Literature DB >> 29130190

PARIS: Psoralen Analysis of RNA Interactions and Structures with High Throughput and Resolution.

Zhipeng Lu1, Jing Gong2, Qiangfeng Cliff Zhang3.   

Abstract

RNA has the intrinsic propensity to form base pairs, leading to complex intramolecular and intermolecular helices. Direct measurement of base pairing interactions in living cells is critical to solving transcriptome structure and interactions, and investigating their functions (Lu and Chang, Curr Opin Struct Biol 36:142-148, 2016). Toward this goal, we developed an experimental method, PARIS (Psoralen Analysis of RNA Interactions and Structures), to directly determine transcriptome-wide base pairing interactions (Lu et al., Cell 165(5):1267-1279, 2016). PARIS combines four critical steps, in vivo cross-linking, 2D gel purification, proximity ligation, and high-throughput sequencing to achieve high-throughput and near-base pair resolution determination of the RNA structurome and interactome in living cells. In this chapter, we aim to provide a comprehensive discussion on the principles behind the experimental and computational strategies, and a step-by-step description of the experiment and analysis.

Entities:  

Keywords:  2D gel electrophoresis; AMT (4′-aminomethyltrioxsalen hydrochloride); Cross-linking; High-throughput sequencing; Proximity ligation; Psoralen; RNA structure; RNA–RNA interaction

Mesh:

Substances:

Year:  2018        PMID: 29130190      PMCID: PMC5821472          DOI: 10.1007/978-1-4939-7213-5_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  36 in total

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10.  RIP-seq analysis of eukaryotic Sm proteins identifies three major categories of Sm-containing ribonucleoproteins.

Authors:  Zhipeng Lu; Xiaojun Guan; Casey A Schmidt; A Gregory Matera
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  17 in total

Review 1.  The RNA Base-Pairing Problem and Base-Pairing Solutions.

Authors:  Zhipeng Lu; Howard Y Chang
Journal:  Cold Spring Harb Perspect Biol       Date:  2018-12-03       Impact factor: 10.005

Review 2.  RNA contributions to the form and function of biomolecular condensates.

Authors:  Christine Roden; Amy S Gladfelter
Journal:  Nat Rev Mol Cell Biol       Date:  2020-07-06       Impact factor: 94.444

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Authors:  Jernej Ule; Hun-Way Hwang; Robert B Darnell
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4.  The snoGloBe interaction predictor reveals a broad spectrum of C/D snoRNA RNA targets.

Authors:  Gabrielle Deschamps-Francoeur; Sonia Couture; Sherif Abou-Elela; Michelle S Scott
Journal:  Nucleic Acids Res       Date:  2022-06-24       Impact factor: 19.160

Review 5.  Targeting RNA in mammalian systems with small molecules.

Authors:  Anita Donlic; Amanda E Hargrove
Journal:  Wiley Interdiscip Rev RNA       Date:  2018-05-03       Impact factor: 9.957

6.  An Aptamer-based mRNA Affinity Purification Procedure (RaPID) for the Identification of Associated RNAs (RaPID-seq) and Proteins (RaPID-MS) in Yeast.

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Journal:  Bio Protoc       Date:  2022-01-05

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Authors:  Diana Renteria Alvarez; Alejandra Ospina; Tiffany Barwell; Bo Zheng; Abhishek Dey; Chong Li; Shrabani Basu; Xinghua Shi; Sabah Kadri; Kausik Chakrabarti
Journal:  RNA Biol       Date:  2021-06-23       Impact factor: 4.766

8.  Classification and clustering of RNA crosslink-ligation data reveal complex structures and homodimers.

Authors:  Minjie Zhang; Irena T Hwang; Kongpan Li; Jianhui Bai; Jian-Fu Chen; Tsachy Weissman; James Y Zou; Zhipeng Lu
Journal:  Genome Res       Date:  2022-03-24       Impact factor: 9.438

Review 9.  Non-coding RNAs in cancer: platforms and strategies for investigating the genomic "dark matter".

Authors:  Katia Grillone; Caterina Riillo; Francesca Scionti; Roberta Rocca; Giuseppe Tradigo; Pietro Hiram Guzzi; Stefano Alcaro; Maria Teresa Di Martino; Pierosandro Tagliaferri; Pierfrancesco Tassone
Journal:  J Exp Clin Cancer Res       Date:  2020-06-20

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Journal:  Mol Cell       Date:  2021-08-03       Impact factor: 19.328

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