


  20 in total

1.  iTRAQ reagent-based quantitative proteomic analysis on a linear ion trap mass spectrometer.

Authors:  Timothy J Griffin; Hongwei Xie; Sricharan Bandhakavi; Jonathan Popko; Archana Mohan; John V Carlis; LeeAnn Higgins
Journal:  J Proteome Res       Date:  2007-09-29       Impact factor: 4.466

2.  A novel role for proteomics in the discovery of cell-surface markers on stem cells: Scratching the surface.

Authors:  Rebekah L Gundry; Kenneth R Boheler; Jennifer E Van Eyk; Bernd Wollscheid
Journal:  Proteomics Clin Appl       Date:  2008-06-12       Impact factor: 3.494

3.  Proteomic analysis uncovers novel actions of the neurosecretory protein VGF in nociceptive processing.

Authors:  Maureen S Riedl; Patrick D Braun; Kelley F Kitto; Samuel A Roiko; Lorraine B Anderson; Christopher N Honda; Carolyn A Fairbanks; Lucy Vulchanova
Journal:  J Neurosci       Date:  2009-10-21       Impact factor: 6.167

Review 4.  Quantitative neuroproteomics: classical and novel tools for studying neural differentiation and function.

Authors:  Luca Colucci-D'Amato; Annarita Farina; Johannes P C Vissers; Angela Chambery
Journal:  Stem Cell Rev Rep       Date:  2011-03       Impact factor: 5.739

5.  Altered expression of mitochondrial electron transport chain proteins and improved myocardial energetic state during late ischemic preconditioning.

Authors:  Jesús A Cabrera; Elizabeth A Ziemba; Robert Colbert; Lorraine B Anderson; Willem Sluiter; Dirk J Duncker; Tammy A Butterick; Joseph Sikora; Herbert B Ward; Rosemary F Kelly; Edward O McFalls
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-03-02       Impact factor: 4.733

6.  CONSTANd : A Normalization Method for Isobaric Labeled Spectra by Constrained Optimization.

Authors:  Evelyne Maes; Wahyu Wijaya Hadiwikarta; Inge Mertens; Geert Baggerman; Jef Hooyberghs; Dirk Valkenborg
Journal:  Mol Cell Proteomics       Date:  2016-06-14       Impact factor: 5.911

7.  BASP1 promotes apoptosis in diabetic nephropathy.

Authors:  Maria Dolores Sanchez-Niño; Ana Belen Sanz; Corina Lorz; Andrea Gnirke; Maria Pia Rastaldi; Viji Nair; Jesus Egido; Marta Ruiz-Ortega; Matthias Kretzler; Alberto Ortiz
Journal:  J Am Soc Nephrol       Date:  2010-01-28       Impact factor: 10.121

8.  iTRAQ-based shotgun neuroproteomics.

Authors:  Tong Liu; Jun Hu; Hong Li
Journal:  Methods Mol Biol       Date:  2009

9.  Quantitative proteomic profiling of host-pathogen interactions: the macrophage response to Mycobacterium tuberculosis lipids.

Authors:  Wenqing Shui; Sarah A Gilmore; Leslie Sheu; Jun Liu; Jay D Keasling; Carolyn R Bertozzi
Journal:  J Proteome Res       Date:  2009-01       Impact factor: 4.466

10.  Proteomics: challenges, techniques and possibilities to overcome biological sample complexity.

Authors:  Kondethimmanahalli Chandramouli; Pei-Yuan Qian
Journal:  Hum Genomics Proteomics       Date:  2009-12-08
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