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- aggregation classification "A1".
- aggregation creator B403135.
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- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 1954343.bibtex.
- aggregation hasFormat 1954343.csv.
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- aggregation isPartOf urn:issn:0027-8424.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Biology and Life Sciences".
- aggregation title "Clusters of bioactive compounds target dynamic endomembrane networks in vivo".
- aggregation abstract "Endomembrane trafficking relies on the coordination of a highly complex, dynamic network of intracellular vesicles. Understanding the network will require a dissection of cargo and vesicle dynamics at the cellular level in vivo. This is also a key to establishing a link between vesicular networks and their functional roles in development. We used a high-content intracellular screen to discover small molecules targeting endomembrane trafficking in vivo in a complex eukaryote, Arabidopsis thaliana. Tens of thousands of molecules were prescreened and a selected subset was interrogated against a panel of plasma membrane (PM) and other endomembrane compartment markers to identify molecules that altered vesicle trafficking. The extensive image dataset was transformed by a flexible algorithm into a marker-by-phenotype-by-treatment time matrix and revealed groups of molecules that induced similar subcellular fingerprints (clusters). This matrix provides a platform for a systems view of trafficking. Molecules from distinct clusters presented avenues and enabled an entry point to dissect recycling at the PM, vacuolar sorting, and cell-plate maturation. Bioactivity in human cells indicated the value of the approach to identifying small molecules that are active in diverse organisms for biology and drug discovery.".
- aggregation authorList BK714468.
- aggregation endPage "17855".
- aggregation issue "43".
- aggregation startPage "17850".
- aggregation volume "108".
- aggregation aggregates 1954405.
- aggregation isDescribedBy 1954343.
- aggregation similarTo pnas.1108581108.
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