Evidence map›Paper›PMID 38276232›Full record

ArticleJournal of personalized medicine2024

Monitoring Genomic Structural Rearrangements Resulting from Gene Editing.

Susan M Bailey, Erin M Cross, Lauren Kinner-Bibeau, Henry C Sebesta, Joel S Bedford, Christopher J Tompkins

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Progresses of transposon research inSynthetic and systems biotechnology · 2026
    Review
  2. Article
  3. 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

6 authors.

Susan M BaileyDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Erin M CrossKromaTiD, Inc., Longmont, CO 80501, USA.
Lauren Kinner-BibeauKromaTiD, Inc., Longmont, CO 80501, USA.
Henry C SebestaKromaTiD, Inc., Longmont, CO 80501, USA.
Joel S BedfordDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Christopher J TompkinsKromaTiD, Inc., Longmont, CO 80501, USA.

Funding

KromaTiD (United States) none
6 · The paper itself

Abstract

The cytogenomics-based methodology of directional genomic hybridization (dGH) enables the detection and quantification of a more comprehensive spectrum of genomic structural variants than any other approach currently available, and importantly, does so on a single-cell basis. Thus, dGH is well-suited for testing and/or validating new advancements in CRISPR-Cas9 gene editing systems. In addition to aberrations detected by traditional cytogenetic approaches, the strand specificity of dGH facilitates detection of otherwise cryptic intra-chromosomal rearrangements, specifically small inversions. As such, dGH represents a powerful, high-resolution approach for the quantitative monitoring of potentially detrimental genomic structural rearrangements resulting from exposure to agents that induce DNA double-strand breaks (DSBs), including restriction endonucleases and ionizing radiations. For intentional genome editing strategies, it is critical that any undesired effects of DSBs induced either by the editing system itself or by mis-repair with other endogenous DSBs are recognized and minimized. In this paper, we discuss the application of dGH for assessing gene editing-associated structural variants and the potential heterogeneity of such rearrangements among cells within an edited population, highlighting its relevance to personalized medicine strategies.

Indexed as

chromosome aberrationsdirectional genomic hybridizationDNA repairgene editingstructural variants

Identifiers

PMID38276232
PMCPMC10817574

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.