Literature DB >> 18062666

Metabolomic and proteomic analysis of a clonal insulin-producing beta-cell line (INS-1 832/13).

Céline Fernandez1, Ulrika Fransson, Elna Hallgard, Peter Spégel, Cecilia Holm, Morten Krogh, Kristofer Wårell, Peter James, Hindrik Mulder.   

Abstract

Metabolites generated from fuel metabolism in pancreatic beta-cells control exocytosis of insulin, a process which fails in type 2 diabetes. To identify and quantify these metabolites, global and unbiased analysis of cellular metabolism is required. To this end, polar metabolites, extracted from the clonal 832/13 beta-cell line cultured at 2.8 and 16.7 mM glucose for 48 h, were derivatized followed by identification and quantification, using gas chromatography (GC) and mass spectrometry (MS). After culture at 16.7 mM glucose for 48 h, 832/13 beta-cells exhibited a phenotype reminiscent of glucotoxicity with decreased content and secretion of insulin. The metabolomic analysis revealed alterations in the levels of 7 metabolites derived from glycolysis, the TCA cycle and pentose phosphate shunt, and 4 amino acids. Principal component analysis of the metabolite data showed two clusters, corresponding to the cells cultured at 2.8 and 16.7 mM glucose, respectively. Concurrent changes in protein expression were analyzed by 2-D gel electrophoresis followed by LC-MS/MS. The identities of 86 spots corresponding to 75 unique proteins that were significantly different in 832/13 beta-cells cultured at 16.7 mM glucose were established. Only 5 of these were found to be metabolic enzymes that could be involved in the metabolomic alterations observed. Anticipated changes in metabolite levels in cells exposed to increased glucose were observed, while changes in enzyme levels were much less profound. This suggests that substrate availability, allosteric regulation, and/or post-translational modifications are more important determinants of metabolite levels than enzyme expression at the protein level.

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Year:  2007        PMID: 18062666     DOI: 10.1021/pr070547d

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


  18 in total

1.  Capillary LC-MS for high sensitivity metabolomic analysis of single islets of Langerhans.

Authors:  Qihui Ni; Kendra R Reid; Charles F Burant; Robert T Kennedy
Journal:  Anal Chem       Date:  2008-04-10       Impact factor: 6.986

2.  Metabolic signatures suggest o-phosphocholine to UDP-N-acetylglucosamine ratio as a potential biomarker for high-glucose and/or palmitate exposure in pancreatic β-cells.

Authors:  Saleem Yousf; Devika M Sardesai; Abraham B Mathew; Rashi Khandelwal; Jhankar D Acharya; Shilpy Sharma; Jeetender Chugh
Journal:  Metabolomics       Date:  2019-03-29       Impact factor: 4.290

3.  Metabolomic analysis of pancreatic β-cell insulin release in response to glucose.

Authors:  Mei Huang; Jamie W Joseph
Journal:  Islets       Date:  2012 May-Jun       Impact factor: 2.694

4.  Reducing time and increasing sensitivity in sample preparation for adherent mammalian cell metabolomics.

Authors:  Matthew A Lorenz; Charles F Burant; Robert T Kennedy
Journal:  Anal Chem       Date:  2011-04-01       Impact factor: 6.986

5.  Identification of an intracellular metabolic signature impairing beta cell function in the rat beta cell line INS-1E and human islets.

Authors:  I Goehring; N S Sauter; G Catchpole; A Assmann; L Shu; K S Zien; M Moehlig; A F H Pfeiffer; J Oberholzer; L Willmitzer; J Spranger; K Maedler
Journal:  Diabetologia       Date:  2011-07-28       Impact factor: 10.122

Review 6.  Metabolomics applied to the pancreatic islet.

Authors:  Jessica R Gooding; Mette V Jensen; Christopher B Newgard
Journal:  Arch Biochem Biophys       Date:  2015-06-25       Impact factor: 4.013

7.  Rapid changes of mRNA-binding protein levels following glucose and 3-isobutyl-1-methylxanthine stimulation of insulinoma INS-1 cells.

Authors:  Christin Süss; Cornelia Czupalla; Christof Winter; Theresia Pursche; Klaus-Peter Knoch; Michael Schroeder; Bernard Hoflack; Michele Solimena
Journal:  Mol Cell Proteomics       Date:  2008-10-14       Impact factor: 5.911

8.  Bottom-up proteomics analysis of the secretome of murine islets of Langerhans in elevated glucose levels.

Authors:  Andrew Schmudlach; Jeremy Felton; Robert T Kennedy; Norman J Dovichi
Journal:  Analyst       Date:  2017-01-16       Impact factor: 4.616

9.  Metabolomic profiling of cellular responses to carvedilol enantiomers in vascular smooth muscle cells.

Authors:  Mingxuan Wang; Jing Bai; Wei Ning Chen; Chi Bun Ching
Journal:  PLoS One       Date:  2010-11-24       Impact factor: 3.240

10.  Metabolomics applied to diabetes research: moving from information to knowledge.

Authors:  James R Bain; Robert D Stevens; Brett R Wenner; Olga Ilkayeva; Deborah M Muoio; Christopher B Newgard
Journal:  Diabetes       Date:  2009-11       Impact factor: 9.461

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