生物
清脆的
细胞内
转录组
计算生物学
细胞生物学
遗传学
基因表达
基因
作者
Loïc Binan,Aiping Jiang,Serwah Danquah,Vera Valakh,Brooke Simonton,Jon Bezney,Robert T. Manguso,Kathleen B. Yates,Ralda Nehme,Brian Cleary,Samouil L. Farhi
出处
期刊:Cell
[Elsevier]
日期:2025-03-01
标识
DOI:10.1016/j.cell.2025.02.012
摘要
Highlights•Perturb-FISH combines spatial transcriptomics and readout of CRISPR perturbation•We recover the effects of genetic perturbation on the transcriptome of single cells•We find specific genetic networks related to cell neighbors in tissue•We connect genetic networks and time-resolved imaging phenotypes after perturbationSummaryPooled optical screens have enabled the study of cellular interactions, morphology, or dynamics at massive scale, but they have not yet leveraged the power of highly plexed single-cell resolved transcriptomic readouts to inform molecular pathways. Here, we present a combination of imaging spatial transcriptomics with parallel optical detection of in situ amplified guide RNAs (Perturb-FISH). Perturb-FISH recovers intracellular effects that are consistent with single-cell RNA-sequencing-based readouts of perturbation effects (Perturb-seq) in a screen of lipopolysaccharide response in cultured monocytes, and it uncovers intercellular and density-dependent regulation of the innate immune response. Similarly, in three-dimensional xenograft models, Perturb-FISH identifies tumor-immune interactions altered by genetic knockout. When paired with a functional readout in a separate screen of autism spectrum disorder risk genes in human-induced pluripotent stem cell (hIPSC) astrocytes, Perturb-FISH shows common calcium activity phenotypes and their associated genetic interactions and dysregulated molecular pathways. Perturb-FISH is thus a general method for studying the genetic and molecular associations of spatial and functional biology at single-cell resolution.Graphical abstract
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