Evidence map›Paper›PMID 29562890›Full record

ArticleBMC genomics2018

UDiTaS™, a genome editing detection method for indels and genome rearrangements.

Georgia Giannoukos, Dawn M Ciulla, Eugenio Marco, Hayat S Abdulkerim, Luis A Barrera, Anne Bothmer, Vidya Dhanapal, Sebastian W Gloskowski, Hariharan Jayaram, Morgan L Maeder and 4 more

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Structure-Guided Engineering of a Cas12i Nuclease Unlocks Near-PAMless Genome Editing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  11. Nonclinical evaluation of renizgamglogene autogedtemcel for SCD and TDT.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  12. Review
  13. Article
  14. Review
  15. Analyzing long-read CRISPR experiments with CRISPRLungo.bioRxiv : the preprint server for biology · 2025
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

37 more citing papers are in PubMed but not listed here.

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

14 authors.

Georgia GiannoukosEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Dawn M CiullaEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Eugenio MarcoEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Hayat S AbdulkerimEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Luis A BarreraEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Anne BothmerEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Vidya DhanapalEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Sebastian W GloskowskiEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Hariharan JayaramEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Morgan L MaederEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Maxwell N SkorEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Tongyao WangEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Vic E MyerEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA.
Christopher J WilsonEditas Medicine, 11 Hurley Street, Cambridge, MA, 02141, USA. christopher.wilson@editasmed.com.ORCID 0000-0002-9146-522X

Funding

Editas Medicine n/a
6 · The paper itself

Abstract

backgroundUnderstanding the diversity of repair outcomes after introducing a genomic cut is essential for realizing the therapeutic potential of genomic editing technologies. Targeted PCR amplification combined with Next Generation Sequencing (NGS) or enzymatic digestion, while broadly used in the genome editing field, has critical limitations for detecting and quantifying structural variants such as large deletions (greater than approximately 100 base pairs), inversions, and translocations.

resultsTo overcome these limitations, we have developed a Uni-Directional Targeted Sequencing methodology, UDiTaS, that is quantitative, removes biases associated with variable-length PCR amplification, and can measure structural changes in addition to small insertion and deletion events (indels), all in a single reaction. We have applied UDiTaS to a variety of samples, including those treated with a clinically relevant pair of S. aureus Cas9 single guide RNAs (sgRNAs) targeting CEP290, and a pair of S. pyogenes Cas9 sgRNAs at T-cell relevant loci. In both cases, we have simultaneously measured small and large edits, including inversions and translocations, exemplifying UDiTaS as a valuable tool for the analysis of genome editing outcomes.

conclusionsUDiTaS is a robust and streamlined sequencing method useful for measuring small indels as well as structural rearrangements, like translocations, in a single reaction. UDiTaS is especially useful for pre-clinical and clinical application of gene editing to measure on- and off-target editing, large and small.

Indexed as

CRISPR-Cas SystemsGene EditingGene RearrangementGenome, HumanINDEL MutationAntigens, NeoplasmBone NeoplasmsCell Cycle ProteinsCells, CulturedCytoskeletal ProteinsGenomicsHumansNeoplasm ProteinsOsteosarcomaSequence DeletionT-LymphocytesAntigens, NeoplasmCell Cycle ProteinsCep290 protein, humanCytoskeletal ProteinsNeoplasm ProteinsCRISPR/CAS9Gene editingNext generation sequencingNGSTranslocation detectionUDiTaS

Identifiers

PMID29562890
PMCPMC5861650

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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.