ArticleNature communications2020
A progesterone biosensor derived from microbial screening.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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.
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.
Who cites it
38 citing papers in PubMed, 87 citations in OpenAlex.
- Beyond estrobolome 1.0: unraveling endocrine-microbiome axis as a driver and therapeutic target in hormone-driven cancers.NPJ biofilms and microbiomes · 2026Review
- Construction of synthetic protein-binding non-genetic DNA systems in living cells.Nature chemistry · 2026Article
- A growth-coupled progesterone-responsive biosensor for high-throughput microfluidic screening inSynthetic and systems biotechnology · 2026Article
- Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Mapping the global landscape of molecular glues in drug discovery: a bibliometric analysis from 2010 to 2024.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Active learning-guided optimization of cell-free biosensors for lead testing in drinking water.Nature communications · 2025Article
- Directed Evolution in Escherichia coli for Novel Ligand-Binding Regulators: Evolving a Progesterone-Responsive Transcription Factor to Bind Cortisol.Current protocols · 2025Article
- Predictive biophysical neural network modeling of a compendium of in vivo transcription factor DNA binding profiles for Escherichia coli.Nature communications · 2025Article
- Recent Advances in Biosensor Technologies for Meat Production Chain.Foods (Basel, Switzerland) · 2025Review
- Degradation of CCurrent microbiology · 2025Article
- Biological Switches: Past and Future Milestones of Transcription Factor-Based Biosensors.ACS synthetic biology · 2025Review
- Efficient sex hormone biosensors in Saccharomyces cerevisiae cells to evaluate human aromatase activity and inhibition.Scientific reports · 2025Article
- Microbial biosensors for diagnostics, surveillance and epidemiology: Today's achievements and tomorrow's prospects.Microbial biotechnology · 2024Review
- Dynamics design of a non-natural transcription factor responding to androst-4-ene-3,17-dione.Synthetic and systems biotechnology · 2024Article
- Nanomaterial-Based Sensors for Coumarin Detection.ACS omega · 2024Review
- Biosensing Platforms for Cardiac Biomarker Detection.ACS omega · 2024Review
- Divergent directed evolution of a TetR-type repressor towards aromatic molecules.Nucleic acids research · 2023Article
- Learning perturbation-inducible cell states from observability analysis of transcriptome dynamics.Nature communications · 2023Article
- TFBMiner: A User-Friendly Command Line Tool for the Rapid Mining of Transcription Factor-Based Biosensors.ACS synthetic biology · 2023Article
- Incoherent merger network for robust ratiometric gene expression response.Nucleic acids research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 2 institutions in 2 countries.
Funding
Abstract
Bacteria are an enormous and largely untapped reservoir of biosensing proteins. We describe an approach to identify and isolate bacterial allosteric transcription factors (aTFs) that recognize a target analyte and to develop these TFs into biosensor devices. Our approach utilizes a combination of genomic screens and functional assays to identify and isolate biosensing TFs, and a quantum-dot Förster Resonance Energy Transfer (FRET) strategy for transducing analyte recognition into real-time quantitative measurements. We use this approach to identify a progesterone-sensing bacterial aTF and to develop this TF into an optical sensor for progesterone. The sensor detects progesterone in artificial urine with sufficient sensitivity and specificity for clinical use, while being compatible with an inexpensive and portable electronic reader for point-of-care applications. Our results provide proof-of-concept for a paradigm of microbially-derived biosensors adaptable to inexpensive, real-time sensor devices.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.