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Boosting the power of transcriptomics by developing an efficient gene expression profiling approach.


ABSTRACT: 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.

SUBMITTER: Wang J 

PROVIDER: S-EPMC8710826 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Boosting the power of transcriptomics by developing an efficient gene expression profiling approach.

Wang Jing J   Xu Jun J   Yang Xiaohan X   Xu Song S   Zhang Ming M   Lu Fei F  

Plant biotechnology journal 20210923 1


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 dem  ...[more]

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