Leading scientists in gene expression methodology and bioinformatics data analysis describe readily reproducible methods for measuring RNA levels in cells and tissues. The techniques presented include new methods for applying the Affymetrix GeneChip®, SAR-SAGE, StaRT-PCR, SSH, the Invader Assay®, and ADGEM. The authors also provide critical bioinformatics insight and resources for data analysis and management. By distilling the basic underlying principles of many methods to a few straightforward concepts, investigators can easily choose the method most appropriate to their application.
Technical Considerations in Quantitating Gene Expression Richard A. Shimkets Gene Expression Quantitation Technology Summary Richard A. Shimkets Standardized RT-PCR and the Standardized Expression Measurement Center James C. Willey, Erin L. Crawford, Charles R. Knight, K. A. Warner, Cheryl A. Motten, Elizabeth A. Herness, Robert J. Zahorchak, and Timothy G. Graves GeneCalling: Tranillegalscript Profiling Coupled to a Gene Database Query Richard A. Shimkets Invader Assay for RNA Quantitation Marilyn C. Olson, Tsetska Takova, LuAnne Chehak, Michelle L. Curtis, Sarah M. Olson, and Robert W. Kwiatkowski Monitoring Eukaryotic Gene Expression Using Oligonucleotide Microarrays Jennifer Lescallett, Marina E. Chicurel, Robert Lipshutz, and Dennise D. Dalma-Weiszhausz Amplified Differential Gene Expression Microarray, Zhijian J. Chen and Kenneth D. Tew Suppression Subtractive Hybridization Denis V. Rebrikov, Sejal M. Desai, Paul D. Siebart, and Sergey A. Lukyanov Small Amplified RNA-SAGE Catheline Vilain and Gilbert Vassart Gene Expression Informatics Martin D. Leach Index
The tranillegalscription of messenger RNA from a DNA template is a key process in a wide variety of biological systems. In Gene Expression Profiling: Methods and Protocols, leaders in gene expression methodology and bioinformatics data analysis share their best methods for measuring RNA levels in cells and tissues. Each proven protocol is described in step-by-step detail and contains an introduction outlining the principle behind the technique, lists of equipment and reagents, and tips on troubleshooting and avoiding known pitfalls. Special care has been taken to distill the basic underlying principles of each method to a few straightforward concepts so that investigators can easily choose the method most appropriate to their application. The readily reproducible techniques presented include new methods for applying the GeneChip®, SAR-SAGE, StaRT-PCR, SSH, the Invader Assay®, and ADGEM. The authors also provide critical bioinformatics insight and resources for data analysis and management.
Cutting-edge and highly practical, Gene Expression Profiling: Methods and Protocols allows novice and experienced investigators alike not only to choose the best method to determine how genes are turned on and off in many different organisms, but also to use informatics resources to analyze and understand the results.
Leading scientists in gene expression methodology and bioinformatics data analysis describe readily reproducible methods for measuring RNA levels in cells and tissues. The techniques presented include new methods for applying the Affymetrix GeneChip®, SAR-SAGE, StaRT-PCR, SSH, the Invader Assay®, and ADGEM. The authors also provide critical bioinformatics insight and resources for data analysis and management. By distilling the basic underlying principles of many methods to a few straightforward concepts, investigators can easily choose the method most appropriate to their application. The tranillegalscription of messenger RNA from a DNA template is a key process in a wide variety of biological systems. In Gene Expression Profiling: Methods and Protocols, leaders in gene expression methodology and bioinformatics data analysis share their best methods for measuring RNA levels in cells and tissues. Each proven protocol is described in step-by-step detail and contains an introduction outlining the principle behind the technique, lists of equipment and reagents, and tips on troubleshooting and avoiding known pitfalls. Special care has been taken to distill the basic underlying principles of each method to a few straightforward concepts so that investigators can easily choose the method most appropriate to their application. The readily reproducible techniques presented include new methods for applying the GeneChip®, SAR-SAGE, StaRT-PCR, SSH, the Invader Assay®, and ADGEM. The authors also provide critical bioinformatics insight and resources for data analysis and management.
Cutting-edge and highly practical, Gene Expression Profiling: Methods and Protocols allows novice and experienced investigators alike not only to choose the best method to determine how genes are turned on and off in many different organisms, but also to use informatics resources to analyze and understand the results.
Technical Considerations in Quantitating Gene Expression
Richard A. Shimkets
Gene Expression Quantitation Technology Summary
Richard A. Shimkets
Standardized RT-PCR and the Standardized Expression Measurement Center
James C. Willey, Erin L. Crawford, Charles R. Knight, K. A. Warner, Cheryl A. Motten, Elizabeth A. Herness, Robert J. Zahorchak, and Timothy G. Graves
GeneCalling: Tranillegalscript Profiling Coupled to a Gene Database Query
Richard A. Shimkets
Invader Assay for RNA Quantitation
Marilyn C. Olson, Tsetska Takova, LuAnne Chehak, Michelle L. Curtis, Sarah M. Olson, and Robert W. Kwiatkowski
Monitoring Eukaryotic Gene Expression Using Oligonucleotide Microarrays
Jennifer Lescallett, Marina E. Chicurel, Robert Lipshutz, and Dennise D. Dalma-Weiszhausz
Amplified Differential Gene Expression Microarray, Zhijian J. Chen and Kenneth D. Tew
Suppression Subtractive Hybridization
Denis V. Rebrikov, Sejal M. Desai, Paul D. Siebart, and Sergey A. Lukyanov
Small Amplified RNA-SAGE
Catheline Vilain and Gilbert Vassart
Gene Expression Informatics
Martin D. Leach
Index
Inhaltsverzeichnis
Technical Considerations in Quantitating Gene Expression
Richard A. Shimkets
Gene Expression Quantitation Technology Summary
Richard A. Shimkets
Standardized RT-PCR and the Standardized Expression Measurement Center
James C. Willey, Erin L. Crawford, Charles R. Knight, K. A. Warner, Cheryl A. Motten, Elizabeth A. Herness, Robert J. Zahorchak, and Timothy G. Graves
GeneCalling: Tranillegalscript Profiling Coupled to a Gene Database Query
Richard A. Shimkets
Invader Assay for RNA Quantitation
Marilyn C. Olson, Tsetska Takova, LuAnne Chehak, Michelle L. Curtis, Sarah M. Olson, and Robert W. Kwiatkowski
Monitoring Eukaryotic Gene Expression Using Oligonucleotide Microarrays
Jennifer Lescallett, Marina E. Chicurel, Robert Lipshutz, and Dennise D. Dalma-Weiszhausz
Amplified Differential Gene Expression Microarray, Zhijian J. Chen and Kenneth D. Tew
Suppression Subtractive Hybridization
Denis V. Rebrikov, Sejal M. Desai, Paul D. Siebart, and Sergey A. Lukyanov
Small Amplified RNA-SAGE
Catheline Vilain and Gilbert Vassart
Gene Expression Informatics
Martin D. Leach
Index
Klappentext
Leading scientists in gene expression methodology and bioinformatics data analysis describe readily reproducible methods for measuring RNA levels in cells and tissues. The techniques presented include new methods for applying the Affymetrix GeneChip®, SAR-SAGE, StaRT-PCR, SSH, the Invader Assay®, and ADGEM. The authors also provide critical bioinformatics insight and resources for data analysis and management. By distilling the basic underlying principles of many methods to a few straightforward concepts, investigators can easily choose the method most appropriate to their application.
Includes supplementary material: sn.pub/extras
