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High-Throughput Next Generation Sequencing

Overview of attention for book
Cover of 'High-Throughput Next Generation Sequencing'

Table of Contents

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    Book Overview
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    Chapter 1 Helicos Single-Molecule Sequencing of Bacterial Genomes
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    Chapter 2 Whole-Genome Sequencing of Unculturable Bacterium Using Whole-Genome Amplification
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    Chapter 3 RNA Sequencing and Quantitation Using the Helicos Genetic Analysis System
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    Chapter 4 Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing
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    Chapter 5 Discovery of Bacterial sRNAs by High-Throughput Sequencing
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    Chapter 6 Identification of Virus Encoding MicroRNAs Using 454 FLX Sequencing Platform
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    Chapter 7 Ribosomal RNA Depletion for Massively Parallel Bacterial RNA-Sequencing Applications
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    Chapter 8 Integrating High-Throughput Pyrosequencing and Quantitative Real-Time PCR to Analyze Complex Microbial Communities
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    Chapter 9 Tag-encoded FLX amplicon pyrosequencing for the elucidation of microbial and functional gene diversity in any environment.
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    Chapter 10 Pyrosequencing of Chaperonin-60 ( cpn60 ) Amplicons as a Means of Determining Microbial Community Composition
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    Chapter 11 Prescreening of Microbial Populations for the Assessment of Sequencing Potential
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    Chapter 12 Metagenomics.
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    Chapter 13 Metagenomic Analysis of Intestinal Microbiomes in Chickens
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    Chapter 14 Gene expression profiling: metatranscriptomics.
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    Chapter 15 High-Throughput Insertion Tracking by Deep Sequencing for the Analysis of Bacterial Pathogens
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    Chapter 16 Determining DNA Methylation Profiles Using Sequencing
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    Chapter 17 Preparation of Next-Generation Sequencing Libraries Using Nextera™ Technology: Simultaneous DNA Fragmentation and Adaptor Tagging by In Vitro Transposition
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    Chapter 18 Amplification-Free Library Preparation for Paired-End Illumina Sequencing
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    Chapter 19 Target-Enrichment Through Amplification of Hairpin-Ligated Universal Targets for Next-Generation Sequencing Analysis
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    Chapter 20 96-Plex Molecular Barcoding for the Illumina Genome Analyzer
Attention for Chapter 7: Ribosomal RNA Depletion for Massively Parallel Bacterial RNA-Sequencing Applications
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Chapter title
Ribosomal RNA Depletion for Massively Parallel Bacterial RNA-Sequencing Applications
Chapter number 7
Book title
High-Throughput Next Generation Sequencing
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-61779-089-8_7
Pubmed ID
Book ISBNs
978-1-61779-088-1, 978-1-61779-089-8
Authors

Zhoutao Chen, Xiaoping Duan, Wei Chen, Yuqiang Wu, Wei Liu, Guoying Wang, Xiaoyun Wang, Yang, Wenjie Chen, Yan Tai, Minqiang Lu, Qijun Qian, Qi Zhang, Guihua Chen, Chen, Zhoutao, Duan, Xiaoping

Abstract

RNA-sequencing (RNA-Seq) is a digital display of a transcriptome using next-generation sequencing technologies and provides detailed, high-throughput view of the transcriptome. The first step in RNA-Seq is to isolate whole transcriptome from total RNA. Since large ribosomal RNA (rRNA) constitutes approximately 90% RNA species in total RNA, whole transcriptome analysis without any contamination from rRNA is very difficult using existing RNA isolation methods. RiboMinus(™) purification method provides a novel and efficient method to isolate RNA molecules of the transcriptome devoid of large rRNA from total RNA for transcriptome analysis. It allows for whole transcriptome isolation through selective depletion of abundant rRNA molecules from total RNA. The rRNA depleted RNA fraction is termed as RiboMinus(™) RNA fraction, which is enriched in polyadenylated RNA, nonpolyadenylated RNA, preprocessed RNA, tRNA, numerous regulatory RNA molecules, and other RNA transcripts of yet unknown function. Using RiboMinus(™) method to isolate RiboMinus RNA results in up to 99.0% removal of 16S and 23S rRNA molecules from 0.5 to 10 μg total bacterial RNA based on Bioanalyzer analysis. It enables efficient whole transcriptome sequencing analysis without major contamination from highly abundant rRNA. Residual rRNA accounts for less than 10% of entire transcriptome based on both SOLiD and Genome Analyzer RNA-Seq data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
United Kingdom 1 2%
Netherlands 1 2%
Poland 1 2%
Unknown 54 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 32%
Researcher 13 22%
Student > Master 8 13%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 5 8%
Unknown 7 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 47%
Biochemistry, Genetics and Molecular Biology 12 20%
Environmental Science 3 5%
Immunology and Microbiology 2 3%
Medicine and Dentistry 2 3%
Other 6 10%
Unknown 7 12%