Evidence map›Paper›PMID 40017424›Full record

ArticleACS nano2025

Deactivated Cas9-Engineered Magnetic Micromotors toward a Point-of-Care Digital Viral RNA Assay.

Younseong Song, Hyunji Park, Prudhvi Thirumalaraju, Niveditha Kovilakath, Joseph Michael Hardie, Arafeh Bigdeli, Yueying Bai, Sukbeom Chang, Jungmin Yoo, Manoj Kumar Kanakasabapathy and 7 more

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Younseong SongDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.ORCID 0000-0001-5296-044X
Hyunji ParkDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Prudhvi ThirumalarajuDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Niveditha KovilakathDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Joseph Michael HardieDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Arafeh BigdeliDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Yueying BaiDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Sukbeom ChangDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Jungmin YooDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Manoj Kumar KanakasabapathyDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Sungwan KimDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Juhyeon ChunDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.
Hui ChenDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.ORCID 0000-0002-9422-8959
Jonathan Z LiDivision of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02139, United States.
Athe M TsibrisDivision of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02139, United States.
Daniel R KuritzkesDivision of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02139, United States.
Hadi ShafieeDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, Massachusetts 02139, United States.ORCID 0000-0003-2240-7648

Funding

Boston Biomedical Innovation CenterU54HL119145 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLAN, DAVID E., LOSCALZO, JOSEPH · 2013 to 2021
$18.8M
A smartphone-enabled point-of-care HCV Ag diagnostic using catalytic nanoparticles and AI-enhanced image processingR01EB033866 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI SHAFIEE, HADI · 2022 to 2025
$3.3M
Microchip for HBV testing using HIV-infected blood samplesR01AI138800 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI SHAFIEE, HADI · 2019 to 2023
$3.1M
Rare sperm screening and retrieval with a domain-adaptive deep learning-enabled microwell system.R01HD115677 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI Martin Kathrins, Hadi Shafiee · 2024 to 2026
$2.2M
A mobile health diagnostic device for HIV self-testingR33AI140489 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI SHAFIEE, HADI · 2022 to 2023
$1.8M
A mobile health diagnostic device for HIV self-testingR61AI140489 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI SHAFIEE, HADI · 2019 to 2021
$1.6M
NHLBI NIH HHS U54 HL119145NIAID NIH HHS R01 AI138800NIAID NIH HHS R33 AI140489NIAID NIH HHS R61 AI140489NIBIB NIH HHS R01 EB033866NICHD NIH HHS R01 HD115677
6 · The paper itself

Abstract

Digital nucleic acid assays, known for their high sensitivity and specificity, typically rely on fluorescent readouts and expensive and complex nanowell manufacturing, which constrain their broader use in point-of-care (POC) application. Here, we introduce an alternative digital molecular diagnostics, termed dCRISTOR, by seamlessly integrating deactivated Cas9 (dCas9)-engineered micromotors, extraction-free loop-mediated isothermal amplification (LAMP), low-cost bright field microscopy, and deep learning-enabled image processing. The micromotor, composed of a polystyrene sphere attached to a magnetic bead, incorporates a dCas9 ribonucleoprotein complex. The presence of human immunodeficiency virus-1 (HIV-1) RNA in a sample results in the formation of large-sized amplicons that can be specifically captured by the micromotors, reducing their velocity induced by an external magnetic field. The micromotor is propelled by an external magnetic field, which eliminates the need for chemical fuels, reducing system complexity, and allowing for precise control over micromotor movement, enhancing accuracy and reliability. A convolutional neural network classification-based multiobject tracking algorithm, CNN-MOT, accurately measures the change in micromotor motion, facilitating the binary digital assay format ("1" or "0") for simplified result interpretation without user bias. Incorporating an extraction-free LAMP assay streamlines the dCRISTOR workflow, enabling qualitative HIV-1 detection in spiked plasma (

Indexed as

CRISPR-Associated Protein 9HIV-1Molecular Diagnostic TechniquesPoint-of-Care SystemsRNA, ViralHumansNucleic Acid Amplification TechniquesCRISPR-Associated Protein 9RNA, Viralartificial intelligence algorithmCRISPR-Cas systemdigital RNA testinghuman immunodeficiency virusloop-mediated isothermal amplificationmagnetic fieldmicromotor

Identifiers

PMID40017424
PMCPMC12498114

What OpenQuestion holds

Textmetadata
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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.