ReviewTrends in molecular medicine2015
Modeling Disease In Vivo With CRISPR/Cas9.
Review in Trends in molecular medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 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
55 citing papers in PubMed.
- Hydrogel platforms for 3D cardiac tissue engineering and fibrotic disease modelling.FEBS open bio · 2026Review
- Efficient and multiplexed somatic genome editing with Cas12a mice.Nature biomedical engineering · 2025Article
- Functional analysis of the intracellular survival ofJournal of bacteriology · 2025Article
- Conditional knockout mouse model reveals a critical role of peroxiredoxin 1 in oral leukoplakia carcinogenesis.Heliyon · 2024Article
- CRISPR/Cas9 bioluminescence-based assay for monitoring CFTR trafficking to the plasma membrane.Life science alliance · 2024Article
- Need of orthogonal approaches in neurological disease modeling in mouse.Frontiers in molecular neuroscience · 2024Review
- Generation of Mouse Model of Hemophilia A by Introducing Novel Mutations, Using CRISPR/Nickase Gene Targeting System.Cell journal · 2023Article
- CRISPR/Cas-mediated genome editing in mice for the development of drug delivery mechanism.Molecular biology reports · 2023Review
- Dissecting metastasis using preclinical models and methods.Nature reviews. Cancer · 2023Review
- CRISPR/Cas9 assisted stem cell therapy in Parkinson's disease.Biomaterials research · 2023Review
- Review
- Role of animal models in biomedical research: a review.Laboratory animal research · 2022Review
- How to Improve SBRT Outcomes in NSCLC: From Pre-Clinical Modeling to Successful Clinical Translation.Cancers · 2022Review
- Hepatic fibrosis 2022: Unmet needs and a blueprint for the future.Hepatology (Baltimore, Md.) · 2022Review
- Computational Approaches for Designing Highly Specific and Efficient sgRNAs.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Lipid- and Polymer-Based Nanoparticle Systems for the Delivery of CRISPR/Cas9.Journal of drug delivery science and technology · 2021Article
- Modeling metastasis in mice: a closer look.Trends in cancer · 2021Review
- A Consensus Model of Homology-Directed Repair Initiated by CRISPR/Cas Activity.International journal of molecular sciences · 2021Review
- A cell cycle-dependent CRISPR-Cas9 activation system based on an anti-CRISPR protein shows improved genome editing accuracy.Communications biology · 2020Article
- Breast cancer animal models and applications.Zoological research · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The recent advent of CRISPR/Cas9-mediated genome editing has created a wave of excitement across the scientific research community, carrying the promise of simple and effective genomic manipulation of nearly any cell type. CRISPR has quickly become the preferred tool for genetic manipulation, and shows incredible promise as a platform for studying gene function in vivo. I discuss the current application of CRISPR technology to create new in vivo disease models, with a particular focus on how these tools, derived from an adaptive bacterial immune system, are helping us to better model the complexity of human cancer.
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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.