Evidence map›Paper›PMID 38588603›Full record

ReviewACS synthetic biology2024

RNA-Based Sensor Systems for Affordable Diagnostics in the Age of Pandemics.

Ilkay Cisil Koksaldi, Dongwon Park, Abdurahman Atilla, Hansol Kang, Jongmin Kim, Urartu Ozgur Safak Seker

Abstract readReview
In one paragraph

Review in ACS synthetic biology, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Synthetic toehold biosensors for detectingFrontiers in microbiology · 2026
    Article
  4. Article
  5. Review
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.

Ilkay Cisil KoksaldiUNAM - Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center (UNAM), Bilkent University, Ankara 06800, Turkey.
Dongwon ParkDepartment of Life Sciences, Pohang University of Science and Technology, Pohang 37673, South Korea.
Abdurahman AtillaUNAM - Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center (UNAM), Bilkent University, Ankara 06800, Turkey.
Hansol KangDepartment of Life Sciences, Pohang University of Science and Technology, Pohang 37673, South Korea.
Jongmin KimDepartment of Life Sciences, Pohang University of Science and Technology, Pohang 37673, South Korea.ORCID 0000-0002-2713-1006
Urartu Ozgur Safak SekerUNAM - Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center (UNAM), Bilkent University, Ankara 06800, Turkey.ORCID 0000-0002-5272-1876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of the COVID-19 pandemic, the significance of point-of-care (POC) diagnostic tools has become increasingly vital, driven by the need for quick and precise virus identification. RNA-based sensors, particularly toehold sensors, have emerged as promising candidates for POC detection systems due to their selectivity and sensitivity. Toehold sensors operate by employing an RNA switch that changes the conformation when it binds to a target RNA molecule, resulting in a detectable signal. This review focuses on the development and deployment of RNA-based sensors for POC viral RNA detection with a particular emphasis on toehold sensors. The benefits and limits of toehold sensors are explored, and obstacles and future directions for improving their performance within POC detection systems are presented. The use of RNA-based sensors as a technology for rapid and sensitive detection of viral RNA holds great potential for effectively managing (dealing/coping) with present and future pandemics in resource-constrained settings.

Indexed as

Biosensing TechniquesCOVID-19COVID-19 TestingHumansPandemicsPoint-of-Care SystemsRNA, ViralRNA, Viralbiosensorscell-freeriboregulatoryRNA sensorssynthetic biologytoehold switch

Identifiers

PMID38588603
PMCPMC11036506

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.