Rich Joshua A, Fan Yu, Chen Qingrong, Meerzaman Daoud, Stetler-Stevenson William G, Peeney David
Extracellular Matrix Pathology Section, Laboratory of Pathology, National Cancer Institute, National Institute of Health, Bethesda, MD, United States.
Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics & Information Technology, National Cancer Institute, National Institute of Health, Rockville, MD, United States.
Matrix Biol Plus. 2024 Jun 27;23:100156. doi: 10.1016/j.mbplus.2024.100156. eCollection 2024 Aug.
Extracellular matrix remodeling is a hallmark of tissue development, homeostasis, and disease. The processes that mediate remodeling, and the consequences of such, are the topic of extensive focus in biomedical research. Cell culture methods represent a crucial tool utilized by those interested in matrisome function, the easiest of which are implemented with immortalized/cancer cell lines. These cell lines often form the foundations of a research proposal, or serve as vehicles of validation for other model systems. For these reasons, it is important to understand the complement of matrisome genes that are expressed when identifying appropriate cell culture models for hypothesis testing. To this end, we harvested bulk RNA sequencing data from the Cancer Cell Line Encyclopedia (CCLE) to assess matrisome gene expression in 1019 human cell lines. Our examination reveals that a large proportion of the matrisome is poorly represented in human cancer cell lines, with approximately 10% not expressed above threshold in any of the cell lines assayed. Conversely, we identify clusters of essential/common matrisome genes that are abundantly expressed in cell lines. To validate these observations against tissue data, we compared our findings with bulk RNA sequencing data from the Genotype-Tissue Expression (GTEx) portal and The Cancer Genome Atlas (TCGA) program. This comparison demonstrates general agreement between the "essential/common" and "dark/uncommon" matrisome across the three datasets, albeit with discordance observed in 59 matrisome genes between cell lines and tissues. Notably, all of the discordant genes are essential/common in tissues yet minimally expressed in cell lines, underscoring critical considerations for matrix biology researchers employing immortalized cell lines for their investigations.
细胞外基质重塑是组织发育、稳态和疾病的一个标志。介导重塑的过程及其后果是生物医学研究广泛关注的主题。细胞培养方法是研究基质组功能的人员所使用的一种关键工具,其中最简便的方法是利用永生化/癌细胞系来实施。这些细胞系常常构成研究计划的基础,或作为其他模型系统的验证载体。出于这些原因,在为假设检验确定合适的细胞培养模型时,了解所表达的基质组基因的互补情况很重要。为此,我们从癌症细胞系百科全书(CCLE)收集了大量RNA测序数据,以评估1019个人类细胞系中的基质组基因表达。我们的研究表明,很大一部分基质组在人类癌细胞系中的代表性很差,约10%在任何检测的细胞系中都未表达至阈值以上。相反,我们鉴定出在细胞系中大量表达的必需/常见基质组基因簇。为了根据组织数据验证这些观察结果,我们将我们的发现与来自基因型-组织表达(GTEx)门户和癌症基因组图谱(TCGA)项目的大量RNA测序数据进行了比较。这种比较表明,在这三个数据集中,“必需/常见”和“暗/不常见”基质组之间总体一致,尽管在细胞系和组织之间的59个基质组基因中观察到不一致。值得注意的是,所有不一致的基因在组织中都是必需/常见的,但在细胞系中表达极少,这突出了基质生物学研究人员在使用永生化细胞系进行研究时的关键考虑因素。