2008
DOI: 10.1002/pmic.200700779
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Proteomic and transcriptomic analysis for streptozotocin‐induced diabetic rat pancreas in response to fungal polysaccharide treatments

Abstract: In an attempt to search for novel biomarkers for monitoring diabetes prognosis, we examined the influence of the hypoglycemic fungal extracellular polysaccharides (EPS) on the differential change in pancreatic proteome and transcriptome in streptozotocin (STZ)-induced diabetic rats using 2-DE-based protein mapping and oligonucleotide microarray analysis. The 2-DE system separated more than 2000 individual spots, demonstrating that 34 proteins out of about 500 matched spots were differentially expressed. A tota… Show more

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Cited by 27 publications
(22 citation statements)
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References 99 publications
(108 reference statements)
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“…After electrophoresis, the proteins on the gel are visualized and quantified by gel staining, such as Coomassie Brilliant Blue staining and SYPRO Ruby staining, and protein spots of interest are typically excised, digested and then identified using MS. A 2D-DIGE that utilizes fluorescent tags (Cy2, Cy3 and Cy5) to analyze multiple samples simultaneously can further improve protein quantification by 2DE [27,32]. While 2DE is still one of the commonly applied proteomic technologies in diabetes research [3336], the technique has several inherent limitations, such as the laborious process of identifying proteins from individual gel spots by MS and the low sensitivity for detecting low-abundance proteins, as well as proteins with extreme molecular weight, isoelectric point or hydrophobicity.…”
Section: Quantitative Proteomic Technologiesmentioning
confidence: 99%
“…After electrophoresis, the proteins on the gel are visualized and quantified by gel staining, such as Coomassie Brilliant Blue staining and SYPRO Ruby staining, and protein spots of interest are typically excised, digested and then identified using MS. A 2D-DIGE that utilizes fluorescent tags (Cy2, Cy3 and Cy5) to analyze multiple samples simultaneously can further improve protein quantification by 2DE [27,32]. While 2DE is still one of the commonly applied proteomic technologies in diabetes research [3336], the technique has several inherent limitations, such as the laborious process of identifying proteins from individual gel spots by MS and the low sensitivity for detecting low-abundance proteins, as well as proteins with extreme molecular weight, isoelectric point or hydrophobicity.…”
Section: Quantitative Proteomic Technologiesmentioning
confidence: 99%
“…In each group the gene expression profiles of adipose tissues from normal, OP, and OR rats were generated using the Illumina RatRef-12 Bead Chip, which includes 21,290 probe sets representing >11,360 known genes and 6,856 expressed sequence tags with unknown functions. In this study, the PANTHER classification system (http:/ /www.pantherdb.org) was used for classification of genes according to their functions [25]. In brief, gene lists can be uploaded to the size and analyzed relative to molecular functions, biological processes, and pathways.…”
Section: Microarray Data Analysismentioning
confidence: 99%
“…In-gel digestion was performed using modified porcine trypsin according to the methods outlined by our previous method [27]. Each of the silver-stained gels was washed with 50% acetonitrile to remove SDS, salts, and the stain.…”
Section: Digestion Of Protein In Gelmentioning
confidence: 99%
“…A series of proteomic studies have been performed on both whole pancreatic tissues as well as isolated islets of Langerhans from mice [21,22] and rats [14][15][16][17][18][19][20][21][22][23][24][25][26][27]. However, those pancreatic proteome profiling studies were not aimed to investigate proteomic alterations in response to treatment with anti-diabetic agents or other environmental stimuli.…”
Section: Introductionmentioning
confidence: 99%