Dataset Information

Screening microbially produced Δ⁹-tetrahydrocannabinol using a yeast biosensor workflow.

ABSTRACT: Microbial production of cannabinoids promises to provide a consistent, cheaper, and more sustainable supply of these important therapeutic molecules. However, scaling production to compete with traditional plant-based sources is challenging. Our ability to make strain variants greatly exceeds our capacity to screen and identify high producers, creating a bottleneck in metabolic engineering efforts. Here, we present a yeast-based biosensor for detecting microbially produced Δ⁹-tetrahydrocannabinol (THC) to increase throughput and lower the cost of screening. We port five human cannabinoid G protein-coupled receptors (GPCRs) into yeast, showing the cannabinoid type 2 receptor, CB2R, can couple to the yeast pheromone response pathway and report on the concentration of a variety of cannabinoids over a wide dynamic and operational range. We demonstrate that our cannabinoid biosensor can detect THC from microbial cell culture and use this as a tool for measuring relative production yields from a library of Δ⁹-tetrahydrocannabinol acid synthase (THCAS) mutants.

SUBMITTER: Shaw WM

PROVIDER: S-EPMC9489785 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Screening microbially produced Δ<sup>9</sup>-tetrahydrocannabinol using a yeast biosensor workflow.

Shaw William M WM Zhang Yunfeng Y Lu Xinyu X Khalil Ahmad S AS Ladds Graham G Luo Xiaozhou X Ellis Tom T

Nature communications 20220920 1

Microbial production of cannabinoids promises to provide a consistent, cheaper, and more sustainable supply of these important therapeutic molecules. However, scaling production to compete with traditional plant-based sources is challenging. Our ability to make strain variants greatly exceeds our capacity to screen and identify high producers, creating a bottleneck in metabolic engineering efforts. Here, we present a yeast-based biosensor for detecting microbially produced Δ<sup>9</sup>-tetrahyd ...[more]

PMID: 36127350

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Project description:CD8+ T cells can contribute to neuroinflammation by secretion of inflammatory cytokines like interferon γ (IFNγ) and tumor necrosis factor α (TNFα). Astrocytes, a glial cell in the brain, can be stimulated by IFNγ and TNFα to secrete the inflammatory cytokines, monocyte chemotactic protein 1 (MCP-1), interleukin 6 (IL-6), and interferon-γ inducible protein 10 (IP-10). Δ9-Tetrahydrocannabinol (THC), the primary psychoactive cannabinoid in Cannabis sativa, possesses potent anti-inflammatory activity. The objective of this investigation was to assess the effects of THC treatment on CD8+ T cell-mediated activation of astrocytes. CD3/CD28/IFNα- stimulated CD8+ T cells were treated with vehicle (0.03% EtOH) or THC and cocultured with U251 astrocytes. IP-10+, MCP-1+, and IL-6+ astrocytes were quantified by flow cytometry. LegendPlex™ was used to measure cytokine secretion by CD8+ T cells and flow cytometry was employed to quantify IFNγ, TNFα, and lysosomal-associated membrane protein 1 (LAMP-1) expression. Recombinant TNFα and IFNγ were used to stimulate MCP-1, IP-10, IL-6 responses in U251 astrocytes, which were measured by flow cytometry. Treatment with THC reduced CD8+ T cell-mediated induction of IP-10 and IL-6 responses in U251 astrocytes but had no effect on MCP-1. THC treatment differentially affected T cell effector functions such that IFNγ and degranulation responses were sensitive to THC-mediated ablation while TNFα was not. Lastly, THC treatment reduced the IFNγ-induced IP-10 response but had no effect on TNFα-induced MCP-1 response in U251 astrocytes. The results suggest that cannabinoid treatment can selectively reduce certain CD8+ T cell responses that contribute to stimulation of astrocytes. Graphical Abstract Treatment with THC can abate CD8+ T cell-dependent neuroinflammatory processes by inhibiting CD8+ cell differentiation into effector cells, suppressing CD8+ effector cell function, and reducing activation of astrocytes by CD8+ T cell-derived inflammatory cytokines.

Dataset Information

Screening microbially produced Δ⁹-tetrahydrocannabinol using a yeast biosensor workflow.

Publications

Screening microbially produced Δ<sup>9</sup>-tetrahydrocannabinol using a yeast biosensor workflow.

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Dataset Information

Screening microbially produced Δ9-tetrahydrocannabinol using a yeast biosensor workflow.

Publications

Screening microbially produced Δ<sup>9</sup>-tetrahydrocannabinol using a yeast biosensor workflow.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Screening microbially produced Δ⁹-tetrahydrocannabinol using a yeast biosensor workflow.