4.3 Article

CLIP and complementary methods

期刊

NATURE REVIEWS METHODS PRIMERS
卷 1, 期 1, 页码 -

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SPRINGERNATURE
DOI: 10.1038/s43586-021-00018-1

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资金

  1. German Research Foundation (DFG) [STA653/13-1, STA653/14-1, KO5364/1-1]
  2. Intramural Research Program of the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health (NIH)
  3. European Union [835300-RNPdynamics]
  4. Swiss National Science Foundation [310030_189063]
  5. Biozentrum Basel International Ph.D. Program Fellowships for Excellence
  6. Cancer Research UK [FC001110]
  7. UK Medical Research Council [FC001110]
  8. Wellcome Trust [FC001110]
  9. Swiss National Science Foundation (SNF) [310030_189063] Funding Source: Swiss National Science Foundation (SNF)

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This article discusses the process of RNA assembly into RNP complexes and introduces the techniques for identifying the binding sites of RNA-binding proteins through CLIP and other methods. It also covers the challenges of computational CLIP data analysis, handling background sources, and identifying binding regions, as well as the prospect of integrating different methods to gain a comprehensive view.
RNA molecules start assembling into ribonucleoprotein (RNP) complexes during transcription. Dynamic RNP assembly, largely directed by cis-acting elements on the RNA, coordinates all processes in which the RNA is involved. To identify the sites bound by a specific RNA-binding protein on endogenous RNAs, cross-linking and immunoprecipitation (CLIP) and complementary, proximity-based methods have been developed. In this Primer, we discuss the main variants of these protein-centric methods and the strategies for their optimization and quality assessment, as well as RNA-centric methods that identify the protein partners of a specific RNA. We summarize the main challenges of computational CLIP data analysis, how to handle various sources of background and how to identify functionally relevant binding regions. We outline the various applications of CLIP and available databases for data sharing. We discuss the prospect of integrating data obtained by CLIP with complementary methods to gain a comprehensive view of RNP assembly and remodelling, unravel the spatial and temporal dynamics of RNPs in specific cell types and subcellular compartments and understand how defects in RNPs can lead to disease. Finally, we present open questions in the field and give directions for further development and applications.

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