Evidence map›Paper›PMID 32846271›Full record

ArticleBiosensors & bioelectronics2020

ddRFC: A scalable multiplexed droplet digital nucleic acid amplification test platform.

Ye Zhang, Pengfei Zhang, Liben Chen, Aniruddha Kaushik, Katherine Hu, Tza-Huei Wang

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. StratoLAMP: Label-free, multiplex digital loop-mediated isothermal amplification based on visual stratification of precipitate.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
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 at 1 institution in 1 country.

Ye ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Pengfei ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Liben ChenDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Aniruddha KaushikDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Katherine HuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Tza-Huei WangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, 21218, USA. Electronic address: thwang@jhu.edu.
Johns Hopkins University · US

Funding

A Droplet-based single cell platform for pathogen identification and ASTR01AI117032 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LIAO, JOSEPH C, WANG, TZA-HUEI JEFF · 2015 to 2019
$5.7M
Technology development for point-of-care detection and antimicrobial susceptibility testing of Neisseria gonorrhoeaeR01AI138978 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2018 to 2021
$5.1M
A "Culture" Shift: Integrated Bacterial Screening and Antibacterial Susceptibility Test on Microfluidic Digital Array for Bloodstream InfectionsR01AI137272 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF, YANG, SAMUEL · 2018 to 2022
$3.6M
Acquisition of GE Typhoon FLA9500 Variable Mode ImagerS10OD021567 · OD · JOHNS HOPKINS UNIVERSITY · PI MCCAFFERY, J. MICHAEL · 2017 to 2017
$147k
NIAID NIH HHS R01 AI117032NIAID NIH HHS R01 AI137272NIAID NIH HHS R01 AI138978NIH HHS S10 OD021567
6 · The paper itself

Abstract

Digital nucleic acid amplification tests (digital NAATs) have emerged as a popular tool for nucleic acid detection due to their high sensitivity and specificity. Most current digital NAAT platforms, however, are limited to a "one-color-one-target" approach wherein each target is encoded with a specific fluorescently-labeled probe for single-plex fluorometric detection. This approach is difficult to multiplex due to spectral overlap between any additional fluorophores, and multiplexability of digital NAATs has therefore been limited. As a means to scale multiplexability, we have developed a multiplexed digital NAAT platform, termed Droplet Digital Ratiometric Fluorescence Coding (ddRFC), via a padlock probe-based nucleic acid detection assay which encodes each nucleic acid target with a unique combination of 2 fluorophores. We detect this encoded two-color fluorescence signature of each target by performing digital amplification in microfluidic droplets. To demonstrate the utility of our platform, we have synthesized 6 distinct padlock probes, each rendering a unique two-color fluorescence signature to a nucleic acid target representing a clinically important sexually transmitted infection (STI). We proceed to demonstrate broad-based, two-plex, four-plex, and six-plex detection of the STI targets with single-molecule resolution. Our design offers a cost-effective approach to scale up multiplexability by simply tuning the number of molecular beacon binding sites on the padlock probe without redesigning amplification primers or fluorescent molecular beacons. With further development, our platform has the potential to enable highly multiplexed detection of nucleic acid targets, with potentially unrestricted multiplexability, and serve as a diagnostic tool for many more diseases in the future.

Indexed as

Biosensing TechniquesDNA PrimersMicrofluidicsNucleic Acid Amplification TechniquesDNA PrimersDigital nucleic acid amplification testFluorescence spectroscopyMultiplexed nucleic acid detectionPadlock probePicoliter droplet

Identifiers

PMID32846271
PMCPMC7534973
OpenAlexW3049356984

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.