Evidence map›Paper›PMID 37684258›Full record

ArticleScientific reports2023

Discrepancies in indel software resolution with somatic CRISPR/Cas9 tumorigenesis models.

Qierra R Brockman, Amanda Scherer, Gavin R McGivney, Wade R Gutierrez, Jeffrey Rytlewski, Alexa Sheehan, Akshaya Warrier, Emily A Laverty, Grace Roughton, Nina C Carnevale and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. DNA-free CRISPR genome editing in raspberry (Frontiers in genome editing · 2025
    Article
  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

12 authors at 1 institution in 1 country.

Qierra R BrockmanDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA.
Amanda SchererDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA.
Gavin R McGivneyDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA.
Wade R GutierrezDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA.
Jeffrey RytlewskiDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA.
Alexa SheehanDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA.
Akshaya WarrierCancer Biology Training Program, University of Iowa, Iowa City, IA, USA.
Emily A LavertyDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA.
Grace RoughtonDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA.
Nina C CarnevaleDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA.
Vickie Knepper-AdrianDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA.
Rebecca D DoddDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, 375 Newton Rd, 5206 MERF, Iowa City, IA, 52246, USA. rebecca-dodd@uiowa.edu.
University of Iowa · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
HARVARD-LONGWOOD RESEARCH TRAINING IN VASCULAR SURGERYT32HL007734 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI FERRAN, CHRISTIANE, LOGERFO, FRANK W · 1993 to 2023
$10.5M
PROGRAM IN HEMOSTASIS AND THROMBOSIS FOR ACADEMICT32HL007344 · NHLBI · UNIVERSITY OF IOWA · PI Anil Kumar Chauhan, Steven R Lentz · 1985 to 2026
$6.5M
TRAINING PROGRAM IN FREE RADICAL AND RADIATION BIOLOGYT32CA078586 · NCI · UNIVERSITY OF IOWA · PI SPITZ, DOUGLAS ROBERT · 1999 to 2024
$5.7M
Ink4a/ARF/Ink4b locus in Neurofibromatosis Type 1R01NS119322 · NINDS · UNIVERSITY OF IOWA · PI Benjamin Will Darbro, Rebecca D Dodd · 2022 to 2026
$2.6M
NCI NIH HHS P30 CA086862NCI NIH HHS T32 CA078586NHLBI NIH HHS T32 HL007344NHLBI NIH HHS T32 HL007734NINDS NIH HHS R01 NS119322
6 · The paper itself

Abstract

CRISPR/Cas9 gene editing has evolved from a simple laboratory tool to a powerful method of in vivo genomic engineering. As the applications of CRISPR/Cas9 technology have grown, the need to characterize the breadth and depth of indels generated by editing has expanded. Traditionally, investigators use one of several publicly-available platforms to determine CRISPR/Cas9-induced indels in an edited sample. However, to our knowledge, there has not been a cross-platform comparison of available indel analysis software in samples generated from somatic in vivo mouse models. Our group has pioneered using CRISPR/Cas9 to generate somatic primary mouse models of malignant peripheral nerve sheath tumors (MPNSTs) through genetic editing of Nf1. Here, we used sequencing data from the in vivo editing of the Nf1 gene in our CRISPR/Cas9 tumorigenesis model to directly compare results across four different software platforms. By analyzing the same genetic target across a wide panel of cell lines with the same sequence file, we are able to draw systematic conclusions about the differences in these software programs for analysis of in vivo-generated indels. Surprisingly, we report high variability in the reported number, size, and frequency of indels across each software platform. These data highlight the importance of selecting indel analysis platforms specific to the context that the gene editing approach is being applied. Taken together, this analysis shows that different software platforms can report widely divergent indel data from the same sample, particularly if larger indels are present, which are common in somatic, in vivo CRISPR/Cas9 tumor models.

Indexed as

CarcinogenesisCRISPR-Cas SystemsAnimalsCell LineCell Transformation, NeoplasticMiceSoftware

Identifiers

PMID37684258
PMCPMC10491828
OpenAlexW4386564020

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.