Technological Advancements for High-Throughput Proteome Analysis
A special issue of Biology (ISSN 2079-7737).
Deadline for manuscript submissions: closed (1 June 2021) | Viewed by 349
Special Issue Editor
Special Issue Information
Dear Colleagues,
Over the last three decades, proteomics analysis has undergone a remarkable evolution. Beginning with mass spectrometry-based technologies to rapidly, though confidently identify single proteins at trace levels, protein and peptide sequencing strategies expanded towards generation of more comprehensive profiles of a proteome system. Naturally, with improvements in technology, proteome researchers could address more challenging questions, including the cause or effect correlation of their abundance, modifications, or interactions, on exploring a deeper understanding of the biological system. In attempting to answer these questions, the characterization of complex proteomic systems relies on a continued improved in technology to enable rapid, sensitive, reliable and robust qualitative and quantitative analysis strategies. This topic is devoted to exploring the latest technological advances in high-throughput proteome analysis, with a focus on mass spectrometry together with the associated instruments, devices, and computational approaches that facilitate the proteome analysis workflow. Together with advances in MS instrumentation, strategies that exploit automation in front end sample preparation, separation, their integration with mass spectrometry, data acquisition, and analysis are all welcome. We welcome original articles, perspectives or commentary, and reviews.
Prof. Dr. Alan A. Doucette
Guest Editor
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Keywords
- Sample preparation
- Separation
- Purification
- MS interface
- MS instrumentation
- Data acquisition
- Data analysis
- Top down proteomics
- Bottom up proteomics
- Population studies
- Clinical proteomics
- Biomarkers
- Quantitative analysis
- Statistical analysis
- Post translational modifications
- Protein-protein interaction
- Protein-ligand interactions
- Computations
- Liquid chromatography
- Electrophoresis
- Robotics
- Automation
- Lab-on-a-chip
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