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Boosting the power of transcriptomics by developing an efficient gene expression profiling approach
Plant Biotechnology Journal ( IF 10.1 ) Pub Date : 2021-09-12 , DOI: 10.1111/pbi.13706
Jing Wang 1 , Jun Xu 1, 2 , Xiaohan Yang 1, 2 , Song Xu 1, 2 , Ming Zhang 1, 2 , Fei Lu 1, 2, 3
Affiliation  

Recent advances in plant genomics are scaling up gene expression profiling from the individual level to the population level, making transcriptomics a more powerful tool while deciphering the genome function. This study developed an efficient 3′RNA-seq method, Simplified Poly(A) Anchored Sequencing (SiPAS), to perform large-scale experiments of gene expression quantification. Aside from being cost-effective, by conducting a comprehensive performance assessment of SiPAS in hexaploid wheat, we demonstrated that SiPAS is highly sensitive, accurate, and reproducible while quantifying gene expression. Our method is anticipated to boost studies of population transcriptomics in plants and improve our understanding of genome biology.

中文翻译:

通过开发有效的基因表达谱分析方法来提高转录组学的能力

植物基因组学的最新进展正在将基因表达谱从个体水平扩展到群体水平,使转录组学成为更强大的工具,同时破译基因组功能。本研究开发了一种高效的 3'RNA-seq 方法,即简化的 Poly(A) 锚定测序 (SiPAS),用于进行基因表达定量的大规模实验。除了具有成本效益外,通过对六倍体小麦中的 SiPAS 进行全面的性能评估,我们证明了 SiPAS 在量化基因表达时具有高灵敏度、准确和可重复性。我们的方法有望促进植物种群转录组学的研究,并提高我们对基因组生物学的理解。
更新日期:2021-09-12
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