Automated Author Profile

Augustin, Megan M.

Donald Danforth Plant Science Center

Current S-Index

1.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.2

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

76.9%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data from: Elucidating steroid alkaloid biosynthesis in Veratrum californicum: production of verazine in Sf9 cells (Version: 1)

Steroid alkaloids have been shown to elicit a wide range of pharmacological effects that include anticancer and antifungal activities. Understanding the biosynthesis of these molecules is essential to bioengineering for sustainable production. Herein, we investigate the biosynthetic pathway to cyclopamine, a steroid alkaloid that shows promising antineoplastic activities. Supply of cyclopamine is limited, as the current source is solely derived from wild collection of the plant Veratrum californicum. To elucidate the early stages of the pathway to cyclopamine, we interrogated a V. californicum RNA-seq dataset using the cyclopamine accumulation profile as a predefined model for gene expression with the pattern-matching algorithm Haystack. Refactoring candidate genes in Sf9 insect cells led to discovery of four enzymes that catalyze the first six steps in steroid alkaloid biosynthesis to produce verazine, a predicted precursor to cyclopamine. Three of the enzymes are cytochromes P450 while the fourth is a γ-aminobutyrate transaminase; together they produce verazine from cholesterol.

Authors

  • Augustin, Megan M. ;
  • Ruzicka, Dan R. ;
  • Shukla, Ashutosh K. ;
  • Starks, Courtney M. ;
  • O'Neil-Johnson, Mark ;
  • McKain, Michael R. ;
  • Evans, Bradley S. ;
  • Barrett, Matthew D. ;
  • Smithson, Ann ;
  • Wong, Gane Ka-Shu ;
  • Deyholos, Michael K. ;
  • Edger, Patrick P. ;
  • Pires, J. Chris ;
  • Leebens-Mack, James H. ;
  • Mann, Dave A. ;
  • Kutchan, Toni M. ;
  • Barrett, Matt D.
1 Citation0 Mentions77% FAIR1.2 Dataset Index
10.5061/dryad.n9s7qApril 2016