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High-resolution expression profiling of selected gene sets during plant immune activation.
Plant Biotechnology Journal ( IF 10.1 ) Pub Date : 2020-01-08 , DOI: 10.1111/pbi.13327
Pingtao Ding 1 , Bruno Pok Man Ngou 1 , Oliver J Furzer 1 , Toshiyuki Sakai 1 , Ram Krishna Shrestha 1 , Dan MacLean 1 , Jonathan D G Jones 1
Affiliation  

The plant immune system involves detection of pathogens via both cell‐surface and intracellular receptors. Both receptor classes can induce transcriptional reprogramming that elevates disease resistance. To assess differential gene expression during plant immunity, we developed and deployed quantitative sequence capture (CAP‐I). We designed and synthesized biotinylated single‐strand RNA bait libraries targeted to a subset of defense genes, and generated sequence capture data from 99 RNA‐seq libraries. We built a data processing pipeline to quantify the RNA‐CAP‐I‐seq data, and visualize differential gene expression. Sequence capture in combination with quantitative RNA‐seq enabled cost‐effective assessment of the expression profile of a specified subset of genes. Quantitative sequence capture is not limited to RNA‐seq or any specific organism and can potentially be incorporated into automated platforms for high‐throughput sequencing.

中文翻译:

植物免疫激活过程中选定基因集的高分辨率表达谱。

植物免疫系统涉及通过细胞表面和细胞内受体检测病原体。这两种受体类别都可以诱导转录重编程,从而提高抗病性。为了评估植物免疫过程中的差异基因表达,我们开发并部署了定量序列捕获 (CAP-I)。我们设计并合成了针对防御基因子集的生物素化单链 RNA 诱饵文库,并从 99 个 RNA-seq 文库中生成了序列捕获数据。我们构建了一个数据处理管道来量化 RNA-CAP-I-seq 数据,并可视化差异基因表达。序列捕获与定量 RNA-seq 相结合,能够对特定基因子集的表达谱进行经济高效的评估。
更新日期:2020-01-08
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