ArticlePharmacogenomics and personalized medicine2023
Screening of Lymphoma Radiotherapy-Resistant Genes with CRISPR Activation Library.
Article in Pharmacogenomics and personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Small and Large Extracellular Vesicles in Circulation of Diffuse Large B-Cell Lymphoma Patients Originate From Different Cell Types of the Tumor Microenvironment.Journal of extracellular vesicles · 2026Article
- Single-cell analysis of adult mouse testes exposed to cigarette smoke.Journal of assisted reproduction and genetics · 2026Article
- Identification of RASL11A as a gene conferring radiosensitivity in glioblastoma.Journal of neuro-oncology · 2025Article
- Exploiting Translation Machinery for Cancer Therapy: Translation Factors as Promising Targets.International journal of molecular sciences · 2024Review
- CRISPR-Cas and CRISPR-based screening system for precise gene editing and targeted cancer therapy.Journal of translational medicine · 2024Review
- Transcriptome Analysis of the Effects of X-Ray Radiotherapy on Non-small-cell Lung Cancer Using Next-generation Sequencing.In vivo (Athens, Greece)Article
- Identification of MTFR1 as a Novel Prognostic Biomarker and Putative Oncogene for Breast Cancer: A Multi-Omics Analysis and in Vitro Experimental Validation.IET systems biologyArticle
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The objective of this study was to screen lymphoma radiotherapy-resistant genes using CRISPR activation (CRISPRa). Methods: The Human CRISPRa library virus was packaged and then transfected into lymphoma cells to construct an activation library cell line, which was irradiated at the minimum lethal radiation dose to screen radiotherapy-resistant cells. Radiotherapy-resistant cell single-guide RNA (sgRNA) was first amplified by quantitative polymerase chain reaction (qPCR) in the coding region and then subject to next-generation sequencing (NGS) and bioinformatics analysis to screen radiotherapy-resistant genes. Certain radiotherapy-resistant genes were then selected to construct activated cell lines transfected with a single gene so as to further verify the relationship between gene expression and radiotherapy resistance. Results: A total of 16 radiotherapy-resistant genes, namely, Conclusion: The 16 genes screened are potential lymphoma radiotherapy-resistant genes. It was initially determined that the high expression of 8 genes was associated with lymphoma radiotherapy resistance, and these genes could serve as the potential biomarkers for predicting lymphoma radiotherapy resistance or as new targets for therapy.
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Registered trials
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