Evidence map›Paper›PMID 40263365›Full record

ArticleNature communications2025

Engineering coupled consortia-based biosensors for diagnostic.

Rongying Huang, Valeriia Kravchik, Rawan Zaatry, Mouna Habib, Naama Geva-Zatorsky, Ramez Daniel

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Rongying HuangDepartment of Biotechnology Technion-Israel Institute of Technology, Technion City, Haifa, Israel.ORCID http://orcid.org/0009-0001-5272-3257
Valeriia KravchikDepartment of Biomedical Engineering Technion-Israel Institute of Technology, Technion City, Haifa, Israel.ORCID http://orcid.org/0009-0004-6800-7425
Rawan ZaatryDepartment of Cell Biology and Cancer Science, Rappaport Technion Integrated Cancer Center (RTICC), Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, 3525422, Haifa, Israel.
Mouna HabibDepartment of Biomedical Engineering Technion-Israel Institute of Technology, Technion City, Haifa, Israel.
Naama Geva-ZatorskyDepartment of Cell Biology and Cancer Science, Rappaport Technion Integrated Cancer Center (RTICC), Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, 3525422, Haifa, Israel.
Ramez DanielDepartment of Biomedical Engineering Technion-Israel Institute of Technology, Technion City, Haifa, Israel. ramizda@bm.technion.ac.il.ORCID http://orcid.org/0000-0001-8886-3668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic multicellular systems have great potential for performing complex tasks, including multi-signal detection and computation through cell-to-cell communication. However, engineering these systems is challenging, requiring precise control over the cell concentrations of distinct members and coordination of their activity. Here, we develop a bacterial consortia-based biosensor for Heme and Lactate, wherein members are coupled through a global shared quorum-sensing signal that simultaneously controls the activity of the diverse biosensing strains. The multicellular system incorporates a gene circuit that computes the minimum between each biosensor's activity and the shared signal. We evaluate three consortia configurations: one where the shared signal is externally supplied, another directly produced via an inducible gene circuit, and a third generated through an incoherent feedforward loop (IFFL) gene circuit. Among these configurations, the IFFL system, which maintains the shared signal at low and stable levels over an extended period, demonstrates improved performance and robustness against perturbations in cell populations. Finally, we examine these coupled consortia to monitor Lactate and Heme in humanized fecal samples for diagnostics.

Indexed as

Biosensing TechniquesMicrobial ConsortiaEscherichia coliFecesGene Regulatory NetworksHemeHumansLactic AcidQuorum SensingHemeLactic Acid

Identifiers

PMID40263365
PMCPMC12015303

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.