Modern Proteomics – Sample Preparation, Analysis and Practical Applications

This volume serves as a proteomics reference manual, describing experimental design and execution. The book also shows a large number of examples as to what can be achieved using proteomics techniques. As a relatively young area of scientific research, the breadth and depth of the current state of t...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Mirzaei, Hamid (Επιμελητής έκδοσης), Carrasco, Martin (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Advances in Experimental Medicine and Biology, 919
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Sample Origin
  • Sample Preparation for Proteomic Analyses by Mass Spectrometry
  • Plant structure and specificity - challenges and sample preparation considerations for proteomics
  • Protein Fractionation and Enrichment for Proteomics
  • High Performance Liquid Chromatography
  • Mass Analyzers
  • Top-Down Mass Spectrometry: Proteomics to Proteoforms
  • Platforms and pipelines for Proteomics Data Management and Analysis
  • Visualization, inspection and interpretation of shotgun proteomics identification results
  • Tandem mass spectrum sequencing: an alternative to database search engines in shotgun proteomics
  • Protein Inference
  • Modification Site Localization in Peptides
  • Quantification
  • Bioinformatics Tools for the Analysis of Proteomics Data
  • Useful Web Resources
  • Top-Down Mass Spectrometry: Proteomics to Proteoforms
  • Protocol for Standardizing High-to-Moderate Abundance Protein Biomarker Assessments through an MRM-with-Standard-Peptides Quantitative Approach
  • Posttranslational Modifications (PTMs) analysis
  • Protein-Protein Interaction
  • Structural Analysis
  • Introduction to Proteomic-Derived Biomarkers
  • Discovery of Candidate Biomarkers
  • Statistical Approaches to Candidate Biomarker Panel Selection
  • Qualification and Verification of biomarker candidates.