Detecting novel low-abundant transcripts in Drosophila
Ontology highlight
ABSTRACT:
ORGANISM(S): Drosophila melanogaster
SUBMITTER: San Ming Wang
PROVIDER: E-GEOD-2347 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
Detecting novel low-abundant transcripts in Drosophila.
Lee Sanggyu S Bao Jingyue J Zhou Guolin G Shapiro Joshua J Xu Jinhua J Shi Run Zhang RZ Lu Xuemei X Clark Terry T Johnson Deborah D Kim Yeong C YC Wing Claudia C Tseng Charles C Sun Min M Lin Wei W Wang Jun J Yang Huanming H Wang Jian J Du Wei W Wu Chung-I CI Zhang Xiuqing X Wang San Ming SM
RNA (New York, N.Y.) 20050601 6
Increasing evidence suggests that low-abundant transcripts may play fundamental roles in biological processes. In an attempt to estimate the prevalence of low-abundant transcripts in eukaryotic genomes, we performed a transcriptome analysis in Drosophila using the SAGE technique. We collected 244,313 SAGE tags from transcripts expressed in Drosophila embryonic, larval, pupae, adult, and testicular tissue. From these SAGE tags, we identified 40,823 unique SAGE tags. Our analysis showed that 55% o ...[more]
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Project description:Increasing evidence suggests that low-abundant transcripts may play fundamental roles in biological processes. In an attempt to estimate the prevalence of low-abundant transcripts in eukaryotic genomes, we performed a transcriptome analysis in Drosophila using the SAGE technique. We collected 244,313 SAGE tags from transcripts expressed in Drosophila embryonic, larval, pupae, adult, and testicular tissue. From these SAGE tags, we identified 40,823 unique SAGE tags. Our analysis showed that 55% of the 40,823 unique SAGE tags are novel without matches in currently known Drosophila transcripts, and most of the novel SAGE tags have low copy numbers. Further analysis indicated that these novel SAGE tags represent novel low-abundant transcripts expressed from loci outside of currently annotated exons including the intergenic and intronic regions, and antisense of the currently annotated exons in the Drosophila genome. Our study reveals the presence of a significant number of novel low-abundant transcripts in Drosophila, and highlights the need to isolate these novel low-abundant transcripts for further biological studies. Keywords: other
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Project description:Detecting novel low-abundant transcripts in Drosophila
| PRJNA91637 | ENA
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