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Main Title Serial analysis of gene expression (SAGE) : methods and protocols /
Other Authors
Author Title of a Work
Nielsen, Kêare Lehmann.
Publisher Humana Press,
Year Published 2008
OCLC Number 71552470
ISBN 1588296768; 9781588296764
Subjects Gene expression--Research--Methodology ; Messenger RNA--Analysis ; SAGE (Biochemie) ; Gene Expression--Genetics--https://idnlmnihgov/mesh/D015870Q000235 ; Gene Expression Profiling--https://idnlmnihgov/mesh/D020869 ; Sequence Analysis, DNA--https://idnlmnihgov/mesh/D017422 ; Algorithms--https://idnlmnihgov/mesh/D000465 ; Genomics--https://idnlmnihgov/mesh/D023281 ; RNA--genetics--https://idnlmnihgov/mesh/D012313Q000235 ; Gene Expression--Genetics--Laboratory Manuals ; Algorithms--Laboratory Manuals ; Gene Expression Profiling--Laboratory Manuals ; Genomics--Laboratory Manuals ; RNA--genetics--Laboratory Manuals ; Sequence Analysis, DNA--Laboratory Manuals
Internet Access
Description Access URL
Table of contents
Publisher description
Library Call Number Additional Info Location Last
ELBM  QH450.S47 2008 AWBERC Library/Cincinnati,OH 12/07/2015
Collation x, 208 pages : illustrations ; 24 cm.
Includes bibliographical references and index.
Contents Notes
"Serial Analysis of Gene Expression (SAGE): Digital Gene Expression Profiling facilitates the introduction of SAGE into the laboratory, and provides a framework for interpreting and comparing data derived from SAGE experiments. Of the several methods of genetic profiling available, only SAGE measures the expression of both known and unknown genes. SAGE studies encompass 50,000 tags and can provide detailed knowledge of the 2000 most highly expressed genes in the tissue sample. The SAGE protocols presented are detailed, fully annotated, and tested, and are all written by experienced SAGE researchers from around the world. Part 1 is dedicated to experimental procedures of SAGE and related methods including aRNA LongSAGE, SuperSAGE, DeepSAGE, and GMAT. Part 2 provides methods for extraction and filtration of tags, analysis of ditag populations, and completing statistically correct comparisons of gene expression profiles. Comparative transcriptomics enables scientists to understand the underlying genetics of biological changes such as development, disease, crop yield, and resistance. SAGE analysis is also used to obtain unknown tags, which can be used as gene-specific primers in Rapid Amplification of cDNA Ends (RACE) reactions to generate full-length transcripts for cloning and sequencing. This book will be an indispensable tool for any lab engaged in genetic profiling and comparative transcriptomics, and will help many laboratories to successfully implement tag-based sequencing methods and procedures and obtain comprehensive, useful, and interpretative data."--Publisher's website. SAGE and LongSAGE / Annabeth Laursen H²gh and Kêare Lehmann Nielsen -- Robust-LongSAGE (RL-SAGE) : an improved LongSAGE method for high-throughput transcriptome analysis / Malali Gowda and Guo-Liang Wang -- aRNA LongSAGE : SAGE with antisense RNA / Anna M. Heidenblut -- SuperSAGE / Hideo Matsumura [and others] -- Low-cost-medium throughput Sanger dideoxy sequencing / Kêare Lehmann Nielsen -- DeepSAGE : higher sensitivity and multiplexing of samples using a simpler experimental protocol / Kêare Lehmann Nielsen -- High-resolution, genome-wide mapping of chromatin modifications by GMAT / Tae-Young Roh and Keji Zhao -- 5'- and 3'-RACEfrom LongSAGE tags / Kêare Lehmann Nielsen -- Extraction and annotation of SAGE tags using sequence quality values / Jeppe Emmersen -- Correction of technology-related artifacts in serial analysis of gene expression / Viatcheslav R. Akmaev -- Duplicate ditag analysis in LongSAGE / Jeppe Emmersen -- Statistical comparison of two or more SAGE libraries : one tag at a time / Gerben J. Schaaf [and others] -- Scaling of gene expression data allowing the comparison of different gene expression platforms / Fred van Ruissen [and others] -- Clustering analysis of SAGE transcription profiles using a Poisson approach / Haiyan Huang, Li Cai, and Wing H. Wong -- Identifying nonspecific SAGE tags by context of gene expression / Xijin Ge and San Ming Wang.