FRET-based genetically-encoded sensors for quantitative monitoring of metabolites
Biotechnology Letters, ISSN: 1573-6776, Vol: 37, Issue: 10, Page: 1919-1928
2015
- 29Citations
- 81Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations29
- Citation Indexes29
- 29
- CrossRef20
- Captures81
- Readers81
- 81
Review Description
Neighboring cells in the same tissue can exist in different states of dynamic activities. After genomics, proteomics and metabolomics, fluxomics is now equally important for generating accurate quantitative information on the cellular and sub-cellular dynamics of ions and metabolite, which is critical for functional understanding of organisms. Various spectrometry techniques are used for monitoring ions and metabolites, although their temporal and spatial resolutions are limited. Discovery of the fluorescent proteins and their variants has revolutionized cell biology. Therefore, novel tools and methods targeting sub-cellular compartments need to be deployed in specific cells and targeted to sub-cellular compartments in order to quantify the target-molecule dynamics directly. We require tools that can measure cellular activities and protein dynamics with sub-cellular resolution. Biosensors based on fluorescence resonance energy transfer (FRET) are genetically encoded and hence can specifically target sub-cellular organelles by fusion to proteins or targetted sequences. Since last decade, FRET-based genetically encoded sensors for molecules involved in energy production, reactive oxygen species and secondary messengers have helped to unravel key aspects of cellular physiology. This review, describing the design and principles of sensors, presents a database of sensors for different analytes/processes, and illustrate examples of application in quantitative live cell imaging.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84941425042&origin=inward; http://dx.doi.org/10.1007/s10529-015-1873-6; http://www.ncbi.nlm.nih.gov/pubmed/26184603; http://link.springer.com/10.1007/s10529-015-1873-6; https://dx.doi.org/10.1007/s10529-015-1873-6; https://link.springer.com/article/10.1007/s10529-015-1873-6
Springer Science and Business Media LLC
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