对癌症细胞系和组织 RNA 测序数据的分析揭示了一个重要的暗物质矩阵组

Q1 Medicine Matrix Biology Plus Pub Date : 2024-06-27 DOI:10.1016/j.mbplus.2024.100156
Joshua A. Rich , Yu Fan , Qingrong Chen , Daoud Meerzaman , William G. Stetler-Stevenson , David Peeney
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引用次数: 0

摘要

细胞外基质重塑是组织发育、平衡和疾病的标志。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重要工具,其中最简单的是使用永生化/癌细胞系。这些细胞系通常是研究提案的基础,或作为其他模型系统的验证工具。出于这些原因,在确定用于假设检验的适当细胞培养模型时,了解表达的基质组基因补体非常重要。为此,我们从癌症细胞系百科全书(CCLE)中获取了大量 RNA 测序数据,以评估 1019 个人类细胞系中 matrisome 基因的表达情况。我们的研究发现,大部分 matrisome 基因在人类癌症细胞系中的表达量很低,约有 10% 的基因在任何细胞系中的表达量都没有超过阈值。相反,我们发现了在细胞系中大量表达的基本/常见 matrisome 基因簇。为了将这些观察结果与组织数据进行验证,我们将研究结果与基因型-组织表达(GTEx)门户网站和癌症基因组图谱(TCGA)计划中的大量 RNA 测序数据进行了比较。比较结果表明,这三个数据集的 "基本/常见 "和 "暗/不常见 "矩阵组之间基本一致,但细胞系和组织间的59个矩阵组基因存在不一致。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,但在细胞系中却表达极少,这突出了基质生物学研究人员在使用永生细胞系进行研究时需要考虑的重要因素。
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Analysis of cancer cell line and tissue RNA sequencing data reveals an essential and dark matrisome

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.

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来源期刊
Matrix Biology Plus
Matrix Biology Plus Medicine-Histology
CiteScore
9.00
自引率
0.00%
发文量
25
审稿时长
105 days
期刊最新文献
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