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| Status |
Public on Sep 05, 2018 |
| Title |
RIP-Chip analysis supports different roles for AGO2 and GW182 proteins in recruiting and processing microRNA targets (mRNA) |
| Organism |
Homo sapiens |
| Experiment type |
Other
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| Summary |
MicroRNAs are small non-coding RNA molecules mediating the translational repression and degradation of target mRNAs in the cell. Mature miRNAs are used as a template by the RNA-induced silencing complex (RISC) to recognize the complementary mRNAs to be regulated. To discern further RISC complex functions, we analyzed the activities of two RISC proteins, AGO2 and GW182, in the MCF-7 human breast cancer cell line. We performed three RIP-Chip experiments using either anti-AGO2 or anti-GW182 antibody and compiled a dataset made up of the miRNA and mRNA expression profiles of three samples for each experiment. Specifically, we analyzed the input sample, the immunoprecipitated fraction and the unbound sample resulting from the RIP experiment. We used the expression profile of the input sample to compute several variables, using formulae capable of integrating the information on predicted miRNA binding sites, both in the 3’UTR and coding regions, with miRNA and mRNA expression level profiles. We compared immunoprecipitated vs unbound samples to determine the differentially expressed genes, independently for AGO2 and GW182 related samples. For each of the two proteins, we trained and tested several support vector machine algorithms able to predict the differentially expressed genes that were experimentally detected. The most efficient algorithm for predicting the over-expressed genes in AGO2 immunoprecipitated samples was trained by using variables involving the number of binding sites in both the 3’UTR and coding region, integrated with the miRNA expression profile, as expected for miRNA targets. On the other hand, we found that the best variable for predicting over-expressed genes in the GW182 immunoprecipitated sample was the length of the coding region. Due to the major role of GW182 in GW/P-bodies, our data suggests that the AGO2-GW182 RISC complex recruits genes based on miRNA binding sites in the 3’UTR and coding region, but only the longer mRNAs remain sequestered in GW/P-bodies, functioning as a repository for translationally silenced RNAs.
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| Overall design |
We performed three independent RIP-Chip experiment for each of the two protein AGO2 and GW182 in MCF-7 human breast cancer cell line. In each experiment we analyzed three samples: the Input sample (IN), the immunoprecipitated fraction (IP) and the unbound sample resulting from the RIP experiment (FT). Each sample was analyzed with human whole genome microarray and microRNA microarray, mostly in two replicates.
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| Contributor(s) |
Perconti G, Rubino P, Contino F, Bivona S, Feo S, Giallongo A, Coronnello C |
| Citation(s) |
30999843 |
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| Submission date |
Jan 25, 2018 |
| Last update date |
May 02, 2019 |
| Contact name |
Claudia Coronnello |
| E-mail(s) |
corocla@gmail.com
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| Organization name |
Fondazione RiMED
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| Street address |
via Bandiera 11
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| City |
Palermo |
| ZIP/Postal code |
90138 |
| Country |
Italy |
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| Platforms (1) |
| GPL10332 |
Agilent-026652 Whole Human Genome Microarray 4x44K v2 (Feature Number version) |
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| Samples (34)
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| This SubSeries is part of SuperSeries: |
| GSE109667 |
RIP-Chip analysis supports different roles for AGO2 and GW182 proteins in recruiting and processing microRNA targets |
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| Relations |
| BioProject |
PRJNA431618 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE109665_RAW.tar |
518.9 Mb |
(http)(custom) |
TAR (of TXT) |
| Processed data included within Sample table |
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