Plant Biotechnology Journal
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.
| 论文编号: | DOI:10.1111/pbi.13706 |
| 论文题目: | Boosting Power of Transcriptomics by Developing an Efficient Gene Expression Profiling Approach |
| 英文论文题目: | Boosting Power of Transcriptomics by Developing an Efficient Gene Expression Profiling Approach |
| 第一作者: | Jing Wang, Jun Xu, Xiaohan Yang, Song Xu, Ming Zhang, Fei Lu |
| 英文第一作者: | Jing Wang, Jun Xu, Xiaohan Yang, Song Xu, Ming Zhang, Fei Lu |
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| 发表年度: | 2021-09-16 |
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| 摘要: | 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. |
| 英文摘要: | 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. |
| 刊物名称: | Plant Biotechnology Journal |
| 英文刊物名称: | Plant Biotechnology Journal |
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| 其它备注: | Jing Wang, Jun Xu, Xiaohan Yang, Song Xu, Ming Zhang, Fei Lu. Boosting Power of Transcriptomics by Developing an Efficient Gene Expression Profiling Approach. Plant Biotechnology Journal. DOI:10.1111/pbi.13706 |
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