Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

AIN-2::GFP IP of mRNAs associated with miRISC in stage sychronized C. elegans populations

ABSTRACT: AIN-2::GFP IP were used to purify miRISC from stage sychronized C.elegans populations (Egg, L1, L2, L3 and L4 stages). The mRNA composition of the IP results and the corresponding total RNA samples were analyzed by WUSTL Caenorhabditis elegans Whole Genome 23k Oligo Array. The miRISC associated mRNAs (miRNA targets) in each stage were identified by measuring the relative enrichment of each mRNA in the IP sample versus the corresponding total RNA sample The mRNAs in AIN-2::GFP IP results (IP) and the corresponding input total lysate (tot) were analyzed for each stage (Egg, L1, L2, L3, and L4 stages). At least three independent biological replicates were analyzed for each stage.

ORGANISM(S): Caenorhabditis elegans

SUBMITTER: liang zhang

PROVIDER: E-GEOD-16208 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Systematic analysis of dynamic miRNA-target interactions during C. elegans development.

Zhang Liang L Hammell Molly M Kudlow Brian A BA Ambros Victor V Han Min M

Development (Cambridge, England) 20090812 18

Although microRNA (miRNA)-mediated functions have been implicated in many aspects of animal development, the majority of miRNA::mRNA regulatory interactions remain to be characterized experimentally. We used an AIN/GW182 protein immunoprecipitation approach to systematically analyze miRNA::mRNA interactions during C. elegans development. We characterized the composition of miRNAs in functional miRNA-induced silencing complexes (miRISCs) at each developmental stage and identified three sets of mi ...[more]

PMID: 19675127

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Project description:Identifying the physiological functions of microRNAs (miRNAs) is often challenging because miRNAs commonly impact gene expression under specific physiological conditions through complex miRNA::mRNA interaction networks and in coordination with other means of gene regulation, such as transcriptional regulation and protein degradation. Such complexity creates difficulties in dissecting miRNA functions through traditional genetic methods using individual miRNA mutations. To investigate the physiological functions of miRNAs in neurons, we combined a genetic M-bM-^@M-^\enhancerM-bM-^@M-^] approach complemented by biochemical analysis of neuronal miRNA-induced silencing complexes (miRISCs) in C. elegans. Total miRNA function can be compromised by mutating one of the two GW182 proteins (AIN-1), an important component of miRISC. We found that combining an ain-1 mutation with a mutation in unc-3, a neuronal transcription factor, resulted in an inappropriate entrance into the stress-induced, alternative larval stage known as dauer, indicating a role of miRNAs in preventing aberrant dauer formation. Analysis of this genetic interaction suggests that neuronal miRNAs perform such a role partly by regulating endogenous cyclic guanosine monophosphate (cGMP) signaling, potentially influencing two other dauer-regulating pathways. Through tissue-specific immunoprecipitations of miRISC, we identified miRNAs and their likely target mRNAs within neuronal tissue. We verified the biological relevance of several of these miRNAs and found that many miRNAs likely regulate dauer formation through multiple dauer-related targets. Further analysis of target mRNAs suggests potential miRNA involvement in various neuronal processes, but the importance of these miRNA::mRNA interactions remains unclear. Finally, we found that neuronal genes may be more highly regulated by miRNAs than intestinal genes. Overall, our study identifies miRNAs and their targets, and a physiological function of these miRNAs in neurons. It also suggests that compromising other aspects of gene expression, along with miRISC, can be an effective approach to reveal miRNA functions in specific tissues under specific physiological conditions. Each array was used for one biological replicate, where the red channel is used for IP RNA and the green channel is used for Total RNA. IP RNA indicates the transcripts associated with a neuronally expressed, GFP-tagged, miRISC. Five biological replicates were done on asynchronous worms. Please note the two different microarray platforms that were used.

Project description:The Drosophila spermatogenesis cell differentiation pathway involves the activation of a large set of genes in primary spermatocytes. Most of these genes are activated by testis-specific TATA-binding protein associated factors (tTAFs). In the current model for the activation mechanism, Polycomb plays a key role silencing these genes in the germline precursors, and tTAF-dependent activation in primary spermatocytes involves the displacement of Polycomb from gene promoters. We investigated the genome-wide binding of Polycomb in wild type and tTAF mutant testes. According to the model we expected to see a clear enhancement in Polycomb binding at tTAF-dependent spermatogenesis genes in tTAF mutant testes. However, we find little evidence for such an enhancement in tTAF mutant testes compared to wild type. To avoid problems arising from cellular heterogeneity in whole testis analysis, we further tested the model by analysing Polycomb binding in purified germline precursors, representing cells before tTAF-dependent gene activation. Although we find Polycomb associated with its canonical targets, we find little or no evidence of Polycomb at spermatogenesis genes. The lack of Polycomb at tTAF-dependent spermatogenesis genes in precursor cells argues against a model where Polycomb displacement is the mechanism of spermatogenesis gene activation. This genome-wide ChIP-array study investigates the binding of Polycomb in three biological samples: wild type (WT) whole testes, tTAF (can) mutant whole testes, and FACS-sorted germline precursor cells. We performed two biological replicates for each sample, except wild type whole testes where we performed three. For all ChIP-array experiments, input chromatin was used as the reference control to assay ChIP enrichment. We used Cy3/Cy5-labelled ChIP and input DNA for hybridisation onto Nimblegen arrays, and we performed a Cy3/Cy5 dye swap for one biological replicate of each sample (see supplementary file: GSE39935_README.txt).

Dataset Information

AIN-2::GFP IP of mRNAs associated with miRISC in stage sychronized C. elegans populations

Publications

Systematic analysis of dynamic miRNA-target interactions during C. elegans development.

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