Evidence map›Paper›PMID 35664829›Full record

ArticleCell genomics2021

Transcriptome-wide Cas13 guide RNA design for model organisms and viral RNA pathogens.

Xinyi Guo, Jahan A Rahman, Hans-Hermann Wessels, Alejandro Méndez-Mancilla, Daniel Haro, Xinru Chen, Neville E Sanjana

Open access · goldAbstract read
In one paragraph

Article in Cell genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
3.7field-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

55 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
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  3. Review
  4. mThe EMBO journal · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Scaling perturbations: beyond genome-scale CRISPR screens.bioRxiv : the preprint server for biology · 2026
    Article
  9. Review
  10. Article
  11. Precise RNA targeting with CRISPR-Cas13d.Nature biotechnology · 2026
    Article
  12. Review
  13. Article
  14. Article
  15. Leveraging CRISPR-Cas13d in an inducible knockdown system to interrogatebioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. TargetingJournal of the American Heart Association · 2025
    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

7 authors at 2 institutions in 1 country.

Xinyi GuoNew York Genome Center, New York, NY 10013, USA.
Jahan A RahmanNew York Genome Center, New York, NY 10013, USA.
Hans-Hermann WesselsNew York Genome Center, New York, NY 10013, USA.
Alejandro Méndez-MancillaNew York Genome Center, New York, NY 10013, USA.
Daniel HaroNew York Genome Center, New York, NY 10013, USA.
Xinru ChenNew York Genome Center, New York, NY 10013, USA.
Neville E SanjanaNew York Genome Center, New York, NY 10013, USA.
New York Genome Center · USNew York University · US

Funding

Predicting the functional impact of non-coding mutations using patient-specific gene regulatory networksR01CA218668 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI EKTA KHURANA, Neville Sanjana · 2018 to 2026
$4.7M
In situ functional genomics to understand transcriptional regulationDP2HG010099 · NHGRI · NEW YORK GENOME CENTER · PI SANJANA, NEVILLE · 2017 to 2022
$4.4M
NCI NIH HHS R01 CA218668NHGRI NIH HHS DP2 HG010099
6 · The paper itself

Abstract

The recent characterization of RNA-targeting CRISPR nucleases has enabled diverse transcriptome engineering and screening applications that depend crucially on prediction and selection of optimized CRISPR guide RNAs (gRNAs). Previously, we developed a computational model to predict

Identifiers

PMID35664829
PMCPMC9164475
OpenAlexW3196352794

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.