Drosophila melanogaster
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA90587 | ENA |
REPOSITORIES: ENA
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Project description:The method of mRNA tagging was recently developed to isolate mRNA population from muscle tissues in Caenohabditis elegans. This method utilizes a FLAG-tagged poly(A)-binding protein (PABP), which can bind to poly(A)-tail of eukaryotic mRNA. Thus, the mRNA population from specific tissue, in which FLAG- tagged PABP is expressed, can be co-immunoprecipitated with FLAG-tagged PABP using FLAG-specific antibody. To evaluate the applicability of this method to isolate mRNA from specific tissue in Drosophila, we generated Rh1-GLA4/P{UAS-dPABP-FLAG} flies which express a FLAG-tagged PABP in photoreceptor cells R1-R6. We then prepared 4 individual mRNA samples (subset 1: GSM30900-30903)) presumably from photoreceptor cells of these flies by mRNA tagging method. We also prepared 4 individual mRNA samples (subset 2: GSM30832-30835) from whole heads of the Rh1-GAL4/P{UAS-dPABP-FLAG} flies, as well as 6 individual mRNA samples (subset 3: GSM30824-30828, GSM30830) from whole heads of wild type Canton-S flies. The total 14 mRNA samples were used to synthesize target separately and each of the resultant target was used to hybridize with 1 Drosophila Genome Array DrosGenome1 Affymetrix GeneChip. The raw data of the 14 microarray were imported to dChip program (version 1.3). The arrays were normalized to a common baseline array that has the median overall brightness. The expression value for each probe set on each chip was then calculated as model-based expression index (MBEI) by Perfect Match-only model. By comparing the results of subset 1 and subset 2, we found most known photoreceptor-specific genes were indeed enriched by mRNA tagging. Through the comparison of the results of subset 2 and subset 3, we found the mRNAs of most genes known to be involved in fly visual function were underrepresented in subset 2, which could be due to squelching effect of GAL4. By combining the data of subset 1, 2 and 3, we were able to identify 11 new photoreceptor cell-enriched genes.
2008-06-12 | E-GEOD-1790 | biostudies-arrayexpress
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Project description:The method of mRNA tagging was recently developed to isolate mRNA population from muscle tissues in Caenohabditis elegans. This method utilizes a FLAG-tagged poly(A)-binding protein (PABP), which can bind to poly(A)-tail of eukaryotic mRNA. Thus, the mRNA population from specific tissue, in which FLAG- tagged PABP is expressed, can be co-immunoprecipitated with FLAG-tagged PABP using FLAG-specific antibody. To evaluate the applicability of this method to isolate mRNA from specific tissue in Drosophila, we generated Rh1-GLA4/P{UAS-dPABP-FLAG} flies which express a FLAG-tagged PABP in photoreceptor cells R1-R6. We then prepared 4 individual mRNA samples (subset 1: GSM30900-30903)) presumably from photoreceptor cells of these flies by mRNA tagging method. We also prepared 4 individual mRNA samples (subset 2: GSM30832-30835) from whole heads of the Rh1-GAL4/P{UAS-dPABP-FLAG} flies, as well as 6 individual mRNA samples (subset 3: GSM30824-30828, GSM30830) from whole heads of wild type Canton-S flies. The total 14 mRNA samples were used to synthesize target separately and each of the resultant target was used to hybridize with 1 Drosophila Genome Array DrosGenome1 Affymetrix GeneChip. The raw data of the 14 microarray were imported to dChip program (version 1.3). The arrays were normalized to a common baseline array that has the median overall brightness. The expression value for each probe set on each chip was then calculated as model-based expression index (MBEI) by Perfect Match-only model. By comparing the results of subset 1 and subset 2, we found most known photoreceptor-specific genes were indeed enriched by mRNA tagging. Through the comparison of the results of subset 2 and subset 3, we found the mRNAs of most genes known to be involved in fly visual function were underrepresented in subset 2, which could be due to squelching effect of GAL4. By combining the data of subset 1, 2 and 3, we were able to identify 11 new photoreceptor cell-enriched genes. Keywords: other
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Project description:Drosophila melanogaster is a well-studied genetic model organism with several large-scale transcriptome resources. Here we investigate 7,952 proteins during the fly life cycle from embryo to adult and also provide a high-resolution temporal time course proteome of 5,458 proteins during embryogenesis. We use our large scale data set to compare transcript/protein expression, uncovering examples of extreme differences between mRNA and protein abundance. In the embryogenesis proteome, the time delay in protein synthesis after transcript expression was determined. For some proteins, including the transcription factor lola, we monitor isoform specific expression levels during early fly development. Furthermore, we obtained firm evidence of 268 small proteins, which are hard to predict by bioinformatics. We observe peptides originating from non-coding regions of the genome and identified Cyp9f3psi as a protein-coding gene. As a powerful resource to the community, we additionally created an interactive web interface (http://www.butterlab.org) advancing the access to our data.
2017-04-07 | PXD005713 | Pride
Project description:Drosophila melanogaster is a well-studied genetic model organism with several large-scale transcriptome resources. Here we investigate 7,952 proteins during the fly life cycle from embryo to adult and also provide a high-resolution temporal time course proteome of 5,458 proteins during embryogenesis. We use our large scale data set to compare transcript/protein expression, uncovering examples of extreme differences between mRNA and protein abundance. In the embryogenesis proteome, the time delay in protein synthesis after transcript expression was determined. For some proteins, including the transcription factor lola, we monitor isoform specific expression levels during early fly development. Furthermore, we obtained firm evidence of 268 small proteins, which are hard to predict by bioinformatics. We observe peptides originating from non-coding regions of the genome and identified Cyp9f3psi as a protein-coding gene. As a powerful resource to the community, we additionally created an interactive web interface (http://www.butterlab.org) advancing the access to our data.
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