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SELDI-TOF Mass Spectrometry

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Cover of 'SELDI-TOF Mass Spectrometry'

Table of Contents

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    Book Overview
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    Chapter 1 Optimized Conditions for a Quantitative SELDI TOF MS Protein Assay
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    Chapter 2 Solid-Phase Fractionation Strategies Applied to Proteomics Investigations
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    Chapter 3 Data Processing and Analysis Using ProteinChip ® Data Manager Software
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    Chapter 4 Purification and Identification of Candidate Biomarkers Discovered Using SELDI-TOF MS
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    Chapter 5 Biomarker Discovery in Serum/Plasma Using Surface Enhanced Laser Desorption Ionization Time of Flight (SELDI–TOF) Mass Spectrometry
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    Chapter 6 Plasma proteomic profiling of pediatric osteosarcoma.
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    Chapter 7 Profiling of Urine Using ProteinChip ® Technology
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    Chapter 8 Protein Profiling of Cerebrospinal Fluid
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    Chapter 9 SELDI-TOF Mass Spectrometry-Based Protein Profiling of Tissue Samples for Toxicological Studies
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    Chapter 10 Proteomic Analysis of Skeletal Muscle Tissue Using SELDI-TOF MS: Application to Disuse Atrophy.
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    Chapter 11 Profiling Cervical Lavage Fluid by SELDI-TOF Mass Spectrometry
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    Chapter 12 Isolation and Proteomic Analysis of Platelets by SELDI-TOF MS
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    Chapter 13 Using SELDI-TOF Mass Spectrometry on Amniotic Fluid and for Clinical Proteomics and Theranostics in Disorders of Pregnancy
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    Chapter 14 High Throughput Profiling of Serum Phosphoproteins/Peptides Using the SELDI-TOF-MS Platform.
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    Chapter 15 Analysis of Protein-Protein Interaction Using ProteinChip Array-Based SELDI-TOF Mass Spectrometry.
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    Chapter 16 Quantitation of Amyloid Beta Peptides in CSF by Surface Enhanced MALDI-TOF.
Attention for Chapter 6: Plasma proteomic profiling of pediatric osteosarcoma.
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Chapter title
Plasma proteomic profiling of pediatric osteosarcoma.
Chapter number 6
Book title
SELDI-TOF Mass Spectrometry
Published in
Methods in molecular biology, November 2011
DOI 10.1007/978-1-61779-418-6_6
Pubmed ID
Book ISBNs
978-1-61779-417-9, 978-1-61779-418-6
Authors

Li Y, Dang TA, Man TK, Yiting Li, Tu Anh Dang, Tsz-Kwong Man, Li, Yiting, Dang, Tu Anh, Man, Tsz-Kwong

Abstract

The development of a sensitive, specific, and non-invasive approach for cancer detection will facilitate early detection and, hence, improve the outcome of individuals with known cancer predispositions. Proteomic profiling of blood emerges to be a logical choice of such non-invasive or minimal invasive detection. However, plasma biomarker discovery of pediatric cancers lags behind that of adult cancers, suggesting more efforts are needed in this area. In this study, we used surface-enhanced laser desorption/ionization-time of flight mass spectrometry to profile plasma proteome in osteosarcoma patients. Osteosarcoma is a bone cancer that affects many children and young adults. We have shown that the plasma proteome contains a unique cancer signature that can distinguish patients with osteosarcoma from those with a benign bone disease. To improve cancer biomarker discovery in plasma, we have also shown that depletion of two highly abundant plasma proteins increases the detection sensitivity of lower-abundance proteins. The combination of depletion and proteomic profiling may increase the chance of identifying tumor-derived proteins within the plasma of pediatric cancer patients.

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

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Master 2 15%
Student > Bachelor 2 15%
Unspecified 1 8%
Other 1 8%
Other 2 15%
Unknown 2 15%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Unspecified 1 8%
Immunology and Microbiology 1 8%
Other 3 23%
Unknown 2 15%
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 22 April 2013.
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#18,336,865
of 22,707,247 outputs
Outputs from Methods in molecular biology
#7,850
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Outputs of similar age
#195,176
of 238,960 outputs
Outputs of similar age from Methods in molecular biology
#304
of 442 outputs
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