Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Identifying microRNA-mRNA regulatory networks in colorectal cancer by a combination of expression profile and bioinformatics analysis

ABSTRACT: A multi-step approach combining microarray profile and bioinformatics analysis was adopted to identify the CRC specific miRNA-mRNA regulatory network. First, differentially expressed miRNAs and mRNAs were found out in CRC samples compared with normal epithelial tissues by miRNA and mRNA microarray respectively. Secondly the target mRNAs of dysregualted miRNA were identified by a combination of Pearson correlation coefficient between the expression level of miRNAs and mRNAs and online miRNA target predicting databases. Thirdly, the biological pathways which the miRNA-mRNA pairs involved in were identified by DAVID. Finally, some of the dysregualted miRNAs and mRNAs were validated by qRT-PCR RNA isolated from 8 colorectal cancer tissues and their corresponding adjacent normal tissues were analyzed.

ORGANISM(S): Homo sapiens

SUBMITTER: Jihong Fu

PROVIDER: E-GEOD-35982 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identifying microRNA-mRNA regulatory network in colorectal cancer by a combination of expression profile and bioinformatics analysis.

Fu Jihong J Tang Wentao W Du Peng P Wang Guanghui G Chen Wei W Li Jingming J Zhu Yunxiang Y Gao Jun J Cui Long L

BMC systems biology 20120615

<h4>Background</h4>MicroRNAs (miRNAs) are involved in carcinogenesis and tumor progression by regulating post-transcriptional gene expression. However, the miRNA-mRNA regulatory network is far from being fully understood. The objective of this study is to identify the colorectal cancer (CRC) specific miRNAs and their target mRNAs using a multi-step approach.<h4>Results</h4>A multi-step approach combining microarray miRNA and mRNA expression profile and bioinformatics analysis was adopted to iden ...[more]

PMID: 22703586

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Project description:While modern radiotherapy technologies can precisely deliver higher doses of radiation to tumors; thus, reducing overall radiation exposure to normal tissues, moderate dose and normal tissue toxicity still remains a significant limitation. The present study profiled the global effects on transcript and miR expression in Human Coronary Artery Endothelial Cells (HCAECs) using single-dose irradiation (SD, 10Gy) or multi-fractionated irradiation (MF, 2Gy x 5) regimens. Longitudinal timepoints were collected after a SD or final dose of MF irradiation for analysis using Agilent Human Gene Expression and miRNA microarray platforms. Compared to SD, the exposure to MF resulted in robust transcript and miR expression changes in terms of the number and magnitude. For data analysis, statistically significant mRNAs (2-fold) and miRs (1.5-fold) were processed by Ingenuity Pathway Analysis (IPA) to uncover miRs associated with target transcripts from several cellular pathways post-irradiation. Interestingly, MF radiation induced a cohort of mRNAs and miRs that coordinate the induction of immune response pathway under tight regulation. Additionally, mRNAs and miRs associated with DNA replication, recombination and repair, apoptosis, cardiovascular events and angiogenesis were revealed. Human Coronary Artery Endothelial Cells (HCAECs) were irradiated in a PANTAK high frequency X-ray generator (Precision X-ray Inc., N. Bedford, CT), operated at 300kV and 10MA. The dose rate was 1.6 Gy per min. Cells were plated into T75cm2 flasks (1-1.5 x 10^6 for single dose radiation and 0.6-0.8 x 10^6 for fractionated radiation). After 24h, cells were exposed to a total of 10 Gy radiation administered either as a single-dose radiation (SD), or as multi-fractionated radiation of 2 Gy x 5 (MF). These non-isoeffective doses were selected to simulate clinical hypofractionated and conventionally fractionated radiotherapy regimens. For the MF protocol, cells were exposed to 2 Gy radiation twice a day, at 6h interval. The cells were approximately 90% confluent at the time of harvesting. For both protocols, radiation-induced changes were analyzed at 6h and 24h after a SD and 6h and 24h after the final dose of fractionated irradiation. Separate controls were maintained for SD and MF radiation protocols.

Dataset Information

Identifying microRNA-mRNA regulatory networks in colorectal cancer by a combination of expression profile and bioinformatics analysis

Publications

Identifying microRNA-mRNA regulatory network in colorectal cancer by a combination of expression profile and bioinformatics analysis.

Similar Datasets

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