Evaluation of microcarriers as a 3D platform for differentiation of iPSC into pancreatic islet-like clusters

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Nyna Kawles , Danton Freire-Flores , Pablo Caviedes , Juan A. Asenjo , Barbara A. Andrews
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Abstract

Scalable production of stem cell-derived β-like cells is essential for advancing iPSC-based therapies for type 1 diabetes. Microcarriers offer a promising strategy for bioprocess intensification due to their high surface-to-volume ratio and compatibility with suspension bioreactors. This study evaluated whether microcarriers can support the direct differentiation of induced pluripotent stem cells (iPSC) into β-like cells under dynamic conditions. iPSC were cultured on Cytodex-1 microcarriers in spinner flasks and differentiated using two protocols: Hogrebe et al. and Velazco-Cruz et al. Differentiation efficiency and marker expression were assessed via flow cytometry and immunohistochemistry. Due to poor differentiation outcomes, an alternative approach was tested: iPSC were first differentiated into pancreatic progenitor cells (PPCs) in 2D, enriched for GP2+ cells via MACS, and then expanded on microcarriers. Neither protocol induced β-cell maturation on microcarriers, as shown by poor cell adhesion and absence of key markers. However, microcarriers supported robust expansion of GP2+ PPCs, with higher proliferation rates and preservation of PDX1+ and NKX6.1+ profiles compared to 2D culture. This expansion stage provides a critical intermediate for scalable α and β-like cell production, facilitating large-scale PPC generation for subsequent aggregation and terminal differentiation—though this was not tested in this study. This strategy offers a scalable upstream solution for producing high-quality precursor cells for islet-like cluster formation in future therapeutic applications.
微载体作为诱导多能干细胞分化为胰岛样细胞簇的三维平台的评价
大规模生产干细胞衍生的β样细胞对于推进基于ipsc的1型糖尿病治疗至关重要。微载体由于其高表面体积比和与悬浮生物反应器的相容性,为生物过程强化提供了一种很有前途的策略。本研究评估微载体能否支持诱导多能干细胞(iPSC)在动态条件下直接向β样细胞分化。iPSC在旋转瓶的Cytodex-1微载体上培养,并采用Hogrebe等和Velazco-Cruz等两种方法进行分化。通过流式细胞术和免疫组织化学检测分化效率和标志物表达。由于分化效果不佳,我们测试了另一种方法:iPSC首先在2D中分化为胰腺祖细胞(PPCs),通过MACS富集为GP2+细胞,然后在微载体上扩增。两种方案都没有诱导微载体上的β细胞成熟,这表明细胞粘附性差和缺乏关键标记物。然而,与2D培养相比,微载体支持GP2+ PPCs的强劲扩增,具有更高的增殖率和PDX1+和NKX6.1+谱的保存。这个扩展阶段为可扩展的α和β样细胞生产提供了一个关键的中间阶段,促进了随后聚集和终端分化的大规模PPC生成,尽管这在本研究中没有进行测试。该策略为生产高质量的前体细胞提供了一种可扩展的上游解决方案,用于未来治疗应用中胰岛样簇的形成。
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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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