| Literature DB >> 32223208 |
Tanja Grkovic1, Rhone K Akee1, Christopher C Thornburg1, Spencer K Trinh1, John R Britt1, Matthew J Harris1, Jason R Evans2, Unwoo Kang3, Susan Ensel4, Curtis J Henrich3,5, Kirk R Gustafson3, Joel P Schneider6, Barry R O'Keefe2,3.
Abstract
An automated, high-capacity, and high-throughput procedure for the rapid isolation and identification of biologically active natural products from a prefractionated library is presented. The semipreparative HPLC method uses 1 mg of the primary hit fraction and produces 22 subfractions in an assay-ready format. Following screening, all active fractions are analyzed by NMR, LCMS, and FTIR, and the active principle structural classes are elucidated. In the proof-of-concept study, we show the processes involved in generating the subfractions, the throughput of the structural elucidation work, as well as the ability to rapidly isolate and identify new and biologically active natural products. Overall, the rapid second-stage purification conserves extract mass, requires much less chemist time, and introduces knowledge of structure early in the isolation workflow.Entities:
Mesh:
Substances:
Year: 2020 PMID: 32223208 PMCID: PMC7171602 DOI: 10.1021/acschembio.0c00139
Source DB: PubMed Journal: ACS Chem Biol ISSN: 1554-8929 Impact factor: 5.100
Figure 1Summary of second-stage chromatography method used for the rapid, high-throughput isolation of natural products. Example depicts a representative HPLC run with fraction collection events and duty cycle analysis of a typical injection cycle shown. The gradient, represented as percentage acetonitrile, is shown in pink as well as UV absorbance traces at 254 nm (in blue), 280 nm (in green), and 320 nm (in orange).
Figure 2HTS workflow summary. (A) Prefractionation and NCI-60 activity results. Rows in the table represent the 32 active extracts that were prefractionated, and columns represent 7 fractions. Green rectangles represent active fractions that had at least 3 cell lines reach LC50 at 10 μg/mL. (B) Second stage HPLC results. Rows in the table represent the 34 active fractions that were taken through the second-stage HPLC, and columns represent 22 subfractions. Green rectangles represent active subfractions that had at least 3 cell lines reach LC50.
Figure 3Summary of screening results and spectral fingerprints of active subfraction for Auletta sp. C1065 extract. Crucial structural features on the 8-isocyano-15-formamido-11(20)-amphilectene molecule are highlighted with spectral features used to assign the structure.
Figure 4NCI-60 screening and scale-up summary for Haliclona chrysa extract. Fractions and subfractions that displayed significant NCI-60 activity are depicted in green. The 1H NMR spectra were acquired on a 600 MHz NMR spectrometer in DMSO-d.
NCI-60 Activity of the Active Principles of C17747 Haliclona chrysa Extract (2) and C15373 Hexabranchus sanguineus Extract (5–9)a
| compound | GI50 (μM) | yield of crude (%) | yield of subfraction (%) |
|---|---|---|---|
| 6.76 | 3.7 | 100 | |
| 6.76 | 0.12 | 23.33 | |
| 4.37 | 0.21 | 19.35 | |
| 0.40 | 0.09 | 17.78 | |
| 0.18 | 0.15 | 12.90 | |
| 0.03 | 0.017 | 1.67 |
GI50 is the concentration of the drug that causes 50% growth inhibition and values represent the average calculated across all 60 cell lines. Reported yields were calculated based on the recovery of the isolated compound from the two-step scale-up procedure.
Figure 5NCI-60 screening and active principle identification summary for subfraction H. sanguineus extract. The active subfraction M15373_6_15 spectrum is compared to that of the two compounds isolated from this subfraction, namely (−)-coelodiol (5) and 33-methyltetrahydrohalichondramide (7). Resonances belonging to each of the two pure compounds 5 in red and 7 in blue are marked on the spectra of the subfraction mixture.