ArticleMethods in molecular biology (Clifton, N.J.)2025
Facilitating Gene Editing in Human Lymphoma Cells Using Murine Ecotropic γ-Retroviruses.
Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- IGLV3-21HemaSphere · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic modifications using CRISPR-Cas9 have revolutionized cancer research and other preclinical studies. Exceptionally, these efficient tools are inadequate in a few disease models and cell lines due to the aberrant differentiation states and the accumulation of excessive somatic mutations that compromise the robustness of viral gene delivery and stable transduction. A couple of B lymphoma cell lines fall into this category where lentiviral transfection becomes inefficient and exhibits variable efficiency. Additionally, lentiviral delivery requires high biosafety levels. To address this challenge, we have developed a two-step strategy that supports CRISPR-Cas9 through lentivirus and murine ecotropic γ-retrovirus. By engineering B lymphoma cell lines to express Cas9 and mCat1, a specific receptor for ecotropic retroviruses, we enable efficient and safe gene editing through ecotropic γ-retrovirus. We demonstrate the efficacy of this method by generating IgM-deficient B lymphoma cell lines. This innovative approach simplifies protocols, enhances accessibility, and paves the way for standardized gene manipulation of B cell lymphoma models for molecular cell biology research.
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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.