ArticleScientific reports2016
High-throughput living cell-based optical biosensor for detection of bacterial lipopolysaccharide (LPS) using a red fluorescent protein reporter system.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 37 citations in OpenAlex.
- USENSE: A proof-of-concept self-screening tool for home-based recurrent urinary tract infection management.Bioengineering & translational medicine · 2025Article
- Advancing protein biosensors: redefining detection through innovations in materials, mechanisms, and applications for precision medicine and global diagnostics.RSC advances · 2025Review
- Overview of Optical Biosensors for Early Cancer Detection: Fundamentals, Applications and Future Perspectives.Biology · 2023Review
- Environmental protection based on the nanobiosensing of bacterial lipopolysaccharides (LPSs): material and method overview.RSC advances · 2022Review
- Whole-Cell Microbial Bioreporter for Soil Contaminants Detection.Frontiers in bioengineering and biotechnology · 2021Review
- Nanotechnologies in Food Science: Applications, Recent Trends, and Future Perspectives.Nano-micro letters · 2020Review
- Synthetic Biology Enables Programmable Cell-Based Biosensors.Chemphyschem : a European journal of chemical physics and physical chemistry · 2020Review
- Recent Development of Aptasensor for Influenza Virus Detection.Biochip journal · 2020Review
- Application of a TLR overexpression cell model in pyrogen detection.Biotechnology and bioengineering · 2019Article
- Preparation of a Peptide-Modified Electrode for Capture and Voltammetric Determination of Endotoxin.ACS omega · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the high toxicity of bacterial lipopolysaccharide (LPS), resulting in sepsis and septic shock, two major causes of death worldwide, significant effort is directed toward the development of specific trace-level LPS detection systems. Here, we report sensitive, user-friendly, high-throughput LPS detection in a 96-well microplate using a transcriptional biosensor system, based on 293/hTLR4A-MD2-CD14 cells that are transformed by a red fluorescent protein (mCherry) gene under the transcriptional control of an NF-κB response element. The recognition of LPS activates the biosensor cell, TLR4, and the co-receptor-induced NF-κB signaling pathway, which results in the expression of mCherry fluorescent protein. The novel cell-based biosensor detects LPS with specificity at low concentration. The cell-based biosensor was evaluated by testing LPS isolated from 14 bacteria. Of the tested bacteria, 13 isolated Enterobacteraceous LPSs with hexa-acylated structures were found to increase red fluorescence and one penta-acylated LPS from Pseudomonadaceae appeared less potent. The proposed biosensor has potential for use in the LPS detection in foodstuff and biological products, as well as bacteria identification, assisting the control of foodborne diseases.
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.