RNA abundance analysis : methods and protocols /

RNA abundance analysis : methods and protocols /

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Bibliographic Details
Imprint:New York : Humana Press : Springer, ©2012.
Description:1 online resource (xiii, 231 pages) : illustrations
Language:English
Series:Methods in molecular biology ; v. 883
Methods in molecular biology (Clifton, N.J.) ; v. 883.
Subject:
RNA -- Analysis -- Laboratory manuals.
RNA -- analysis.
RNA -- Analysis.
Laboratory manuals.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11132755
Hidden Bibliographic Details
Other authors / contributors:Jin, Hailing.
Gassmann, Walter, 1964-
ISBN:9781617798399
1617798398
9781617798382
161779838X
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
English.
Print version record.
Summary:RNA abundance analysis is one of the most important approaches for gene expression studies in the field of molecular biology. In RNA Abundance Analysis: Methods and Protocols, expert researchers cover a wide range of techniques on RNA extraction, detection, quantification, visualization, and genome-wide profiling, from conventional methods to state-of-the-art high throughput approaches. This volume includes detailed techniques to examine mRNAs, small non-coding RNAs, protein-associated small RNAs, sulfur-containing RNAs, viral and satellite RNAs, RNA isoforms, and alternatively spliced RNA variants from various organisms, as well as key discussions of computational data processing for genome-wide datasets. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Essential and easy to use, RNA Abundance Analysis: Methods and Protocols provides a comprehensive set of techniques and methods on isolating and analyzing mRNAs, small RNAs, and modified RNAs, which can assist you in your gene expression studies.
Other form:Print version: RNA abundance analysis. New York : Humana Press ; Springer, ©2012 9781617798382
Standard no.:10.1007/978-1-61779-839-9
Table of Contents:
  • SuperSAGE : powerful serial analysis of gene expression / Hideo Matsumura [and others]
  • Northern blot analysis for expression profiling of mRNAs and small RNAs / Ankur R. Bhardwaj [and others]
  • Construction of RNA-seq libraries from large and microscopic tissues for the illumina sequencing platform / Hagop S. Atamian and Isgouhi Kaloshian
  • Strand-specific RNA-seq applied to malaria samples / Nadia Ponts, Duk-Won D. Chung, and Karine G. Le Roch
  • RNA in situ hybridization in Arabidopsis / Miin-Feng Wu and Doris Wagner
  • Laser microdissection of cells and isolation of high-quality RNA after cryosectioning / Marta Barcala, Carmen Fenoll, and Carolina Escobar
  • Detection and quantification of alternative splicing variants using RNA-seq / Douglas W. Bryant Jr, Henry D. Priest, and Todd C. Mockler
  • Separating and analyzing sulfur-containing RNAs with Organomercury Gels / Elisa Biondi and Donald H. Burke
  • RNAse mapping and quantitation of RNA isoforms / Lakshminarayan K. Venkatesh, Olufemi Fasina, and David J. Pintel
  • Detection and quantification of viral and satellite RNAs in plant hosts / Sun-Jung Kwon, Jang-Kyun Seo, and A.L.N. Rao
  • In situ detection of mature miRNAs in plants using LNA-modified DNA probes / Xiaozhen Yao, Hai Huang, and Lin Xu
  • Small RNA isolation and library construction for expression profiling of small RNAs from neurospora and fusarium using illumina high-throughput deep sequencing / Gyungsoon Park and Katherine A. Borkovich
  • Isolation and profiling of protein-associated small RNAs / Hongwei Zhao [and others]
  • New virus discovery by deep sequencing of small RNAs / Kashmir Singh, Ravneet Kaur, and Wenping Qiu
  • Global assembly of expressed sequence tags / Foo Cheung
  • Computational analysis of RNA-seq / Scott A. Givan, Christopher A. Bottoms, and William G. Spollen
  • Identification of microRNAs and natural antisense transcript-originated endogenous siRNAs from small-RNA deep sequencing data / Weixiong Zhang [and others].

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