five

C. elegans: total mRNA vs. AWA-specifc mRNA

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE112610
下载链接
链接失效反馈
官方服务:
资源简介:
Transcriptional profiling of AWA neurons comparing total mRNA of C. elegans The aforementioned results provided us a clear indication that a GPCR expressed in AWA would likely be used for pheromone perception. To get a male AWA-specific expression profile, we adopted a poly-A-binding protein (PABP) mRNA pull-down approach to isolate cell-specific genes (Kunitomo et al., 2005) and co-transformed into the worms a sex determination gene, fem-3, to masculinize its nervous system. Ectopic expression of fem-3 in all neurons can change the entire nervous system to adopt a male identity (Ahringer & Kimble, 1991; Rosenquist & Kimble, 1988). We established the male AWA single-cell transcriptional profile by pooling mRNA from AWA with ectopic expression of PABP there driven by an AWA-specific promoter from odr-7. This PABP fused with an epitope protein tag (FLAG tag) is then extracted using the corresponding antibody, while AWA enriched transcripts with poly-A tail, including the GPCRs, were pulled down together and subjected to microarray analysis. The results confirmed the existence of dyp-13 (hypodermal gene), myo-3 (muscle gene) and odr-10 (AWA-specific over-expression gene) in total RNA samples while odr-10 was found to be over-expressed in AWA enriched sample, where dpy-13 and myo-3 were depleted. The pull-down RNA sample was labeled with cyanine 5 (which is excited by a 532nm laser) and the total RNA sample was labeled with cyanine 3 (which is excited by a 633nm laser). Comparison between transcriptome profiles revealed key differences between whole worm and male AWA neurons, which allows identification of male AWA-enriched transcripts including those encoding GPCRs. Two-condition experiment, AWA-specific pull-down mRNA vs. total mRNA. Biological replicates: 4 control replicates, 4 AWA-specific pull-down replicates.
创建时间:
2018-04-04
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作