Evidence map›Paper›PMID 35614128›Full record

ArticleCommunications biology2022

Automated amplification-free digital RNA detection platform for rapid and sensitive SARS-CoV-2 diagnosis.

Hajime Shinoda, Tatsuya Iida, Asami Makino, Mami Yoshimura, Junichiro Ishikawa, Jun Ando, Kazue Murai, Katsumi Sugiyama, Yukiko Muramoto, Masahiro Nakano and 7 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
  2. Towards deployable CRISPR-based nucleic acid detection.Progress in biomedical engineering (Bristol, England) · 2026
    Review
  3. Droplet Digital CRISPR for Nucleic Acid Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Article
  5. Article
  6. Digital SERS bioanalysis of single-enzyme biomarkers.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Review
  8. A Critical Review of the CRISPR-Cas Technology in the Detection of SARS-CoV-2 Variants.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Development of practical techniques for simultaneous detection and distinction of current and emerging SARS-CoV-2 variants.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

17 authors at 9 institutions in 2 countries.

Hajime Shinoda *Molecular Physiology Laboratory, Cluster for Pioneering Research, RIKEN, Saitama, Japan.
Tatsuya Iida *Molecular Physiology Laboratory, Cluster for Pioneering Research, RIKEN, Saitama, Japan.ORCID 0000-0003-0655-7937
Asami Makino *Molecular Physiology Laboratory, Cluster for Pioneering Research, RIKEN, Saitama, Japan.
Mami Yoshimura *Molecular Physiology Laboratory, Cluster for Pioneering Research, RIKEN, Saitama, Japan.
Junichiro IshikawaDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Jun AndoMolecular Physiology Laboratory, Cluster for Pioneering Research, RIKEN, Saitama, Japan.
Kazue MuraiMolecular Physiology Laboratory, Cluster for Pioneering Research, RIKEN, Saitama, Japan.
Katsumi SugiyamaFUJIFILM Media Crest Co., Ltd, Tokyo, Japan.
Yukiko MuramotoCREST, Japan Science and Technology Agency, Saitama, Japan.ORCID 0000-0002-8706-3113
Masahiro NakanoCREST, Japan Science and Technology Agency, Saitama, Japan.ORCID 0000-0003-4247-9008
Kotaro KigaDivision of Bacteriology, Department of Infection and Immunity, School of Medicine, Jichi Medical University, Tochigi, Japan.
Longzhu CuiDivision of Bacteriology, Department of Infection and Immunity, School of Medicine, Jichi Medical University, Tochigi, Japan.
Osamu NurekiDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-1813-7008
Hiroaki TakeuchiDepartment of Molecular Virology, Tokyo Medical and Dental University, Tokyo, Japan.
Takeshi NodaCREST, Japan Science and Technology Agency, Saitama, Japan.
Hiroshi NishimasuCREST, Japan Science and Technology Agency, Saitama, Japan. nisimasu@g.ecc.u-tokyo.ac.jp.ORCID 0000-0002-2505-1416
Rikiya WatanabeMolecular Physiology Laboratory, Cluster for Pioneering Research, RIKEN, Saitama, Japan. rikiya.watanabe@riken.jp.ORCID 0000-0001-7146-2745
Japan Science and Technology Agency · JPKyoto University · JPJichi Medical University · JPThe University of Tokyo · JPFujifilm (Japan) · JPPioneer (Japan) · JPPioneer (United States) · USTokyo Medical and Dental University · JPTokyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the ongoing COVID-19 pandemic, rapid and sensitive diagnosis of viral infection is a critical deterrent to the spread of SARS-CoV-2. To this end, we developed an automated amplification-free digital RNA detection platform using CRISPR-Cas13a and microchamber device (opn-SATORI), which automatically completes a detection process from sample mixing to RNA quantification in clinical specimens within ~9 min. Using the optimal Cas13a enzyme and magnetic beads technology, opn-SATORI detected SARS-CoV-2 genomic RNA with a LoD of < 6.5 aM (3.9 copies μL

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansPandemicsRNA, ViralRNA, Viral

Identifiers

PMID35614128
PMCPMC9132978
OpenAlexW4281551921

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.