A novel strand-specific RNA-sequencing protocol using dU-adaptor-assembled Tn5
文献类型: 外文期刊
第一作者: Tao, Xiaoyuan
作者: Tao, Xiaoyuan;Li, Sujuan;Chen, Guang;Wang, Jian;Xu, Lizhi;Xu, Shengchun;Feng, Shouli;Fu, Xujun;Yu, Jing
作者机构:
关键词: dU-Tn5; dUTP; lncRNA; soybean; stranded RNA-seq; Tn5
期刊名称:JOURNAL OF EXPERIMENTAL BOTANY ( 影响因子:6.9; 五年影响因子:8.0 )
ISSN: 0022-0957
年卷期: 2023 年 74 卷 6 期
页码:
收录情况: SCI
摘要: Strand-specific RNA-seq is a powerful tool for the discovery of novel transcripts, annotation of genomes, and profiling of gene expression levels. Tn5 transposase has been successfully applied in massive-scale sequencing projects; in particular, Tn5 adaptor modification is used in epigenetics, genomic structure, and chromatin visualization. We developed a novel dU-adaptor-assembled Tn5-mediated strand-specific RNA-sequencing protocol and compared this method with the leading dUTP method in terms of experimental procedure and multiple quality metrics of the generated libraries. The results showed that the dU-Tn5 method is easy to operate and generates a strand-specific RNA-seq library of comparable quality considering library complexity, strand-specificity, evenness, and continuity of annotated transcript coverage. We also evaluated the performance of the dU-Tn5 method in identifying nitrogen-responsive protein-coding genes and long non-coding RNAs in soybean roots. The results indicated that similar to 62-70% of differentially expressed genes detected from conventional libraries were also detected in dU-Tn5 libraries, indicating good agreement of our method with the current standard; moreover, their fold-changes were highly correlated (R>0.9). Thus, our method provides a promising 'do-it-yourself' stranded RNA-seq procedure for gene expression profiling. [GRAPHICS] .
分类号:
- 相关文献
作者其他论文 更多>>
-
An improved 3D-SwinT-CNN network to evaluate the fermentation degree of black tea
作者:Zhu, Fengle;Wang, Jian;Zhang, Yuqian;Zhao, Zhangfeng;Shi, Jiang;He, Mengzhu
关键词:Black tea fermentation; Hyperspectral imaging; 3D-SwinT-CNN; 3D convolutional neural networks; Swin transformer
-
Evaluation of the ecological carrying capacity of Wailingding marine ranching in Zhuhai, China by high-resolution remote sensing
作者:Wang, Ziwen;Li, Zhen;Wang, Ziwen;Yu, Jing;Chen, Pimao;Li, Zhen;Yang, Weiwei;Wang, Ziwen;Yu, Jing;Chen, Pimao;Li, Zhen;Yang, Weiwei;Yao, Lijun;Yang, Weiwei
关键词:marine ecological carrying capacity; marine ranching; high-resolution remote sensing; Wailingding; three-dimensional state-space model; weighted Bonferroni mean
-
A survey of efficient fine-tuning methods for Vision-Language Models - Prompt and Adapter
作者:Xing, Jialu;Liu, Jianping;Sun, Lulu;Chen, Xi;Gu, Xunxun;Wang, Yingfei;Liu, Jianping;Wang, Jian;Liu, Jianping
关键词:Vision-language; Computer vision; Efficient fine-tuning; Pre-training model; Prompt; Adapter
-
The Function of SD1 on Shoot Length and its Pyramiding Effect on Shoot Length and Plant Height in Rice (Oryza sativa L.)
作者:Dong, Jingfang;Ma, Yamei;Hu, Haifei;Wang, Jian;Yang, Wu;Fu, Hua;Zhang, Longting;Chen, Jiansong;Zhou, Lian;Li, Wenhui;Nie, Shuai;Zhao, Junliang;Liu, Bin;Yang, Tifeng;Zhang, Shaohong;Zhang, Longting;Liu, Ziqiang
关键词:Shoot Length; Plant Height; Causal gene; Allele Mining; Pyramiding Effect; Rice
-
Mapping Maize Planting Densities Using Unmanned Aerial Vehicles, Multispectral Remote Sensing, and Deep Learning Technology
作者:Shen, Jianing;Hu, Jingyu;Wang, Jian;Shu, Meiyan;Guo, Wei;Qiao, Hongbo;Yue, Jibo;Wang, Qilei;Zhao, Meng;Liu, Yang;Niu, Qinglin;Niu, Qinglin
关键词:maize planting density; object detection; machine learning; vegetation index; YOLO; GLCM
-
Greenhouse cultivation enhances pesticide bioaccumulation in cowpeas following repeated spraying
作者:Cui, Kai;Wang, Jian;Guan, Shuai;Liang, Jingyun;Fang, Liping;Li, Teng;Dong, Zhan;Ding, Ruiyan;Ma, Guoping;Wu, Xiaohu;Zheng, Yongquan
关键词:Pesticide residue; Cowpea; Distribution; Greenhouse and open-field scenarios; Risk assessment
-
Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation
作者:Hu, Jingyu;Feng, Hao;Shen, Jianing;Wang, Jian;Guo, Wei;Qiao, Hongbo;Yue, Jibo;Wang, Qilei;Liu, Yang;Liu, Yang;Feng, Haikuan;Yang, Hao;Niu, Qinglin;Niu, Qinglin
关键词:unmanned aerial vehicle; crop leaf chlorophyll content; fractional vegetation cover; maturity; deep learning; ensemble learning; maize