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Farrow, S.

Publications and source records attributed to Farrow, S..

2 recordsLinked to original sources

Biosynthesis of an Anti-Addiction Agent from the Iboga Plant

(-)-Ibogaine and (-)-voacangine are plant derived psychoactives that show promise as effective treatments for opioid addiction. However, these compounds are produced by hard to source plants making these chemicals difficult for broad-scale use. Here we report the complete biosynthesis of (-)-voacangine, and de-esterified voacangine, which is converted to (-)-ibogaine by heating. This discovery will enable production of these compounds by synthetic biology methods. Notably, (-)-ibogaine and (-)-voacangine are of the opposite enantiomeric configuration compared to the other major alkaloids found in this natural product class. Discovery of these biosynthetic enzymes therefore demonstrates how nature generates both enantiomeric series of this medically important alkaloid scaffold using closely related enzymes, including those that catalyze enantioselective formal Diels-Alder reactions.\n\nOne Sentence SummaryBiosynthesis of iboga alkaloids with anti-addiction promise reveals enantioselectivity of enzymatic Diels-Alder reactions.

biochemistry

Variation in PU.1 binding and chromatin looping at neutrophil enhancers influences autoimmune disease susceptibility

Neutrophils play fundamental roles in innate inflammatory response, shape adaptive immunity1, and have been identified as a potentially causal cell type underpinning genetic associations with immune system traits and diseases2,3 The majority of these variants are non-coding and the underlying mechanisms are not fully understood. Here, we profiled the binding of one of the principal myeloid transcriptional regulators, PU.1, in primary neutrophils across nearly a hundred volunteers, and elucidate the coordinated genetic effects of PU.1 binding variation, local chromatin state, promoter-enhancer interactions and gene expression. We show that PU.1 binding and the associated chain of molecular changes underlie genetically-driven differences in cell count and autoimmune disease susceptibility. Our results advance interpretation for genetic loci associated with neutrophil biology and immune disease.

genetics