Ramezani Meraj, Weisbart Erin, Bauman Julia, Singh Avtar, Yong John, Lozada Maria, Way Gregory P, Kavari Sanam L, Diaz Celeste, Leardini Eddy, Jetley Gunjan, Pagnotta Jenlu, Haghighi Marzieh, Batista Thiago M, Pérez-Schindler Joaquín, Claussnitzer Melina, Singh Shantanu, Cimini Beth A, Blainey Paul C, Carpenter Anne E, Jan Calvin H, Neal James T
Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Type 2 Diabetes Systems Genomics Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nat Methods. 2025 Mar;22(3):621-633. doi: 10.1038/s41592-024-02537-7. Epub 2025 Jan 27.
A key challenge of the modern genomics era is developing empirical data-driven representations of gene function. Here we present the first unbiased morphology-based genome-wide perturbation atlas in human cells, containing three genome-wide genotype-phenotype maps comprising CRISPR-Cas9-based knockouts of >20,000 genes in >30 million cells. Our optical pooled cell profiling platform (PERISCOPE) combines a destainable high-dimensional phenotyping panel (based on Cell Painting) with optical sequencing of molecular barcodes and a scalable open-source analysis pipeline to facilitate massively parallel screening of pooled perturbation libraries. This perturbation atlas comprises high-dimensional phenotypic profiles of individual cells with sufficient resolution to cluster thousands of human genes, reconstruct known pathways and protein-protein interaction networks, interrogate subcellular processes and identify culture media-specific responses. Using this atlas, we identify the poorly characterized disease-associated TMEM251/LYSET as a Golgi-resident transmembrane protein essential for mannose-6-phosphate-dependent trafficking of lysosomal enzymes. In sum, this perturbation atlas and screening platform represents a rich and accessible resource for connecting genes to cellular functions at scale.
现代基因组学时代的一个关键挑战是开发基于经验数据的基因功能表征。在此,我们展示了人类细胞中首个基于形态学的无偏全基因组扰动图谱,其中包含三个全基因组基因型-表型图谱,这些图谱涵盖了在超过3000万个细胞中对2万多个基因进行的基于CRISPR-Cas9的基因敲除。我们的光学混合细胞分析平台(PERISCOPE)将一个可脱色的高维表型分析面板(基于细胞绘画)与分子条形码的光学测序以及一个可扩展的开源分析流程相结合,以促进对混合扰动文库的大规模平行筛选。这个扰动图谱包含单个细胞的高维表型特征,其分辨率足以对数千个人类基因进行聚类、重建已知通路和蛋白质-蛋白质相互作用网络、探究亚细胞过程并识别特定于培养基的反应。利用这个图谱,我们确定了特征描述较少的疾病相关基因TMEM251/LYSET是一种驻留在高尔基体的跨膜蛋白,对于溶酶体酶的甘露糖-6-磷酸依赖性运输至关重要。总之,这个扰动图谱和筛选平台是一个丰富且易于获取的资源,可用于大规模地将基因与细胞功能联系起来。