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Multiplex Biomarker Techniques

Overview of attention for book
Cover of 'Multiplex Biomarker Techniques'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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 25: Lab-on-a-Chip Multiplex Assays.
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Chapter title
Lab-on-a-Chip Multiplex Assays.
Chapter number 25
Book title
Multiplex Biomarker Techniques
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6730-8_25
Pubmed ID
27896778
Book ISBNs
978-1-4939-6729-2, 978-1-4939-6730-8
Authors

Harald Peter, Julia Wienke, Frank F. Bier

Editors

Paul C. Guest

Abstract

Lab-on-a-chip multiplex assays allow a rapid identification of multiple parameters in an automated manner. Here we describe a lab-based preparation followed by a rapid and fully automated DNA microarray hybridization and readout in less than 10 min using the Fraunhofer in vitro diagnostics (ivD) platform to enable rapid identification of bacterial species and detection of antibiotic resistance. The use of DNA microarrays allows a fast adaptation of new biomarkers enabling the identification of different genes as well as single-nucleotide-polymorphisms (SNPs) within these genes. In this protocol we describe a DNA microarray developed for identification of Staphylococcus aureus and the mecA resistance gene.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Researcher 3 15%
Student > Bachelor 3 15%
Other 2 10%
Professor 2 10%
Other 2 10%
Unknown 4 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 25%
Agricultural and Biological Sciences 3 15%
Medicine and Dentistry 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Unspecified 1 5%
Other 2 10%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 March 2017.
All research outputs
#14,749,321
of 22,908,162 outputs
Outputs from Methods in molecular biology
#4,646
of 13,132 outputs
Outputs of similar age
#239,453
of 420,477 outputs
Outputs of similar age from Methods in molecular biology
#409
of 1,074 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.

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