Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Characterization of MicroRNA Expression Profiles and the Discovery of Novel MicroRNAs Involved in Cancer during Human Embryonic Development

ABSTRACT: MicroRNAs (miRNAs), approximately 22-nucleotide non-coding RNA molecules, regulate a variety of pivotal physiological or pathological processes, including embryonic development and tumorigenesis. To obtain comprehensive expression profiles of miRNAs in human embryos, we characterized miRNA expression in weeks 4-6 of human embryonic development using miRNA microarrays and identified 50 human-embryo-specific miRNAs (HES-miRNAs). Furthermore, we selected three non-conserved or primate-specific miRNAs, hsa-miR-638, -720, and -1280, and examined their expression levels in various normal and tumor tissues. The results show that expression of most miRNAs is extremely low during early human embryonic development. In addition, the expression of some non-conserved or primate-specific miRNAs is significantly different between tumor and the corresponding normal tissue samples, suggesting that the miRNAs are closely related to the pathological processes of various tumors. This study presents the first comprehensive overview of miRNA expression during human embryonic development and offers immediate evidence of the relationship between human early embryonic development and tumorigenesis. Total 10 samples were used microRNAs microarrays hybridization, then the original data from 8 of 10 samples was used final data analysis. The samples ZN18, ZN46/47 and ZN75 were designated as Week 4 of human embryonic development; the samples ZN38, ZN43 and ZN63-1 were designated as Week 5 of human embryonic development; the samples ZN61 and ZN70 were designated as Week 6 of human embryonic development.

ORGANISM(S): Homo sapiens

SUBMITTER: Wenxin Li

PROVIDER: E-GEOD-46795 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:The extraocular muscles (EOMs) are a unique group of muscles that are anatomically and physiologically distinct from other skeletal muscles. Previously, we and others have shown that EOMs have a unique transcriptome and proteome. Here, we investigated the expression pattern of microRNAs (miRNAs) in EOM, as they may play a role in generating the unique EOM allotype. We screened LC Sciences miRNA microarrays covering the sequences of miRBase 10.0 to define the microRNAome of normal mouse EOM and tibialis anterior (TA) limb muscle. 74 miRNAs were found to be differentially regulated (p-value < 0.05) and 31 miRNAs (14 up-regulated and 17 down-regulated) were found to be differentially regulated at a signal strength > 500 including the muscle-specific miR-206, miR-1, miR-133a, miR-133b and miR-499. qPCR analysis was used to validate the differential expression. Bioinformatic tools were used to identify potential miRNA-mRNA-protein interactions and integrate data with previous transcriptome and proteomic profiling data. Luciferase assays using co-transfection of precursor miRNAs (pre-miRNAs) along with reporter constructs containing the 3â-untranslated region (3âUTR) of their predicted target genes were used to validate targeting by identified miRNAs. The definition of the EOM microRNAome complements existing transcriptome and proteome data about the molecular make-up of EOM and provides further insight into regulation of muscle genes. These data will also help to further explain the unique EOM muscle allotype and its differential sensitivity to diseases such as Duchenne's muscular dystrophy (DMD) and may assist in development of therapeutic strategies. Total RNA from four EOM and four TA tissue samples dissected from four adult male C57/Bl10 mice were used (TA served as control) to screen four LC Sciences microRNA Microarray chips. The chips contained microRNA sequences based on miRBase content 10.0 totalling 568 different miRNAs. Samples were labelled with Cy3 and Cy5 using dye-swap. Relative differences of miRNA expression was expressed as fold-changes EOM/TA, which were calculated after normalization across all four arrays.

Dataset Information

Characterization of MicroRNA Expression Profiles and the Discovery of Novel MicroRNAs Involved in Cancer during Human Embryonic Development

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets