Gene Expression Analysis

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.

Includes cutting-edge methods an protocols Provides step-by-step detail essential for reproducible results Contains key notes and implementation advice from the experts

Inhalt
Overview of Gene Expression Analysis Transcriptomics.- RNA-Seq and Expression Arrays: Selection Guidelines for Genome-wide Expression Profiling.- A Guide for Designing and Analysing RNA-Seq Data.- SureSelect XT RNA Direct: A Technique for Expression Analysis Through Sequencing of Target-enriched FFPE total RNA.- Simultaneous, Multiplexed Detection of RNA and Protein on the NanoString ® nCounter ® Platform.- Transcript Profiling Using Long-read Sequencing Technologies.- Making and Sequencing Heavily-Multiplexed, High-throughput 16S Ribosomal RNA Gene Amplicon Libraries Using a Flexible, Two-stage PCR PROTOCOL .- microRNA Expression Analysis - Next Generation Sequencing.- Identification of Transcriptional Regulators that Bind to Long Noncoding RNAs by RNA Pull Down and RNA Immunoprecipitation.- Single-cell mRNA-Seq using the Fluidigm C1 System and Integrated Fluidics Circuits.- Current and Future Methods for mRNA Analysis: A Drive Towards Single Molecule Sequencing.- Expression Profiling of Differentially Regulated Genes in Fanconi Anemia.- A Review of Transcriptome Analysis in Pulmonary Vascular Diseases.- Differential Gene Expression Analysis of Plants.- High Throughput Sequencing Based Approaches for Gene Expression Analysis.- Network Analysis of Gene Expression.- Analysis of ChIP-Seq and RNA-Seq data with BioWardrobe.- Bayesian Network to Infer Drug-induced Apoptosis Circuits from Connectivity Map Data.