ArticleGenome medicine2024
CRISPR-Cas9 screens reveal common essential miRNAs in human cancer cell lines.
Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- ELE: Estimating tissue-specific long noncoding RNA gene essentiality using graph neural networks.Quantitative biology (Beijing, China) · 2026Article
- CRISPR decodes the RNA regulatory network in prostate cancer: A review from mechanisms to precision therapeutics.Non-coding RNA research · 2026Review
- Genome-Wide CRISPR Screen Identifies a microRNA Orchestrating Pleiotropic Resistance to Targeted Therapy and T Cell Immunity in Melanoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The miRNA Landscape of Leukemia - Cellular Actions to Therapy through Molecular Mechanisms.Cell biochemistry and biophysics · 2025Review
- Applications of Genome-wide Screening of CRISPR/Cas9 Knockout Library in Identifying Novel Molecular Targets for Xenobiotics.Environment & health (Washington, D.C.) · 2025Review
- A microRNA CRISPR screen reveals microRNA-483-3p as an apoptotic regulator in prostate cancer cells.Cell death & disease · 2025Article
- Interplay between innate-like T-cells and microRNAs in cancer immunity.Discover oncology · 2025Review
- MicroRNAs as Sensitizers of Tyrosine Kinase Inhibitor Resistance in Cancer: Small Molecule Partnerships.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Flipons enable genomes to learn by intermediating the exchange of energy for information.Journal of the Royal Society, Interface · 2025Review
- Regulatory QTLs affecting miRNA-mRNA interactions in cancer: mechanisms, methods, and clinical implications.Frontiers in molecular biosciences · 2025Review
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11 authors.
Funding
Abstract
backgroundGenome-wide functional screening using the CRISPR-Cas9 system is a powerful tool to uncover tumor-specific and common genetic dependencies across cancer cell lines. Current CRISPR-Cas9 knockout libraries, however, primarily target protein-coding genes. This limits functional genomics-based investigations of miRNA function.
methodsWe designed a novel CRISPR-Cas9 knockout library (lentiG-miR) of 8107 distinct sgRNAs targeting a total of 1769 human miRNAs and benchmarked its single guide RNA (sgRNA) composition, predicted on- and off-target activity, and screening performance against previous libraries. Using a total of 45 human cancer cell lines, representing 16 different tumor entities, we performed negative selection screens to identify miRNA fitness genes. Fitness miRNAs in each cell line were scored using a combination of supervised and unsupervised essentiality classifiers. Common essential miRNAs across distinct cancer cell lines were determined using the 90th percentile method. For subsequent validation, we performed knockout experiments for selected common essential miRNAs in distinct cancer cell lines and gene expression profiling.
resultsWe found significantly lower off-target activity for protein-coding genes and a higher miRNA gene coverage for lentiG-miR as compared to previously described miRNA-targeting libraries, while preserving high on-target activity. A minor fraction of miRNAs displayed robust depletion of targeting sgRNAs, and we observed a high level of consistency between redundant sgRNAs targeting the same miRNA gene. Across 45 human cancer cell lines, only 217 (12%) of all targeted human miRNAs scored as a fitness gene in at least one model, and fitness effects for most miRNAs were confined to small subsets of cell lines. In contrast, we identified 49 common essential miRNAs with a homogenous fitness profile across the vast majority of all cell lines. Transcriptional profiling verified highly consistent gene expression changes in response to knockout of individual common essential miRNAs across a diverse set of cancer cell lines.
conclusionsOur study presents a miRNA-targeting CRISPR-Cas9 knockout library with high gene coverage and optimized on- and off-target activities. Taking advantage of the lentiG-miR library, we define a catalogue of miRNA fitness genes in human cancer cell lines, providing the foundation for further investigation of miRNAs in human cancer.
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