Evidence map›Paper›PMID 35325432›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

A Method to Reduce off-Targets in CRISPR/Cas9 System in Plants.

Ali Movahedi, Zahra Hajiahmadi, Hui Wei, Liming Yang, Honghua Ruan, Qiang Zhuge

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Ali MovahediCo-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of Forest Genetics & Biotechnology, Ministry of Education, Nanjing Forestry University, Nanjing, China. ali_movahedi@njfu.edu.cn.
Zahra HajiahmadiDepartment of Biotechnology, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran.
Hui WeiCo-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of Forest Genetics & Biotechnology, Ministry of Education, Nanjing Forestry University, Nanjing, China.
Liming YangCo-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of Forest Genetics & Biotechnology, Ministry of Education, Nanjing Forestry University, Nanjing, China.
Honghua RuanCo-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of Forest Genetics & Biotechnology, Ministry of Education, Nanjing Forestry University, Nanjing, China.
Qiang ZhugeCo-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of Forest Genetics & Biotechnology, Ministry of Education, Nanjing Forestry University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the strategies to reduce the off-target mutations in CRISPR/Cas9 system is to use the temperature-independent gene transformation method. Mesoporous silica nanoparticles (MSNs)-gene delivery system is temperature-independent; thus, it can transfer the interesting plasmid (pDNA) to the target plant at different temperatures, including 37 °C. Due to the high activity of SpCas9 at 37 °C compared to lower temperatures, on-target mutagenesis increases at 37 °C. Therefore, we describe the synthesis of the functionalized MSNs with the particle size of less than 40 nm, binding pDNA to the MSNs, and transferring of the pDNA-MSNs into the target plants.

Indexed as

CRISPR-Cas SystemsSilicon DioxideMutagenesisMutationPlasmidsSilicon DioxideCas9CRISPRMesoporous silica nanoparticlesOn-target mutationpDNA-MSNs deliveryTemperature-independent gene transformation method

Identifiers

PMID35325432

What OpenQuestion holds

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Registered trials

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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.