Evidence map›Paper›PMID 38216559›Full record

ArticleNature communications2024

Massively parallel profiling of RNA-targeting CRISPR-Cas13d.

Hung-Che Kuo, Joshua Prupes, Chia-Wei Chou, Ilya J Finkelstein

Abstract read
In one paragraph

Article in Nature communications, 2024. 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
–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

18 citing papers in PubMed.

  1. Review
  2. Cap-Independent Translation Regulation of VEGF Using CRISPR-dCas13d.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Machine Learning for CRISPR-Based Diagnostics.International journal of molecular sciences · 2026
    Review
  5. Article
  6. Article
  7. A Modular and Programmable Cas13d Platform for RNA Single Nucleotide Variant Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. RNA structure modulates Cas13 activity and enables mismatch detection.bioRxiv : the preprint server for biology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hung-Che KuoDepartment of Molecular Biosciences and Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, 78712, USA. hckuo@utexas.edu.
Joshua PrupesDepartment of Molecular Biosciences and Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, 78712, USA.
Chia-Wei ChouDepartment of Molecular Biosciences and Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, 78712, USA.ORCID 0000-0001-9618-338X
Ilya J FinkelsteinDepartment of Molecular Biosciences and Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, 78712, USA. ilya@finkelsteinlab.org.ORCID 0000-0002-9371-2431

Funding

Mechanism, specificity, and design of CRISPR RNA-mediated gene regulationR01GM124141 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI FINKELSTEIN, ILYA J · 2017 to 2020
$1.2M
College of Natural SciencesNIGMS NIH HHS R01 GM124141Welch Foundation
6 · The paper itself

Abstract

CRISPR-Cas13d cleaves RNA and is used in vivo and for diagnostics. However, a systematic understanding of its RNA binding and cleavage specificity is lacking. Here, we describe an RNA Chip-Hybridized Association-Mapping Platform (RNA-CHAMP) for measuring the binding affinity for > 10,000 RNAs containing structural perturbations and other alterations relative to the CRISPR RNA (crRNA). Deep profiling of Cas13d reveals that it does not require a protospacer flanking sequence but is exquisitely sensitive to secondary structure within the target RNA. Cas13d binding is penalized by mismatches in the distal crRNA-target RNA region, while alterations in the proximal region inhibit nuclease activity. A biophysical model built from these data reveals that target recognition initiates in the distal end of the target RNA. Using this model, we design crRNAs that can differentiate between SARS-CoV-2 variants by modulating nuclease activation. This work describes the key determinants of RNA targeting by a type VI CRISPR enzyme.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsRNACRISPR-Cas SystemsEndonucleasesRNA, Guide, CRISPR-Cas SystemsEndonucleasesRNARNA, Guide, CRISPR-Cas Systems

Identifiers

PMID38216559
PMCPMC10786891

What OpenQuestion holds

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Registered trials

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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.