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Serum/Plasma Proteomics

Overview of attention for book
Cover of 'Serum/Plasma Proteomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Direct Assessment of Plasma/Serum Sample Quality for Proteomics Biomarker Investigation
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    Chapter 2 A Protocol for the Preparation of Cryoprecipitate and Cryo-depleted Plasma for Proteomic Studies
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    Chapter 3 Preparation of Platelet Concentrates for Research and Transfusion Purposes
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    Chapter 4 Bead-Based and Multiplexed Immunoassays for Protein Profiling via Sequential Affinity Capture
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    Chapter 5 Affinity Proteomics for Fast, Sensitive, Quantitative Analysis of Proteins in Plasma
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    Chapter 6 Characterization of the Low-Molecular-Weight Human Plasma Peptidome
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    Chapter 7 In-Depth, Reproducible Analysis of Human Plasma Using IgY 14 and SuperMix Immunodepletion
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    Chapter 8 Low-Molecular-Weight Plasma Proteome Analysis Using Top-Down Mass Spectrometry
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    Chapter 9 Identification of Post-Translational Modifications from Serum/Plasma by Immunoaffinity Enrichment and LC-MS/MS Analysis Without Depletion of Abundant Proteins
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    Chapter 10 Identification of Core-Fucosylated Glycoproteome in Human Plasma
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    Chapter 11 Proteomic Analysis of Blood Extracellular Vesicles in Cardiovascular Disease by LC-MS/MS Analysis
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    Chapter 12 Targeted Approach for Proteomic Analysis of a Hidden Membrane Protein
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    Chapter 13 Red Blood Cells in Clinical Proteomics
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    Chapter 14 High-Throughput Quantitative Lipidomics Analysis of Nonesterified Fatty Acids in Plasma by LC-MS
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    Chapter 15 Simultaneous Enrichment of Plasma Extracellular Vesicles and Glycoproteome for Studying Disease Biomarkers
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    Chapter 16 Lipidomics of Human Blood Plasma by High-Resolution Shotgun Mass Spectrometry
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    Chapter 17 Proteomics Analysis of Circulating Serum Exosomes
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    Chapter 18 High-Density Serum/Plasma Reverse Phase Protein Arrays
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    Chapter 19 Antibody Colocalization Microarray for Cross-Reactivity-Free Multiplexed Protein Analysis
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    Chapter 20 Surface Profiling of Extracellular Vesicles from Plasma or Ascites Fluid Using DotScan Antibody Microarrays
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    Chapter 21 Serum Profiling for Identification of Autoantibody Signatures in Diseases Using Protein Microarrays
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    Chapter 22 Quantitative Comparisons of Large Numbers of Human Plasma Samples Using TMT10plex Labeling
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    Chapter 23 Efficient Quantitative Comparisons of Plasma Proteomes Using Label-Free Analysis with MaxQuant
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    Chapter 24 Blood and Plasma Proteomics: Targeted Quantitation and Posttranslational Redox Modifications
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    Chapter 25 SWATH Mass Spectrometry for Proteomics of Non-Depleted Plasma
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    Chapter 26 Shotgun and Targeted Plasma Proteomics to Predict Prognosis of Non-Small Cell Lung Cancer
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    Chapter 27 High-Throughput Parallel Proteomic Sample Preparation Using 96-Well Polyvinylidene Fluoride (PVDF) Membranes and C18 Purification Plates
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    Chapter 28 Targeted Quantification of the Glycated Peptides of Human Serum Albumin
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    Chapter 29 Absolute Quantification of Middle- to High-Abundant Plasma Proteins via Targeted Proteomics
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    Chapter 30 A Highly Automated Shotgun Proteomic Workflow: Clinical Scale and Robustness for Biomarker Discovery in Blood
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    Chapter 31 Mass Spectrometry-Based Serum Proteomics for Biomarker Discovery and Validation
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    Chapter 32 Metabolomics Toward Biomarker Discovery
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    Chapter 33 Plasma Biomarker Identification and Quantification by Microparticle Proteomics
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    Chapter 34 Bronchoalveolar Lavage: Quantitative Mass Spectrometry-Based Proteomics Analysis in Lung Diseases
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    Chapter 35 Protein Multiplexed Immunoassay Analysis with R
Attention for Chapter 10: Identification of Core-Fucosylated Glycoproteome in Human Plasma
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Chapter title
Identification of Core-Fucosylated Glycoproteome in Human Plasma
Chapter number 10
Book title
Serum/Plasma Proteomics
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7057-5_10
Pubmed ID
28674882
Book ISBNs
978-1-4939-7056-8, 978-1-4939-7057-5
Authors

Cao, Qichen, Zhao, Qing, Qian, Xiaohong, Ying, Wantao, Qichen Cao, Qing Zhao, Xiaohong Qian, Wantao Ying

Editors

David W. Greening, Richard J. Simpson

Abstract

The core-fucosylated (CF) glycoproteins are widely distributed in mammalian tissues and regulated under pathological conditions, especially in cancer progression. The Food and Drug Administration (FDA) has approved the core-fucosylated α-fetoprotein as a biomarker for the early diagnosis of hepatocellular carcinoma (HCC). An approach for identifying CF glycoproteins has significantly practical value. Here we introduce a novel method for identification of CF glycoproteome in human plasma. The method integrates tandem glycopeptide enrichment, stepped fragmentation, and "glycan diagnostic ion"-based spectrum refinement. With this method, the productivity of identifying CF glycopeptides will be significantly improved. We anticipate that this method could be widely utilized to explore the CF glycoproteins and their regulation under physiological or pathological condition.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 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 %
Student > Ph. D. Student 2 18%
Professor > Associate Professor 2 18%
Student > Master 1 9%
Unspecified 1 9%
Other 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Pharmacology, Toxicology and Pharmaceutical Science 2 18%
Unspecified 1 9%
Chemistry 1 9%
Medicine and Dentistry 1 9%
Other 0 0%
Unknown 4 36%
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 05 July 2017.
All research outputs
#19,011,832
of 23,567,572 outputs
Outputs from Methods in molecular biology
#8,187
of 13,353 outputs
Outputs of similar age
#241,194
of 314,419 outputs
Outputs of similar age from Methods in molecular biology
#159
of 260 outputs
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So far Altmetric has tracked 13,353 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.

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