ArticleCell reports2020
Detection of Marker-Free Precision Genome Editing and Genetic Variation through the Capture of Genomic Signatures.
Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Compound delivery of eVLPs enhances prime editing for targeted genome engineering and high-throughput screening.Cell genomics · 2026Article
- CHD6 has poly(ADP-ribose)- and DNA-binding domains and regulates PARP1/2-trapping inhibitor sensitivity via abasic site repair.Nature communications · 2025Article
- Do not overlook the possibility of genome-edited somatic cells ending up in the human germline.Journal of community genetics · 2024Article
- A protocol for the detection of precision genome editing in human cells using One-pot DTECT.STAR protocols · 2024Article
- One-pot DTECT enables rapid and efficient capture of genetic signatures for precision genome editing and clinical diagnostics.Cell reports methods · 2024Article
- Current advancement in the application of prime editing.Frontiers in bioengineering and biotechnology · 2023Review
- CRISPR-based genome editing through the lens of DNA repair.Molecular cell · 2022Review
- Precise genome engineering inProceedings of the National Academy of Sciences of the United States of America · 2021Article
- CRISPR-based strategies for targeted transgene knock-in and gene correction.Faculty reviews · 2020Review
- Gene editing strategies to address current challenges in stem cell-derived β cell therapy for type 1 Diabetes.Journal of tissue engineeringReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 7 institutions in 2 countries.
Funding
Abstract
Genome editing technologies have transformed our ability to engineer desired genomic changes within living systems. However, detecting precise genomic modifications often requires sophisticated, expensive, and time-consuming experimental approaches. Here, we describe DTECT (Dinucleotide signaTurE CapTure), a rapid and versatile detection method that relies on the capture of targeted dinucleotide signatures resulting from the digestion of genomic DNA amplicons by the type IIS restriction enzyme AcuI. DTECT enables the accurate quantification of marker-free precision genome editing events introduced by CRISPR-dependent homology-directed repair, base editing, or prime editing in various biological systems, such as mammalian cell lines, organoids, and tissues. Furthermore, DTECT allows the identification of oncogenic mutations in cancer mouse models, patient-derived xenografts, and human cancer patient samples. The ease, speed, and cost efficiency by which DTECT identifies genomic signatures should facilitate the generation of marker-free cellular and animal models of human disease and expedite the detection of human pathogenic variants.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.