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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 10: Proteomic Analysis of Skeletal Muscle Tissue Using SELDI-TOF MS: Application to Disuse Atrophy.
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Chapter title
Proteomic Analysis of Skeletal Muscle Tissue Using SELDI-TOF MS: Application to Disuse Atrophy.
Chapter number 10
Book title
SELDI-TOF Mass Spectrometry
Published in
Methods in molecular biology, November 2011
DOI 10.1007/978-1-61779-418-6_10
Pubmed ID
Book ISBNs
978-1-61779-417-9, 978-1-61779-418-6
Authors

Clarke MS, Mark S. F. Clarke, Clarke, Mark S. F.

Abstract

Skeletal muscle atrophy in response to disuse/unloading is a complex adaptation that involves many components of the muscle tissue. The underlying mechanisms that initiate and control the loss of muscle tissue during this response, especially contractile proteins located within the myofibers, are as yet unclear. One approach capable of distinguishing protein changes specifically associated with disuse/unloading-induced skeletal muscle atrophy is to compare the proteomic profiles of similar muscles between control, unloaded/atrophied, and unloaded/"atrophy-protected" experimental conditions. By utilizing a subtractive proteomic analysis approach, those proteins specifically modulated during the atrophic response can be identified and discriminated from those associated with disuse in general. We here describe the use of SELDI-TOF MS coupled with micro-scale preparative ion-exchange chromatography to detect proteins potentially specifically associated with the atrophic response in rat skeletal muscle.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Librarian 1 14%
Professor 1 14%
Researcher 1 14%
Student > Ph. D. Student 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Nursing and Health Professions 2 29%
Agricultural and Biological Sciences 2 29%
Biochemistry, Genetics and Molecular Biology 1 14%
Physics and Astronomy 1 14%
Unknown 1 14%
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 14 March 2012.
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#20,156,138
of 22,663,969 outputs
Outputs from Methods in molecular biology
#9,803
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Outputs of similar age
#217,253
of 238,860 outputs
Outputs of similar age from Methods in molecular biology
#397
of 441 outputs
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