Numerous advances in protein mass spectrometry technology over the past decade as well as improvements to sample preparation methods have revolutionized the scope of questions that can be answered at the protein level. These advances include but are not limited to 1) development and widespread availability of very high-resolution mass spectrometers, 2) improvements in enrichment technologies for a variety of post-translational modifications, 3) the widespread implementation of quantitative proteomic methods, and 4) the development of myriad functional proteomic methods that progress beyond simple identification of proteins. These new approaches have also led to an explosion of quantitative and qualitative plant proteomic data spanning a wide range of plant species.
The goals of this Research Topic are to 1) provide a comprehensive overview of these advances in proteomic methodologies, 2) highlight databases and computational tools that are devoted to interpreting proteomics data, and 3) provide suggested best practices for the implementation of advanced proteomic technologies in the study of plant biology. We are particularly interested in contributions that highlight the utility of quantitative proteomic methods, functional proteomic methods (i.e. proximity labeling, complexomics, etc.), recent databases or computational tools for the analysis or meta-analysis of proteomic datasets, and contributions that provide critical commentary on best practices for the implementation of these technologies in plant biology.
This Research Topic welcomes contributions on the following themes:
- Quantitative methods (isobaric or isotopic quantification methods, MRM or DIA methods);
- Methodology advances (proximity labeling, structural mass spectrometry, complexomics);
- Post-translational modification analysis;
- Databases or computational tools for the analysis or meta-analysis of proteomic datasets;
- Best practices in the implementation of advanced proteomic methods.
Numerous advances in protein mass spectrometry technology over the past decade as well as improvements to sample preparation methods have revolutionized the scope of questions that can be answered at the protein level. These advances include but are not limited to 1) development and widespread availability of very high-resolution mass spectrometers, 2) improvements in enrichment technologies for a variety of post-translational modifications, 3) the widespread implementation of quantitative proteomic methods, and 4) the development of myriad functional proteomic methods that progress beyond simple identification of proteins. These new approaches have also led to an explosion of quantitative and qualitative plant proteomic data spanning a wide range of plant species.
The goals of this Research Topic are to 1) provide a comprehensive overview of these advances in proteomic methodologies, 2) highlight databases and computational tools that are devoted to interpreting proteomics data, and 3) provide suggested best practices for the implementation of advanced proteomic technologies in the study of plant biology. We are particularly interested in contributions that highlight the utility of quantitative proteomic methods, functional proteomic methods (i.e. proximity labeling, complexomics, etc.), recent databases or computational tools for the analysis or meta-analysis of proteomic datasets, and contributions that provide critical commentary on best practices for the implementation of these technologies in plant biology.
This Research Topic welcomes contributions on the following themes:
- Quantitative methods (isobaric or isotopic quantification methods, MRM or DIA methods);
- Methodology advances (proximity labeling, structural mass spectrometry, complexomics);
- Post-translational modification analysis;
- Databases or computational tools for the analysis or meta-analysis of proteomic datasets;
- Best practices in the implementation of advanced proteomic methods.
