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Protein Microarrays

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Cover of 'Protein Microarrays'

Table of Contents

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    Book Overview
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    Chapter 1 Reverse Phase Protein Microarrays for Clinical Applications
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    Chapter 2 Impact of Blocking and Detection Chemistries on Antibody Performance for Reverse Phase Protein Arrays
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    Chapter 3 Protein Microarrays
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    Chapter 4 Utilization of RNAi to Validate Antibodies for Reverse Phase Protein Arrays.
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    Chapter 5 Antibody-Mediated Signal Amplification for Reverse Phase Protein Array-Based Protein Quantification
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    Chapter 6 Reverse-Phase Protein Lysate Microarray (RPA) for the Experimental Validation of Quantitative Protein Network Models
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    Chapter 7 Characterization of Kinase Inhibitors Using Reverse Phase Protein Arrays
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    Chapter 8 Use of Formalin-Fixed and Paraffin-Embedded Tissues for Diagnosis and Therapy in Routine Clinical Settings
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    Chapter 9 Producing Reverse Phase Protein Microarrays from Formalin-Fixed Tissues
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    Chapter 10 Use of Reverse Phase Protein Microarrays to Study Protein Expression in Leukemia: Technical and Methodological Lessons Learned
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    Chapter 11 Antibody Microarrays as Tools for Biomarker Discovery
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    Chapter 12 Assessment of Antibody Specificity Using Suspension Bead Arrays
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    Chapter 13 Quantitative Analysis of Phosphoproteins Using Microspot Immunoassays
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    Chapter 14 Protein Microarrays
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    Chapter 15 High-throughput studies of protein glycoforms using antibody-lectin sandwich arrays.
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    Chapter 16 Microspot Immunoassay-Based Analysis of Plasma Protein Profiles for Biomarker Discovery Strategies
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    Chapter 17 Recombinant Antibodies for the Generation of Antibody Arrays
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    Chapter 18 Protein Microarrays
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    Chapter 19 Cell Arrays and High-Content Screening
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    Chapter 20 Probing Calmodulin Protein–Protein Interactions Using High-Content Protein Arrays
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    Chapter 21 Protein Microarrays
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    Chapter 22 Optimized Autoantibody Profiling on Protein Arrays
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    Chapter 23 Protein Microarrays
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    Chapter 24 Impact of substrates for probe immobilization.
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    Chapter 25 Contact Printing of Protein Microarrays
Attention for Chapter 14: Protein Microarrays
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Chapter title
Protein Microarrays
Chapter number 14
Book title
Protein Microarrays
Published in
Methods in molecular biology, July 2011
DOI 10.1007/978-1-61779-286-1_14
Pubmed ID
Book ISBNs
978-1-61779-285-4, 978-1-61779-286-1
Authors

Schröder, Christoph, Alhamdani, Mohamed S. S., Fellenberg, Kurt, Bauer, Andrea, Jacob, Anette, Hoheisel, Jörg D., Christoph Schröder, Mohamed S. S. Alhamdani, Kurt Fellenberg, Andrea Bauer, Anette Jacob, Jörg D. Hoheisel

Abstract

Antibody microarrays are a multiplexing technique for the analyses of hundreds of different analytes in parallel from small sample volumes of few microlitres only. With sensitivities in the picomolar to femtomolar range, they are gaining importance in proteomic analyses. These sensitivities can be obtained for complex protein samples without any pre-fractionation or signal amplification. Also, no expensive or elaborate protein depletion steps are needed. As with custom DNA-microarrays, the implementation of a dual-colour assay adds to assay robustness and reproducibility and was therefore a focus of our technical implementation. In order to perform antibody microarray experiments for large sets of samples and analytes in a robust manner, it was essential to optimise the experimental layout, the protein extraction, labelling and incubation as well as data processing steps. Here, we present our current protocol, which is used for the simultaneous analysis of the abundance of more than 800 proteins in plasma, urine, and tissue samples.

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Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 18%
Other 2 18%
Student > Master 2 18%
Student > Ph. D. Student 2 18%
Professor 1 9%
Other 2 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 45%
Medicine and Dentistry 3 27%
Unspecified 2 18%
Biochemistry, Genetics and Molecular Biology 1 9%