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Next-Generation MicroRNA Expression Profiling Technology
Methods and Protocols
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Main description:

The rapid pace of microRNA (miRNA) research continues to drive the advances of techniques for miRNA expression profiling, and innovative technologies that are more sensitive, specific, quantitative, and that are compatible with a wide range of biospecimens have been developed during the past few years. In Next-Generation MicroRNA Expression Profiling Technology: Methods and Protocols, expert researchers in the field contribute detailed examinations of the most current approaches being used today. This volume includes comprehensive coverage of methodologies that have been developed for miRNA profiling, as well as next-gen sequencing technology, miRNA databases, and specialized applications, such as cancer studies and miRNA-based non-invasive biomarker development. Written in the highly successful Methods in Molecular Biology (TM) series format, chapters feature 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.

Authoritative and cutting-edge, Next-Generation MicroRNA Expression Profiling Technology: Methods and Protocols provides an ideal guide for novices and experts alike who are seeking to utilize these powerful technologies.


Contents:

1. Controlling miRNA Regulation in Disease

Willemijn M. Gommans and Eugene Berezikov

2. Introduction to miRNA Profiling Technologies and Cross-Platform Comparison

Sarah Aldridge and James Hadfield

3. Stem-Loop RT-qPCR for MicroRNA Expression Profiling

James Hurley, Doug Roberts, Andrew Bond, David Keys, and Caifu Chen

4. Poly(T) Adaptor RT-PCR

Rui Shi, Ying-Husan Sun, Xing-Hai Zhang, and Vincent L. Chiang

5. MicroRNA In Situ Hybridization

Boye Schnack Nielsen

6. Agilent MicroRNA Microarray Profiling System

Petula N. D'Andrade and Stephanie Fulmer-Smentek

7. miRNA Gene Expression Profiling Using Illumina Universal BeadChips

Jing Chen, Craig S. April, and Jian-Bing Fan

8. MicroRNA Expression Analysis Using the Affymetrix Platform

Suzanne Dee and Robert C. Getts

9. Individualized miRNA Assay Panels Using Optically Encoded Beads

Keld Sorensen

10. Microfluidic Primer Extension Assay (MPEA)

Markus Beier and Valesca Boisguerin

11. MicroRNA Profiling Using Paraflo Microfluidic Array Technology

Xiaochuan Zhou, Qi Zhu, Christoph Eicken, Nijing Sheng, Xiaolin Zhang, Litao Yang, and Xiaolian Gao

12. MicroRNA Expression Analysis Using the Illumina MicroRNA-Seq Platform

Shujun Luo

13. Next Generation Sequencing of miRNAs with Roche 454 GS-FLX Technology: Steps for a Successful Application

Ana Raquel Soares, Patricia M. Pereira, and Manuel A.S. Santos

14. Methods for Small RNA Preparation for Digital Gene Expression Profiling by Next-Generation Sequencing

Sam E.V. Linsen and Edwin Cuppen

15. Profiling of Short RNAs Using Helicos Single-Molecule Sequencing

Philipp Kapranov, Fatih Ozsolak, and Patrice M. Milos

16. deepBase: Annotation and Discovery of microRNAs and Other Non-Coding RNAs from Deep Sequencing Data

Jian-Hua Yang and Liang-Hu Qu

17. PhenomiR: MicroRNAs in Human Diseases and Biological Processes

Andreas Ruepp, Andreas Kowarsch, and Fabian Theis

18. miRNA Expression Profiling: From Reference Genes to Global Mean Normalization

Barbara D'haene, Pieter Mestdagh, Jan Hellemans, and Jo Vandesompele

19. miRNA Data Analysis: Next-Gen Sequencing

Preethi H. Gunaratne, Cristian Coarfa, Benjamin Soibam, and Arpit Tandon

20. Integrated miRNA Expression Analysis and Target Prediction

William Ritchie and John E.J. Rasko

21. miRNAs in Human Cancer

Xiaomin Zhong, George Coukos, and Lin Zhang

22. Blood-Based miRNA Preparation for Non-Invasive Biomarker Development

Svenja Debey-Pascher, Jing Chen, Thorsten Voss, and Andrea Staratschek-Jox


PRODUCT DETAILS

ISBN-13: 9781617794261
Publisher: Springer (Humana Press Inc.)
Publication date: December, 2011
Pages: 352
Weight: 867g
Availability: Available
Subcategories: Genetics
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