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High‐resolution expression profiling of selected gene sets during plant immune activation

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 quantita...

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Detalles Bibliográficos
Autores principales: Ding, Pingtao, Ngou, Bruno Pok Man, Furzer, Oliver J., Sakai, Toshiyuki, Shrestha, Ram Krishna, MacLean, Dan, Jones, Jonathan D. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292544/
https://www.ncbi.nlm.nih.gov/pubmed/31916350
http://dx.doi.org/10.1111/pbi.13327
Descripción
Sumario: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.