Evidence map›Paper›PMID 40983646›Full record

ArticleNature biomedical engineering2026

Bead-based approaches for increased sensitivity and multiplexing of CRISPR diagnostics.

Sameed M Siddiqui, Nicole L Welch, Tien G Nguyen, Amaya Razmi, Tianyi Chang, Rebecca Senft, Jon Arizti-Sanz, Marzieh E Mirhashemi, David R Stirling, Cheri M Ackerman and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature biomedical engineering, 2026. 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. Review
  2. Article
  3. 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

14 authors.

Sameed M Siddiqui *Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA. sameed@mit.edu.ORCID http://orcid.org/0000-0002-0392-7085
Nicole L Welch *Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
Tien G Nguyen *Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
Amaya RazmiBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
Tianyi ChangBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
Rebecca SenftBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-0081-4170
Jon Arizti-SanzBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-4092-9952
Marzieh E MirhashemiBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
David R StirlingBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
Cheri M AckermanBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
Beth A CiminiBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9640-9318
Paul C BlaineyBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-4889-8783
Pardis C SabetiBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA. pardis@broadinstitute.edu.ORCID http://orcid.org/0000-0002-9843-1890
Cameron MyhrvoldDepartment of Molecular Biology, Princeton University, Princeton, NJ, USA. cmyhrvol@princeton.edu.ORCID http://orcid.org/0000-0002-8971-184X

Funding

United States Department of Defense | Defense Advanced Research Projects Agency (DARPA) D18AC00006U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC) 75D30122C15113
6 · The paper itself

Abstract

CRISPR-based diagnostics have emerged as a promising tool for fast, accurate and portable pathogen detection. There has been rapid progress in pre-amplification processes and CRISPR-related enzymes used in these approaches, but the development of reporter systems and reaction platforms has lagged behind. In this paper, we develop bead-based techniques to address these gaps. First, we develop a novel bead-based split-luciferase reporter system with up to 20× sensitivity compared with standard fluorescence-based reporter design in CRISPR diagnostics. Second, we develop a highly deployable, bead-based platform capable of detecting nine distinct viral targets in parallelized, droplet-based reactions, with sensitivity reaching as low as 2.5 copies per µl of input RNA. We demonstrate the enhanced performance of both approaches on synthetic and clinical sample sensitivity, speed, multiplexing and deployability.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsGenes, ReporterHumansSensitivity and Specificity

Identifiers

PMID40983646
PMCPMC13190306

What OpenQuestion holds

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Registered trials

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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.