4.3 Article

Nucleic Acid Detection of Plant Genes Using CRISPR-Cas13

期刊

CRISPR JOURNAL
卷 2, 期 3, 页码 165-171

出版社

MARY ANN LIEBERT, INC
DOI: 10.1089/crispr.2019.0011

关键词

-

资金

  1. Paul and Daisy Soros Fellowship
  2. NIH [F30 NRSA 1F30-CA210382, 1R01-HG009761, 1R01-MH110049, 1DP1-HL141201]
  3. Howard Hughes Medical Institute
  4. New York Stem Cell and Mathers Foundations
  5. Poitras Center for Affective Disorders Research at MIT
  6. Hock E. Tan and K. Lisa Yang Center for Autism Research at MIT

向作者/读者索取更多资源

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 (similar to 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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据