Evidence map›Paper›PMID 23340842›Full record

ArticleMolecular systems biology2013

Autonomous bacterial localization and gene expression based on nearby cell receptor density.

Hsuan-Chen Wu, Chen-Yu Tsao, David N Quan, Yi Cheng, Matthew D Servinsky, Karen K Carter, Kathleen J Jee, Jessica L Terrell, Amin Zargar, Gary W Rubloff and 3 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  18. The potential roles of bacteria to improve radiation treatment outcome.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
    Review
  19. Article
  20. Article
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

13 authors.

Hsuan-Chen WuFischell Department of Bioengineering, University of Maryland, College Park, MD, USA.
Chen-Yu Tsao
David N Quan
Yi Cheng
Matthew D Servinsky
Karen K Carter
Kathleen J Jee
Jessica L Terrell
Amin Zargar
Gary W Rubloff
Gregory F Payne
James J Valdes
William E Bentley

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escherichia coli were genetically modified to enable programmed motility, sensing, and actuation based on the density of features on nearby surfaces. Then, based on calculated feature density, these cells expressed marker proteins to indicate phenotypic response. Specifically, site-specific synthesis of bacterial quorum sensing autoinducer-2 (AI-2) is used to initiate and recruit motile cells. In our model system, we rewired E. coli's AI-2 signaling pathway to direct bacteria to a squamous cancer cell line of head and neck (SCCHN), where they initiate synthesis of a reporter (drug surrogate) based on a threshold density of epidermal growth factor receptor (EGFR). This represents a new type of controller for targeted drug delivery as actuation (synthesis and delivery) depends on a receptor density marking the diseased cell. The ability to survey local surfaces and initiate gene expression based on feature density represents a new area-based switch in synthetic biology that will find use beyond the proposed cancer model here.

Indexed as

Cell Line, TumorDrug Delivery SystemsErbB ReceptorsEscherichia coliGene Expression RegulationGenetic EngineeringHead and Neck NeoplasmsHomoserineHumansLactonesNanotechnologyQuorum SensingErbB ReceptorsHomoserineLactonesN-octanoylhomoserine lactone

Identifiers

PMID23340842
PMCPMC3564257

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.