Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of rat kidney samples following treatment with the corticosteroid methylprednisolone over several time intervals

ABSTRACT: Summary: To identify distinct temporal patterns of mRNA expression in the kidney of rats following a bolus dose of the corticosteroid methylprednisolone. Hypothesis: That prednisone pharmacodynamics can be derived from expression profiling data.

ORGANISM(S): Rattus norvegicus

SUBMITTER: Eric Hoffman

PROVIDER: E-GEOD-1721 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Corticosteroid-regulated genes in rat kidney: mining time series array data.

Almon Richard R RR Lai William W DuBois Debra C DC Jusko William J WJ

American journal of physiology. Endocrinology and metabolism 20050628 5

Kidney is a major target for adverse effects associated with corticosteroids. A microarray dataset was generated to examine changes in gene expression in rat kidney in response to methylprednisolone. Four control and 48 drug-treated animals were killed at 16 times after drug administration. Kidney RNA was used to query 52 individual Affymetrix chips, generating data for 15,967 different probe sets for each chip. Mining techniques applicable to time series data that identify drug-regulated change ...[more]

PMID: 15985454

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Project description:Background: The differential expression pattern of microRNAs (miRNAs) during mammary gland development might provide insights into their role in regulating the homeostasis of the breast epithelium. Our aim was to analyse these regulatory functions by deriving a comprehensive tissue-specific combined miRNA and mRNA expression profile of post-natal mouse mammary gland development. We measured the expression of 318 individual murine miRNAs by bead-based flow-cytometric profiling of whole mouse mammary glands throughout a 16-point developmental time course, including juvenile, puberty, mature virgin, gestation, lactation, and involution stages. In parallel whole-genome mRNA expression data were obtained. Results: One third (n = 102) of all murine miRNAs analysed were present during mammary gland development. MicroRNAs were represented in seven temporally co-expressed clusters, which were enriched for both miRNAs belonging to the same family and breast cancer-associated miRNAs. Global miRNA and mRNA expression was significantly reduced during lactation and the early stages of involution after weaning. For most detected miRNA families we did not observe systematic changes in the expression of predicted targets. For miRNA families whose targets did show significant changes, we observed inverse patterns of miRNA and target expression. The datasets are made publicly available and the combined expression profiles represent an important community resource for mammary gland biology research. Conclusions: MicroRNAs were expressed in co-regulated clusters during mammary gland development. Breast cancer-associated miRNAs were significantly enriched in these clusters. The mechanism and functional consequences of this miRNA co-regulation and its correlation with mRNA expression provide new avenues for research into mammary gland biology and generates candidates for functional validation. Developmental time course over 16 time points with 1-3 independent biological replicates per time point and three pairs of technical replicates, 40 samples in total

Dataset Information

Transcription profiling of rat kidney samples following treatment with the corticosteroid methylprednisolone over several time intervals

Publications

Corticosteroid-regulated genes in rat kidney: mining time series array data.

Similar Datasets

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