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人类细胞形态的全基因组图谱。

A genome-wide atlas of human cell morphology.

作者信息

Ramezani Meraj, Bauman Julia, Singh Avtar, Weisbart Erin, Yong John, Lozada Maria, Way Gregory P, Kavari Sanam L, Diaz Celeste, 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

机构信息

Broad Institute of MIT & Harvard, Cambridge, MA, USA.

Type 2 Diabetes Systems Genomics Initiative of the Broad Institute of MIT and Harvard, Cambridge, MA, USA.

出版信息

bioRxiv. 2023 Aug 7:2023.08.06.552164. doi: 10.1101/2023.08.06.552164.

Abstract

A key challenge of the modern genomics era is developing data-driven representations of gene function. Here, we present the first unbiased morphology-based genome-wide perturbation atlas in human cells, containing three genome-scale genotype-phenotype maps comprising >20,000 single-gene CRISPR-Cas9-based knockout experiments in >30 million cells. Our optical pooled cell profiling approach (PERISCOPE) combines a de-stainable 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 approach provides high-dimensional phenotypic profiles of individual cells, while simultaneously enabling interrogation of subcellular processes. Our atlas reconstructs known pathways and protein-protein interaction networks, identifies culture media-specific responses to gene knockout, and clusters thousands of human genes by phenotypic similarity. Using this atlas, we identify the poorly-characterized disease-associated transmembrane protein TMEM251/LYSET as a Golgi-resident protein essential for mannose-6-phosphate-dependent trafficking of lysosomal enzymes, showing the power of these representations. In sum, our atlas and screening technology represent a rich and accessible resource for connecting genes to cellular functions at scale.

摘要

现代基因组学时代的一个关键挑战是开发基于数据驱动的基因功能表征。在此,我们展示了人类细胞中首个基于形态学的全基因组无偏扰动图谱,其中包含三个基因组规模的基因型 - 表型图谱,涵盖在超过3000万个细胞中进行的>20,000个基于单基因CRISPR - Cas9敲除实验。我们的光学混合细胞分析方法(PERISCOPE)将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可扩展的开源分析管道相结合,以促进对混合扰动文库的大规模平行筛选。这种方法提供单个细胞的高维表型概况,同时能够对亚细胞过程进行探究。我们的图谱重建了已知的信号通路和蛋白质 - 蛋白质相互作用网络,识别了培养基对基因敲除的特异性反应,并通过表型相似性对数千个人类基因进行聚类。利用这个图谱,我们将特征不明的疾病相关跨膜蛋白TMEM251/LYSET鉴定为一种驻留在高尔基体的蛋白质,它对于溶酶体酶的甘露糖 - 6 - 磷酸依赖性运输至关重要,这展示了这些表征的强大作用。总之,我们的图谱和筛选技术代表了一种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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aacd/10441312/29eb4e673978/nihpp-2023.08.06.552164v1-f0007.jpg

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