Metabolic Profiling of Biofluids and Tissues Using Multiplatform Approaches
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Metabolomic Profiling Technology".
Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 3589
Special Issue Editor
Special Issue Information
Dear Colleagues,
Over recent years, there have been extensive method developments to analyze the metabolomes of various biofluids and tissues. However, given the high diversity of metabolites present over a wide concentration range in biological samples, one of the analytical challenges is to ideally cover the entire metabolic space (metabolome) using complementary techniques and methods. However, this multiplatform strategy is time and cost consuming and therefore needs to be optimized to recover the largest possible amount of chemical information, relevant to the biological context, in a reasonable timeframe, to be compatible with large-scale studies. In addition, such a multiplatform strategy generates complex and massive data that will need dedicated management and workflows for data treatments.
This Special Issue of Metabolites, “Metabolic Profiling of Biofluids and Tissues Using Multiplatform Approaches”, will first be dedicated to cutting-edge methods and technology developments for multiplatform metabolomics/lipidomics approaches both from a fundamental as well as an applied point of view. Second, it will address the question of data treatment and fusion for such a strategy. The topics that will be more particularly covered by this Special Issue include (though not exclusively) sample preparation dedicated to multiplatform approaches, choice of technologies and methods for multiplatform profiling and annotation, high-throughput, standardization and quality control, data extraction and treatments, data management, data fusion and integration, and analytical redundancy management.
Manuscripts dealing with other challenging issues are also highly relevant.
Dr. Estelle Pujos-Guillot
Guest Editor
Manuscript Submission Information
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Keywords
- metabolomics
- lipidomics
- multiplatform approach
- profiling
- annotation
- standardization
- quality control
- data management
- data fusion
- data integration
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