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Current Technologies and Applications

San Ming Wang
Publication Date:
January 27, 2005
Content Details:
350 pages

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List Price:   $249.00

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  • About the Book

    Book Summary

    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.


    • SAGE is essential to all researchers interested in or working with SAGE technology.
    • This book covers every aspect of SAGE technology.
    • This book has been written by recognised experts in the field.


      This book is a thorough treatment of SAGE (Serial Analysis of Gene Expression) - Society for General Microbiology

      The first chapter appropriately starts with an excellent introduction and expounds one of the two important principles stated above: indetifying the SAGE tag gene of origin - Expert Review of Molecular Diagnostics, March 2006

  • Contents

    1. Evaluation of SAGE Tags for Transcriptome Study. 2. CAGE: A Novel Approach for Rapid Gene Discovery and Gene Network Identification. 3. SuperSAGE: A Potent Transcriptome Tool for Eukaryotic Organisms. 4. An Improved Protocol for SAGE Tag-to-gene Allocation. 5. Using HPLC to Purify Ditags for SAGE Library Construction. 6. Web Tools for Statistical Analysis of SAGE Data. 7. Convert MPSS Orphan Tags into 3' ESTs. 8. Mathematical Analysis and Modeling of SAGE Transcriptome. 9. Statistical Analysis of SAGE Data. 10. Studies of Plant Gene Expression Using SAGE. 11. SAGE Analysis of Embryonic Stem Cells. 12. Determining Transcriptome Differences Between Brain Territories. 13. Identifying Selection Signatures in Mammalian Genes Through the Analysis of Patterns of Gene Expression. 14. SAGE Identifies Transcripts Involved in Enhanced Performance of Endurance Athlete's Muscle. 15. Using SAGE to Analyze Signaling and Development in Drosophila. 16. Use of SAGE Technology to Reveal Changes in Gene Expression in Arabidopsis Undergoing Cold Stress. 17. SAGE Analysis of Age- and Sex-Associated Changes in Cardiac Gene Expression. 18. Reverse Transcriptome: Identification of Novel Transcripts Through Novel SAGE Tags.