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The Low Molecular Weight Proteome

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Cover of 'The Low Molecular Weight Proteome'

Table of Contents

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    Book Overview
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    Chapter 1 Narrow-Range Peptide Isoelectric Focusing as Peptide Prefractionation Method Prior to Tandem Mass Spectrometry Analysis
  3. Altmetric Badge
    Chapter 2 Analysis of Peptides by Denaturing Ultrafiltration and LC-MALDI-TOF-MS.
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    Chapter 3 Stable Isotope Labeling Methods in Protein Profiling
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    Chapter 4 Development of MRM-Based Assays for the Absolute Quantitation of Plasma Proteins
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    Chapter 5 Mass Spectrometric Profiling of Low-Molecular-Weight Proteins
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    Chapter 6 Developing an iMALDI Method.
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    Chapter 7 Analysis of Neuropeptides by MALDI Imaging Mass Spectrometry
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    Chapter 8 Highly Multiplexed Antibody Suspension Bead Arrays for Plasma Protein Profiling
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    Chapter 9 Protein Quantification by Peptide Quality Control (PQPQ) of Shotgun Proteomics Data
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    Chapter 10 Collection and Handling of Blood Specimens for Peptidomics
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    Chapter 11 An Automated RP–SCX Solid-Phase Extraction Procedure for Urinary Peptidomics Biomarker Discovery Studies
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    Chapter 12 Application of Phage Display for Ligand Peptidomics to Identify Peptide Ligands Binding to AQP2-Expressing Membrane Fractions.
  14. Altmetric Badge
    Chapter 13 Protein Expression Profiling of Brain Tumor Tissue Using SELDI-MS
  15. Altmetric Badge
    Chapter 14 Comprehensive Analysis of MHC Ligands in Clinical Material by Immunoaffinity-Mass Spectrometry
Attention for Chapter 11: An Automated RP–SCX Solid-Phase Extraction Procedure for Urinary Peptidomics Biomarker Discovery Studies
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Chapter title
An Automated RP–SCX Solid-Phase Extraction Procedure for Urinary Peptidomics Biomarker Discovery Studies
Chapter number 11
Book title
The Low Molecular Weight Proteome
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-4614-7209-4_11
Pubmed ID
Book ISBNs
978-1-4614-7167-7, 978-1-4614-7209-4
Authors

Crina I. A. Balog, Rico Derks, Oleg A. Mayboroda, André M. Deelder, Balog, Crina I. A., Derks, Rico, Mayboroda, Oleg A., Deelder, André M.

Abstract

Urine represents the most easily obtainable body fluid and consequently one of the most common samples in clinical chemistry. The majority of pathological changes in human organs may well be reflected in urine. In this way, urine analysis can aid in disease diagnosis, treatment monitoring, and prognosis. Currently, the most commonly used method for identification of new urine biomarkers involves centrifugation of the urine sample to collect either the soluble urine proteins or the urinary exosomes followed by 1 or 2 protein purification and separation steps before visualization and finally identification of potential biomarkers, usually by mass spectrometry. Here we present a generally applicable, rapid, and robust method for screening large number of urine samples, resulting in a broad spectrum of native peptides, as a tool to be used for biomarker discovery. The method combines online sample pretreatment with a well-established mass spectrometric technique. Native peptides are extracted from urine samples on a miniaturized reverse-phase-strong cation exchange cartridge system. As the proper identification of native peptides often requires combination of data acquired on different mass analyzers, we have aimed at a procedure providing us with sufficient material to identify and characterize the differentially expressed markers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 4 31%
Professor 2 15%
Student > Bachelor 1 8%
Student > Master 1 8%
Other 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 38%
Medicine and Dentistry 4 31%
Nursing and Health Professions 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Psychology 1 8%
Other 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 January 2014.
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#18,360,179
of 22,739,983 outputs
Outputs from Methods in molecular biology
#7,856
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Outputs of similar age
#218,100
of 280,818 outputs
Outputs of similar age from Methods in molecular biology
#220
of 341 outputs
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