Literature DB >> 30068528

The Future of Cross-Linking and Immunoprecipitation (CLIP).

Jernej Ule1,2, Hun-Way Hwang3, Robert B Darnell4,5.   

Abstract

To understand the assembly and functional outcomes of protein-RNA regulation, it is crucial to precisely identify the positions of such interactions. Cross-linking and immunoprecipitation (CLIP) serves this purpose by exploiting covalent protein-RNA cross-linking and RNA fragmentation, along with a series of stringent purification and quality control steps to prepare complementary DNA (cDNA) libraries for sequencing. Here we describe the core steps of CLIP, its primary variations, and the approaches to data analysis. We present the application of CLIP to studies of specific cell types in genetically engineered mice and discuss the mechanistic and physiologic insights that have already been gained from studies using CLIP. We conclude by discussing the future opportunities for CLIP, including studies of human postmortem tissues from disease patients and controls, RNA epigenetic modifications, and RNA structure. These and other applications of CLIP will continue to unravel fundamental gene regulatory mechanisms while providing important biologic and clinically relevant insights.
Copyright © 2018 Cold Spring Harbor Laboratory Press; all rights reserved.

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Year:  2018        PMID: 30068528      PMCID: PMC6071486          DOI: 10.1101/cshperspect.a032243

Source DB:  PubMed          Journal:  Cold Spring Harb Perspect Biol        ISSN: 1943-0264            Impact factor:   10.005


  80 in total

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Review 2.  High-throughput functional genomics using CRISPR-Cas9.

Authors:  Ophir Shalem; Neville E Sanjana; Feng Zhang
Journal:  Nat Rev Genet       Date:  2015-04-09       Impact factor: 53.242

3.  PAR-CLIP: A Method for Transcriptome-Wide Identification of RNA Binding Protein Interaction Sites.

Authors:  Charles Danan; Sudhir Manickavel; Markus Hafner
Journal:  Methods Mol Biol       Date:  2016

4.  Insights into RNA biology from an atlas of mammalian mRNA-binding proteins.

Authors:  Alfredo Castello; Bernd Fischer; Katrin Eichelbaum; Rastislav Horos; Benedikt M Beckmann; Claudia Strein; Norman E Davey; David T Humphreys; Thomas Preiss; Lars M Steinmetz; Jeroen Krijgsveld; Matthias W Hentze
Journal:  Cell       Date:  2012-05-31       Impact factor: 41.582

5.  High-resolution N(6) -methyladenosine (m(6) A) map using photo-crosslinking-assisted m(6) A sequencing.

Authors:  Kai Chen; Zhike Lu; Xiao Wang; Ye Fu; Guan-Zheng Luo; Nian Liu; Dali Han; Dan Dominissini; Qing Dai; Tao Pan; Chuan He
Journal:  Angew Chem Int Ed Engl       Date:  2014-12-09       Impact factor: 15.336

6.  The Neuronal Splicing Factor Nova Co-Localizes with Target RNAs in the Dendrite.

Authors:  Claudia Racca; Alejandra Gardiol; Taesun Eom; Jernej Ule; Antoine Triller; Robert B Darnell
Journal:  Front Neural Circuits       Date:  2010-03-03       Impact factor: 3.492

7.  Isolation of murine microglial cells for RNA analysis or flow cytometry.

Authors:  Astrid E Cardona; DeRen Huang; Margaret E Sasse; Richard M Ransohoff
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

8.  Rescuing Z+ agrin splicing in Nova null mice restores synapse formation and unmasks a physiologic defect in motor neuron firing.

Authors:  Matteo Ruggiu; Ruth Herbst; Natalie Kim; Marko Jevsek; John J Fak; Mary Anne Mann; Gerald Fischbach; Steven J Burden; Robert B Darnell
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-12       Impact factor: 11.205

9.  Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome.

Authors:  Bastian Linder; Anya V Grozhik; Anthony O Olarerin-George; Cem Meydan; Christopher E Mason; Samie R Jaffrey
Journal:  Nat Methods       Date:  2015-06-29       Impact factor: 28.547

10.  4-thiouridine inhibits rRNA synthesis and causes a nucleolar stress response.

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  20 in total

1.  Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.

Authors:  Jian Zhou; Christopher Y Park; Chandra L Theesfeld; Aaron K Wong; Yuan Yuan; Claudia Scheckel; John J Fak; Julien Funk; Kevin Yao; Yoko Tajima; Alan Packer; Robert B Darnell; Olga G Troyanskaya
Journal:  Nat Genet       Date:  2019-05-27       Impact factor: 38.330

Review 2.  Approaches for measuring the dynamics of RNA-protein interactions.

Authors:  Donny D Licatalosi; Xuan Ye; Eckhard Jankowsky
Journal:  Wiley Interdiscip Rev RNA       Date:  2019-08-20       Impact factor: 9.957

Review 3.  Alternative splicing programming of axon formation.

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4.  The Genetic Control of Stoichiometry Underlying Autism.

Authors:  Robert B Darnell
Journal:  Annu Rev Neurosci       Date:  2020-07-08       Impact factor: 12.449

5.  Occurrence and Functions of m6A and Other Covalent Modifications in Plant mRNA.

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Journal:  Plant Physiol       Date:  2019-11-20       Impact factor: 8.340

Review 6.  Clip for studying protein-RNA interactions that regulate virus replication.

Authors:  Christian Shema Mugisha; Kasyap Tenneti; Sebla B Kutluay
Journal:  Methods       Date:  2019-11-22       Impact factor: 3.608

Review 7.  Genome-wide methods for investigating long noncoding RNAs.

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Journal:  Biomed Pharmacother       Date:  2018-12-27       Impact factor: 6.529

8.  FMRP has a cell-type-specific role in CA1 pyramidal neurons to regulate autism-related transcripts and circadian memory.

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Review 9.  Noncoding RNAs in B cell responses.

Authors:  Eric J Wigton; K Mark Ansel
Journal:  RNA Biol       Date:  2021-02-15       Impact factor: 4.652

10.  The kinetic landscape of an RNA-binding protein in cells.

Authors:  Deepak Sharma; Leah L Zagore; Matthew M Brister; Xuan Ye; Carlos E Crespo-Hernández; Donny D Licatalosi; Eckhard Jankowsky
Journal:  Nature       Date:  2021-02-10       Impact factor: 49.962

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