Gene expression analysis : methods and protocols

Author(s)

    • Raghavachari, Nalini
    • Garcia-Reyero, Natàlia

Bibliographic Information

Gene expression analysis : methods and protocols

edited by Nalini Raghavachari, Natàlia Garcia-Reyero

(Methods in molecular biology / John M. Walker, series editor, 1783)(Springer protocols)

Humana Press, 2018

  • : [hardback]

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Note

"Corrected publication 2018"--T.p. verso

Includes bibliographical references and index

Description and Table of Contents

Description

This volume provides experimental and bioinformatics approaches related to different aspects of gene expression analysis. Divided in three sections chapters detail wet-lab protocols, bioinformatics approaches, single-cell gene expression, highly multiplexed amplicon sequencing, multi-omics techniques, and targeted sequencing. Written in the highly successful Methods in Molecular Biology series format, chapters include 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, Gene Expression Analysis: Methods and Protocols aims provide useful information to researchers worldwide.

Table of Contents

1. Overview of Gene Expression Analysis - Transcriptomics Nalini Raghavachari and Natalia Reyero 2. RNA-Seq and Expression Arrays: Selection Guidelines for Genome-wide Expression Profiling Jessica Minnier, Nathan D. Pennock , Quichen Guo, Pepper Schedin, and Christina A. Harrington 3. A Guide for Designing and Analysing RNA-Seq Data Aniruddha Chatterjee, Antonio Ahn, Euan J Rodger, Peter A Stockwell, and Michael R Eccles 4. SureSelectXT RNA Direct: A Technique for Expression Analysis Through Sequencing of Target-enriched FFPE total RNA Jennifer Carter Jones, Alex P. Siebold, Carolina Becker Livi, and Anne Bergstrom Lucas 5. Simultaneous, Multiplexed Detection of RNA and Protein on the NanoString (R) nCounter (R) Platform Sarah Warren 6. Transcript Profiling Using Long-read Sequencing Technologies Anthony Bayega, Yu Chang Wang, Spyros Oikonomopoulos, Haig Djambazian, Somayyeh Fahiminiya, and Jiannis Ragoussis 7. Making and Sequencing Heavily-Multiplexed, High-throughput 16S Ribosomal RNA Gene Amplicon Libraries Using a Flexible, Two-stage PCR PROTOCOL Ankur Naqib, Silvana Poggi, Weihua Wang, Marieta Hyde, Kevin Kunstman, and Stefan J. Green 8. microRNA Expression Analysis - Next Generation Sequencing Poching Liu 9. Identification of Transcriptional Regulators that Bind to Long Noncoding RNAs by RNA Pull Down and RNA Immunoprecipitation Xiangbo Ruan, Ping Li, and Haiming Cao 10. Single-cell mRNA-Seq using the Fluidigm C1 System and Integrated Fluidics Circuits Haibiao Gong, Devin Do, and Ramesh Ramakrishnan 11. Current and Future Methods for mRNA Analysis: A Drive Towards Single Molecule Sequencing Anthony Bayega, Somayyeh Fahiminiya, Spyros Oikonomopoulos, and Jiannis Ragoussis 12. Expression Profiling of Differentially Regulated Genes in Fanconi Anemia Binita Zipporah E, Kavitha Govarthanan, Pavithra Shyamsunder, and Rama S Verma 13. A Review of Transcriptome Analysis in Pulmonary Vascular Diseases Dustin R. Fraidenburg and Roberto F. Machado 14. Differential Gene Expression Analysis of Plants Mark Arick II and Chuan-Yu Hsu 15. High Throughput Sequencing Based Approaches for Gene Expression Analysis. R. Raja Sekhara Reddy and M. V. Ramanujam 16. Network Analysis of Gene Expression Roby Joehanes 17. Analysis of ChIP-Seq and RNA-Seq data with BioWardrobe Sushmitha Vallabh, Andrey V. Kartashov, and Artem Barski 18. Bayesian Network to Infer Drug-induced Apoptosis Circuits from Connectivity Map Data Jiyang Yu and Jose M. Silva

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