Evidence map›Paper›PMID 30610632›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

Knocking Out MicroRNA Genes in Rice with CRISPR-Cas9.

Jianping Zhou, Zhaohui Zhong, Hongqiao Chen, Qian Li, Xuelian Zheng, Yiping Qi, Yong Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 2 institutions in 2 countries.

Jianping ZhouDepartment of Biotechnology, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
Zhaohui ZhongDepartment of Biotechnology, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
Hongqiao ChenDepartment of Biotechnology, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
Qian LiDepartment of Biotechnology, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
Xuelian ZhengDepartment of Biotechnology, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
Yiping QiDepartment of Plant Science and Landscape Architecture, University of Maryland, College Park, MD, USA.
Yong ZhangDepartment of Biotechnology, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China. zhangyong916@uestc.edu.cn.
University of Electronic Science and Technology of China · CNInstitute for Bioscience and Biotechnology Research

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are small noncoding RNAs that play important roles in plant development and stress responses. Loss-of-function analysis of miRNA genes has been traditionally challenging due to lack of appropriate knockout tools. In this chapter, we describe a method of using CRISPR-Cas9 for knocking out microRNA genes in rice by Agrobacterium-mediated transformation. We also demonstrate single-strand conformation polymorphism (SSCP) as an effective genotyping method for screening CRISPR-Cas9-induced mutations.

Indexed as

CRISPR-Cas SystemsGenome, PlantMicroRNAsOryzaMicroRNAsCRISPR-Cas9Genome editingMicroRNAsRiceSSCP

Identifiers

PMID30610632
OpenAlexW2907307703

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.