Evidence map›Paper›PMID 31139538›Full record

Article3 Biotech2019

An overview of designing and selection of sgRNAs for precise genome editing by the CRISPR-Cas9 system in plants.

Ajay Prakash Uniyal, Komal Mansotra, Sudesh Kumar Yadav, Vinay Kumar

Abstract read
In one paragraph

Article in 3 Biotech, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Validation of CRISPR construct activity and gene function in melon via a hairy root transformation system.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
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  14. Article
  15. Article
  16. CRISPR-mediated promoter editing of aFrontiers in genome editing · 2023
    Article
  17. The landscape of CRISPR/Cas9 for inborn errors of metabolism.Molecular genetics and metabolism · 2023
    Review
  18. Review
  19. Article
  20. 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

4 authors.

Ajay Prakash Uniyal1Department of Plant Sciences, School for Basic and Applied Sciences, Central University of Punjab, Bathinda, 161001 India.
Komal Mansotra1Department of Plant Sciences, School for Basic and Applied Sciences, Central University of Punjab, Bathinda, 161001 India.
Sudesh Kumar YadavCenter of Innovative and Applied Biotechnology, Mohali, 140306 India.
Vinay Kumar1Department of Plant Sciences, School for Basic and Applied Sciences, Central University of Punjab, Bathinda, 161001 India.ORCID 0000-0003-0077-0956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of computational tools have been documented in recent years for identification of target-specific valid single-guide (sg) RNAs (18-20 nucleotide long sequence) that is an important component for the efficient utilization of the CRISPR-Cas9 (clustered regularly interspaced short palindromic repeats-CRISPR-associated Protein) system. Despite optimization of Cas9, other major concerns are on-target efficiency and off-target activity that depend upon the sequence(s) of target-specific sgRNA(s). However, a very little attention has been paid for identification of the best-hit sgRNA for precise targeting as well as minimizing the off-target effects. The aim of this present work is to offer comparative insight into existing CRISPR software tools with their unique features (including targeted genome) and utilities. These available web tools were found to be designed based upon only a few limited mathematical models. Among all these available web tools, three (Benchling, Desktop and CRISPR-P) have been curated as exclusively available for plant genome-editing purpose. These three software tools have been comprehensively described and analyzed with single same target enquiry from two randomly selected genes (

Indexed as

CRISPR-Cas9Genome editingPlantssgRNAWeb tools

Identifiers

PMID31139538
PMCPMC6529479

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.