ArticleAnalytical chemistry2010
Ligase detection reaction generation of reverse molecular beacons for near real-time analysis of bacterial pathogens using single-pair fluorescence resonance energy transfer and a cyclic olefin copolymer microfluidic chip.
Article in Analytical chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- A Review on the Use of Impedimetric Sensors for the Inspection of Food Quality.International journal of environmental research and public health · 2020Review
- Advances in ligase chain reaction and ligation-based amplifications for genotyping assays: Detection and applications.Mutation research. Reviews in mutation research · 2017Review
- 3D-printed Microfluidic Devices: Fabrication, Advantages and Limitations-a Mini Review.Analytical methods : advancing methods and applications · 2016Article
- Single-pair fluorescence resonance energy transfer analysis of mRNA transcripts for highly sensitive gene expression profiling in near real time.Analytical chemistry · 2013Article
- Advances in microfluidic materials, functions, integration, and applications.Chemical reviews · 2013Review
- Micro total analysis systems for cell biology and biochemical assays.Analytical chemistry · 2012Review
- Design and development of a field-deployable single-molecule detector (SMD) for the analysis of molecular markers.The Analyst · 2012Article
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.
Funding
Abstract
Detection of pathogenic bacteria and viruses require strategies that can signal the presence of these targets in near real-time due to the potential threats created by rapid dissemination into water and/or food supplies. In this paper, we report an innovative strategy that can rapidly detect bacterial pathogens using reporter sequences found in their genome without requiring polymerase chain reaction (PCR). A pair of strain-specific primers was designed based on the 16S rRNA gene and were end-labeled with a donor (Cy5) or acceptor (Cy5.5) dye. In the presence of the target bacterium, the primers were joined using a ligase detection reaction (LDR) only when the primers were completely complementary to the target sequence to form a reverse molecular beacon (rMB), thus bringing Cy5 (donor) and Cy5.5 (acceptor) into close proximity to allow fluorescence resonance energy transfer (FRET) to occur. These rMBs were subsequently analyzed using single-molecule detection of the FRET pairs (single-pair FRET; spFRET). The LDR was performed using a continuous flow thermal cycling process configured in a cyclic olefin copolymer (COC) microfluidic device using either 2 or 20 thermal cycles. Single-molecule photon bursts from the resulting rMBs were detected on-chip and registered using a simple laser-induced fluorescence (LIF) instrument. The spFRET signatures from the target pathogens were reported in as little as 2.6 min using spFRET.
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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.