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Peptidomics

Overview of attention for book
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 4: Mass Spectrometric Identification of Endogenous Peptides
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Chapter title
Mass Spectrometric Identification of Endogenous Peptides
Chapter number 4
Book title
Peptidomics
Published by
Springer New York, February 2018
DOI 10.1007/978-1-4939-7537-2_4
Pubmed ID
29476504
Book ISBNs
978-1-4939-7536-5, 978-1-4939-7537-2
Authors

Mikel Azkargorta, Iraide Escobes, Ibon Iloro, Felix Elortza

Abstract

Peptidomics is an emerging field focused in the analysis of endogenous peptides. Naturally occurring peptides are often endogenously produced protein fragments. Cleavage of precursor proteins by proteases generates peptides that may gain specialized functions not ascribed to their precursors, and which could reflect the state of a cell under certain physiological conditions or pathological processes.Since peptides are found in complex matrices (e.g., serum, tear, urine, cerebrospinal fluid), they need to be isolated from the matrix and concentrated before they can be analyzed on mass spectrometry. This chapter describes methods for sample preparation prior to mass spectrometry analysis. In addition, different peptide fragmentation techniques are described which are complementary when analyzing naturally occurring peptides by liquid chromatography coupled online to tandem mass spectrometry.

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Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 20%
Other 3 15%
Researcher 3 15%
Student > Ph. D. Student 3 15%
Professor > Associate Professor 2 10%
Other 3 15%
Unknown 2 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 30%
Computer Science 3 15%
Agricultural and Biological Sciences 2 10%
Unspecified 1 5%
Nursing and Health Professions 1 5%
Other 4 20%
Unknown 3 15%

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