Metabolic labeling of glycerophospholipids via clickable analogs derivatized at the lipid headgroup
| Autor: | Michael D. Best, Tanei J. Ricks, Christelle F. Ancajas |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
chemistry.chemical_classification
0303 health sciences Staining and Labeling Biomolecule 030303 biophysics Organic Chemistry Lipid metabolism Glycerophospholipids Cell Biology Computational biology Biochemistry Article 03 medical and health sciences Metabolic pathway chemistry Metabolic labeling Lipid biosynthesis Humans Click Chemistry lipids (amino acids peptides and proteins) Clickable Bioorthogonal chemistry Molecular Biology 030304 developmental biology |
| Zdroj: | Chem Phys Lipids |
| ISSN: | 0009-3084 |
| DOI: | 10.1016/j.chemphyslip.2020.104971 |
| Popis: | Metabolic labeling, in which substrate analogs containing diminutive tags can infiltrate biosynthetic pathways and generate labeled products in cells, has led to dramatic advancements in the means by which complex biomolecules can be detected and biological processes can be elucidated. Within this realm, metabolic labeling of lipid products, particularly in a manner that is headgroup-specific, brings about a number of technical challenges including the complexity of lipid metabolic pathways as well as the simplicity of biosynthetic precursors to headgroup functionality. As such, only a handful of strategies for metabolic labeling of lipids have thus far been reported. However, these approaches provide enticing examples of how strategic modifications to substrate structures, particularly by introducing clickable moieties, can enable the hijacking of lipid biosynthesis. Furthermore, early work in this field has led to an explosion in diverse applications by which these techniques have been exploited to answer key biological questions or detect and track various lipid-containing biological entities. In this article, we review these efforts and emphasize recent advancements in the development and application of lipid metabolic labeling strategies. |
| Databáze: | OpenAIRE |
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