Evidence map›Paper›PMID 31851676›Full record

ArticlePloS one2019

A low-cost fluorescence reader for in vitro transcription and nucleic acid detection with Cas13a.

Florian Katzmeier, Lukas Aufinger, Aurore Dupin, Jorge Quintero, Matthias Lenz, Ludwig Bauer, Sven Klumpe, Dawafuti Sherpa, Benedikt Dürr, Maximilian Honemann and 3 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Towards deployable CRISPR-based nucleic acid detection.Progress in biomedical engineering (Bristol, England) · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. CRISPR/Cas-Based Techniques for Live-Cell Imaging and Bioanalysis.International journal of molecular sciences · 2023
    Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Next-Generation Diagnostic with CRISPR/Cas: Beyond Nucleic Acid Detection.International journal of molecular sciences · 2022
    Review
  17. Article
  18. CRISPR Approaches for the Diagnosis of Human Diseases.International journal of molecular sciences · 2022
    Review
  19. Review
  20. Novel CRISPR-based detection ofFrontiers in microbiology · 2022
    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

13 authors.

Florian KatzmeierPhysics Department and ZNN, Technical University of Munich, Garching, Germany.
Lukas AufingerPhysics Department and ZNN, Technical University of Munich, Garching, Germany.ORCID 0000-0001-9573-2738
Aurore DupinPhysics Department and ZNN, Technical University of Munich, Garching, Germany.
Jorge QuinteroDepartment of Biology, Ludwig-Maximilians-Universität Munich, Martinsried, Germany.
Matthias LenzPhysics Department and ZNN, Technical University of Munich, Garching, Germany.
Ludwig BauerPhysics Department and ZNN, Technical University of Munich, Garching, Germany.
Sven KlumpePhysics Department and ZNN, Technical University of Munich, Garching, Germany.
Dawafuti SherpaDepartment of Biology, Ludwig-Maximilians-Universität Munich, Martinsried, Germany.
Benedikt DürrDepartment of Biology, Ludwig-Maximilians-Universität Munich, Martinsried, Germany.
Maximilian HonemannPhysics Department and ZNN, Technical University of Munich, Garching, Germany.
Igor StyazhkinPhysics Department and ZNN, Technical University of Munich, Garching, Germany.
Friedrich C SimmelPhysics Department and ZNN, Technical University of Munich, Garching, Germany.
Michael HeymannIntelligent Biointegrative Systems Group, Institute for Biomaterials and Biomolecular Systems, University Stuttgart, Germany.ORCID 0000-0002-9278-8207

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care testing (POCT) in low-resource settings requires tools that can operate independently of typical laboratory infrastructure. Due to its favorable signal-to-background ratio, a wide variety of biomedical tests utilize fluorescence as a readout. However, fluorescence techniques often require expensive or complex instrumentation and can be difficult to adapt for POCT. To address this issue, we developed a pocket-sized fluorescence detector costing less than $15 that is easy to manufacture and can operate in low-resource settings. It is built from standard electronic components, including an LED and a light dependent resistor, filter foils and 3D printed parts, and reliably reaches a lower limit of detection (LOD) of ≈ 6.8 nM fluorescein, which is sufficient to follow typical biochemical reactions used in POCT applications. All assays are conducted on filter paper, which allows for a flat detector architecture to improve signal collection. We validate the device by quantifying in vitro RNA transcription and also demonstrate sequence-specific detection of target RNAs with an LOD of 3.7 nM using a Cas13a-based fluorescence assay. Cas13a is an RNA-guided, RNA-targeting CRISPR effector with promiscuous RNase activity upon recognition of its RNA target. Cas13a sensing is highly specific and adaptable and in combination with our detector represents a promising approach for nucleic acid POCT. Furthermore, our open-source device may be used in educational settings, through providing low cost instrumentation for quantitative assays or as a platform to integrate hardware, software and biochemistry concepts in the future.

Indexed as

CRISPR-Cas SystemsFluorescenceBacterial ProteinsBiosensing TechniquesCRISPR-Associated ProteinsGreen Fluorescent ProteinsIn Vitro TechniquesLimit of DetectionRNA, BacterialTranscription, GeneticBacterial ProteinsCRISPR-Associated ProteinsGreen Fluorescent ProteinsRNA, Bacterial

Identifiers

PMID31851676
PMCPMC6919979

What OpenQuestion holds

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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.