Peptidomics Methods and Strategies

Origins, Technological Advancement, and Applications of Peptidomics.- Two Different Strategies for Stabilization of Brain Tissue and Extraction of Neuropeptides.- Mass Spectrometric De Novo Sequencing of Natural Peptides.- Data-Independent Acquisition Peptidomics.- Quantitative Peptidomics: General Considerations.- Quantitative Peptidomics Using Reductive Methylation of Amines.- Label-Free Quantitation of Endogenous Peptides.- Bioinformatics for Prohormone and Neuropeptide Discovery.- Integrating a Multi-Label Deep Learning Approach with Protein Information to Compare Bioactive Peptides in Brain and Plasma.- Methods for Intracellular Peptidomic Analysis.- Neuropeptidomics of Genetically Defined Cell Types in Mouse Brain.- Non-Targeted Identification of d-Amino Acid-Containing Peptides through Enzymatic Screening, Chiral Amino Acid Analysis, and LC-MS.- Albumen and Yolk Plasma Peptidomics for the Identification and Quantitation of Bioactive Molecules and the Quality Control ofHen Egg Products.- An Updated Guide to the Identification, Quantitation, and Imaging of the Crustacean Neuropeptidome.- Strategy for the Identification of Host-Defense Peptides in Frog Skin Secretions with Therapeutic Potential as Antidiabetic Agents.- Peptidomics of Zebrafish Brain in a 6-OHDA-Induced Neurodegeneration Model.- Analysis of the Snake Venom Peptidome.- Identification of Peptides in Spider Venom Using Mass Spectrometry.- Identification and Targeted Quantification of Endogenous Neuropeptides in the Nematode Caenorhabditis elegans Using Mass Spectrometry.- Intracellular and Extracellular Peptidomes of the Model Plant, Physcomitrium patens.- The Strategy for Peptidomic LC-MS/MS Data Analysis: The Case of Urinary Peptidome Study.- Peptidomics Strategies to Evaluate Cancer Diagnosis, Prognosis, and Treatment.- Mass Spectrometry-Based Immunopeptidomics of Peptides Presented on Human Leukocyte Antigen Proteins.- Profiling Human Cerebrospinal Fluid (CSF) EndogenousPeptidome in Alzheimer's Disease.- Deep Learning-Assisted Analysis of Immunopeptidomics Data.- Current Challenges and Future Directions in Peptidomics.