Evidence map›Paper›PMID 31225754›Full record

ArticleThe CRISPR journal2019

Nucleic Acid Detection of Plant Genes Using CRISPR-Cas13.

Omar O Abudayyeh, Jonathan S Gootenberg, Max J Kellner, Feng Zhang

Abstract read
In one paragraph

Article in The CRISPR journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. CRISPR/Cas13 sgRNA-Mediated RNA-RNA Interaction Mapping in Live Cells with APOBEC RNA Editing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  9. Review
  10. Article
  11. Recent progress on rapid diagnosis of COVID-19 by point-of-care testing platforms.Chinese chemical letters = Zhongguo hua xue kuai bao · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. CRISPR-Based Genome Editing and Its Applications in Woody Plants.International journal of molecular sciences · 2022
    Review
  17. Review
  18. Article
  19. Next-Generation Diagnostic with CRISPR/Cas: Beyond Nucleic Acid Detection.International journal of molecular sciences · 2022
    Review
  20. 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

4 authors.

Omar O Abudayyeh1 Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Jonathan S Gootenberg1 Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Max J Kellner1 Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Feng Zhang1 Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Harvard Medical School, Boston, Massachusetts.

Funding

Programmable RNA-targeting toolsR01HG009761 · NHGRI · BROAD INSTITUTE, INC. · PI ZHANG, FENG · 2017 to 2024
$7.5M
Exploration of Diverse Mobile Genetic Elements for Precision Genome ManipulationDP1HL141201 · NHLBI · BROAD INSTITUTE, INC. · PI ZHANG, FENG · 2017 to 2021
$6.2M
Massively-parallel functional interrogation of psychiatric geneticsR01MH110049 · NIMH · BROAD INSTITUTE, INC. · PI ZHANG, FENG · 2015 to 2019
$5.5M
Characterization of a novel RNA-guided endoRNAse and applications towards genome-wide screening for non-coding RNA roles in melanoma resistanceF30CA210382 · NCI · HARVARD MEDICAL SCHOOL · PI ABUDAYYEH, OMAR O · 2016 to 2018
$78k
Howard Hughes Medical InstituteNCI NIH HHS F30 CA210382NHGRI NIH HHS R01 HG009761NHLBI NIH HHS DP1 HL141201NIMH NIH HHS R01 MH110049
6 · The paper itself

Abstract

Nucleic acid detection is vital for agricultural applications including trait detection during breeding, pest surveillance, and pathogen identification. Here, we use a modified version of the CRISPR-based nucleic acid detection platform SHERLOCK to quantify levels of a glyphosate resistance gene in a mixture of soybeans and to detect multiple plant genes in a single reaction. SHERLOCK is rapid (∼15 min), quantitative, and portable, and can process crude soybean extracts as input material for minimal nucleic acid sample preparation. This field-ready SHERLOCK platform with color-based lateral flow readout can be applied for detection and quantitation of genes in a range of agricultural applications.

Indexed as

CRISPR-Cas SystemsGenes, PlantDNA, PlantEndodeoxyribonucleasesGenetic TestingGlycine maxDNA, PlantEndodeoxyribonucleases

Identifiers

PMID31225754
PMCPMC7001462

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.