Pastrana-Otero Isamar, Godbole Apurva R, Kraft Mary L
Department of Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA.
Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA.
Analyst. 2025 May 12;150(10):2047-2057. doi: 10.1039/d4an00800f.
Microscale screening platforms that allow cells to interact in three dimensions (3D) with their microenviroment have been developed as a tool for identifying the extrinsic cues that might stimulate stem cells to replicate without differentiating within artificial cultures. Though these platforms reduce the number of valuable stem cells that must be used for screening, analyzing the fate decisions of cells in these platforms can be challenging. New noninvasive approaches for identifying the lineage-specific differentiation stages of cells while they are entrapped in the hydrogels used for these 3D cultures are especially needed. Here we used Raman spectra acquired from individual, living cells entrapped within a hydrogel matrix and multivariate analysis to identify cell phenotype noninvasively and . We collected a single Raman spectrum from each cell of interest while it was entrapped within a hydrogel matrix and used partial least-squares discriminant analysis (PLS-DA) of the spectra for cell phenotype identification. We first demonstrate that this approach enables identifying the lineages of individual, living cells from different laboratory lines entrapped within two different hydrogels that are used for 3D culture, collagen and gelatin methacrylate (gelMA). Then we use a hematopoietic progenitor cell line that differentiates into different types of macrophages to show that the lineage-specific differentiation stages of individual, living hematopoietic cells entrapped inside of gelMA scaffolds may be identified by PLS-DA of Raman spectra. This ability to noninvasively identify the lineage-specific differentiation stages of cells without removing them from a 3D culture could enable tracking the differentiation of the same cell over time.
微尺度筛选平台能够使细胞在三维(3D)空间中与其微环境相互作用,该平台已被开发为一种工具,用于识别可能刺激干细胞在人工培养中进行复制而不分化的外在信号。尽管这些平台减少了筛选所需的宝贵干细胞数量,但分析这些平台中细胞的命运决定可能具有挑战性。尤其需要新的非侵入性方法来识别被困在用于这些3D培养的水凝胶中的细胞的谱系特异性分化阶段。在这里,我们使用从被困在水凝胶基质中的单个活细胞获取的拉曼光谱和多变量分析来非侵入性地识别细胞表型。我们在每个感兴趣的细胞被困在水凝胶基质中时收集其单个拉曼光谱,并使用光谱的偏最小二乘判别分析(PLS-DA)来识别细胞表型。我们首先证明,这种方法能够从被困在用于3D培养的两种不同水凝胶(胶原蛋白和甲基丙烯酸明胶(gelMA))中的不同实验室系的单个活细胞中识别其谱系。然后,我们使用分化为不同类型巨噬细胞的造血祖细胞系来表明,通过拉曼光谱的PLS-DA可以识别被困在gelMA支架内的单个活造血细胞的谱系特异性分化阶段。这种在不将细胞从3D培养中取出的情况下非侵入性识别细胞谱系特异性分化阶段的能力,可以实现对同一细胞随时间的分化进行跟踪。