Evidence map›Paper›PMID 32839783›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Single-strand RPA for rapid and sensitive detection of SARS-CoV-2 RNA.

Youngeun Kim, Adam B Yaseen, Jocelyn Y Kishi, Fan Hong, Sinem K Saka, Kuanwei Sheng, Nikhil Gopalkrishnan, Thomas E Schaus, Peng Yin

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed, 31 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Youngeun KimWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
Adam B YaseenWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
Jocelyn Y KishiWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
Fan HongWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
Sinem K SakaWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
Kuanwei ShengWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
Nikhil GopalkrishnanWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
Thomas E SchausWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
Peng YinWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
Harvard University · US

Funding

High-throughput single-molecule protein identification via super-resolution imagingDP1GM133052 · NIGMS · HARVARD UNIVERSITY · PI YIN, PENG · 2018 to 2022
$6.6M
NIGMS NIH HHS DP1 GM133052
6 · The paper itself

Abstract

We report the single-strand Recombinase Polymerase Amplification (ssRPA) method, which merges the fast, isothermal amplification of RPA with subsequent rapid conversion of the double-strand DNA amplicon to single strands, and hence enables facile hybridization-based, high-specificity readout. We demonstrate the utility of ssRPA for sensitive and rapid (4 copies per 50 μL reaction within 10 min, or 8 copies within 8 min) visual detection of SARS-CoV-2 RNA spiked samples, as well as clinical saliva and nasopharyngeal swabs in VTM or water, on lateral flow devices. The ssRPA method promises rapid, sensitive, and accessible RNA detection to facilitate mass testing in the COVID-19 pandemic.

Identifiers

PMID32839783
PMCPMC7444299
OpenAlexW3080729190

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.