SAGE: Current Technologies and Applications
Publisher: Horizon Bioscience
Editor: San Ming Wang Center for Functional Genomics, ENH Research Institute, Northwestern University, Evanston, IL 60201, USA
Publication date: Jan 01, 2005
ISBN-10: 1-904933-07-6
ISBN-13: 978-1-904933-07-6
Price: GB £100 or US $200 (hardback).
Pages: x + 376
Chapter abstracts . How to Order
In the post-genomic era SAGE (Serial Analysis of Gene Expression) is one of the most powerful tools available for global expression profiling at the mRNA level (transcriptome analysis). SAGE is also a valuable tool for gene discovery and gene network identification. Written by recognized experts in the field, this timely and authoritative volume reviews every aspect of SAGE technology including the evaluation of SAGE, the improvement and further development of SAGE methodology, the statistical analysis and mathematical modeling of SAGE data, and the practical application of SAGE in eukaryotic organisms, stem cell research, brain cells analysis, and much more.
This comprehensive book is the definitive reference volume and an essential reference for all researchers interested in or working with SAGE technology.
Reviews:
"This book is a thorough treatment of SAGE (Serial Analysis of Gene Expression). ... The 18 chapters in this book cover a range of applications, for example, comparing transcriptomic differences in brain territories, developmental studies in Drosophila, plant gene expression studies, and statistical analysis of SAGE data." by David Ussery, Technical University of Denmark, Microbiology Today, October 2005.
"It covers a broad range of areas" by Ju-Gyeong Kang and Paul M Hwang, Expert Rev. Mol. Diagn., (2006) 6: 137-138..
Key Features:
* Every aspect of SAGE covered
* Expert
International Authors
* Fully Up-To-Date
* Broad Coverage
* Comprehensive Reference Section
Chapter List:
Chapter 1
Evaluation of SAGE Tags for Transcriptome Study
Erin D. Pleasance and Steven J.M. Jones
Chapter 2
CAGE: A Novel Approach for Rapid Gene Discovery and Gene Network Identification
Matthias Harbers, and Piero Carninci
Chapter 3
SuperSAGE: A Potent Transcriptome Tool for Eukaryotic Organisms
Hideo Matsumura, Stefanie Reich, Monika Reuter, Detlev H. Krüger, Peter Winter, Günter Kahl and Ryohei Terauchi
Chapter 4
An Improved Protocol for SAGE Tag-to-gene Allocation
Ute Kannbley, Jason R. Potas, and George Trendelenburg
Chapter 5
Using HPLC to Purify Ditags for SAGE Library Construction
Mette Damgaard Nielsen and Knud Josefsen
Chapter 6
Web Tools for Statistical Analysis of SAGE Data
Chiara Romualdi and Stefania Bortoluzzi
Chapter 7
Conversion of MPSS Orphan Tags into 3' ESTs
Anamaria A. Camargo, Ana Paula M. Silva, Dirce M. Cararro, Jianjun Chen, and San Ming Wang
Chapter 8
Mathematical Analysis and Modeling of SAGE Transcriptome
Vladimir A. Kuznetsov
Chapter 9
Statistical Analysis of SAGE Data
Michael Man
Chapter 10
Studies of Plant Gene Expression Using SAGE
W. Walter Lorenz and Jeffrey F.D. Dean
Chapter 11
SAGE Analysis of Embryonic Stem Cells
Kirill V. Tarasov, Sergey V. Anisimov, Yelena S. Tarasova, Daniel R. Riordon, Antoine Younes, Michael D. Stern, Anna M. Wobus and Kenneth R. Boheler
Chapter 12
Determining Transcriptome Differences Between Brain Territories
Michel de Chaldée, Marie-Claude Gaillard, and Jean-Marc Elalouf
Chapter 13
Identifying Selection Signatures in Mammalian Genes Through the Analysis of Patterns of Gene Expression
Araxi O. Urrutia and Laurence D. Hurst
Chapter 14
SAGE Identifies Transcripts Involved in Enhanced Performance of Endurance Athlete's Muscle
Jonny St-Amand, Hiroaki Tanakam, Naoko Shono, Eric E. Snyder, Munehiro Shindo and Mayumi Yoshioka
Chapter 15
Using SAGE to Analyze Signaling and Development in Drosophila
Heinrich Jasper
Chapter 16
Use of SAGE Technology to Reveal Changes in Gene Expression in Arabidopsis Undergoing Cold Stress
Dong-Hee Lee, Yun-Jung Byun, Ji-Yeon Lee, and Sun-Hee Jung
Chapter 17
SAGE Analysis of Age- and Sex-Associated Changes in Cardiac Gene Expression
Sergey V. Anisimov, Kirill V. Tarasov, Edward G. Lakatta and Kenneth R. Boheler
Chapter 18
Reverse Transcriptome: Identification of Novel Transcripts Through Novel SAGE Tags
San Ming Wang
(EAN: 9781904933076)
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