Nedelkov / Nelson New and Emerging Proteomic Techniques

Erscheinungsjahr 2008
ISBN: 978-1-59745-026-3
Verlag: Humana Press
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 328, 248 Seiten, eBook

Reihe: Methods in Molecular Biology

Leading researchers and innovators describe in step-by-step detail the latest techniques that promise to significantly impact the practice of proteomics, as well as its success in developing novel clinical agents. The methods span the entire spectrum of top-down and bottom-up approaches, including microarrays, gels, chromatography, and affinity separations, and address every aspect of the human proteome, both quantitatively and qualitatively. The techniques of protein detection utilized are diverse and range from fluorescence and resonance light scattering to surface plasmon resonance and mass spectrometry. The protocols follow the successful Methods in Molecular Biology™ series format, each offering step-by-step laboratory instructions, an introduction outlining the principles behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls.

Zielgruppe

Research

Autoren/Hrsg.

Nedelkov, Dobrin

Nelson, Randall W.

Inhaltsverzeichnis

On-Chip Protein Synthesis for Making Microarrays.- RCA-Enhanced Protein Detection Arrays.- Antibody Microarrays Using Resonance Light-Scattering Particles for Detection.- Chemical Proteomics Profiling of Proteasome Activity.- Two-Dimensional Difference Gel Electrophoresis.- Oligomeric States of Proteins Determined by Size-Exclusion Chromatography Coupled With Light Scattering, Absorbance, and Refractive Index Detectors.- Surface Plasmon Resonance Imaging Measurements of Protein Interactions With Biopolymer Microarrays.- Surface Plasmon Resonance Mass Spectrometry for Protein Analysis.- High-Throughput Affinity Mass Spectrometry.- Isotope-Coded Affinity Tags for Protein Quantification.- Proteomic Analysis by Multidimensional Protein Identification Technology.- Isolation of Glycoproteins and Identification of Their N-Linked Glycosylation Sites.- N-Glycosylation Analysis Using the StrOligo Algorithm.- MALDI-MS Data Analysis for Disease Biomarker Discovery.- Using the Global Proteome Machine for Protein Identification.