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Multiplex Biomarker Techniques

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Cover of 'Multiplex Biomarker Techniques'

Table of Contents

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    Book Overview
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    Chapter 1 Application of Multiplex Biomarker Approaches to Accelerate Drug Discovery and Development.
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    Chapter 2 The Application of Multiplex Biomarker Techniques for Improved Stratification and Treatment of Schizophrenia Patients.
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    Chapter 3 Multiplex Biomarker Approaches in Type 2 Diabetes Mellitus Research.
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    Chapter 4 LC-MS(E), Multiplex MS/MS, Ion Mobility, and Label-Free Quantitation in Clinical Proteomics.
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    Chapter 5 Phenotyping Multiple Subsets of Immune Cells In Situ in FFPE Tissue Sections: An Overview of Methodologies.
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    Chapter 6 Identification and Clinical Translation of Biomarker Signatures: Statistical Considerations.
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    Chapter 7 Opportunities and Challenges of Multiplex Assays: A Machine Learning Perspective.
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    Chapter 8 Multiplex Analyses Using Real-Time Quantitative PCR.
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    Chapter 9 Multiplex Analysis Using cDNA Transcriptomic Profiling.
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    Chapter 10 Multiplex Single Nucleotide Polymorphism Analyses.
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    Chapter 11 Pulsed SILAC as a Approach for miRNA Targets Identification in Cell Culture.
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    Chapter 12 Blood Bio-Sampling Procedures for Multiplex Biomarkers Studies.
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    Chapter 13 Multiplex Immunoassay Profiling.
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    Chapter 14 Multiplex Sequential Immunoprecipitation of Insulin Secretory Granule Proteins from Radiolabeled Pancreatic Islets.
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    Chapter 15 Two Dimensional Gel Electrophoresis of Insulin Secretory Granule Proteins from Biosynthetically-Labeled Pancreatic Islets.
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    Chapter 16 Depletion of Highly Abundant Proteins of the Human Blood Plasma: Applications in Proteomics Studies of Psychiatric Disorders.
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    Chapter 17 Simultaneous Two-Dimensional Difference Gel Electrophoresis (2D-DIGE) Analysis of Two Distinct Proteomes.
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    Chapter 18 Selective Reaction Monitoring for Quantitation of Cellular Proteins.
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    Chapter 19 Characterization of a Protein Interactome by Co-Immunoprecipitation and Shotgun Mass Spectrometry.
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    Chapter 20 Using (15)N-Metabolic Labeling for Quantitative Proteomic Analyses.
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    Chapter 21 Multiplex Measurement of Serum Folate Vitamers by UPLC-MS/MS.
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    Chapter 22 UPLC-MS/MS Determination of Deuterated 25-Hydroxyvitamin D (d3-25OHD3) and Other Vitamin D Metabolites for the Measurement of 25OHD Half-Life.
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    Chapter 23 iTRAQ-Based Shotgun Proteomics Approach for Relative Protein Quantification.
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    Chapter 24 (1)H NMR Metabolomic Profiling of Human and Animal Blood Serum Samples.
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    Chapter 25 Lab-on-a-Chip Multiplex Assays.
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    Chapter 26 Multiplex Smartphone Diagnostics.
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    Chapter 27 Development of a User-Friendly App for Assisting Anticoagulation Treatment.
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    Chapter 28 Multiplex Biomarker Approaches to Enable Point-of-Care Testing and Personalized Medicine.
Attention for Chapter 9: Multiplex Analysis Using cDNA Transcriptomic Profiling.
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Citations

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Chapter title
Multiplex Analysis Using cDNA Transcriptomic Profiling.
Chapter number 9
Book title
Multiplex Biomarker Techniques
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6730-8_9
Pubmed ID
Book ISBNs
978-1-4939-6729-2, 978-1-4939-6730-8
Authors

Steve F. C. Hawkins, Paul C. Guest

Editors

Paul C. Guest

Abstract

DNA microarrays contain microscopic DNA spots attached to a solid surface. Each spot contains picomolar levels of a specific DNA probe sequence and hybridization to the corresponding gene products can be detected and quantitated through the use of fluorescently labeled target DNA. In this format, DNA microarrays can be used to measure the expression level of thousands of genes in a single experiment. Here, we present a method to detect the mRNA transcriptional changes in neuronal precursor cells following differentiation using high density cDNA microarrays.