Physical and Life Science Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
School of Natural Sciences, University of California Merced, Merced, CA, USA.
Methods Mol Biol. 2023;2598:187-196. doi: 10.1007/978-1-0716-2839-3_14.
Single-cell RNA sequencing (scRNA-seq) is highly dependent on cellular composition of a tissue of interest. For soft tissues, isolation of individual cells from the extracellular matrix (ECM) while retaining viability and minimizing degradation within subpopulations is well established. In contrast, articular cartilage is comprised of sparsely positioned chondrocytes embedded within a dense ECM high in glycosaminoglycans, proteoglycans, and many fibrous proteins such as collagens, elastin, fibronectin, and laminins. This densely packed ECM makes it difficult to isolate viable chondrocytes for further single-cell analysis. This protocol highlights a successful technique optimized for isolating chondrocytes from the articulated joints of rodent animal models using a series of enzymatic digestions and chondrocyte enrichment using a double negative selection process through florescence-activated cell sorting (FACS).
单细胞 RNA 测序 (scRNA-seq) 高度依赖于感兴趣组织的细胞组成。对于软组织,可以从细胞外基质 (ECM) 中分离单个细胞,同时保持细胞活力并最大限度地减少亚群内的降解,这已得到很好的证实。相比之下,关节软骨由稀疏排列的软骨细胞嵌入在富含糖胺聚糖、蛋白聚糖和许多纤维蛋白(如胶原蛋白、弹性蛋白、纤连蛋白和层粘连蛋白)的致密 ECM 中。这种高密度的 ECM 使得难以分离用于进一步单细胞分析的活软骨细胞。本方案重点介绍了一种成功的技术,该技术使用一系列酶消化和通过流式细胞分选 (FACS) 进行的双重阴性选择过程来富集软骨细胞,从而从啮齿动物模型的关节中分离出软骨细胞。