G.E.R.N. Research Center for Tissue Replacement, Regeneration & Neogenesis, Department of Orthopedics and Trauma Surgery, Faculty of Medicine, Medical Center-Albert-Ludwigs-University of Freiburg, Freiburg im Breisgau, Germany.
Faculty of Biology, University of Freiburg, Freiburg im Breisgau, Germany.
Front Immunol. 2023 Feb 13;14:1102912. doi: 10.3389/fimmu.2023.1102912. eCollection 2023.
Little is known how inflammatory processes quantitatively affect chondrocyte morphology and how single cell morphometric data could be used as a biological fingerprint of phenotype.
We investigated whether trainable high-throughput quantitative single cell morphology profiling combined with population-based gene expression analysis can be used to identify biological fingerprints that are discriminatory of control vs. inflammatory phenotypes. The shape of a large number of chondrocytes isolated from bovine healthy and human osteoarthritic (OA) cartilages was quantified under control and inflammatory (IL-1β) conditions using a trainable image analysis technique measuring a panel of cell shape descriptors (area, length, width, circularity, aspect ratio, roundness, solidity). The expression profiles of phenotypically relevant markers were quantified by ddPCR. Statistical analysis, multivariate data exploration, and projection-based modelling were used for identifying specific morphological fingerprints indicative of phenotype.
Cell morphology was sensitive to both cell density and IL-1β. In both cell types, all shape descriptors correlated with expression of extracellular matrix (ECM)- and inflammatory-regulating genes. A hierarchical clustered image map revealed that individual samples sometimes responded differently in control or IL-1β conditions than the overall population. Despite these variances, discriminative projection-based modeling revealed distinct morphological fingerprints that discriminated between control and inflammatory chondrocyte phenotypes: the most essential morphological characteristics attributable to non-treated control cells was a higher cell aspect ratio in healthy bovine chondrocytes and roundness in OA human chondrocytes. In contrast, a higher circularity and width in healthy bovine chondrocytes and length and area in OA human chondrocytes indicated an inflammatory (IL-1β) phenotype. When comparing the two species/health conditions, bovine healthy and human OA chondrocytes exhibited comparable IL-1β-induced morphologies in roundness, a widely recognized marker of chondrocyte phenotype, and aspect ratio.
Overall, cell morphology can be used as a biological fingerprint for describing chondrocyte phenotype. Quantitative single cell morphometry in conjunction with advanced methods for multivariate data analysis allows identifying morphological fingerprints that can discriminate between control and inflammatory chondrocyte phenotypes. This approach could be used to assess how culture conditions, inflammatory mediators, and therapeutic modulators regulate cell phenotype and function.
炎症过程如何定量影响软骨细胞形态以及单细胞形态计量数据如何用作表型的生物指纹尚不清楚。
我们研究了可训练的高通量单细胞形态分析与基于群体的基因表达分析相结合,是否可用于鉴定具有区分对照与炎症表型的鉴别能力的生物指纹。使用可训练的图像分析技术,对从牛健康和人骨关节炎(OA)软骨中分离的大量软骨细胞,在对照和炎症(IL-1β)条件下的形状进行定量,该技术可测量一系列细胞形状描述符(面积、长度、宽度、圆度、纵横比、圆形度、密实度)。通过 ddPCR 定量表型相关标记物的表达谱。使用统计分析、多元数据探索和基于投影的建模来识别指示表型的特定形态指纹。
细胞形态对细胞密度和 IL-1β均敏感。在两种细胞类型中,所有形状描述符均与细胞外基质(ECM)和炎症调节基因的表达相关。层次聚类图像映射显示,个别样本在对照或 IL-1β条件下的反应有时与总体群体不同。尽管存在这些差异,但有鉴别力的基于投影的建模揭示了可区分对照和炎症软骨细胞表型的独特形态指纹:未经处理的对照细胞的最基本形态特征是健康牛软骨细胞的更高细胞纵横比和 OA 人软骨细胞的圆形度。相比之下,健康牛软骨细胞的更高圆形度和宽度以及 OA 人软骨细胞的长度和面积表明为炎症(IL-1β)表型。当比较两种物种/健康状况时,健康牛和 OA 人软骨细胞在圆度(公认的软骨细胞表型标志物)和纵横比方面表现出相似的 IL-1β诱导形态,这是一种常见的形态。
总体而言,细胞形态可用作描述软骨细胞表型的生物指纹。单细胞形态计量的定量分析与用于多元数据分析的高级方法相结合,可以鉴定可区分对照与炎症软骨细胞表型的形态指纹。这种方法可用于评估培养条件、炎症介质和治疗调节剂如何调节细胞表型和功能。