Evidence map›Paper›PMID 31312414›Full record

ReviewComputational and structural biotechnology journal2019

Progress and Challenges: Development and Implementation of CRISPR/Cas9 Technology in Filamentous Fungi.

Qiang Wang, Jeffrey J Coleman

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

44 citing papers in PubMed, 88 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Article
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  8. Article
  9. Review
  10. Review
  11. Advances in CRISPR/Cas9-Based Gene Editing in Filamentous Fungi.Journal of fungi (Basel, Switzerland) · 2025
    Review
  12. Towards engineering agaricomycete fungi for terpenoid production.Journal of industrial microbiology & biotechnology · 2024
    Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Secondary Metabolites Produced by the Blue-Cheese Ripening MoldJournal of fungi (Basel, Switzerland) · 2023
    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

2 authors at 1 institution in 1 country.

Qiang WangDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849, United States of America.
Jeffrey J ColemanDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849, United States of America.
Auburn University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Widely distributed in various environmental niches, filamentous fungi play an important role in industry, drug development, and plant/animal health. Manipulation of the genome and the coding sequences are essential for a better understanding of the function of genes and their regulation, but traditional genetic approaches in some filamentous fungi are either inefficient or nonfunctional. The rapid development and wide implementation of CRISPR/Cas9 (clustered regularly interspaced short palindromic repeats /(CRISPR)-associated protein-9 nuclease) technology for various model and non-model organisms has provided the initial framework to adapt this gene editing technology for filamentous fungi. In this review, an overview of the CRISPR/Cas9 tools and strategies that have been developed for different filamentous fungi is presented, including integration of the

Indexed as

Cas9CRISPRFilamentous fungusGene deletionProtoplastSecondary metaboliteTransformation

Identifiers

PMID31312414
PMCPMC6607083
OpenAlexW2953010317

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.