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'Oming in on RNA-protein interactions.聚焦于RNA-蛋白质相互作用。
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The RBPome: where the brains meet the brawn.视黄醇结合蛋白组：脑力与体力的交汇之处。
Genome Biol. 2014 Jan 31;15(1):402. doi: 10.1186/gb4153.
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Easier, Better, Faster, Stronger: Improved Methods for RNA-Protein Interaction Studies.更简便、更优良、更快速、更强大：RNA-蛋白质相互作用研究的改进方法
Mol Cell. 2016 Jun 2;62(5):650-1. doi: 10.1016/j.molcel.2016.05.019.
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Computational Analysis of RNA-Protein Interactions via Deep Sequencing.通过深度测序对RNA-蛋白质相互作用进行计算分析
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Discovering sequence and structure landscapes in RNA interaction motifs.发现 RNA 相互作用基序中的序列和结构景观。
Nucleic Acids Res. 2019 Jun 4;47(10):4958-4969. doi: 10.1093/nar/gkz250.
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Improvements to the HITS-CLIP protocol eliminate widespread mispriming artifacts.对HITS-CLIP协议的改进消除了广泛存在的错配假象。
BMC Genomics. 2016 May 5;17:338. doi: 10.1186/s12864-016-2675-5.
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Structure and RNA interactions of the plant MicroRNA processing-associated protein HYL1.植物 MicroRNA 加工相关蛋白 HYL1 的结构和 RNA 相互作用。
Biochemistry. 2010 Sep 28;49(38):8237-9. doi: 10.1021/bi100672x.
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omniCLIP: probabilistic identification of protein-RNA interactions from CLIP-seq data.omniCLIP：从 CLIP-seq 数据中概率识别蛋白质-RNA 相互作用。
Genome Biol. 2018 Nov 1;19(1):183. doi: 10.1186/s13059-018-1521-2.
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Plant Individual Nucleotide Resolution Cross-Linking and Immunoprecipitation to Characterize RNA-Protein Complexes.利用植物个体核苷酸分辨率交联与免疫沉淀技术表征RNA-蛋白质复合物
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Biochemical and Next Generation Sequencing Approaches to Study RNA Regulation.用于研究RNA调控的生化与新一代测序方法。
Methods. 2019 Feb 15;155:1-2. doi: 10.1016/j.ymeth.2019.02.012.
引用本文的文献
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Widespread autogenous mRNA-protein interactions detected by CLIP-seq.CLIP-seq 检测到广泛的自体 mRNA-蛋白质相互作用。
Nucleic Acids Res. 2022 Sep 23;50(17):9984-9999. doi: 10.1093/nar/gkac756.
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A structural dissection of protein-RNA interactions based on different RNA base areas of interfaces.基于界面不同RNA碱基区域的蛋白质-RNA相互作用的结构剖析。
RSC Adv. 2018 Mar 16;8(19):10582-10592. doi: 10.1039/c8ra00598b. eCollection 2018 Mar 13.
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Multi-resBind: a residual network-based multi-label classifier for in vivo RNA binding prediction and preference visualization.Multi-resBind：一种基于残差网络的多标签分类器，用于体内 RNA 结合预测和偏好可视化。
BMC Bioinformatics. 2021 Nov 15;22(1):554. doi: 10.1186/s12859-021-04430-y.
4
Interactions between long non‑coding RNAs and RNA‑binding proteins in cancer (Review).长非编码 RNA 与 RNA 结合蛋白在癌症中的相互作用（综述）。
Oncol Rep. 2021 Dec;46(6). doi: 10.3892/or.2021.8207. Epub 2021 Oct 22.
5
EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA-protein interaction prediction.EDLMFC：一种具有多尺度特征组合的集成深度学习框架，用于 ncRNA-蛋白质相互作用预测。
BMC Bioinformatics. 2021 Mar 19;22(1):133. doi: 10.1186/s12859-021-04069-9.
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Multimodal Long Noncoding RNA Interaction Networks: Control Panels for Cell Fate Specification.多模态长非编码 RNA 相互作用网络：细胞命运特化的调控面板。
Genetics. 2019 Dec;213(4):1093-1110. doi: 10.1534/genetics.119.302661.
7
Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction.整合热力学和序列背景可提高蛋白质-RNA 结合预测。
PLoS Comput Biol. 2019 Sep 4;15(9):e1007283. doi: 10.1371/journal.pcbi.1007283. eCollection 2019 Sep.
8
RNA-protein interactions in an unstructured context.非结构化环境中的 RNA-蛋白质相互作用。
FEBS Lett. 2018 Sep;592(17):2901-2916. doi: 10.1002/1873-3468.13116. Epub 2018 Jun 21.
9
Finding RNA structure in the unstructured RBPome.在非结构 RBP 组中寻找 RNA 结构。
BMC Genomics. 2018 Feb 20;19(1):154. doi: 10.1186/s12864-018-4540-1.
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mRNA/protein sequence complementarity and its determinants: The impact of affinity scales.信使核糖核酸/蛋白质序列互补性及其决定因素：亲和力尺度的影响
PLoS Comput Biol. 2017 Jul 27;13(7):e1005648. doi: 10.1371/journal.pcbi.1005648. eCollection 2017 Jul.
本文引用的文献
1
The RBPome: where the brains meet the brawn.视黄醇结合蛋白组：脑力与体力的交汇之处。
Genome Biol. 2014 Jan 31;15(1):402. doi: 10.1186/gb4153.
2
RNAmotifs: prediction of multivalent RNA motifs that control alternative splicing.RNA基序：预测控制可变剪接的多价RNA基序。
Genome Biol. 2014 Jan 31;15(1):R20. doi: 10.1186/gb-2014-15-1-r20.
3
Methods for comprehensive experimental identification of RNA-protein interactions.RNA-蛋白质相互作用的综合实验鉴定方法。
Genome Biol. 2014 Jan 27;15(1):203. doi: 10.1186/gb4152.
4
Exon identity crisis: disease-causing mutations that disrupt the splicing code.外显子身份危机：破坏剪接密码的致病突变
Genome Biol. 2014 Jan 23;15(1):201. doi: 10.1186/gb4150.
5
MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.MutPred剪接：基于机器学习预测破坏剪接的外显子变体。
Genome Biol. 2014 Jan 13;15(1):R19. doi: 10.1186/gb-2014-15-1-r19.
6
PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis.PIPE-CLIP：用于CLIP-seq数据分析的综合在线工具。
Genome Biol. 2014 Jan 22;15(1):R18. doi: 10.1186/gb-2014-15-1-r18.
7
GraphProt: modeling binding preferences of RNA-binding proteins.GraphProt：RNA结合蛋白结合偏好性建模
Genome Biol. 2014 Jan 22;15(1):R17. doi: 10.1186/gb-2014-15-1-r17.
8
CapR: revealing structural specificities of RNA-binding protein target recognition using CLIP-seq data.CapR：利用CLIP-seq数据揭示RNA结合蛋白靶点识别的结构特异性
Genome Biol. 2014 Jan 21;15(1):R16. doi: 10.1186/gb-2014-15-1-r16.
9
Differential protein occupancy profiling of the mRNA transcriptome.mRNA转录组的差异蛋白质占据图谱分析。
Genome Biol. 2014 Jan 13;15(1):R15. doi: 10.1186/gb-2014-15-1-r15.
10
Dissecting the expression landscape of RNA-binding proteins in human cancers.剖析人类癌症中RNA结合蛋白的表达图谱。
Genome Biol. 2014 Jan 10;15(1):R14. doi: 10.1186/gb-2014-15-1-r14.
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