El Khaled El Faraj Razan, Chakraborty Shraddha, Zhou Meijun, Sobol Morgan, Thiele David, Shatford-Adams Lilly M, Correa Cassal Maximiano, Kaster Anne-Kristin, Dietrich Sascha, Levkin Pavel A, Popova Anna A
Institute of Biological and Chemical Systems-Functional Molecular Systems, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi, 110016, India.
Adv Healthc Mater. 2025 Jan;14(1):e2401820. doi: 10.1002/adhm.202401820. Epub 2024 Oct 23.
Drug-induced differential gene expression analysis (DGEA) is essential for uncovering the molecular basis of cell phenotypic changes and understanding individual tumor responses to anticancer drugs. Performing high throughput DGEA is challenging due to the high cost and labor-intensive multi-step sample preparation protocols. In particular, performing drug-induced DGEA on cancer cells derived from patient biopsies is even more challenging due to the scarcity of available cells. A novel, miniaturized, nanoliter-scale method for drug-induced DGEA is introduced, enabling high-throughput and parallel analysis of patient-derived cell drug responses, overcoming the limitations and laborious nature of traditional protocols. The method is based on the Droplet Microarray (DMA), a microscope glass slide with hydrophilic spots on a superhydrophobic background, facilitating droplet formation for cell testing. DMA allows microscopy-based phenotypic analysis, cDNA extraction, and DGEA. The procedure includes cell lysis for mRNA isolation and cDNA conversion followed by droplet pooling for qPCR analysis. In this study, the drug-induced DGEA protocol on the DMA platform is demonstrated using patient-derived chronic lymphocytic leukemia (CLL) cells. This methodology is critical for DGEA with limited cell numbers and promise for applications in functional precision oncology. This method enables molecular profiling of patient-derived samples after drug treatment, crucial for understanding individual tumor responses to anticancer drugs.
药物诱导的差异基因表达分析(DGEA)对于揭示细胞表型变化的分子基础以及理解个体肿瘤对抗癌药物的反应至关重要。由于成本高昂且多步骤样本制备方案耗费人力,进行高通量DGEA具有挑战性。特别是,由于可用细胞稀缺,对源自患者活检的癌细胞进行药物诱导的DGEA更具挑战性。本文介绍了一种新颖的、小型化的、纳升级的药物诱导DGEA方法,能够对患者来源的细胞药物反应进行高通量并行分析,克服了传统方案的局限性和繁琐性。该方法基于液滴微阵列(DMA),即在超疏水背景上具有亲水性斑点的显微镜载玻片,便于形成用于细胞测试的液滴。DMA允许基于显微镜的表型分析、cDNA提取和DGEA。该过程包括细胞裂解以分离mRNA并进行cDNA转换,然后进行液滴合并以进行qPCR分析。在本研究中,使用患者来源的慢性淋巴细胞白血病(CLL)细胞在DMA平台上展示了药物诱导的DGEA方案。这种方法对于细胞数量有限的DGEA至关重要,并有望应用于功能精准肿瘤学。该方法能够对药物治疗后的患者来源样本进行分子分析,这对于理解个体肿瘤对抗癌药物的反应至关重要。