Evidence map›Paper›PMID 33597771›Full record

ArticleNature protocols2021

Simple and reliable detection of CRISPR-induced on-target effects by qgPCR and SNP genotyping.

Isabel Weisheit, Joseph A Kroeger, Rainer Malik, Benedikt Wefers, Peter Lichtner, Wolfgang Wurst, Martin Dichgans, Dominik Paquet

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Non-microglial downregulation ofbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors at 4 institutions in 1 country.

Isabel WeisheitInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
Joseph A KroegerInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
Rainer MalikInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
Benedikt WefersGerman Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-2492-9389
Peter LichtnerCore Facility NGS, HelmholtzZentrum München, Neuherberg, Germany.
Wolfgang WurstGerman Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany.
Martin DichgansInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
Dominik PaquetInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany. dominik.paquet@med.uni-muenchen.de.ORCID http://orcid.org/0000-0003-2065-1639
German Center for Neurodegenerative Diseases · DELMU Klinikum · DEHelmholtz Zentrum München · DEMedigene (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent CRISPR revolution has provided researchers with powerful tools to perform genome editing in a variety of organisms. However, recent reports indicate widespread occurrence of unintended CRISPR-induced on-target effects (OnTEs) at the edited site in mice and human induced pluripotent stem cells (iPSCs) that escape standard quality controls. By altering gene expression of targeted or neighbouring genes, OnTEs can severely affect phenotypes of CRISPR-edited cells and organisms and thus lead to data misinterpretation, which can undermine the reliability of CRISPR-based studies. Here we describe a broadly applicable framework for detecting OnTEs in genome-edited cells and organisms after non-homologous end joining-mediated and homology-directed repair-mediated editing. Our protocol enables identification of OnTEs such as large deletions, large insertions, rearrangements or loss of heterozygosity (LOH). This is achieved by subjecting genomic DNA first to quantitative genotyping PCR (qgPCR), which determines the number of intact alleles at the target site using the same PCR amplicon that has been optimized for genotyping. This combination of genotyping and quantitation makes it possible to exclude clones with monoallelic OnTEs and hemizygous editing, which are often mischaracterized as correctly edited in standard Sanger sequencing. Second, occurrence of LOH around the edited locus is detected by genotyping neighbouring single-nucleotide polymorphisms (SNPs), using either a Sanger sequencing-based method or SNP microarrays. All steps are optimized to maximize simplicity and minimize cost to promote wide dissemination and applicability across the field. The entire protocol from genomic DNA extraction to OnTE exclusion can be performed in 6-9 d.

Indexed as

AnimalsBase SequenceClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDNA End-Joining RepairGene EditingGenetic EngineeringGenotypeHumansInduced Pluripotent Stem CellsPolymorphism, Single NucleotideReproducibility of ResultsRNA, Guide, CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID33597771
OpenAlexW3129965938

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.