Evidence map›Paper›PMID 34055482›Full record

ArticlePeerJ2021

Evaluating the cleavage efficacy of CRISPR-Cas9 sgRNAs targeting ineffective regions of

Afsheen Malik, Alvina Gul, Faiza Munir, Rabia Amir, Hadi Alipour, Mustafeez Mujtaba Babar, Syeda Marriam Bakhtiar, Rehan Zafar Paracha, Zoya Khalid, Muhammad Qasim Hayat

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 5 institutions in 2 countries.

Afsheen MalikDepartment of Plant Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.
Alvina GulDepartment of Plant Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.
Faiza MunirDepartment of Plant Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.
Rabia AmirDepartment of Plant Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.
Hadi AlipourDepartment of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, Urmia University, Urmia, Iran.
Mustafeez Mujtaba BabarShifa College of Pharmaceutical Sciences, Shifa Tameer-e-Millat University, Islamabad, Pakistan.
Syeda Marriam BakhtiarDepartment of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan.
Rehan Zafar ParachaResearch Center for Modeling and Simulation, National University of Sciences and Technology, Islamabad, Pakistan.
Zoya KhalidComputational Biology Research Lab, Department of Computer Science, National University of Computer and Emerging Sciences-FAST, Islamabad, Pakistan.
Muhammad Qasim HayatDepartment of Plant Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.
National University of Sciences and Technology · PKCapital University of Science and Technology · PKNational University of Computer and Emerging Sciences · PKShifa Tameer-e-Millat University · PKUrmia University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The CRISPR-Cas9 system has recently evolved as a powerful mutagenic tool for targeted genome editing. The impeccable functioning of the system depends on the optimal design of single guide RNAs (sgRNAs) that mainly involves sgRNA specificity and on-target cleavage efficacy. Several research groups have designed algorithms and models, trained on mammalian genomes, for predicting sgRNAs cleavage efficacy. These models are also implemented in most plant sgRNA design tools due to the lack of on-target cleavage efficacy studies in plants. However, one of the major drawbacks is that almost all of these models are biased for considering only coding regions of the DNA while excluding ineffective regions, which are of immense importance in functional genomics studies especially for plants, thus making prediction less reliable. In the present study, we evaluate the on-target cleavage efficacy of experimentally validated sgRNAs designed against diverse ineffective regions of

Indexed as

Arabidopsis thalianaCleavage efficacyCRISPR-Cas9Genome editingIneffective regionNon-coding regionsgRNA design tool

Identifiers

PMID34055482
PMCPMC8142926
OpenAlexW3164012913

What OpenQuestion holds

Textmetadata
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.