≥98% for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
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Storage & shipping
Store at -20°C Ships Ice chest + Ice pads Check lot-specific COA for exact specifications.
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Quality documents
SDS, COA, datasheet, and spec sheet available for download. Lot-specific COA accessible via lot number lookup.
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Literature proof
Cited in 0 peer-reviewed publications across chromatography, organic synthesis, and cross-coupling reactions.
Overview
Thailanstatin A is an ultra-potent inhibitor of eukaryotic RNA splicing ( IC 50 =650 nM). Thailanstatin A exerts effects via non-covalent binding to the SF3b subunit of the U2 snRNA subcomplex of the spliceosome and shows low-nM to sub-nM IC 50 s against multiple cancer cell lines. Thailanstatin A, a payload for ADCs, is conjugated to the lysines on trastuzumab yielding “linker-less” ADC .
In Vitro
Thailanstatin A (TST-A) is a potent antiproliferative natural product, can be discovered from Burkholderia thailandensis MSMB43. ?\nThailanstatin A (DU-145, NCI-H232A, MDA-MB-231 and SKOV-3 cells) exhibits potent antiproliferative activities with GI 50 s in the single nM range (1.11-2.69 nM). MCE has not independently confirmed the accuracy of these methods. They are for reference only.
Form:Solid
Specifications
Specifications & Purity
≥98%
Biochemical and Physiological Mechanisms
Thailanstatin A is an ultra-potent inhibitor of eukaryotic RNA splicing ( IC 50 =650 nM). Thailanstatin A exerts effects via non-covalent binding to the SF3b subunit of the U2 snRNA subcomplex of the spliceosome and shows low-nM to sub-nM IC 50 s against
Storage
Store at -20°C
Shipped In
Ice chest + Ice pads
This product requires cold chain shipping. Ground and other economy services are not available.
This compound belongs to the class of organic compounds known as c-glycosyl compounds. These are glycoside in which a sugar group is bonded through one carbon to another group via a C-glycosidic bond.
External Descriptors
Not available
1. Djoumbou Feunang Y, Eisner R, Knox C, Chepelev L, Hastings J, Owen G, Fahy E, Steinbeck C, Subramanian S, Bolton E, Greiner R, and Wishart DS. ClassyFire: Automated Chemical Classification With A Comprehensive, Computable Taxonomy. Journal of Cheminformatics, 2016, 8:61.
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