PO.ET02.14 · 实验与分子治疗

超越活力:PRISM条形码标记癌细胞系混合物的治疗后单细胞和空间转录组分析

Beyond viability: Post treatment single cell and spatial transcriptomic profiling in mixtures of PRISM barcoded cancer cell lines

编号 5843 展板 12 时间 4/21 02:00–05:00 区域 Section 17 主讲 Laura Chen, PhD
分会场 Tumor Microenvironment, Multispecifics, and Immunomodulation
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作者与单位 Authors & Affiliations

Laura Doherty1, Ashish B. George1, Mustafa Kocak1, Paul Lund2, Andrew Kohlway2, Andrew Boddicker3, Ben Song3, Carlos Ruiz Perez3, Bryan Lajoie3, Catarina D. Campbell1, Matthew G. Rees1, Jennifer A. Roth1

1Broad Institute of MIT and Harvard, Cambridge, MA,210x Genomics, Pleasanton, CA,3Element Biosciences, San Diego, CA

摘要 Abstract

中文摘要
PRISM是一种高度多重化、基于基因组条形码的细胞系活力技术,涵盖近1000种实体瘤和造血细胞系。独特的细胞系条形码使得细胞系可以每孔或每皿多重化为数十至数百种不同细胞系的混合池,从而大大减少了在900余种细胞系中分析化合物或生物制剂活力效应所需的时间和成本。利用这些细胞系的基础基因组特征,可以发现敏感性和耐药性的生物标志物。除了能够在900余种细胞系中大规模进行活力筛选外,PRISM条形码技术还使我们能够通过采用市售的单细胞测序(10x Genomics Flex v2)和空间转录组学检测(Element Biosciences AVITI24),分析细胞系混合物中扰动后的RNA转录本和蛋白质变化。将PRISM技术的表型读出能力从活力扩展到包括基因和蛋白质变化,将为药物作用机制、耐药性、脱靶效应和反应异质性提供更深入的洞察。在此,我们展示了在条形码标记的PRISM细胞系池中开发多组学表型分析检测的工作。我们利用10x Genomics Flex v2(用于全基因组RNA单细胞测序和PRISM条形码鉴定),结合Flex兼容的Proteintech Human Discovery抗体面板(以测量300余种蛋白质的丰度)来响应扰动。在一项涵盖20余个谱系的100种细胞系的试点中,我们可靠地检测到99种细胞系,平均每个细胞回收约7000个独特基因。同时,我们正在探索Element Biosciences AVITI24在PRISM细胞系池中进行空间转录组读出的潜力。在一项涵盖15个谱系的25种细胞系的试点中,我们检测到全部25种细胞系,尽管每个细胞回收的计数较少,但我们从6种细胞染色(细胞膜、细胞核、肌动蛋白、线粒体、高尔基体和内质网)中回收了形态学特征。在两种检测中,我们均用pan-RAS抑制剂进行处理,并在差异表达基因中观察到一致的基因特征。10x Flex v2检测具有深度优势(每个细胞检测更多转录本),而Element成像工作流程能够直接在流动池上培养细胞并提供空间和形态学特征。因此,这两种检测高度互补。我们鉴定了两种技术方法所获得的共同点以及各自独特的洞察,并识别了细胞系特异性反应。
查看英文原文 English abstract
PRISM is a highly multiplexed, genomic barcode-based cell line viability technology of nearly 1000 solid tumor and hematopoietic cell lines. The unique cell line barcodes enable the cell lines to be multiplexed into pools of dozens to hundreds of different cell lines per well or dish, which greatly reduces the time and costs required to profile the viability effects of compounds or biologics across 900+ cell lines. Leveraging underlying genomic characterization of these cell lines enables the discovery of biomarkers of sensitivity and resistance. In addition to enabling viability screening in 900+ cell lines at scale, the PRISM barcoding technology also enables us to profile post-perturbation RNA transcript and protein changes in mixtures of cell lines by adapting commercially available single cell sequencing (10x Genomics Flex v2) and spatial transcriptomic assays (Element Biosciences AVITI24). Expanding the phenotypic readout capabilities of the PRISM technology beyond viability to include gene and protein changes will provide deeper insight into drug mechanisms of action, resistance, off-target effects, and heterogeneity of response. Here we present our work developing multiomic phenotypic profiling assays in barcoded PRISM cell line pools. We leverage 10x Genomics Flex v2 (for genomewide RNA single cell sequencing and PRISM barcode identification) in conjunction with the Flex-compatible Proteintech Human Discovery antibody panel (to measure abundances of 300+ proteins) in response to perturbations. In a pilot of 100 cell lines spanning 20+ lineages, we reliably detect 99 cell lines, recovering on average ~7000 unique genes per cell. In parallel, we are exploring the potential of Element Biosciences AVITI24 for spatial transcriptomic readouts in pools of PRISM cell lines. In a pilot of 25 cell lines spanning 15 lineages, we detect each of the 25 cell lines and although we recover fewer counts per cell, we recover morphology features from 6 cell paint stains (membrane, nucleus, actin, mitochondria, golgi, and ER). In both assays, we treated with a pan-RAS inhibitor and observed a concordant gene signature in differentially expressed genes. The 10x Flex v2 assay has the benefit of depth (detecting more transcripts per cell), while the Element imaging workflow enables culturing cells directly on the flowcell and provides spatial and morphological features. Thus, the two assays are highly complementary. We identify commonalities as well as distinct insights obtained by the two technological approaches and identify cell line specific responses.
利益披露 Disclosure
L. Doherty, None.. A. B. George, None.. M. Kocak, None.. P. Lund, None.. A. Kohlway, None.. A. Boddicker, None.. B. Song, None.. C. Ruiz Perez, None.. B. Lajoie, None.. C. D. Campbell, None.. M. G. Rees, None.. J. A. Roth, None.

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