Evidence map›Paper›PMID 35481279›Full record

ArticleFrontiers in genome editing2022

Predictable NHEJ Insertion and Assessment of HDR Editing Strategies in Plants.

Kutubuddin A Molla, Justin Shih, Matthew S Wheatley, Yinong Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genome editing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  4. Gene Editing inJournal of fungi (Basel, Switzerland) · 2025
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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

4 authors at 2 institutions in 2 countries.

Kutubuddin A MollaDepartment of Plant Pathology and Environmental Microbiology and the Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States.
Justin ShihDepartment of Plant Pathology and Environmental Microbiology and the Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States.
Matthew S WheatleyDepartment of Plant Pathology and Environmental Microbiology and the Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States.
Yinong YangDepartment of Plant Pathology and Environmental Microbiology and the Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States.
Pennsylvania State University · USCentral Rice Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canonical CRISPR-Cas9 genome editing technique has profoundly impacted the fields of plant biology, biotechnology, and crop improvement. Since non-homologous end joining (NHEJ) is usually considered to generate random indels, its high efficiency mutation is generally not pertinent to precise editing. Homology-directed repair (HDR) can mediate precise editing with supplied donor DNA, but it suffers from extreme low efficiency in higher plants. Therefore, precision editing in plants will be facilitated by the ability to predict NHEJ repair outcome and to improve HDR efficiency. Here, we report that NHEJ-mediated single nucleotide insertion at different rice genes is predictable based on DNA sequences at the target loci. Three mutation prediction tools (inDelphi, FORECasT, and SPROUT) have been validated in the rice plant system. We also evaluated the chimeric guide RNA (cgRNA) and Cas9-Retron precISe Parallel Editing via homologY (CRISPEY) strategies to facilitate donor template supply for improving HDR efficiency in

Indexed as

CRISPR-Cas9genome editingguide RNA engineeringhomology-directed repairNHEJ predictionnon-homologous end joining

Identifiers

PMID35481279
PMCPMC9037586
OpenAlexW4221018863

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.