Evidence map›Paper›PMID 29844460›Full record

ArticleScientific reports2018

Spatially organizing biochemistry: choosing a strategy to translate synthetic biology to the factory.

Christopher M Jakobson, Danielle Tullman-Ercek, Niall M Mangan

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Review
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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

3 authors.

Christopher M JakobsonDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Danielle Tullman-ErcekDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL, 60208, USA.
Niall M ManganDepartment of Engineering Science and Applied Mathematics, Northwestern University, Evanston, IL, 60208, USA. niallmm@gmail.com.ORCID 0000-0002-3491-8341

Funding

Using self-templating proteins to spatiotemporally organize biochemistryF32GM125162 · NIGMS · STANFORD UNIVERSITY · PI JAKOBSON, CHRISTOPHER MATTHEW · 2017 to 2019
$179k
NIGMS NIH HHS F32 GM125162
6 · The paper itself

Abstract

Natural biochemical systems are ubiquitously organized both in space and time. Engineering the spatial organization of biochemistry has emerged as a key theme of synthetic biology, with numerous technologies promising improved biosynthetic pathway performance. One strategy, however, may produce disparate results for different biosynthetic pathways. We use a spatially resolved kinetic model to explore this fundamental design choice in systems and synthetic biology. We predict that two example biosynthetic pathways have distinct optimal organization strategies that vary based on pathway-dependent and cell-extrinsic factors. Moreover, we demonstrate that the optimal design varies as a function of kinetic and biophysical properties, as well as culture conditions. Our results suggest that organizing biosynthesis has the potential to substantially improve performance, but that choosing the appropriate strategy is key. The flexible design-space analysis we propose can be adapted to diverse biosynthetic pathways, and lays a foundation to rationally choose organization strategies for biosynthesis.

Indexed as

Biosynthetic PathwaysAlgorithmsBacteriaKineticsMetabolic EngineeringModels, BiologicalProtein EngineeringSoftwareSynthetic Biology

Identifiers

PMID29844460
PMCPMC5974357

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.