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Identification of Pancreatic Exocrinopathy in Non-Obese Diabetic Mice by Gene Subtraction Analysis

Authors :
Manfred Kauer
Stephan Martin
Gornitzka G
Hubert Kolb
Hansner T
Source :
Experimental and Clinical Endocrinology & Diabetes. 112:288-293
Publication Year :
2004
Publisher :
Georg Thieme Verlag KG, 2004.

Abstract

Type 1 diabetes is an immune-mediated disease with pancreatic infiltration and subsequent beta cell destruction. In this study pancreatic exocrinopathy in non-obese diabetic mice (NOD) was identified using gene subtraction methods (SSH) and macroarray analysis. Female NOD mice were treated with cyclophosphamide for acceleration and synchronization of the disease process at 70 d of age and analysed 10 d later, before the onset of overt diabetes. Extraction of total RNA of pancreas was followed by subtraction using the SSH technique. Pools of cDNA were generated using total RNA from treated and untreated NOD mice. Subtraction of cDNA pools of cyclophosphamide treated mice from cDNA pools of untreated mice resulted in a cDNA library, from which 480 clones were randomly selected. The clones were hybridized against labelled cDNA-probes generated from cyclophosphamide-treated and control NOD mice. Fifty-three clones (11 %) revealed at least twofold differential gene expression after cyclophosphamide treatment. Three of the downregulated genes (amylase, carboxypeptidase and preprotrypsin) were selected for evaluation of macroarray data by quantitative real-time PCR. Analysis of real-time PCR data confirmed suppression of gene expression with highest fold change for amylase (4.68-fold) followed by carboxypeptidase (2.79-fold) and preprotrypsin (2.14-fold). These results lead to the conclusion that inflammation in this animal model of type 1 diabetes is not restricted to pancreatic islets and that subtraction followed by macroarray analysis is capable of identifying genes responsible associated with disease progression.

Details

ISSN :
14393646 and 09477349
Volume :
112
Database :
OpenAIRE
Journal :
Experimental and Clinical Endocrinology & Diabetes
Accession number :
edsair.doi.dedup.....a4e667a22ac40b5ca825b726ae0c8888