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基于图像分析的基因组合 pooled 筛选。

Pooled genetic screens with image-based profiling.

机构信息

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

Department of Biological Engineering, MIT, Cambridge, MA, USA.

出版信息

Mol Syst Biol. 2022 Nov;18(11):e10768. doi: 10.15252/msb.202110768.


DOI:10.15252/msb.202110768
PMID:36366905
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9650298/
Abstract

Spatial structure in biology, spanning molecular, organellular, cellular, tissue, and organismal scales, is encoded through a combination of genetic and epigenetic factors in individual cells. Microscopy remains the most direct approach to exploring the intricate spatial complexity defining biological systems and the structured dynamic responses of these systems to perturbations. Genetic screens with deep single-cell profiling via image features or gene expression programs have the capacity to show how biological systems work in detail by cataloging many cellular phenotypes with one experimental assay. Microscopy-based cellular profiling provides information complementary to next-generation sequencing (NGS) profiling and has only recently become compatible with large-scale genetic screens. Optical screening now offers the scale needed for systematic characterization and is poised for further scale-up. We discuss how these methodologies, together with emerging technologies for genetic perturbation and microscopy-based multiplexed molecular phenotyping, are powering new approaches to reveal genotype-phenotype relationships.

摘要

生物学中的空间结构,跨越分子、细胞器、细胞、组织和机体尺度,是通过个体细胞中的遗传和表观遗传因素的组合来编码的。显微镜仍然是探索定义生物系统的复杂空间复杂性和这些系统对干扰的结构化动态响应的最直接方法。通过图像特征或基因表达程序进行深度单细胞分析的遗传筛选,具有通过一次实验测定对许多细胞表型进行编目的能力,从而详细显示生物系统的工作方式。基于显微镜的细胞分析提供了与下一代测序 (NGS) 分析互补的信息,并且最近才与大规模遗传筛选兼容。光学筛选现在提供了系统表征所需的规模,并准备进一步扩大规模。我们讨论了这些方法,以及新兴的遗传干扰和基于显微镜的多重分子表型分析技术,如何为揭示基因型-表型关系的新方法提供动力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/9650298/1865a3ecc05e/MSB-18-e10768-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/9650298/518d95c3938d/MSB-18-e10768-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/9650298/1162879bece5/MSB-18-e10768-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/9650298/dced9f2fd501/MSB-18-e10768-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/9650298/1865a3ecc05e/MSB-18-e10768-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/9650298/518d95c3938d/MSB-18-e10768-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/9650298/1162879bece5/MSB-18-e10768-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/9650298/dced9f2fd501/MSB-18-e10768-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/9650298/1865a3ecc05e/MSB-18-e10768-g001.jpg

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[6]
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[7]
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[8]
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[9]
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[10]
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本文引用的文献

[1]
Drag-and-drop genome insertion of large sequences without double-strand DNA cleavage using CRISPR-directed integrases.

Nat Biotechnol. 2023-4

[2]
The phenotypic landscape of essential human genes.

Cell. 2022-11-23

[3]
Spatial epitope barcoding reveals clonal tumor patch behaviors.

Cancer Cell. 2022-11-14

[4]
The emerging landscape of spatial profiling technologies.

Nat Rev Genet. 2022-12

[5]
Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq.

Cell. 2022-7-7

[6]
Cell Painting predicts impact of lung cancer variants.

Mol Biol Cell. 2022-5-15

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An open source toolkit for repurposing Illumina sequencing systems as versatile fluidics and imaging platforms.

Sci Rep. 2022-3-24

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A multiplexed epitope barcoding strategy that enables dynamic cellular phenotypic screens.

Cell Syst. 2022-5-18

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Spatial CRISPR genomics identifies regulators of the tumor microenvironment.

Cell. 2022-3-31

[10]
Saturation variant interpretation using CRISPR prime editing.

Nat Biotechnol. 2022-6

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