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Clinical Proteomics

Overview of attention for book
Cover of 'Clinical Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Biological Sample Collection for Clinical Proteomics: Existing SOPs.
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    Chapter 2 Targeting the proteome of cellular fractions: focus on secreted proteins.
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    Chapter 3 Preparation of urinary exosomes: methodological issues for clinical proteomics.
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    Chapter 4 Sample treatment methods involving combinatorial Peptide ligand libraries for improved proteomes analyses.
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    Chapter 5 Glycoprotein Enrichment Method Using a Selective Magnetic Nano-Probe Platform (MNP) Functionalized with Lectins.
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    Chapter 6 The Latest Advancements in Proteomic Two-dimensional Gel Electrophoresis Analysis Applied to Biological Samples.
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    Chapter 7 2DE Maps in the Discovery of Human Autoimmune Kidney Diseases: The Case of Membranous Glomerulonephritis.
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    Chapter 8 MALDI-Imaging Mass Spectrometry on Tissues.
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    Chapter 9 Laser Capture Microdissection of Fluorescently Labeled Amyloid Plaques from Alzheimer’s Disease Brain Tissue for Mass Spectrometric Analysis
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    Chapter 10 Urine Sample Preparation and Fractionation for Global Proteome Profiling by LC-MS.
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    Chapter 11 Methods in capillary electrophoresis coupled to mass spectrometry for the identification of clinical proteomic/peptidomic biomarkers in biofluids.
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    Chapter 12 Quantification of proteins in urine samples using targeted mass spectrometry methods.
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    Chapter 13 Statistical issues in the design and planning of proteomic profiling experiments.
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    Chapter 14 Integrating Proteomics Profiling Data Sets: A Network Perspective
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    Chapter 15 The European medicines agency experience with biomarker qualification.
Attention for Chapter 10: Urine Sample Preparation and Fractionation for Global Proteome Profiling by LC-MS.
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Chapter title
Urine Sample Preparation and Fractionation for Global Proteome Profiling by LC-MS.
Chapter number 10
Book title
Clinical Proteomics
Published in
Methods in molecular biology, October 2014
DOI 10.1007/978-1-4939-1872-0_10
Pubmed ID
25384746
Book ISBNs
978-1-4939-1871-3, 978-1-4939-1872-0
Authors

Court M, Garin J, Masselon CD, Magali Court, Jérôme Garin, Christophe D. Masselon, Court, Magali, Garin, Jérôme, Masselon, Christophe D.

Editors

Antonia Vlahou, Manousos Makridakis

Abstract

Urine has garnered tremendous interest over the past decade as a potential source of protein biomarkers for various pathologies. However, due to its low protein concentration and the presence of interfering compounds, urine constitutes a challenging analyte in proteomics. In the context of a project aimed at the discovery and evaluation of new candidate biomarkers of bladder cancer in urine, our laboratory has implemented and evaluated an array of preparation techniques for urinary proteome analysis. We present here the protocol that, in our hands, yielded the best overall proteome coverage with the lowest analytical effort. It begins with protein precipitation using trichloroacetic acid, in solution digestion and RP-C18 cartridge desalting of the resulting peptides mixture, and is followed by peptide fractionation by gel-free isoelectric focusing, and nano-LC-MS/MS for database compilation.

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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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Ph. D. Student 2 14%
Student > Master 2 14%
Unspecified 1 7%
Student > Doctoral Student 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Chemistry 3 21%
Biochemistry, Genetics and Molecular Biology 2 14%
Unspecified 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 3 21%
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 03 December 2017.
All research outputs
#16,486,930
of 25,050,563 outputs
Outputs from Methods in molecular biology
#5,239
of 14,095 outputs
Outputs of similar age
#149,749
of 265,045 outputs
Outputs of similar age from Methods in molecular biology
#31
of 126 outputs
Altmetric has tracked 25,050,563 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,095 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 58% 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 265,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 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 72% of its contemporaries.

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