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| Status |
Public on Mar 20, 2010 |
| Title |
Gene expression profiles of beta-cell enriched tissue obtained by Laser Capture Microdissection from subjects with type 2 diabetes |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
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| Summary |
Changes in gene expression in pancreatic beta-cells from type 2 diabetes could provide insights into their abnormal insulin secretion and beta-cell turnover. The laser capture microdissection technique was used to acquire beta-cells from pancreatic tissue sections obtained from type 2 diabetic (T2D) and non-diabetic controls. We found that 4% of analyzed transcripts were differentially expressed between the two groups at the lower confidence bound cutoff of 1.2, and, among the differentially expressed transcripts, 62% were up-regulated and 38% down-regulated in samples of T2D subjects compared to non-diabetic controls. We observed: 1) changes in expression of genes linked to glucotoxicity, in particular, up-regulation of LDHA and PCK1, and down-regulation of GPD2, ME1 and ACLY; 2) evidence of oxidative stress, documented by up-regulation of metallothionein genes; 3) few changes in the major genes associated with cell cycle, apoptosis or endoplasmic reticulum stress; 4) differential expression of genes associated with pancreatic regeneration, most notably up-regulation of members of the regenerating islet gene (REG) family and metalloproteinase 7; and 5) differential expression of some genes found in genome wide association studies to be related to T2D (IGF2BP2, TSPAN8, and HNF1B were up-regulated, while JAZF1 and SLC30A8 were down-regulated). In conclusion, this study has identified many novel changes in pancreatic beta-cell gene expression that enhance the understanding of the pathogenesis of T2D.
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| Overall design |
The gene expression profile of beta-cells obtained from cadaver pancreases of 10 control and 10 type 2 diabetic subjects was evaluated. Beta-cells were acquired from pancreatic tissue sections using the laser capture microdissection technique. RNA was extracted, amplified, biotinylated and hybridized to GeneChip Human X3P Array (Affymetrix). Array data were normalized and analysis was performed using the DNA-Chip Analyzer software.
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| Contributor(s) |
Marselli L, Thorne J, Dahiya S, Sgroi DC, Sharma A, Bonner-Weir S, Marchetti P, Weir GC |
| Citation(s) |
20644627 |
| Submission date |
Mar 19, 2010 |
| Last update date |
Mar 22, 2012 |
| Contact name |
Lorella Marselli |
| E-mail(s) |
Lorella.Marselli@med.unipi.it
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| Phone |
+39 050 995135
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| Fax |
+39 050 541521
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| Organization name |
Harvard Medical School
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| Department |
Joslin Diabetes Center and the Department of Medicine
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| Lab |
Section on Islet Transplantation and Cell Biology
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| Street address |
One Joslin Place
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| City |
Boston |
| State/province |
MA |
| ZIP/Postal code |
02215 |
| Country |
USA |
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| Platforms (1) |
| GPL1352 |
[U133_X3P] Affymetrix Human X3P Array |
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| Samples (20)
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| GSM524151 |
beta-cells_non-diabetic condition_donor1 |
| GSM524152 |
beta-cells_non-diabetic condition_donor2 |
| GSM524153 |
beta-cells_non-diabetic condition_donor3 |
| GSM524154 |
beta-cells_non-diabetic condition_donor4 |
| GSM524155 |
beta-cells_non-diabetic condition_donor5 |
| GSM524156 |
beta-cells_non-diabetic condition_donor6 |
| GSM524157 |
beta-cells_non-diabetic condition_donor7 |
| GSM524158 |
beta-cells_non-diabetic condition_donor8 |
| GSM524159 |
beta-cells_non-diabetic condition_donor9 |
| GSM524160 |
beta-cells_non-diabetic condition_donor10 |
| GSM524161 |
beta-cells_diabetic condition_donor1 |
| GSM524162 |
beta-cells_diabetic condition_donor2 |
| GSM524163 |
beta-cells_diabetic condition_donor3 |
| GSM524164 |
beta-cells_diabetic condition_donor4 |
| GSM524165 |
beta-cells_diabetic condition_donor5 |
| GSM524166 |
beta-cells_diabetic condition_donor6 |
| GSM524167 |
beta-cells_diabetic condition_donor7 |
| GSM524168 |
beta-cells_diabetic condition_donor8 |
| GSM524169 |
beta-cells_diabetic condition_donor9 |
| GSM524170 |
beta-cells_diabetic condition_donor10 |
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| Relations |
| BioProject |
PRJNA124531 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE20966_RAW.tar |
90.3 Mb |
(http)(custom) |
TAR (of CEL) |
| Processed data included within Sample table |
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