Evidence map›Paper›PMID 42396176›Full record

ArticleBiodesign research2026

Toward development of soil-derived

Dhruba Deb, Filippo Liguori, Bentley M Shuster, Ruoqi Huang, Stefani Shoreibah, Steven Wang, Nathan Emmanuel Rojas Ocampo, Kyle P Murray, Tal Danino

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biodesign research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Dhruba DebDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
Filippo LiguoriDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
Bentley M ShusterDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
Ruoqi HuangDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
Stefani ShoreibahDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
Steven WangDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
Nathan Emmanuel Rojas OcampoDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
Kyle P MurrayDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
Tal DaninoDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wide-ranging impact of the human microbiome on health and disease has sparked growing interest in employing bacteria as live therapeutics. Natural properties of bacteria have been enhanced using synthetic biology to treat diverse diseases, from infections to inflammation and cancer. However, a major obstacle in this area is identifying specific bacterial hosts and molecular payloads that are both safe and effective for specific diseases or cancers. In this study, we explored environmental microbial diversity as a promising source of new therapeutic agents that could be engineered for bacterial drug delivery systems. We collected and characterized soil bacteria from 25 urban public parks, then evaluated their secreted metabolites for anti-cancer activity using both monolayer and three-dimensional spheroid models of lung cancer. Metagenomic analysis, toxicity profiling, and co-culture assays revealed that several

Indexed as

Bacterial synthetic biologyCancer therapyEnvironmental microbial diversity

Identifiers

PMID42396176
PMCPMC13324073

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.