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A genome-wide atlas of human cell morphology
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-Ca...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441312/ https://www.ncbi.nlm.nih.gov/pubmed/37609130 http://dx.doi.org/10.1101/2023.08.06.552164 |
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author | 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. |
author_facet | 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. |
author_sort | Ramezani, Meraj |
collection | PubMed |
description | 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(1,2)) 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. |
format | Online Article Text |
id | pubmed-10441312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-104413122023-08-22 A genome-wide atlas of human cell morphology 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. bioRxiv Article 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(1,2)) 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. Cold Spring Harbor Laboratory 2023-08-07 /pmc/articles/PMC10441312/ /pubmed/37609130 http://dx.doi.org/10.1101/2023.08.06.552164 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article 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. A genome-wide atlas of human cell morphology |
title | A genome-wide atlas of human cell morphology |
title_full | A genome-wide atlas of human cell morphology |
title_fullStr | A genome-wide atlas of human cell morphology |
title_full_unstemmed | A genome-wide atlas of human cell morphology |
title_short | A genome-wide atlas of human cell morphology |
title_sort | genome-wide atlas of human cell morphology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441312/ https://www.ncbi.nlm.nih.gov/pubmed/37609130 http://dx.doi.org/10.1101/2023.08.06.552164 |
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