Neuroproteomics /
| Corporate Author: | |
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| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Totowa, NJ :
Humana Press : Imprint: Humana,
2011.
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| Edition: | 1st ed. 2011. |
| Series: | Neuromethods,
57 |
| Subjects: |
Table of Contents:
- Neuroproteomics: Deciphering Brain Function and Disorders
- Dissection of Rodent Brain Regions
- Subcellular Fractionation of Brain Tissue Using Free Flow Electrophoresis
- Isolation of Synapse Sub-Domains by Subcellular Fractionation Using Sucrose Density Gradient Centrifugation
- Enrichment of Plasma Membranes from Small Brain Samples by Aqueous Polymer Two-Phase Systems
- Identification and Characterization of Protein Complexes from Total Brain and Synaptoneurosomes: Heterogeneity of Molecular Complexes in Distinct Subcellular Domains
- Analysis of Protein Complexes by 2D Blue Native/SDS-PAGE and Antibody-Shift Assay
- 2-Dimensional Gel Electrophoresis-Based Proteomic Analysis of Brain Synapses
- 2-Dimensional BAC-SDS Polyacrylamide Gel Electrophoresis for the Fractionation and Identification of Synaptic Vesicle Proteins and the Presynaptic Active Zone
- iTRAQ-Based LC-LC MALDI TOF/TOF MS Quantitative Analysis of Membrane Proteins from Human Glioma
- OFFGEL-Isoelectric Focusing Fractionation for the Analysis of Complex Proteome
- A 1D-PAGE/LC-ESI Linear Ion Trap Orbitrap MS Approach for the Analysis of Synapse Proteomes and Synaptic Protein Complexes
- SDS-PAGE Immuno-Blot Analysis
- Phosphoproteomics by Highly Selective IMAC Protocol
- Global Analysis of Ubiquitination
- High-Throughput High-Content Functional Image Analysis of Neuronal Proteins Implicated in Parkinson's Disease
- Neuropeptidomics of the Mammalian Brain
- In-Depth Analysis of the Cerebrospinal Fluid Proteome and Biomarker Discovery: Abundant Protein Depletion Sample Pretreatment Method
- Lipidomics of the Nervous System: Phospholipidomics by Liquid Chromatography Coupled to Mass Spectrometry or Tandem Mass Spectrometry
- Bioinformatics Procedures for Analysis of Quantitative Proteomics Experiments Using iTRAQ
- Statistical Analysis of Spectral Count Data Generated by Label-Free Tandem Mass Spectrometry-Based Proteomics.