Literature DB >> 17137336

Characterization of the human pancreatic islet proteome by two-dimensional LC/MS/MS.

Thomas O Metz1, Jon M Jacobs, Marina A Gritsenko, Ghislaine Fontès, Wei-Jun Qian, David G Camp, Vincent Poitout, Richard D Smith.   

Abstract

The pancreatic beta-cell plays a central role in the maintenance of glucose homeostasis and in the pathogenesis of both type 1 and type 2 diabetes mellitus. Elucidation of the insulin secretory defects observed in diabetes first requires a better understanding of the complex mechanisms regulating insulin secretion, which are only partly understood. While there have been reports detailing proteomic analyses of islet cell lines or isolated rodent islets, the information gained is not always applicable to humans. Therefore, definition of the human islet proteome could contribute to a better understanding of islet biology and lead to more effective treatment strategies. We have applied a two-dimensional LC-MS/MS-based analysis to the characterization of the human islet proteome, resulting in the confident identification of 29,021 different tryptic peptides covering 3365 proteins (> or =2 unique peptide identifications per protein). As expected, the three major islet hormones (insulin, glucagon, and somatostatin) were detected, as well as various beta-cell enriched secretory products, ion channels, and transcription factors. In addition, significant proteome coverage of metabolic enzymes and cellular pathways was observed, including the integrin signaling cascade and the MAP kinase, NF-kappa beta, and JAK/STAT pathways. The resulting peptide reference library provides a resource for future higher throughput and quantitative studies of islet biology.

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Year:  2006        PMID: 17137336      PMCID: PMC2975945          DOI: 10.1021/pr060322n

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


  33 in total

1.  A proteomic study of the HUPO Plasma Proteome Project's pilot samples using an accurate mass and time tag strategy.

Authors:  Joshua N Adkins; Matthew E Monroe; Kenneth J Auberry; Yufeng Shen; Jon M Jacobs; David G Camp; Frank Vitzthum; Karin D Rodland; Richard C Zangar; Richard D Smith; Joel G Pounds
Journal:  Proteomics       Date:  2005-08       Impact factor: 3.984

2.  High-resolution two-dimensional polyacrylamide gel electrophoresis reveals a glucose-response protein of 65 kDa in pancreatic islet cells.

Authors:  H W Collins; C Buettger; F Matschinsky
Journal:  Proc Natl Acad Sci U S A       Date:  1990-07       Impact factor: 11.205

3.  Activation of NF-kappaB by extracellular matrix is involved in spreading and glucose-stimulated insulin secretion of pancreatic beta cells.

Authors:  Eva B Hammar; Jean-Claude Irminger; Katharina Rickenbach; Géraldine Parnaud; Pascale Ribaux; Domenico Bosco; Dominique G Rouiller; Philippe A Halban
Journal:  J Biol Chem       Date:  2005-06-30       Impact factor: 5.157

4.  Regulation of pancreatic beta-cell growth and survival by the serine/threonine protein kinase Akt1/PKBalpha.

Authors:  R L Tuttle; N S Gill; W Pugh; J P Lee; B Koeberlein; E E Furth; K S Polonsky; A Naji; M J Birnbaum
Journal:  Nat Med       Date:  2001-10       Impact factor: 53.440

5.  Malonyl-CoA and long chain acyl-CoA esters as metabolic coupling factors in nutrient-induced insulin secretion.

Authors:  M Prentki; S Vischer; M C Glennon; R Regazzi; J T Deeney; B E Corkey
Journal:  J Biol Chem       Date:  1992-03-25       Impact factor: 5.157

6.  Results from the inaugural year of the Collaborative Islet Transplant Registry.

Authors:  N C Close; B J Hering; T L Eggerman
Journal:  Transplant Proc       Date:  2005-03       Impact factor: 1.066

7.  Proteome analysis of interleukin-1beta--induced changes in protein expression in rat islets of Langerhans.

Authors:  P M Larsen; S J Fey; M R Larsen; A Nawrocki; H U Andersen; H Kähler; C Heilmann; M C Voss; P Roepstorff; F Pociot; A E Karlsen; J Nerup
Journal:  Diabetes       Date:  2001-05       Impact factor: 9.461

8.  Quantitative proteome analysis of human plasma following in vivo lipopolysaccharide administration using 16O/18O labeling and the accurate mass and time tag approach.

Authors:  Wei-Jun Qian; Matthew E Monroe; Tao Liu; Jon M Jacobs; Gordon A Anderson; Yufeng Shen; Ronald J Moore; David J Anderson; Rui Zhang; Steve E Calvano; Stephen F Lowry; Wenzhong Xiao; Lyle L Moldawer; Ronald W Davis; Ronald G Tompkins; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2005-03-07       Impact factor: 5.911

9.  Target cell expression of suppressor of cytokine signaling-1 prevents diabetes in the NOD mouse.

Authors:  Malin Flodström-Tullberg; Deepak Yadav; Robert Hägerkvist; Devin Tsai; Patrick Secrest; Alexandr Stotland; Nora Sarvetnick
Journal:  Diabetes       Date:  2003-11       Impact factor: 9.461

10.  Identification of glucose response proteins in two biological models of beta-cell adaptation to chronic high glucose exposure.

Authors:  H Collins; H Najafi; C Buettger; J Rombeau; R G Settle; F M Matschinsky
Journal:  J Biol Chem       Date:  1992-01-15       Impact factor: 5.157

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  24 in total

1.  Comparative proteomics study of freshly isolated, in vitro cultured, and proliferating islet preparation cells.

Authors:  G Li; X Yang; Y Zhang; H Liu; W Zhang; Y Shen; W Fan; Z Lu; D Lu
Journal:  J Endocrinol Invest       Date:  2010-10-04       Impact factor: 4.256

2.  Sample preparation protocol for bottom-up proteomic analysis of the secretome of the islets of Langerhans.

Authors:  Andrew Schmudlach; Jeremy Felton; Cynthia Cipolla; Liangliang Sun; Robert T Kennedy; Norman J Dovichi
Journal:  Analyst       Date:  2016-03-07       Impact factor: 4.616

3.  Systematic characterization of the murine mitochondrial proteome using functionally validated cardiac mitochondria.

Authors:  Jun Zhang; Xiaohai Li; Michael Mueller; Yueju Wang; Chenggong Zong; Ning Deng; Thomas M Vondriska; David A Liem; Jeong-In Yang; Paavo Korge; Henry Honda; James N Weiss; Rolf Apweiler; Peipei Ping
Journal:  Proteomics       Date:  2008-04       Impact factor: 3.984

4.  Micro-proteome analysis using micro-chromatofocusing in intact protein separations.

Authors:  Hyeyeung Kim; David M Lubman
Journal:  J Chromatogr A       Date:  2008-03-27       Impact factor: 4.759

5.  Separation of biological proteins by liquid chromatography.

Authors:  Imran Ali; Hassan Y Aboul-Enein; Prashant Singh; Rakesh Singh; Bhavtosh Sharma
Journal:  Saudi Pharm J       Date:  2010-02-13       Impact factor: 4.330

Review 6.  Unraveling pancreatic islet biology by quantitative proteomics.

Authors:  Jian-Ying Zhou; Geoffrey P Dann; Chong Wee Liew; Richard D Smith; Rohit N Kulkarni; Wei-Jun Qian
Journal:  Expert Rev Proteomics       Date:  2011-08       Impact factor: 3.940

7.  Release of severe acute respiratory syndrome coronavirus nuclear import block enhances host transcription in human lung cells.

Authors:  Amy C Sims; Susan C Tilton; Vineet D Menachery; Lisa E Gralinski; Alexandra Schäfer; Melissa M Matzke; Bobbie-Jo M Webb-Robertson; Jean Chang; Maria L Luna; Casey E Long; Anil K Shukla; Armand R Bankhead; Susan E Burkett; Gregory Zornetzer; Chien-Te Kent Tseng; Thomas O Metz; Raymond Pickles; Shannon McWeeney; Richard D Smith; Michael G Katze; Katrina M Waters; Ralph S Baric
Journal:  J Virol       Date:  2013-01-30       Impact factor: 5.103

Review 8.  The pancreatic β-cell transcriptome and integrated-omics.

Authors:  David M Blodgett; Anthony J Cura; David M Harlan
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2014-04       Impact factor: 3.243

9.  Proteomic profiling of human islets collected from frozen pancreata using laser capture microdissection.

Authors:  Lina Zhang; Giacomo Lanzoni; Matteo Battarra; Luca Inverardi; Qibin Zhang
Journal:  J Proteomics       Date:  2016-09-13       Impact factor: 4.044

10.  Direct quantitation of peptide mixtures without standards using clusters formed by electrospray ionization mass spectrometry.

Authors:  Ryan D Leib; Tawnya G Flick; Evan R Williams
Journal:  Anal Chem       Date:  2009-05-15       Impact factor: 6.986

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