Precision Medicine has entered clinical practice with the premise of changing the one-size-fits-all model with stratified diagnosis and therapies matching an individuals’ characteristics. A key part of this process is understanding all relevant systems that contribute to an individual’s phenotype; genetic, epigenetic, transcriptional, metabolic, and proteomics. Increasing availability of Genome Sequencing is a major step towards understanding differences between individuals. However, genome provides only one piece of the puzzle. Genetics alone cannot explain the diversity of protein expression patterns, modifications or protein interactions following translation. Furthermore, protein expression is dynamic, correlates with disease timing, severity, and response to therapy. The proteome of a given tissue will not be the same during infection as it was prior to infection or during recovery and is therefore very informative for tailoring individual diagnostics and therapy.
Therefore, studying the proteome of individuals resolved at spatial and temporal scales and incorporating it with genetic data has become an important step in realizing Precision Medicine.
Quantitative proteomics is emerging as a research field contributing to the precision medicine by identifying biomarkers and unravelling the underlying biological mechanisms by filling in the gaps towards medical applications. Currently, the implementations of quantitative proteomics in the clinical setting is limited. The goal of this research topic is to bring together researchers and application areas of quantitative proteomics in Precision Medicine highlighting shared technologies, methodologies and its value in precision medicine overall.
Manuscripts using quantitative proteomics data for precision medicine including : i) reporting integration of these data with other levels of information from diseases or ii) methods developed for quantitative proteomics data analysis or iii) papers focusing on identifying candidate biomarkers. Topics of interest include, but are not limited to:
• Identification of clinical biomarkers
• Therapeutics (drug efficacy, therapy targets)
• Peptidome quantification (native, naturally present)
• Spatially resolved proteomics
• Advances in un-targeted and targeted quantitation
• Methodological challenges in biological fluid, tissue, cells, sub-proteomes
• Novel algorithms & bioinformatic methods
• Quantitation of post-translational modifications
• Quantitative proteomics in combination with genomics and metabolomics
• Validation and standardization
Precision Medicine has entered clinical practice with the premise of changing the one-size-fits-all model with stratified diagnosis and therapies matching an individuals’ characteristics. A key part of this process is understanding all relevant systems that contribute to an individual’s phenotype; genetic, epigenetic, transcriptional, metabolic, and proteomics. Increasing availability of Genome Sequencing is a major step towards understanding differences between individuals. However, genome provides only one piece of the puzzle. Genetics alone cannot explain the diversity of protein expression patterns, modifications or protein interactions following translation. Furthermore, protein expression is dynamic, correlates with disease timing, severity, and response to therapy. The proteome of a given tissue will not be the same during infection as it was prior to infection or during recovery and is therefore very informative for tailoring individual diagnostics and therapy.
Therefore, studying the proteome of individuals resolved at spatial and temporal scales and incorporating it with genetic data has become an important step in realizing Precision Medicine.
Quantitative proteomics is emerging as a research field contributing to the precision medicine by identifying biomarkers and unravelling the underlying biological mechanisms by filling in the gaps towards medical applications. Currently, the implementations of quantitative proteomics in the clinical setting is limited. The goal of this research topic is to bring together researchers and application areas of quantitative proteomics in Precision Medicine highlighting shared technologies, methodologies and its value in precision medicine overall.
Manuscripts using quantitative proteomics data for precision medicine including : i) reporting integration of these data with other levels of information from diseases or ii) methods developed for quantitative proteomics data analysis or iii) papers focusing on identifying candidate biomarkers. Topics of interest include, but are not limited to:
• Identification of clinical biomarkers
• Therapeutics (drug efficacy, therapy targets)
• Peptidome quantification (native, naturally present)
• Spatially resolved proteomics
• Advances in un-targeted and targeted quantitation
• Methodological challenges in biological fluid, tissue, cells, sub-proteomes
• Novel algorithms & bioinformatic methods
• Quantitation of post-translational modifications
• Quantitative proteomics in combination with genomics and metabolomics
• Validation and standardization
