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通过汇集成像分析揭示的线粒体相关基因扰动的致病性形态学特征。

Pathogenic morphological signatures of perturbations in mitochondrial-related genes revealed by pooled imaging assay.

作者信息

Kremitzki Colin, Waligorski Jason, Bachman Graham, Ali Lina Mohammed, Bramley John, Vakaki Maria, Chandrasekaran Vinay, Patel Purva, Mathur Dhruv, Hime Paul, Mitra Robi, Milbrandt Jeff, Buchser William

机构信息

Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.

Functional Imaging for Variant Elucidation at the McDonnell Genome Institute, St. Louis, MO, USA.

出版信息

Npj Imaging. 2025 Aug 1;3(1):35. doi: 10.1038/s44303-025-00097-9.

Abstract

Mutations in mitochondrial-related genes underlie numerous neurodegenerative diseases, yet the significance of most variants remains uncertain concerning disease phenotypes. Several thousand genes have been shown to regulate mitochondria in eukaryotic cells, but which of these genes are necessary for proper mitochondrial function and dynamics? We investigated the degree of morphological disruptions in mitochondrial gene-silenced cells to understand the genetic contribution to the expected mitochondrial phenotype and to identify potentially pathogenic variants like pathogenic mutations in MFN2. We analyzed 5835 gRNAs in a high dimensional phenotypic dataset produced by the image-based pooled analysis platform Raft-Seq. Using the MFN2-mutant cell phenotype, we identified several genes, including TMEM11, TIMM8A, NDUFAF4, NDUFAF7, and NDUFS5 (NADH ubiquinone oxidoreductase-related genes), as crucial for normal mitochondrial dynamics in human U2OS cells. Additionally, we found several missense and UTR variants within the genes SLC25A19 and ATAD3A as drivers of mitochondrial aggregation. By examining multiple features instead of a single readout, this analysis was powered to detect genes which had morphological 'signatures' aligned with MFN2-mutant phenotypes. Reanalysis with anomaly detection revealed other critical genes, including APOOL, MCEE, NIT, PHB, and SLC16A7, which perturb mitochondrial network morphology in a manner divergent from MFN2. These studies show causal links between gene knockouts and gene-specific variants into the assembly or maintenance of mitochondrial dynamics and can hopefully lead to a better understanding of mitochondrial related diseases.

摘要

线粒体相关基因的突变是众多神经退行性疾病的基础,但大多数变异对疾病表型的意义仍不确定。已经证明,在真核细胞中有数千个基因调节线粒体,但这些基因中哪些对于正常的线粒体功能和动态是必需的呢?我们研究了线粒体基因沉默细胞中的形态破坏程度,以了解对预期线粒体表型的遗传贡献,并识别潜在的致病变异,如MFN2中的致病突变。我们在基于图像的汇集分析平台Raft-Seq产生的高维表型数据集中分析了5835个gRNA。利用MFN2突变细胞表型,我们确定了几个基因,包括TMEM11、TIMM8A、NDUFAF4、NDUFAF7和NDUFS5(与NADH泛醌氧化还原酶相关的基因),它们对人U2OS细胞中的正常线粒体动态至关重要。此外,我们在SLC25A19和ATAD3A基因中发现了几个错义变体和UTR变体,它们是线粒体聚集的驱动因素。通过检查多个特征而不是单一读数,该分析能够检测到具有与MFN2突变表型一致的形态“特征”的基因。通过异常检测进行的重新分析揭示了其他关键基因,包括APOOL、MCEE、NIT、PHB和SLC16A7,它们以与MFN2不同的方式扰乱线粒体网络形态。这些研究表明基因敲除和基因特异性变体与线粒体动态的组装或维持之间存在因果联系,有望更好地理解线粒体相关疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96a5/12316947/d8f450b06a8f/44303_2025_97_Fig1_HTML.jpg

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