PO.CH02.02 · 化学

使用nCounter®蛋白和RNA面板对裂解物进行整合多组学分析,以获得全面的肿瘤学见解

Integrated multiomics profiling of lysates using nCounter® protein and RNA panels for comprehensive oncology insights

海报缩略图:使用nCounter®蛋白和RNA面板对裂解物进行整合多组学分析,以获得全面的肿瘤学见解
编号 7661 展板 15 时间 4/22 09:00–12:00 区域 Section 38 主讲 Brian Filanoski, PhD
分会场 Multi-Omics, Systems Biology, and Biological Mass Spectrometry
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作者与单位 Authors & Affiliations

Brian Filanoski, Lori Hamanishi, Giang Ong, Terence C. Theisen, Erin Piazza, Christina Bailey, Prajan Divakar, Margaret L. Hoang, Joseph M. Beechem

Research and Development, Bruker Spatial Biology, Seattle, WA

摘要 Abstract

中文摘要
结合转录组学和蛋白质组学数据的多组学方法对于理解肿瘤学中复杂的生物系统至关重要。nCounter®平台能够从同一样本中同时定量RNA和蛋白靶点,从而减少变异性并最大化生物学信息。这一创新建立在经典nCounter mRNA检测在转化和临床研究中已展示的临床实用性基础之上,包括Prosigna®(FDA批准)、Lymph2Cx和默克的肿瘤炎症特征(TIS)。裂解物按照优化的nCounter多组学方案从八种不同的癌细胞系(HT-29、Daudi、PC-3、U-937、LNCaP、HeLa、PANC-1、MCF-7)中制备。蛋白靶点使用新的nCounter肿瘤信号面板加免疫通路(500多种Abcam RabMab单克隆抗体)进行分析,并与IO360基因表达面板结合进行整合分析。使用5,000至20,000个裂解细胞,我们发现重复裂解物之间具有高重现性,RNA和蛋白在重复样本间的变异系数(CV)较低。检测灵敏度可维持至每份裂解物低至50 ng RNA和200 ng蛋白。正如预期,重叠标志物的RNA与蛋白表达之间的Pearson相关中位数为R < 0.5,突显了多组学检测的高信息含量。此外,转录本和蛋白水平的整合分析揭示了一致激活的通路,包括关键的翻译后修饰(PTM)。本研究证明了使用nCounter面板进行基于裂解物的多组学分析在肿瘤学研究中的可行性和实用性。该方法为全面的分子分析提供了简化的工作流程,支持转化研究和生物标志物发现。
查看英文原文 English abstract
Multiomic approaches combining transcriptomic and proteomic data are critical for understanding complex biological systems in oncology. The nCounter® platform enables simultaneous quantification of RNA and protein targets from the same sample, reducing variability and maximizing biological insight. This innovation builds upon the demonstrated clinical utility of classic nCounter mRNA assays in translational and clinical research, including Prosigna®(FDA-cleared), Lymph2Cx, and Merck's Tumor Inflammation Signature (TIS). Lysates were prepared from eight different cancer cell lines (HT-29, Daudi, PC-3, U-937, LNCaP, HeLa, PANC-1, MCF-7) following optimized protocols for nCounter multiomics. Protein targets were profiled using the new nCounter Tumor Signaling Panel plus Immune Pathways (500+ Abcam RabMab monoclonal antibodies) and combined with IO360 gene expression panel for integrated analysis. Using 5,000 - 20,000 lysed cells, we find high reproducibility between replicate lysate, with low coefficient of variation (CV) for RNA and protein across replicates. Sensitivity of detection was maintained down to 50 ng of RNA and 200 ng protein per lysate. As expected median Pearson correlation between RNA and protein expression for overlapping markers was R < 0.5, highlighting the high multiomics assay information content. In addition, integrated analysis of transcript and protein levels uncovered concordant activated pathways, including key post-translational modifications (PTMs). This study demonstrates the feasibility and utility of lysate-based multiomics using nCounter panels for oncology research. The approach provides a streamlined workflow for comprehensive molecular profiling, supporting translational studies and biomarker discovery.
利益披露 Disclosure
B. Filanoski, None.. L. Hamanishi, None.. G. Ong, None.. T. C. Theisen, None.. E. Piazza, None.. C. Bailey, None.. P. Divakar, None.. M. L. Hoang, None.. J. M. Beechem, None.

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