Transcriptome-wide analysis of protein-RNA interactions using high-throughput sequencing

被引:40
|
作者
Milek, Miha [1 ]
Wyler, Emanuel [1 ]
Landthaler, Markus [1 ]
机构
[1] Max Delbruck Ctr Mol Med, Berlin Inst Med Syst Biol, D-13125 Berlin, Germany
关键词
Post-transcriptional regulation; Protein-RNA interactions; Cross-linking and immunoprecipitation; CLIP; Next-generation sequencing; PRE-RIBOSOMAL-RNA; MESSENGER-RNA; BINDING PROTEIN; CROSS-LINKING; IDENTIFICATION; SITES; CLIP; REVEALS; TARGETS; INSIGHTS;
D O I
10.1016/j.semcdb.2011.12.001
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Protein-RNA interactions are emerging as an important functional element in the regulation of gene expression. Cross-linking of proteins to RNA by UV irradiation followed by immunoprecipitation (CLIP) has provided a crucial tool for research in this field. Initially, the bottleneck of the method was the relatively low number of identified RNA binding sites. It was only the arrival of next-generation sequencing that allowed a comprehensive and unbiased description of the cross-linked protein-RNA fragments. Here, we summarize recent progress in the study of protein-RNA interactions, as well as some of the important findings obtained using different CLIP approaches in cultured cells and organisms. These efforts allowed the identification of functional RNA-binding sites for a wide range of RNA-interacting proteins. Experimental and bioinformatic progress will further advance this dynamic area of research. The combination of high-resolution protein-RNA interaction maps with transcriptome-wide data describing the stability, modifications and structures of RNAs, in addition to protein expression profiling, will provide deeper insight into post-transcriptional and translational regulatory events and mechanisms. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:206 / 212
页数:7
相关论文
共 50 条
  • [21] Protein-RNA specificity by high-throughput principal component analysis of NMR spectra
    Collins, Katherine M.
    Oregioni, Alain
    Robertson, Laura E.
    Kelly, Geoff
    Ramos, Andres
    NUCLEIC ACIDS RESEARCH, 2015, 43 (06) : e41
  • [22] Transcriptome-wide analysis of a baculovirus using nanopore sequencing
    Zsolt Boldogkői
    Norbert Moldován
    Attila Szűcs
    Dóra Tombácz
    Scientific Data, 5
  • [23] Transcriptome analysis of rosette and folding leaves in Chinese high-throughput RNA sequencing
    Wang, Fengde
    Li, Libin
    Li, Huayin
    Liu, Lifeng
    Zhang, Yihui
    Gao, Jianwei
    Wang, Xiaowu
    GENOMICS, 2012, 99 (05) : 299 - 307
  • [24] High-throughput sequencing methods to study neuronal RNA-protein interactions
    Ule, Jernej
    BIOCHEMICAL SOCIETY TRANSACTIONS, 2009, 37 : 1278 - 1280
  • [25] Characterization of the small RNA transcriptome in plant–microbe (Brassica/Erwinia) interactions by high-throughput sequencing
    Chuan Bao Sun
    Biotechnology Letters, 2014, 36 : 371 - 381
  • [26] Transcriptome-Wide Profiling of Protein-RNA Interactions by Cross-Linking and Immunoprecipitation Mediated by FLAG-Biotin Tandem Purification
    Bi, Xianju
    Zhang, Xuechun
    Shen, Xiaohua
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2020, (159):
  • [27] Designing a single-cell RNA sequencing strategy for transcriptome-wide RNA analysis
    Berrevoet, Danique
    Deserranno, Koen
    Deforce, Dieter
    Van Nieuwerburgh, Filip
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2024, 32 : 1775 - 1775
  • [28] RNA structure framework: automated transcriptome-wide reconstruction of RNA secondary structures from high-throughput structure probing data
    Incarnato, Danny
    Neri, Francesco
    Anselmi, Francesca
    Oliviero, Salvatore
    BIOINFORMATICS, 2016, 32 (03) : 459 - 461
  • [29] Transcriptome analysis of Cinnamomum longepaniculatum by high-throughput sequencing
    Yan, Kuan
    Wei, Qin
    Feng, Ruizhang
    Zhou, Wanhai
    Chen, Fang
    ELECTRONIC JOURNAL OF BIOTECHNOLOGY, 2017, 28 : 58 - 66
  • [30] Quantitative assessment of RNA-protein interactions with high-throughput sequencing–RNA affinity profiling
    Abdullah Ozer
    Jacob M Tome
    Robin C Friedman
    Dan Gheba
    Gary P Schroth
    John T Lis
    Nature Protocols, 2015, 10 : 1212 - 1233