Pooled CRISPR-Cas9 knock out screens provide a valuable addition to the methods available for novel drug target identification and validation. However, where gene editing is targeted to amplified loci, the resulting multiple DNA cleavage events can be a cause of false positive hit identification. The generation of nuclease deficient versions of Cas9 has enabled the development of two additional techniques - CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa) - that enable the repression or overexpression, respectively, of target genes. Here we report the first direct combination of all three approaches (CRISPRko, CRISPRi and CRISPRa) in the context of genome-wide screens to identify components that influence resistance and sensitivity to the BRAF inhibitor, vemurafenib. The pairing of both loss- and gain-of-function datasets reveals complex gene networks which control drug response and illustrates how such data can add substantial confidence to target identification and validation analyses.
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http://dx.doi.org/10.1038/s41598-017-18172-6 | DOI Listing |
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Urology, Affiliated Xi'an Peoples Hospital (Xi'an Fourth Hospital) of Northwest University, Xi'an, 710000, China.
Limited treatment options are available for bladder cancer (BCa) resulting in extremely high mortality rates. Cyclovirobuxine D (CVB-D), a naturally alkaloid, reportedly exhibits notable antitumor activity against diverse tumor types. However, its impact on CVB-D on BCa and its precise molecular targets remain unexplored.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, NO.1800, Lihu avenue, Wuxi 214122, China.
Inducible systems are crucial to metabolic engineering and synthetic biology, enabling organisms that function as biosensors and produce valuable compounds. However, almost all inducible systems are strain-specific, limiting comparative analyses and applications across strains rapidly. This study designed and presented a robust workflow for developing the cross-species inducible system.
View Article and Find Full Text PDFDatabase (Oxford)
January 2025
School of Computer Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China.
The pathogenesis of complex diseases is intricately linked to various genes and network medicine has enhanced understanding of diseases. However, most network-based approaches ignore interactions mediated by noncoding RNAs (ncRNAs) and most databases only focus on the association between genes and diseases. Based on the mentioned questions, we have developed DisGeNet, a database focuses not only on the disease-associated genes but also on the interactions among genes.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Radio-Chemotherapy, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.
Background: Non-small cell lung cancer (NSCLC) is a fatal disease, and radioresistance is an important factor leading to treatment failure and disease progression. The objective of this research was to detect radioresistance-related genes (RRRGs) with prognostic value in NSCLC.
Methods: The weighted gene coexpression network analysis (WGCNA) and differentially expressed genes (DEGs) analysis were performed to identify RRRGs using expression profiles from TCGA and GEO databases.
Hum Mol Genet
January 2025
Department of Ophthalmology, Baylor College of Medicine, 6565 Fannin St, NC205, Houston, TX 77030 United States.
Human diseases with similar phenotypes can be interconnected through shared biological pathways, genes, or molecular mechanisms. Inherited retinal diseases (IRDs) cause photoreceptor dysfunction due to mutations in approximately 300 genes, affecting visual transduction, photoreceptor morphogenesis, and transcription factors, suggesting common pathobiological mechanisms. This study examined the functional relationship between known IRDs genes by integrating binding sites and gene expression data from the key photoreceptor transcription factors (TFs), Crx and Nrl.
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