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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 2: The Application of Multiplex Biomarker Techniques for Improved Stratification and Treatment of Schizophrenia Patients.
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Chapter title
The Application of Multiplex Biomarker Techniques for Improved Stratification and Treatment of Schizophrenia Patients.
Chapter number 2
Book title
Multiplex Biomarker Techniques
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6730-8_2
Pubmed ID
Book ISBNs
978-1-4939-6729-2, 978-1-4939-6730-8
Authors

Johann Steiner, Paul C. Guest, Hassan Rahmoune, Daniel Martins-de-Souza

Editors

Paul C. Guest

Abstract

In the case of major psychiatric disorders such as schizophrenia, shortcomings in the conversion of scientific discoveries into newer and safer treatment options has led to a loss of confidence and precipitated a crisis for large pharmaceutical companies. This chapter describes how incorporation of multiplex biomarker approaches into the clinical pipeline can lead to better patient characterization, delivery of novel treatment approaches and help to renew efforts in this important area. The development of specific biomarker test panels for disease prediction should facilitate early intervention strategies, which may help to slow disease development or progression. Furthermore, the development of such tests using lab-on-a-chip and smartphone platforms will help to shift diagnosis and treatment of this major disorder into a point-of-care setting for improved patient outcomes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 19%
Student > Postgraduate 5 11%
Student > Ph. D. Student 5 11%
Student > Master 4 9%
Student > Doctoral Student 4 9%
Other 7 15%
Unknown 13 28%
Readers by discipline Count As %
Medicine and Dentistry 14 30%
Psychology 7 15%
Nursing and Health Professions 3 6%
Computer Science 3 6%
Agricultural and Biological Sciences 2 4%
Other 4 9%
Unknown 14 30%