Evidence map›Paper›PMID 34140414›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Engineering cellular metabolite transport for biosynthesis of computationally predicted tropane alkaloid derivatives in yeast.

Prashanth Srinivasan, Christina D Smolke

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 71 citations in OpenAlex.

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  5. Convergence and parallelism in the evolution of plant metabolism.Journal of integrative plant biology · 2026
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  6. Harnessing endophytes and Multi-Omics for sustainable Colchicine biosynthesis.World journal of microbiology & biotechnology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Prashanth SrinivasanDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Christina D SmolkeDepartment of Bioengineering, Stanford University, Stanford, CA 94305; csmolke@stanford.edu.ORCID 0000-0002-5449-8495
Chan Zuckerberg Initiative (United States) · USStanford University · US

Funding

Synthetic Biology Platforms for Natural Product Discovery and BiosynthesisDP1AT007886 · NCCIH · STANFORD UNIVERSITY · PI SMOLKE, CHRISTINA D · 2012 to 2016
$3.9M
NCCIH NIH HHS DP1 AT007886
6 · The paper itself

Abstract

Microbial biosynthesis of plant natural products (PNPs) can facilitate access to valuable medicinal compounds and derivatives. Such efforts are challenged by metabolite transport limitations, which arise when complex plant pathways distributed across organelles and tissues are reconstructed in unicellular hosts without concomitant transport machinery. We recently reported an engineered yeast platform for production of the tropane alkaloid (TA) drugs hyoscyamine and scopolamine, in which product accumulation is limited by vacuolar transport. Here, we demonstrate that alleviation of transport limitations at multiple steps in an engineered pathway enables increased production of TAs and screening of useful derivatives. We first show that supervised classifier models trained on a tissue-delineated transcriptome from the TA-producing plant

Indexed as

Biosynthetic PathwaysMetabolic EngineeringMetabolomeBiological TransportComputer SimulationOxidation-ReductionPhylogenySaccharomyces cerevisiaeSubstrate SpecificityTropanesTropanesmachine learningmetabolic engineeringplant natural productstropane alkaloids

Identifiers

PMID34140414
PMCPMC8237673
OpenAlexW3172589504

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.