Literature DB >> 28967997

A Detailed Protocol for Subcellular RNA Sequencing (subRNA-seq).

Andreas Mayer1, L Stirling Churchman2.   

Abstract

In eukaryotic cells, RNAs at various maturation and processing levels are distributed across cellular compartments. The standard approach to determine transcript abundance and identity in vivo is RNA sequencing (RNA-seq). RNA-seq relies on RNA isolation from whole-cell lysates and thus mainly captures fully processed, stable, and more abundant cytoplasmic RNAs over nascent, unstable, and nuclear RNAs. Here, we provide a step-by-step protocol for subcellular RNA-seq (subRNA-seq). subRNA-seq allows the quantitative measurement of RNA polymerase II-generated RNAs from the chromatin, nucleoplasm, and cytoplasm of mammalian cells. This approach relies on cell fractionation prior to RNA isolation and sequencing library preparation. High-throughput sequencing of the subcellular RNAs can then be used to reveal the identity, abundance, and subcellular distribution of transcripts, thus providing insights into RNA processing and maturation. Deep sequencing of the chromatin-associated RNAs further offers the opportunity to study nascent RNAs. Subcellular RNA-seq libraries are obtained within 5 days. © 2017 by John Wiley & Sons, Inc.
Copyright © 2017 John Wiley and Sons, Inc.

Entities:  

Keywords:  Cell fractionation; RNA polymerase II (Pol II); RNA processing; nascent RNA; next-generation sequencing; subcellular RNA-seq; transcription

Mesh:

Substances:

Year:  2017        PMID: 28967997      PMCID: PMC5669054          DOI: 10.1002/cpmb.44

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  30 in total

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5.  Single mammalian cells compensate for differences in cellular volume and DNA copy number through independent global transcriptional mechanisms.

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6.  Characterization of the RNA content of chromatin.

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Review 7.  RNA-Seq: a revolutionary tool for transcriptomics.

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8.  "Jump start and gain" model for dosage compensation in Drosophila based on direct sequencing of nascent transcripts.

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9.  Genome-wide annotation and quantitation of translation by ribosome profiling.

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10.  Efficient cellular fractionation improves RNA sequencing analysis of mature and nascent transcripts from human tissues.

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Journal:  BMC Biotechnol       Date:  2013-11-13       Impact factor: 2.563

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Review 4.  Subcellular Transcriptomics and Proteomics: A Comparative Methods Review.

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