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Peptidomics

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Cover of 'Peptidomics'

Table of Contents

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    Book Overview
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    Chapter 1 Origins, Technological Development, and Applications of Peptidomics
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    Chapter 2 Brain Tissue Sample Stabilization and Extraction Strategies for Neuropeptidomics
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    Chapter 3 Isolation of Endogenous Peptides from Cultured Cell Conditioned Media for Mass Spectrometry
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    Chapter 4 Mass Spectrometric Identification of Endogenous Peptides
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    Chapter 5 Bioinformatics for Prohormone and Neuropeptide Discovery
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    Chapter 6 Substrate Capture Assay Using Inactive Oligopeptidases to Identify Novel Peptides
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    Chapter 7 Non-targeted Identification of d-Amino Acid-Containing Peptides Through Enzymatic Screening, Chiral Amino Acid Analysis, and LC-MS
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    Chapter 8 Quantitative Peptidomics: General Considerations
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    Chapter 9 Quantitative Peptidomics with Isotopic and Isobaric Tags
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    Chapter 10 Quantitative Peptidomics Using Reductive Methylation of Amines
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    Chapter 11 Metabolic Labeling to Quantify Drosophila Neuropeptides and Peptide Hormones
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    Chapter 12 Data Preprocessing, Visualization, and Statistical Analyses of Nontargeted Peptidomics Data from MALDI-MS
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    Chapter 13 Affinity Purification of Neuropeptide Precursors from Mice Lacking Carboxypeptidase E Activity
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    Chapter 14 Mass Spectrometry Based Immunopeptidomics for the Discovery of Cancer Neoantigens
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    Chapter 15 Milk Peptidomics to Identify Functional Peptides and for Quality Control of Dairy Products
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    Chapter 16 Neuropeptidomic Analysis of Zebrafish Brain
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    Chapter 17 Identification, Quantitation, and Imaging of the Crustacean Peptidome
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    Chapter 18 Identification of Endogenous Neuropeptides in the Nematode C. elegans Using Mass Spectrometry
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    Chapter 19 EndoProteoFASP as a Tool to Unveil the Peptidome-Protease Profile: Application to Salivary Diagnostics
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    Chapter 20 Methodology for Urine Peptidome Analysis Based on Nano-HPLC Coupled to Fourier Transform Ion Cyclotron Resonance Mass Spectrometry
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    Chapter 21 Identification of Components in Frog Skin Secretions with Therapeutic Potential as Antidiabetic Agents
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    Chapter 22 High-Accuracy Mass Spectrometry Based Screening Method for the Discovery of Cysteine Containing Peptides in Animal Venoms and Toxins
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    Chapter 23 Analysis of the Snake Venom Peptidome
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    Chapter 24 Identification of Peptides in Spider Venom Using Mass Spectrometry
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    Chapter 25 Single Cell Peptidomics: Approach for Peptide Identification by N-Terminal Peptide Derivatization
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    Chapter 26 Peptidomic Identification of Cysteine-Rich Peptides from Plants
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    Chapter 27 Analysis of Endogenous Peptide Pools of Physcomitrella patens Moss
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    Chapter 28 The Bright Future of Peptidomics
Attention for Chapter 7: Non-targeted Identification of d-Amino Acid-Containing Peptides Through Enzymatic Screening, Chiral Amino Acid Analysis, and LC-MS
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Chapter title
Non-targeted Identification of d-Amino Acid-Containing Peptides Through Enzymatic Screening, Chiral Amino Acid Analysis, and LC-MS
Chapter number 7
Book title
Peptidomics
Published by
Humana Press, New York, NY, February 2018
DOI 10.1007/978-1-4939-7537-2_7
Pubmed ID
Book ISBNs
978-1-4939-7536-5, 978-1-4939-7537-2
Authors

Hua-Chia Tai, James W. Checco, Jonathan V. Sweedler

Abstract

D-Amino acid-containing peptides (DAACPs) in animals are a class of bioactive molecules formed via the posttranslational modification of peptides consisting of all-L-amino acid residues. Amino acid residue isomerization greatly impacts the function of the resulting DAACP. However, because isomerization does not change the peptide's mass, this modification is difficult to detect by most mass spectrometry-based peptidomic approaches. Here we describe a method for the identification of DAACPs that can be used to systematically survey peptides extracted from a tissue sample in a non-targeted manner.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Student > Doctoral Student 1 11%
Professor 1 11%
Student > Ph. D. Student 1 11%
Researcher 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Chemistry 3 33%
Biochemistry, Genetics and Molecular Biology 2 22%
Environmental Science 1 11%
Unknown 3 33%