PO.TB04.01 · 肿瘤生物学

用于毒理学和功能研究的患者来源肝脏类器官生物样本库的开发与表征

Development and characterization of a patient-derived liver organoid biobank for toxicology and functional studies

海报缩略图:用于毒理学和功能研究的患者来源肝脏类器官生物样本库的开发与表征
编号 669 展板 17 时间 4/19 02:00–05:00 区域 Section 27 主讲 Rudra Bhowmick, MS;PhD
分会场 Ex Vivo Systems: Patient-Derived, Patient-Specific Tumor Cultures
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作者与单位 Authors & Affiliations

Rudra Bhowmick1, Benjamen O'Donnell1, Fong Cheng Pan1, Mahi Rahman1, Sameena Wani1, Willem Kools2, Vi Chu1

1MilliporeSigma, Temecula, CA,2MilliporeSigma, Burlington, MA

摘要 Abstract

中文摘要
肝脏是最大的实体内脏器官,执行众多关键功能。每年,肝脏疾病在全球夺去约200万人的生命(1)。用于研究肝脏生物学的传统模型,包括2D培养细胞系、原代细胞和3D球状体,无法准确代表体内代谢和结构的复杂性。此外,动物模型昂贵、耗时、效果不佳,并可能带来伦理困境。因此,迫切需要能够准确模拟组织特征的先进肝脏模型。类器官是自组织的3D结构,可复制原始组织的结构和功能(2)。患者来源类器官(PDO)与源组织高度相似,可能反映个体对治疗的反应。在本研究中,我们展示了由11个独立肝脏PDO系组成的生物样本库的开发与表征,这些细胞系捕捉了供体变异性,并增强了这些模型在毒理学研究中的适用性。在获得供体同意的情况下收集肝脏组织。通过改编先前发表的方案(3)创建PDO。简言之,将组织样本切碎、消化、过滤,与Matrigel(Corning)混合,并在肝脏PDO特异性生长培养基中培养。在合适时,使用定制培养基使未分化的PDO成熟。PDO系被有效扩增和冷冻保存,证明了其稳健性。所有细胞系均表达肝脏特异性生物标志物,经qPCR和共聚焦显微镜验证。每个细胞系均被确认无感染性病原体,并通过短串联重复分析验证为独特。成熟后,这些细胞系表现出白蛋白和尿素产量增加,以及可诱导的细胞色素P450(CYP)活性,证实了其功能成熟度。这些表型中的供体依赖性变异表明该生物样本库可能代表患者群体。还评估了4个肝脏PDO系对3种DILI药物的反应。基于这些结果,得出结论认为肝脏生物样本库是用于测试药物反应的稳健体外模型。我们的肝脏PDO生物样本库反映了患者群体,将成为制药客户的宝贵工具。我们已成功建立并表征了11个肝脏PDO系,进一步的表征工作正在进行中。这些PDO将显著推进我们对肝脏生物学和疾病机制的理解,在药物测试方面提供应用,包括DMPK和ADME/Tox研究。未来的举措将聚焦于规模化、开发特异性检测方法,以及从患有肝脏疾病(如肝细胞癌)的患者中创建PDO。 参考文献:1. Asrani等,2019。J. Hepatol. 2. Zhao等,2022。STAR Protocols 3. Broutier等,2016。Nature Protocols
查看英文原文 English abstract
Liver is the largest solid internal organ and performs numerous critical functions. Annually, liver diseases claim about 2 million lives globally (1). Traditional models for investigating liver biology, including 2D cultured cell lines, primary cells, and 3D spheroids, fail to accurately represent the in vivo metabolic and structural complexities. Additionally, animal models are expensive, time-consuming, ineffective, and may pose ethical dilemmas. Therefore, there is an urgent need for advanced liver models that can accurately mimic tissue characteristics.Organoids are self-organizing 3D structures that replicate the architecture and functionality of the original tissue (2). Patient-derived organoids (PDOs) closely resemble the source tissue and may reflect individual responses to therapy. In this study, we present the development and characterization of a biobank consisting of 11 individual liver PDO lines, which capture donor variability and enhance the applicability of these models for toxicology studies.Liver tissues were collected with donor consent. PDOs were created by adapting a previously published protocol (3). Briefly, tissue samples were minced, digested, filtered, combined with Matrigel (Corning), and cultured in liver PDO-specific growth media. When suitable, undifferentiated PDOs were matured using tailored media.PDO lines were effectively expanded and cryopreserved, demonstrating their robustness. All lines expressed liver-specific biomarkers, verified by qPCR and confocal microscopy. Each line was confirmed to be free of infectious agents and validated as unique via short tandem repeat analysis. Upon maturation, these lines exhibited increased albumin and urea production, along with inducible cytochrome P450 (CYP) activity, confirming their functional maturity. Donor-dependent variability in these phenotypes indicated that the biobank may represent the patient population. Four liver PDO lines were also evaluated for their response to 3 DILI drugs. Based on these results, the liver biobank was concluded to be a robust in vitro model for testing drug responses.Our liver PDO biobank reflects the patient population and will be a valuable tool for pharmaceutical clients. We have successfully established and characterized 11 liver PDO lines, with further characterization efforts ongoing. These PDOs will significantly advance our understanding of liver biology and disease mechanisms, offering applications in drug testing, including DMPK and ADME/ Tox studies. Future initiatives will focus on scaling up, developing specific assays, and creating PDOs from patients with liver conditions, such as hepatocellular carcinoma. References: 1.Asrani et al., 2019. J. Hepatol.2.Zhao et al., 2022. STAR Protocols3.Broutier et al., 2016. Nature Protocols
利益披露 Disclosure
R. Bhowmick, MilliporeSigma Employment. B. O'Donnell, MilliporeSigma Employment. F. Pan, MilliporeSigma Employment. M. Rahman, MilliporeSigma Employment. S. Wani, MilliporeSigma Employment. W. Kools, MilliporeSigma Employment. V. Chu, MilliporeSigma Employment.

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