ArticleInternational journal of molecular sciences2023
A Lipid Nanoparticle-Based Method for the Generation of Liver-Specific Knockout Mice.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed, 2 citations in OpenAlex.
- Natural products mediate ferroptosis and immune microenvironment-linked sensitization in osteosarcoma: from chemotherapy resistance to combined therapeutic transformation.Molecular diversity · 2026Review
- Highly efficient and low-mosaicismiScience · 2026Article
- Why do lipid nanoparticles target the liver? Understanding of biodistribution and liver-specific tropism.Molecular therapy. Methods & clinical development · 2025Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Knockout mice are useful tools that can provide information about the normal function of genes, including their biochemical, developmental, and physiological roles. One problem associated with the generation of knockout mice is that the loss of some genes of interest produces a lethal phenotype. Therefore, the use of conditioned knockout mice, in which genes are disrupted in specific organs, is essential for the elucidation of disease pathogenesis and the verification of drug targets. In general, conditional knockout mice are produced using the Cre/loxP system; however, the production of the large numbers of Cre/flox knockout and control mice required for analysis requires substantial time and effort. Here, we describe the generation of liver-specific conditional knockout mice via the introduction of lipid nanoparticles encapsulating
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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.