ArticleThe Analyst2021
Two stage, nested isothermal amplification in a single tube.
Article in The Analyst, 2021. 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.
- Smartphone-Linked and Electricity-Free Platforms for Rapid Colorimetric Molecular Detection of Poultry Respiratory Viruses at the Point of Need.Biosensors · 2025Article
- Point-of-Care Diagnostic Test for Rapid Detection of Infectious Laryngotracheitis Virus by Loop-Mediated Isothermal Amplification and Nanoprobes.International journal of molecular sciences · 2025Article
- Chemical Heating for Minimally Instrumented Point-of-Care (POC) Molecular Diagnostics.Biosensors · 2024Review
- Review
- Virus Detection and Identification in Minutes Using Single-Particle Imaging and Deep Learning.ACS nano · 2023Article
- A precise review on NAATs-based diagnostic assays for COVID-19: A motion in fast POC molecular tests.European journal of clinical investigation · 2022Review
- Laboratory detection of SARS-CoV-2: A review of the current literature and future perspectives.Heliyon · 2022Review
- Sensitive, Single-Pot, Two-Stage Assay for Hepatitis Viruses.Analytical chemistry · 2022Article
- Single- and Two-Stage, Closed-Tube, Point-of-Care, Molecular Detection of SARS-CoV-2.Analytical chemistry · 2021Article
- RAP: A Novel Approach to the Rapid and Highly Sensitive Detection of Respiratory Viruses.Frontiers in bioengineering and biotechnology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Sensitive, specific and rapid molecular diagnosis of respiratory diseases in animals and humans is critical to facilitate appropriate control measures and treatment. Conventional polymerase chain reaction (PCR)-based molecular diagnostics requires relatively expensive equipment and trained staff, restricting its use to centralized laboratories with significant delays between sample collection and test results. Herein, we report a highly sensitive, rapid, point-of-need, two-stage-molecular test that requires minimal instrumentation and training. Our test, dubbed Penn-RAMP, combines recombinase polymerase amplification (RPA, 38 °C) and loop-mediated isothermal amplification (LAMP, 63 °C) in one tube, enabling nested, two-stage isothermal amplification. We demonstrate Penn-RAMP's efficacy by testing for two common viral respiratory diseases of chickens: infectious laryngotracheitis (ILT) and infectious bronchitis (IB) that impose great economic burden worldwide. Test results of clinical samples with our closed-tube Penn-RAMP assays concord with the gold standard quantitative PCR (qPCR) assay; with 10-fold better limit of detection than LAMP and qPCR. Our closed-tube Penn-RAMP assays have the potential to greatly reduce false negatives while requiring minimal instrumentation and training.
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.