Evidence map›Paper›PMID 26925805›Full record

ArticleMolecular systems biology2016

Coupling spatial segregation with synthetic circuits to control bacterial survival.

Shuqiang Huang, Anna Jisu Lee, Ryan Tsoi, Feilun Wu, Ying Zhang, Kam W Leong, Lingchong You

Abstract read
In one paragraph

Article in Molecular systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
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  10. Biocontainment strategies forFrontiers in bioengineering and biotechnology · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Biosensing in Smart Engineered Probiotics.Biotechnology journal · 2020
    Review
  18. Article
  19. Review
  20. Review
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

7 authors.

Shuqiang HuangDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Anna Jisu LeeDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Ryan TsoiDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Feilun WuDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Ying ZhangDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Kam W LeongDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, NC, USA Center for Genomic and Computational Biology, Duke University, Durham, NC, USA you@duke.edu.

Funding

Post-antibiotic effect and design of optimal antibiotic dosing protocolsR01GM098642 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2011 to 2025
$3.6M
A synthetic biology approach to analyze evolution of programmed bacterial deathR01GM110494 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2014 to 2017
$1.2M
NIGMS NIH HHS R01 GM098642NIGMS NIH HHS R01GM098642NIGMS NIH HHS R01 GM110494NIGMS NIH HHS R01GM110494
6 · The paper itself

Abstract

Engineered bacteria have great potential for medical and environmental applications. Fulfilling this potential requires controllability over engineered behaviors and scalability of the engineered systems. Here, we present a platform technology, microbial swarmbot, which employs spatial arrangement to control the growth dynamics of engineered bacteria. As a proof of principle, we demonstrated a safeguard strategy to prevent unintended bacterial proliferation. In particular, we adopted several synthetic gene circuits to program collective survival in Escherichia coli: the engineered bacteria could only survive when present at sufficiently high population densities. When encapsulated by permeable membranes, these bacteria can sense the local environment and respond accordingly. The cells inside the microbial swarmbot capsules will survive due to their high densities. Those escaping from a capsule, however, will be killed due to a decrease in their densities. We demonstrate that this design concept is modular and readily generalizable. Our work lays the foundation for engineering integrated and programmable control of hybrid biological-material systems for diverse applications.

Indexed as

Gene Expression Regulation, BacterialGene Regulatory NetworksAlginatesEscherichia coliGenetic EngineeringLab-On-A-Chip DevicesMicrobial ViabilityModels, MolecularPolylysineSystems Biologyalginate-polylysine-alginateAlginatesPolylysinecollective survivalengineered bacteriasafeguard controlspatial segregation

Identifiers

PMID26925805
PMCPMC4770385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.