| Title |
RIP-chip-SRM—a new combinatorial large-scale approach identifies a set of translationally regulated bantam/miR-58 targets in C. elegans
|
|---|---|
| Published in |
Genome Research, March 2012
|
| DOI | 10.1101/gr.133330.111 |
| Pubmed ID | |
| Authors | |
| Abstract |
MicroRNAs (miRNAs) are small, noncoding RNAs that negatively regulate gene expression. As miRNAs are involved in a wide range of biological processes and diseases, much effort has been invested in identifying their mRNA targets. Here, we present a novel combinatorial approach, RIP-chip-SRM (RNA-binding protein immunopurification + microarray + targeted protein quantification via selected reaction monitoring), to identify de novo high-confidence miRNA targets in the nematode Caenorhabditis elegans. We used differential RIP-chip analysis of miRNA-induced silencing complexes from wild-type and miRNA mutant animals, followed by quantitative targeted proteomics via selected reaction monitoring to identify and validate mRNA targets of the C. elegans bantam homolog miR-58. Comparison of total mRNA and protein abundance changes in mir-58 mutant and wild-type animals indicated that the direct bantam/miR-58 targets identified here are mainly regulated at the level of protein abundance, not mRNA stability. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| New Zealand | 1 | 25% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 6% |
| United Kingdom | 2 | 2% |
| Sweden | 1 | 1% |
| Portugal | 1 | 1% |
| Mexico | 1 | 1% |
| Spain | 1 | 1% |
| Switzerland | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 71 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 38% |
| Student > Ph. D. Student | 14 | 17% |
| Professor | 10 | 12% |
| Professor > Associate Professor | 6 | 7% |
| Student > Master | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 70% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Medicine and Dentistry | 2 | 2% |
| Neuroscience | 2 | 2% |
| Immunology and Microbiology | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 11 | 13% |