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Genetic and biochemical screens identify MGAT1 as a druggable glycosyltransferase target in STK11-mutant lung cancer.

Checkpoint inhibitors are standard-of-care therapies for non-small cell lung cancer (NSCLC), but their efficacy is limited in tumors with STK11 mutations, highlighting the need for new therapeutic strategies. Here, we performed complementary in vivo and in vitro CRISPR-Cas9 functional genomic screens to identify genes whose loss restores sensitivity to anti-PD-1 therapy. We found that loss of MGAT1, a Golgi glycosyltransferase critical for the maturation of high-mannose N-glycans into hybrid and complex glycan structures, reversed resistance to anti-PD-1 treatment in syngeneic mouse tumor models harboring STK11 mutations. Parallel co-culture screens with antigen-matched CD8+ T cells further showed that disruption of N-glycosylation strongly sensitized tumor cells to T cell-mediated killing. Genetic rescue studies demonstrated that this immune-evasion phenotype depends on MGAT1 catalytic activity, supporting direct biochemical interrogation of the enzyme. Using purified human MGAT1 and a UDP-Glo™ glycosyltransferase assay, we established a tractable screening platform and performed a 500,000-compound biochemical high-throughput screen, identifying an initial hit (compound 1; IC50 = 197 μM). Subsequent medicinal chemistry optimization delivered progressively more potent analogs, including TNG-9333 (0.814 μM) and TNG-2673 (0.043 μM) and represented a >1000-fold improvement in biochemical potency from the starting hit. Crystal structures of human MGAT1 in apo, UDP-bound, UDP-GlcNAc-bound, and inhibitor-bound states, together with SPR and DSF analyses, revealed that this chemical series engages a previously unrecognized allosteric pocket and inhibits MGAT1 through a UDP-noncompetitive mechanism. Collectively, our work implicates N-glycosylation as a key mediator of immune evasion and establishes MGAT1 as a ligandable, structurally tractable target for small-molecule drug discovery.

CRISPR/Cas9 target discovery↗

Integrative chemical genetics platform identifies condensate modulators linked to neurological disorders.

Dysregulation of biomolecular condensates is implicated across multiple neurological disorders. However, approaches to systematically identify their modulators remain limited. Here, we expand the utility of MLF2 as a versatile condensate biomarker and develop CondenScreen, an integrated high-content screening and bioinformatics pipeline enabling identification of condensate modulators across chemical and genetic space. Screening 1760 bioactive compounds in a cellular DYT1 dystonia model, we validate the platform for condensate-targeted drug discovery, identifying drugs that prevent the accumulation of the MLF2 reporter into nuclear envelope condensates. In parallel, a genome-wide CRISPR/Cas9 screen correlates nuclear condensate abundance with genes implicated in microcephaly and over eight additional neurodevelopmental disorders. Machine learning and confocal imaging resolve distinct condensate phenotypes, with RNF26 deletion provoking nuclear envelope condensates that phenocopy hallmarks of torsin deficiency. Our study provides a scalable platform for identifying modulators of condensates and establishes a correlative connection between nuclear condensate accumulation and genes implicated in neurodevelopmental disorders.

Humans↗

Large-scale screening of genes responsible for silique length and seed size in Brassica Napus via pooled CRISPR library.

BACKGROUND: Enhancing rapeseed (Brassica napus, B. napus) yield is critical for ensuring global vegetable oil security. However, yield is heavily influenced by silique development and seed size, the enhancement of which is limited by scarce genetic resources. The CRISPR/Cas9 system has emerged as a powerful tool for constructing genome-wide mutant libraries, even in polyploid crops with complex genomes. RESULTS: The transcriptome-wide association study (TWAS) data, tissue-specific expression profiles data and reported genes were integrated to identify candidate genes regulating silique development and seed size. We constructed a sgRNA library targeting these genes and generated a CRISPR/Cas9 editing mutant library through genetic transformation. Specifically, 6124 sgRNAs were designed for 1739 candidate genes with ≦ 4 orthologues. 681 T0 plants were obtained through genetic transformation, which harbor 453 sgRNAs. Of 408 T0 plants analyzed, 151 (37.00%) exhibited successful gene editing events, targeting 84 candidate genes. Ten homozygous mutant plants were isolated and preliminary phenotypic analysis was performed in mutants targeting the BnaHRDs. The results suggest that mutations in BnaHRD.A03 and BnaHRD.C03 may modulate plant height (PH), main inflorescence length (MIL), silique length (SL), effective silique number per plant (ENS), seed number per silique (SNPS), and thousand-seed weight (TSW). CONCLUSIONS: This study harnessed the CRISPR/Cas9 technology to establish a preliminary library of gene-edited mutants in B. napus, thereby laying a robust foundation for the future screening of candidate genes pertaining to silique development and seed size. Furthermore, this study provides a methodological framework for rapid functional gene discovery in B. napus through CRISPR-based approaches.

Brassica napus↗

Cancer-associated fusion transcripts: mechanisms, functional roles, and clinical implications.

Fusion transcripts are hybrid RNA molecules generated through genomic rearrangements or RNA-level fusion mechanisms. They represent important molecular features of many cancers and can function as oncogenic drivers, diagnostic biomarkers, prognostic indicators, and therapeutic targets. Since the discovery of the BCR::ABL1 fusion in chronic myeloid leukemia, numerous cancer-associated fusion transcripts have been identified across hematologic malignancies and solid tumors. These fusion events encompass diverse biological mechanisms, including constitutively active kinases, aberrant transcription factors, epigenetic regulators, and non-coding fusion RNAs. This review summarizes current knowledge of the mechanisms underlying fusion transcript formation, including genomic rearrangement-dependent and rearrangement-independent processes, as well as fusion circular RNAs. The functional roles of fusion transcripts in cancer biology and their clinical relevance as diagnostic, prognostic, and predictive biomarkers are discussed. In addition, recent advances in fusion transcript detection and characterization are reviewed, including next-generation sequencing, long-read sequencing, single-cell approaches, artificial intelligence-assisted computational methods, and CRISPR/Cas9-mediated strategies for functional modeling and functional validation of fusion transcripts. Despite the rapid expansion of fusion transcript catalogs, the biological and clinical significance of most identified fusion events remains incompletely understood. Future progress will depend on integrating advanced sequencing technologies, artificial intelligence-assisted computational prioritization, and systematic functional validation to distinguish clinically actionable fusion transcripts from biologically neutral events. Such multidisciplinary approaches will be essential for translating fusion transcript research into precision oncology and improving cancer diagnosis, patient stratification, and targeted therapy.

Humans↗