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| 1 | Prediction and differential analysis of RNA secondary structure显示文摘Background:RNA structure is the crucial basis for RNA function in various cellular processes.Over the last decade,high throughput structure profiling(SP)experiments have brought enormous insight into RNA secondary structure.Results:In this review,we first provide an overview of approaches for RNA secondary structure prediction,including free energy-based algorithms and comparative sequence analysis.Then we introduce SP technologies,databases to document SP data,and pipelines/algorithms to normalize and interpret SP data.Computational frameworks that incorporate SP data in RNA secondary structure prediction are also presented.Conclusions:We finally discuss potential directions for improvement in the prediction and differential analysis of RNA secondary structure. | Bo Yu Yao Lu Qiangfeng Cliff Zhang Lin Hou | 2020 | Quantitative Biology2020，8，2： | 1 |
| 2 | Epitranscriptomic technologies and analyses显示文摘RNA can interact with RNA-binding proteins(RBPs),mRNA,or other non-coding RNAs(ncRNAs)to form complex regulatory networks.High-throughput CLIP-seq,degradome-seq,and RNA-RNA interactome sequencing methods represent powerful approaches to identify biologically relevant ncRNA-target and protein-ncRNA interactions.However,assigning ncRNAs to their regulatory target genes or interacting RNA-binding proteins(RBPs)remains technically challenging.Chemical modifications to mRNA also play important roles in regulating gene expression.Investigation of the functional roles of these modifications relies highly on the detection methods used.RNA structure is also critical at nearly every step of the RNA life cycle.In this review,we summarize recent advances and limitations in CLIP technologies and discuss the computational challenges of and bioinformatics tools used for decoding the functions and regulatory networks of ncRNAs.We also summarize methods used to detect RNA modifications and to probe RNA structure. | Xiaoyu Li Qiao-Xia Liang Jin-Ran Lin Jinying Peng Jian-Hua Yang Chengqi Yi Yang Yu Qiangfeng Cliff Zhang Ke-Ren Zhou | 2020 | Science China(Life Sciences)2020，63，4： | 1 |
| 3 | An ultra low-input method for global RNA structure probing uncovers Regnase-1-mediated regulation in macrophages显示文摘To enable diverse functions and precise regulation,an RNA sequence often folds into complex yet distinct structures in different cellular states.Probing RNA in its native environment is essential to uncovering RNA structures of biological contexts.However,current methods generally require large amounts of input RNA and are challenging for physiologically relevant use.Here,we report smartSHAPE,a new RNA structure probing method that requires very low amounts of RNA input due to the largely reduced artefact of probing signals and increased efficiency of library construction.Using smartSHAPE,we showcased the profiling of the RNA structure landscape of mouse intestinal macrophages upon inflammation,and provided evidence that RNA conformational changes regulate immune responses.These results demonstrate that smartSHAPE can greatly expand the scope of RNA structure-based investigations in practical biological systems,and also provide a research paradigm for the study of post-transcriptional regulation. | Meiling Piao Pan Li Xiaomin Zeng Xi-Wen Wang Lan Kang Jinsong Zhang Yifan Wei Shaojun Zhangas Lei Tang Jianghui Zhu Chun Kit Kwok Xiaoyu Hu Qiangfeng Cliff Zhang | 2022 | Fundamental Research2022，2，1： | 0 |
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