关键词: BRIC_seq CLIP-seq HITS-CLIP Microarray PAR-CLIP RNA processing RNA-binding protein RNA-seq Ribo-seq eCLIP iCLIP

Mesh : Animals Binding Sites Computational Biology / methods Datasets as Topic Gene Expression Profiling / methods High-Throughput Nucleotide Sequencing / methods Humans Immunoprecipitation Models, Molecular Mutation Nucleic Acid Conformation Protein Binding Protein Conformation RNA / metabolism RNA Precursors / metabolism RNA Processing, Post-Transcriptional RNA Splicing RNA Stability RNA-Binding Motifs RNA-Binding Proteins / metabolism Sequence Analysis, RNA

来  源:   DOI:10.1007/978-3-319-29073-7_1

Abstract:
After an RNA is transcribed, it undergoes a variety of processing steps that can change the encoded protein sequence (through alternative splicing and RNA editing), regulate the stability of the RNA, and control subcellular localization, timing, and rate of translation. The recent explosion in genomics techniques has enabled transcriptome-wide profiling of RNA processing in an unbiased manner. However, it has also brought with it both experimental challenges in developing improved methods to probe distinct processing steps, as well as computational challenges in data storage, processing, and analysis tools to enable large-scale interpretation in the genomics era. In this chapter we review experimental techniques and challenges in profiling various aspects of RNA processing, as well as recent efforts to develop analyses integrating multiple data sources and techniques to infer RNA regulatory networks.
摘要:
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