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SELDI-TOF Mass Spectrometry

Overview of attention for book
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 16: Quantitation of Amyloid Beta Peptides in CSF by Surface Enhanced MALDI-TOF.
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Chapter title
Quantitation of Amyloid Beta Peptides in CSF by Surface Enhanced MALDI-TOF.
Chapter number 16
Book title
SELDI-TOF Mass Spectrometry
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-418-6_16
Pubmed ID
Book ISBNs
978-1-61779-417-9, 978-1-61779-418-6
Authors

Eddie Takahashi, Anita Howe, Ole Vesterqvist, Zhaosheng Lin, Takahashi, Eddie, Howe, Anita, Vesterqvist, Ole, Lin, Zhaosheng

Abstract

Alzheimer's disease is characterized by the deposition of amyloid plaques in the brain. The major components of these plaques are β-amyloid (Aβ) peptides. The CSF concentration of these peptides can therefore provide a valuable biomarker for potentially predicting the state of disease and/or monitoring the efficacy of a drug aiming to inhibit the formation of amyloid plaques. Although the concentration of a given peptide in CSF can easily be measured by ELISA methods, few methods are able to simultaneously observe and distinguish between various peptides of similar yet slightly different amino acid composition. The Surface Enhanced Laser Desorption/Ionization-Time Of Flight mass spectrometry (SELDI-TOF) technology, a platform combining the use of an antibody and MALDI-TOF, can be used to simultaneously detect and quantitate various Aβ peptides with sensitivities in the picomolar range.

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Ph. D. Student 1 20%
Lecturer 1 20%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 40%
Veterinary Science and Veterinary Medicine 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Medicine and Dentistry 1 20%
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 24 December 2011.
All research outputs
#15,239,825
of 22,659,164 outputs
Outputs from Methods in molecular biology
#5,279
of 13,015 outputs
Outputs of similar age
#163,118
of 244,041 outputs
Outputs of similar age from Methods in molecular biology
#263
of 473 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,015 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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