Evidence map›Paper›PMID 41039096›Full record

ReviewNature nanotechnology2025

Convergence of nanotechnology and CRISPR-based diagnostics.

Midori Johnston, Schan Dissanayake-Perera, James J Collins, Molly M Stevens, Can Dincer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Midori JohnstonIMTEK-Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.
Schan Dissanayake-PereraDepartment of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, UK.
James J CollinsWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5560-8246
Molly M StevensDepartment of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, UK. molly.stevens@dpag.ox.ac.uk.
Can DincerIMTEK-Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany. can.dincer@tum.de.ORCID http://orcid.org/0000-0003-3301-1198

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 13GW0493Royal Academy of Engineering CiET2021\94
6 · The paper itself

Abstract

In addition to its broad application in genome engineering and therapeutics, clustered regularly interspaced short palindromic repeats (CRISPR) technology provides field-deployable methods for the highly sensitive and selective detection of nucleic acids. From a diagnostic perspective, CRISPR-based assays hold clear clinical potential for identifying a range of both infectious and non-communicable diseases. In this Perspective we evaluate recent nanotechnologies and nanomaterials that have been engineered to interface with CRISPR systems on a nanoscale level to realize the full potential of this versatile diagnostic tool. We assess biomolecules such as enzymes and oligonucleotides, some of the more commonly used synthetic nanoparticles and detection platforms that integrate nanotechnologies in new and innovative ways. We discuss current trends and look ahead to future challenges and opportunities, including non-nucleic acid target detection, pre-amplification-free detection of nucleic acids, the development of wearable devices and integration with artificial intelligence workflows.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsNanotechnologyGene EditingHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.