Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of mouse pancreas in a developmental time series

ABSTRACT: Study to evaluate the expression of pancreas-specific genes at different developmental time points.

ORGANISM(S): Mus musculus

SUBMITTER: L. Marie Scearce

PROVIDER: E-CBIL-12 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Functional genomics of the endocrine pancreas: the pancreas clone set and PancChip, new resources for diabetes research.

Scearce L Marie LM Brestelli John E JE McWeeney Shannon K SK Lee Catherine S CS Mazzarelli Joan J Pinney Deborah F DF Pizarro Angel A Stoeckert Christian J CJ Clifton Sandra W SW Permutt M Alan MA Brown Juliana J Melton Douglas A DA Kaestner Klaus H KH

Diabetes 20020701 7

Over the past 5 years, microarrays have greatly facilitated large-scale analysis of gene expression levels. Although these arrays were not specifically geared to represent tissues and pathways known to be affected by diabetes, they have been used in both type 1 and type 2 diabetes research. To prepare a tool that is particularly useful in the study of type 1 diabetes, we have assembled a nonredundant set of 3,400 clones representing genes expressed in the mouse pancreas or pathways known to be a ...[more]

PMID: 12086925

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Project description:Inferring the heritability of gene expression is one of the main areas of the field of genetical genomics. With the possibility to treat the abundances of gene transcripts as a suite of quantitative traits, genetical genomics can make an extensive use of the microarray technology. Here we extended a major method for estimating the heritability of a quantitative trait, single parent-offspring regression, to assess the heritability of the expression of genes with two-channel microarrays. In a series of maternal parent-offspring pairs of Interior spruce (Picea glauca x engelmannii, our focus in the outer stem tissues is the expression of defense-related genes, the heritability of which can affect fitness and necessary for evolution by natural selection. Parent-offspring pairs of Interior spruce planted as a part of Tree Breeding and Improvement Program of the Forest Genetics Section, British Columbia Ministry of Forests and Range, Prince George, BC, Canada (http://www.for.gov.bc.ca/hre/forgen/interior/spruce.htm#1) were used. A total of 30 trees, comprising 15 parent-offpsring pairs were sampled. These include15 offsprings and 15 maternal parents (grafts), which were planted within ~ 1Km range west (122º 42’ 43’’W, 53º 45’41’’N) of the offsprings, hence grown in a relatively similar environment. The bark and the attached phloem were separated from inner layers in the mid-morning hours of June 25, 2008, flash-frozen in liquid nitrogen, and transferred into separate containers. A chain design was decided for gene expression profiling (a total of 45 slides) using the Treenomix third generation cDNA microarray platform (GEO accession #: GPL5423). Array350 kit (Genisphere, Hatfield, USA) was chosen for the microarray hybridizations. The slides were scanned with a ProScanArray scanner (PerkinElmer, Downers Grove, IL, USA), and the scanned TIF images were processed by ImaGene software (BioDiscovery, Inc., El Segundo, CA, USA) to quantify spot signals. Normalization was done between arrays using variance stabilizing (VSN) method for ratio based analysis of the expression data.

Project description:Colorectal cancer (CRC) is a genetically heterogeneous disease with several distinct morphological growth patterns. This study was aimed to investigate genes differentially expressed between ulcerative and polypoid colorectal CRC. cDNA microarray was first employed to compare the gene expression profiling of ulcerative and polypoid CRC with paired normal mucosa. Potential candidates identified by data filtering were further validated using quantitative real-time polymerase chain reaction, western blot and immunohistochemistry. Epigenetic regulation of gene expression was investigated using methylation-specific PCR (MSP). cDNA microarray identified 11 up-regulated and 14 down-regulated genes differentially expressed in both types of tumor compared to matched normal mucosa. Among them, S100P was the only upregulated gene preferentially associated with polypoid CRC (p = 0.032), whereas no genes demonstrated significantly differential association with ulcerative CRC. S100P protein and mRNA expression level of polypoid CRC was significantly higher than that of ulcerative CRC (p < 0.05, respectively). Immunoreactivity of S100P protein was localized predominantly in the nuclei and to a less extent in the cytoplasm. Overexpression of S100P occurred early in the adenoma stage. 80% (24/30) and 20% (6/30) polypoid CRC showed diffusely strong and moderate overexpression, respectively. In contrast, S100P was diffusely and strongly expressed in 15% (6/40) ulcerative CRC, with 52.5% (21/40) and 32.5% (13/40) tumors having moderate and weak overexpression, respectively. S100P overexpression was preferentially associated with polypoid CRC (p < 0.001). The relative methylation level determined by MSP was not statistically different between polypoid and ulcerative CRC (43.36% vs. 49.10%, p = 0.168), indicating that promoter hypomethylation was directly related to upregulation of S100P mRNA. The gene expression profiling of ulcerative and polypoid CRC with paired normal mucosa were compared. Dye swapping experiments with ulcerative CRC vs normal mucosa or polypoid CRC vs normal mucosa were performed and we averaged the log ratios of the duplicated spots on each slide.

Dataset Information

Transcription profiling of mouse pancreas in a developmental time series

Publications

Functional genomics of the endocrine pancreas: the pancreas clone set and PancChip, new resources for diabetes research.

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