Evidence map›Paper›PMID 34152211›Full record

ArticleThe CRISPR journal2021

Identification and Evolution of Cas9 tracrRNAs.

Shane K Dooley, Erica K Baken, Walter N Moss, Adina Howe, Joshua K Young

Abstract read
In one paragraph

Article in The CRISPR journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The tracrRNA in CRISPR Biology and Technologies.Annual review of genetics · 2021
    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

5 authors.

Shane K DooleyDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa, USA; Johnston, Iowa, USA.
Erica K BakenDepartment of Science, Chatham University, Pittsburgh, Pennsylvania, USA; Johnston, Iowa, USA.
Walter N MossDepartment of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, USA; and Johnston, Iowa, USA.
Adina HoweDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa, USA; Johnston, Iowa, USA.
Joshua K YoungDepartment of Molecular Engineering, Corteva AgriscienceJohnston, TM, Johnston, Iowa, USA.ORCID 0000-0002-6237-8020

Funding

Finding, folding and characterizing the functions of disease-relevant RNA structuresR01GM133810 · NIGMS · IOWA STATE UNIVERSITY · PI Walter Moss · 2019 to 2026
$2.8M
NIGMS NIH HHS R01 GM133810
6 · The paper itself

Abstract

Clustered regularly interspaced palindromic repeats (CRISPR)-associated (Cas)9 transactivating CRISPR RNAs (tracrRNAs) form distinct structures essential for target recognition and cleavage and dictate exchangeability between orthologous proteins. As noncoding RNAs that are often apart from the CRISPR array, their identification can be arduous. In this article, a new bioinformatic method for the detection of Cas9 tracrRNAs is presented. The approach utilizes a covariance model based on both sequence homology and predicted secondary structure to locate tracrRNAs. This method predicts a tracrRNA for 98% of CRISPR-Cas9 systems identified by us. To ensure accuracy, we also benchmark our approach against biochemically vetted tracrRNAs finding false-positive and false-negative rates of 5.5% and 7.1%, respectively. Finally, the association between Cas9 amino acid sequence-based phylogeny and tracrRNA secondary structure is evaluated, revealing strong evidence that secondary structure is evolutionarily conserved among Cas9 lineages. Altogether, our findings provide insight into Cas9 tracrRNA evolution and efforts to characterize the tracrRNA of Cas9 systems.

Indexed as

CRISPR-Cas SystemsEvolution, MolecularArchaeaBacteriaClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Associated ProteinsPhylogenyRNARNA, Guide, CRISPR-Cas SystemsSequence HomologyCRISPR-Associated ProteinsRNARNA, Guide, CRISPR-Cas Systems

Identifiers

PMID34152211
PMCPMC8336202

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.