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NIS-Seq可实现不依赖细胞类型的光学扰动筛选。

NIS-Seq enables cell-type-agnostic optical perturbation screening.

作者信息

Fandrey Caroline I, Jentzsch Marius, Konopka Peter, Hoch Alexander, Blumenstock Katja, Zackria Afraa, Maasewerd Salie, Lovotti Marta, Lapp Dorothee J, Gohr Florian N, Suwara Piotr, Świeżewski Jędrzej, Rossnagel Lukas, Gobs Fabienne, Cristodaro Maia, Muhandes Lina, Behrendt Rayk, Lam Martin C, Walgenbach Klaus J, Bald Tobias, Schmidt Florian I, Latz Eicke, Schmid-Burgk Jonathan L

机构信息

Institute of Clinical Chemistry and Clinical Pharmacology, University and University Hospital Bonn, Bonn, Germany.

Institute of Innate Immunity, University and University Hospital Bonn, Bonn, Germany.

出版信息

Nat Biotechnol. 2024 Dec 19. doi: 10.1038/s41587-024-02516-5.

Abstract

Optical pooled screening offers a broader-scale alternative to enrichment-based perturbation screening, using fluorescence microscopy to correlate phenotypes and perturbations across single cells. Previous methods work well in large, transcriptionally active cell lines, because they rely on cytosolic detection of endogenously expressed barcoded transcripts; however, they are limited by reliable cell segmentation, cytosol size, transcriptional activity and cell density. Nuclear In-Situ Sequencing (NIS-Seq) expands this technology by creating bright sequencing signals directly from nuclear genomic DNA to screen nucleated cells at high density and high library complexity. By inserting an inverted phage promoter downstream of the single guide RNA (sgRNA), many RNA copies of the sgRNA can be generated and sequenced independently of cellular transcription. In this study, we benchmarked NIS-Seq across eight cell types from two species and performed four genome-scale optical perturbation screens, identifying key players of inflammation-related cellular pathways. Finally, we performed a small-scale pooled optical screen in primary human macrophages from blood of healthy donors and demonstrated barcode identification in lentivirally transduced human skin tissue.

摘要

光学池筛选提供了一种基于富集的扰动筛选的更广泛规模的替代方法,它利用荧光显微镜来关联单个细胞的表型和扰动。以前的方法在大型、转录活跃的细胞系中效果良好,因为它们依赖于对内源表达的条形码转录本的胞质检测;然而,它们受到可靠的细胞分割、胞质大小、转录活性和细胞密度的限制。核原位测序(NIS-Seq)通过直接从核基因组DNA创建明亮的测序信号来扩展这项技术,以在高密度和高文库复杂性下筛选有核细胞。通过在单向导RNA(sgRNA)下游插入一个反向噬菌体启动子,可以产生许多sgRNA的RNA拷贝,并独立于细胞转录进行测序。在这项研究中,我们在来自两个物种的八种细胞类型上对NIS-Seq进行了基准测试,并进行了四次全基因组规模的光学扰动筛选,确定了炎症相关细胞途径的关键参与者。最后,我们在来自健康供体血液的原代人巨噬细胞中进行了小规模的池化光学筛选,并在慢病毒转导的人皮肤组织中证明了条形码识别。

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