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Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
Published on: February 9, 2017
Culturing a discerning palette for spatiofunctional profiling
Marcus J C Long1, Xin Liang2, Yimon Aye3
1Department of Pharmacology, University of Oxford, Oxford, OX1 3QT, United Kingdom; Department of Chemistry, University of Oxford, Oxford, OX1 3TA, United Kingdom.
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Recent innovations in proteomics have opened a window into how proteins distribute within cells. However, spatial reconnaissance is often not sufficient to inform on mechanism. Such information also does not inherently suggest how to functionally perturb proteins in specific regions, which is ultimately required for biological studies. We propose a new concept, spatiofunctional profiling that uses (preter)natural metabolites to census proteins that have the proclivity to engage with specific small-molecule ligands in a specific locale. Based on our studies on signaling by reactive (preter)natural metabolites, this strategy will index proteins within a specific locale that are susceptible to chemical manipulation.

