Evidence map›Paper›PMID 35450424›Full record

ArticlePNAS nexus2022

Multiplexed detection of bacterial nucleic acids using Cas13 in droplet microarrays.

Sri Gowtham Thakku, Cheri M Ackerman, Cameron Myhrvold, Roby P Bhattacharyya, Jonathan Livny, Peijun Ma, Giselle Isabella Gomez, Pardis C Sabeti, Paul C Blainey, Deborah T Hung

Abstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. [Research Progress on the Application of CRISPR/Cas System in Rapid Testing of Drug-Resistant Bacteria in Clinical Practice].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Review
  4. Droplet Digital CRISPR for Nucleic Acid Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. CRISPR/Cas diagnostics forFrontiers in bioengineering and biotechnology · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. A Guide to Biodetection in Droplets.Analytical chemistry · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Recent Advances in CRISPR-Cas Technologies for Synthetic Biology.Journal of microbiology (Seoul, Korea) · 2023
    Review
  14. Review
  15. 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

10 authors.

Sri Gowtham ThakkuBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Cheri M AckermanBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Cameron MyhrvoldBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Roby P BhattacharyyaBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID https://orcid.org/0000-0001-6955-5088
Jonathan LivnyBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Peijun MaBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Giselle Isabella GomezBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Pardis C SabetiBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Paul C BlaineyBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID https://orcid.org/0000-0002-4889-8783
Deborah T HungBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

Funding

Innovative technologies to transform antibiotic discovery. Project 4 Infection site-specific amplification of antimicrobial conjugatesU19AI142780 · NIAID · BROAD INSTITUTE, INC. · PI HUNG, DEBORAH T · 2019 to 2023
$33.9M
NIAID NIH HHS U19 AI142780
6 · The paper itself

Abstract

Rapid and accurate diagnosis of infections is fundamental to individual patient care and public health management. Nucleic acid detection methods are critical to this effort, but are limited either in the breadth of pathogens targeted or by the expertise and infrastructure required. We present here a high-throughput system that enables rapid identification of bacterial pathogens, bCARMEN, which utilizes: (1) modular CRISPR-Cas13-based nucleic acid detection with enhanced sensitivity and specificity; and (2) a droplet microfluidic system that enables thousands of simultaneous, spatially multiplexed detection reactions at nanoliter volumes; and (3) a novel preamplification strategy that further enhances sensitivity and specificity. We demonstrate bCARMEN is capable of detecting and discriminating 52 clinically relevant bacterial species and several key antibiotic resistance genes. We further develop a simple proof of principle workflow using stabilized reagents and cell phone camera optical readout, opening up the possibility of a rapid point-of-care multiplexed bacterial pathogen identification and antibiotic susceptibility testing.

Identifiers

PMID35450424
PMCPMC9013781

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.