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Principles of RNA processing from analysis of enhanced CLIP maps for 150 RNA binding proteins
by
Yee, Brian A.
, Park, Samuel S.
, Gelboin-Burkhart, Chelsea
, Mueller, Jasmine
, Pratt, Gabriel A.
, Yeo, Gene W.
, Wheeler, Emily C.
, Van Nostrand, Eric L.
, Stanton, Rebecca
, Wang, Ruth
, Sundararaman, Balaji
, Fu, Xiang-Dong
, Blue, Steven M.
, Nguyen, Thai B.
, Garcia, Keri E.
, Rabano, Ines
, Graveley, Brenton R.
in
Animal Genetics and Genomics
/ Binding Sites
/ Bioinformatics
/ Biology
/ Biomedical and Life Sciences
/ CLIP-seq
/ crosslinking
/ data collection
/ Datasets
/ eCLIP
/ Evolutionary Biology
/ Gene expression
/ Gene mapping
/ genome
/ Hep G2 Cells
/ Human Genetics
/ Humans
/ Hypotheses
/ Immunoprecipitation
/ Introns
/ K562 Cells
/ Kinases
/ Labeling
/ Life Sciences
/ Medical research
/ Membranes
/ Methods
/ Microbial Genetics and Genomics
/ Peptide mapping
/ Plant Genetics and Genomics
/ precipitin tests
/ Proteins
/ Repetitive Sequences, Nucleic Acid
/ Retroelements
/ ribosomal RNA
/ RNA - metabolism
/ RNA binding protein
/ RNA processing
/ RNA Processing, Post-Transcriptional
/ RNA Splicing
/ RNA, Ribosomal - metabolism
/ RNA-Binding Proteins - metabolism
/ rRNA
/ spliceosomes
/ Spliceosomes - metabolism
/ Splicing
/ Transcription factors
2020
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Principles of RNA processing from analysis of enhanced CLIP maps for 150 RNA binding proteins
by
Yee, Brian A.
, Park, Samuel S.
, Gelboin-Burkhart, Chelsea
, Mueller, Jasmine
, Pratt, Gabriel A.
, Yeo, Gene W.
, Wheeler, Emily C.
, Van Nostrand, Eric L.
, Stanton, Rebecca
, Wang, Ruth
, Sundararaman, Balaji
, Fu, Xiang-Dong
, Blue, Steven M.
, Nguyen, Thai B.
, Garcia, Keri E.
, Rabano, Ines
, Graveley, Brenton R.
in
Animal Genetics and Genomics
/ Binding Sites
/ Bioinformatics
/ Biology
/ Biomedical and Life Sciences
/ CLIP-seq
/ crosslinking
/ data collection
/ Datasets
/ eCLIP
/ Evolutionary Biology
/ Gene expression
/ Gene mapping
/ genome
/ Hep G2 Cells
/ Human Genetics
/ Humans
/ Hypotheses
/ Immunoprecipitation
/ Introns
/ K562 Cells
/ Kinases
/ Labeling
/ Life Sciences
/ Medical research
/ Membranes
/ Methods
/ Microbial Genetics and Genomics
/ Peptide mapping
/ Plant Genetics and Genomics
/ precipitin tests
/ Proteins
/ Repetitive Sequences, Nucleic Acid
/ Retroelements
/ ribosomal RNA
/ RNA - metabolism
/ RNA binding protein
/ RNA processing
/ RNA Processing, Post-Transcriptional
/ RNA Splicing
/ RNA, Ribosomal - metabolism
/ RNA-Binding Proteins - metabolism
/ rRNA
/ spliceosomes
/ Spliceosomes - metabolism
/ Splicing
/ Transcription factors
2020
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Principles of RNA processing from analysis of enhanced CLIP maps for 150 RNA binding proteins
by
Yee, Brian A.
, Park, Samuel S.
, Gelboin-Burkhart, Chelsea
, Mueller, Jasmine
, Pratt, Gabriel A.
, Yeo, Gene W.
, Wheeler, Emily C.
, Van Nostrand, Eric L.
, Stanton, Rebecca
, Wang, Ruth
, Sundararaman, Balaji
, Fu, Xiang-Dong
, Blue, Steven M.
, Nguyen, Thai B.
, Garcia, Keri E.
, Rabano, Ines
, Graveley, Brenton R.
in
Animal Genetics and Genomics
/ Binding Sites
/ Bioinformatics
/ Biology
/ Biomedical and Life Sciences
/ CLIP-seq
/ crosslinking
/ data collection
/ Datasets
/ eCLIP
/ Evolutionary Biology
/ Gene expression
/ Gene mapping
/ genome
/ Hep G2 Cells
/ Human Genetics
/ Humans
/ Hypotheses
/ Immunoprecipitation
/ Introns
/ K562 Cells
/ Kinases
/ Labeling
/ Life Sciences
/ Medical research
/ Membranes
/ Methods
/ Microbial Genetics and Genomics
/ Peptide mapping
/ Plant Genetics and Genomics
/ precipitin tests
/ Proteins
/ Repetitive Sequences, Nucleic Acid
/ Retroelements
/ ribosomal RNA
/ RNA - metabolism
/ RNA binding protein
/ RNA processing
/ RNA Processing, Post-Transcriptional
/ RNA Splicing
/ RNA, Ribosomal - metabolism
/ RNA-Binding Proteins - metabolism
/ rRNA
/ spliceosomes
/ Spliceosomes - metabolism
/ Splicing
/ Transcription factors
2020
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Principles of RNA processing from analysis of enhanced CLIP maps for 150 RNA binding proteins
Journal Article
Principles of RNA processing from analysis of enhanced CLIP maps for 150 RNA binding proteins
2020
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Overview
Background
A critical step in uncovering rules of RNA processing is to study the in vivo regulatory networks of RNA binding proteins (RBPs). Crosslinking and immunoprecipitation (CLIP) methods enable mapping RBP targets transcriptome-wide, but methodological differences present challenges to large-scale analysis across datasets. The development of enhanced CLIP (eCLIP) enabled the mapping of targets for 150 RBPs in K562 and HepG2, creating a unique resource of RBP interactomes profiled with a standardized methodology in the same cell types.
Results
Our analysis of 223 eCLIP datasets reveals a range of binding modalities, including highly resolved positioning around splicing signals and mRNA untranslated regions that associate with distinct RBP functions. Quantification of enrichment for repetitive and abundant multicopy elements reveals 70% of RBPs have enrichment for non-mRNA element classes, enables identification of novel ribosomal RNA processing factors and sites, and suggests that association with retrotransposable elements reflects multiple RBP mechanisms of action. Analysis of spliceosomal RBPs indicates that eCLIP resolves AQR association after intronic lariat formation, enabling identification of branch points with single-nucleotide resolution, and provides genome-wide validation for a branch point-based scanning model for 3′ splice site recognition. Finally, we show that eCLIP peak co-occurrences across RBPs enable the discovery of novel co-interacting RBPs.
Conclusions
This work reveals novel insights into RNA biology by integrated analysis of eCLIP profiling of 150 RBPs with distinct functions. Further, our quantification of both mRNA and other element association will enable further research to identify novel roles of RBPs in regulating RNA processing.
Publisher
BioMed Central,Springer Nature B.V,BMC
Subject
/ Biology
/ Biomedical and Life Sciences
/ CLIP-seq
/ Datasets
/ eCLIP
/ genome
/ Humans
/ Introns
/ Kinases
/ Labeling
/ Methods
/ Microbial Genetics and Genomics
/ Proteins
/ Repetitive Sequences, Nucleic Acid
/ RNA Processing, Post-Transcriptional
/ RNA-Binding Proteins - metabolism
/ rRNA
/ Splicing
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