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Serum/Plasma Proteomics

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

Table of Contents

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    Book Overview
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    Chapter 1 Protocols for the Isolation of Platelets for Research and Contrast to Production of Platelet Concentrates for Transfusion
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    Chapter 2 Collection of Plasma Samples in Areas with Limited Healthcare Access
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    Chapter 3 Blood Collection Processing and Handling for Plasma and Serum Proteomics
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    Chapter 4 Preparation of Cryoprecipitate and Cryo-depleted Plasma for Proteomic Research Analysis
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    Chapter 5 High-Throughput Proteome Profiling of Plasma and Native Plasma Complexes Using Native Chromatography
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    Chapter 6 High-Throughput and In-Depth Proteomic Profiling of 5 μL Plasma and Serum Using TMTpro 16-Plex
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    Chapter 7 An Optimized Data-Independent Acquisition Strategy for Comprehensive Analysis of Human Plasma Proteome
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    Chapter 8 In-Depth Blood Proteome Profiling by Extensive Fractionation and Multiplexed Quantitative Mass Spectrometry
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    Chapter 9 Early Cancer Biomarker Discovery Using DIA-MS Proteomic Analysis of EVs from Peripheral Blood
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    Chapter 10 Strategies to Enrich, Identify, and Characterize Glycoproteome in Blood Plasma Using Liquid Chromatography High-Resolution Mass Spectrometry
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    Chapter 11 Proteome Analysis of Whole Blood Collected by Volumetric Absorptive Microsampling
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    Chapter 12 Proteomic Applications and Considerations: From Research to Patient Care
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    Chapter 13 Immunoaffinity Mass Spectrometry Diagnostic Tests for Multi-Biomarker Assays
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    Chapter 14 Secretome Profile of Leukocyte-Platelet-Rich Fibrin (L-PRF) Membranes
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    Chapter 15 Quantification of Proteins in Blood by Absorptive Microtiter Plate-Based Affinity Purification Coupled to Liquid Chromatography-Mass Spectrometry
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    Chapter 16 Glycomics-Assisted Glycoproteomics Enables Deep and Unbiased N-Glycoproteome Profiling of Complex Biological Specimens
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    Chapter 17 The Small-Protein Enrichment Assay (SPEA) for Analysis of Low Abundance Peptide Hormones in Plasma
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    Chapter 18 In-Depth Proteomic Analysis of Blood Circulating Small Extracellular Vesicles
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    Chapter 19 Protocol for Plasma Extracellular Vesicle and Particle Isolation and Mass Spectrometry-Based Proteomic Identification
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    Chapter 20 Analysis of Extracellular Vesicle and Contaminant Markers in Blood Derivatives Using Multiple Reaction Monitoring
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    Chapter 21 Generation of Red Blood Cell Nanovesicles as a Delivery Tool
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    Chapter 22 Progress in Targeted Mass Spectrometry (Parallel Accumulation-Serial Fragmentation) and Its Application in Plasma/Serum Proteomics
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    Chapter 23 Offline Peptide Fractionation and Parallel Reaction Monitoring MS for the Quantitation of Low-Abundance Plasma Proteins
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    Chapter 24 Profiling Serum Intact N-Glycopeptides Using Data-Independent Acquisition Mass Spectrometry
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    Chapter 25 Semi-Automated Lectin Magnetic Bead Array (LeMBA) for Translational Serum Glycoprotein Biomarker Discovery and Validation
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    Chapter 26 Accessing Antibody Reactivities in Serum or Plasma to (Auto-)antigens Using Multiplexed Bead-Based Protein Immunoassays
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    Chapter 27 Absolute Quantitative Targeted Proteomics Assays for Plasma Proteins
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    Chapter 28 Rapid and Quantitative Enrichment of Peptides from Plasma for Mass Spectrometric Analysis
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    Chapter 29 Comprehensive Targeted Lipidomic Profiling for Research and Clinical Applications
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    Chapter 30 Multiplexed Bead-Based Peptide Immunoassays for the Detection of Antibody Reactivities
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    Chapter 31 Array-Based Multiplex and High-Throughput Serology Assays
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    Chapter 32 Bioinformatics Tools and Knowledgebases to Assist Generating Targeted Assays for Plasma Proteomics
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    Chapter 33 Use of Longitudinal Serum Analysis and Machine Learning to Develop a Classifier for Cancer Early Detection
Attention for Chapter 9: Early Cancer Biomarker Discovery Using DIA-MS Proteomic Analysis of EVs from Peripheral Blood
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Chapter title
Early Cancer Biomarker Discovery Using DIA-MS Proteomic Analysis of EVs from Peripheral Blood
Chapter number 9
Book title
Serum/Plasma Proteomics
Published in
Methods in molecular biology, February 2023
DOI 10.1007/978-1-0716-2978-9_9
Pubmed ID
Book ISBNs
978-1-07-162977-2, 978-1-07-162978-9
Authors

Camila Espejo, Bruce Lyons, Gregory M. Woods, Richard Wilson, Espejo, Camila, Lyons, Bruce, Woods, Gregory M., Wilson, Richard

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 25%
Unspecified 1 25%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Unspecified 1 25%
Immunology and Microbiology 1 25%
Engineering 1 25%
Unknown 1 25%
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 15 February 2023.
All research outputs
#16,492,007
of 24,267,449 outputs
Outputs from Methods in molecular biology
#5,714
of 13,666 outputs
Outputs of similar age
#256,490
of 452,140 outputs
Outputs of similar age from Methods in molecular biology
#233
of 589 outputs
Altmetric has tracked 24,267,449 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,666 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 589 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.