Quantitative representation of glycosaminoglycans synthesized in vitro by chondrocytes of different genesis

The presented proteomic data in combination with enzyme-linked immunosorbent assay (ELISA) results provide a complete picture of the qualitative and quantitative composition of glycosaminoglycans in samples of chondrocyte-like induced pluripotent stem cells (IPSCs) derivatives and native chondrocytes, which can be used for the correction of cartilage defects. The resulting dataset includes processed liquid chromatography–mass spectrometry (LC-MS) data including proteomic profiles of cell cultures of native chondrocytes isolated from biopsy specimens of both healthy donors and patients with different variants of osteoarthritis, as well as their 3D cell cultures - spheroids. Similar profiles were obtained for 2D and 3D cultures of human pluripotent stem cells (hPSCs) and chondrocyte-like derivatives differentiated from hPSCs. Proteomic profiles contain information about glycosaminoglycans of the investigated cells. In parallel, cells were prepared for ELISA glucosaminglycans (GAGs) assay, which allows us to confirm the results of in silico experiments. The obtained array of proteomic data on chondrocytes of various genesis and chondrocyte-like derivatives of hPSCs allows us to identify key signaling pathways affecting the content of GAGs, which can be used to optimize hPSCs directed differentiation protocols to increase their efficiency, safety and scalability.

本研究呈现的蛋白质组学数据结合酶联免疫吸附试验（enzyme-linked immunosorbent assay, ELISA）结果，完整揭示了软骨细胞样诱导多能干细胞（induced pluripotent stem cells, IPSCs）衍生物及原代软骨细胞样本中糖胺聚糖（glycosaminoglycans）的定性与定量组成特征，该数据集可用于软骨缺损的修复研究。所得数据集包含经处理的液相色谱-质谱联用技术（liquid chromatography–mass spectrometry, LC-MS）数据，涵盖从健康供体及不同类型骨关节炎患者活检标本中分离的原代软骨细胞的细胞培养物蛋白质组图谱，以及其三维细胞培养物（球状体）的相关图谱。此外，还获取了人类多能干细胞（human pluripotent stem cells, hPSCs）的二维及三维培养物，以及由hPSCs分化而来的软骨细胞样衍生物的类似蛋白质组图谱。这些蛋白质组图谱包含所研究细胞的糖胺聚糖相关信息。同时，研究人员制备了用于ELISA糖胺聚糖（glycosaminoglycans, GAGs）检测的细胞样本，以验证计算机模拟实验的结果。该数据集涵盖了不同来源软骨细胞及hPSCs衍生软骨细胞样衍生物的蛋白质组学数据，可用于识别影响糖胺聚糖含量的关键信号通路，进而优化hPSCs定向分化方案，提升其效率、安全性与可扩展性。