Evidence map›Paper›PMID 30996123›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Rapid screening of engineered microbial therapies in a 3D multicellular model.

Tetsuhiro Harimoto, Zakary S Singer, Oscar S Velazquez, Joanna Zhang, Samuel Castro, Taylor E Hinchliffe, William Mather, Tal Danino

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 38 citations in OpenAlex.

  1. Toward development of soil-derivedBiodesign research · 2026
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  6. Engineering Heterogeneous Tumor Models for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  7. Article
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  16. Engineered Bacteria-Based Living Materials for Biotherapeutic Applications.Frontiers in bioengineering and biotechnology · 2022
    Review
  17. Article
  18. Article
  19. 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

8 authors at 3 institutions in 1 country.

Tetsuhiro HarimotoDepartment of Biomedical Engineering, Columbia University, New York, NY 10027.
Zakary S SingerDepartment of Biomedical Engineering, Columbia University, New York, NY 10027.
Oscar S VelazquezDepartment of Biomedical Engineering, Columbia University, New York, NY 10027.
Joanna ZhangDepartment of Biomedical Engineering, Columbia University, New York, NY 10027.
Samuel CastroDepartment of Biomedical Engineering, Columbia University, New York, NY 10027.
Taylor E HinchliffeDepartment of Biomedical Engineering, Columbia University, New York, NY 10027.
William MatherBioCircuits Institute, University of California, San Diego, La Jolla, CA 92093.
Tal DaninoDepartment of Biomedical Engineering, Columbia University, New York, NY 10027; td2506@columbia.edu.
Columbia University · USColumbia University Irving Medical Center · USUniversity of California, San Diego · US

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Parisa Tehranifar · 1985 to 2026
$115.3M
Programmable Probiotics for CancerR00CA197649 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DANINO, TAL · 2016 to 2018
$651k
Engineering of bacterial probiotics for the detection and treatment of hepatocellular carcinomaF32CA225145 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SINGER, ZAKARY · 2018 to 2020
$191k
NCI NIH HHS F32 CA225145NCI NIH HHS P30 CA013696NCI NIH HHS R00 CA197649
6 · The paper itself

Abstract

Synthetic biology is transforming therapeutic paradigms by engineering living cells and microbes to intelligently sense and respond to diseases including inflammation, infections, metabolic disorders, and cancer. However, the ability to rapidly engineer new therapies far outpaces the throughput of animal-based testing regimes, creating a major bottleneck for clinical translation. In vitro approaches to address this challenge have been limited in scalability and broad applicability. Here, we present a bacteria-in-spheroid coculture (BSCC) platform that simultaneously tests host species, therapeutic payloads, and synthetic gene circuits of engineered bacteria within multicellular spheroids over a timescale of weeks. Long-term monitoring of bacterial dynamics and disease progression enables quantitative comparison of critical therapeutic parameters such as efficacy and biocontainment. Specifically, we screen

Indexed as

AnimalsCoculture TechniquesDiagnosisDiagnostic Techniques and ProceduresDisease Models, AnimalDrug Screening Assays, AntitumorEscherichia coliGene Regulatory NetworksGenetic EngineeringHigh-Throughput Screening AssaysListeria monocytogenesMiceProteus mirabilisSalmonella typhimuriumSpheroids, CellularSynthetic Biologybacterial therapycancer therapyhigh-throughput screeningsynthetic biology

Identifiers

PMID30996123
PMCPMC6500119
OpenAlexW2903608734

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.