Trans-omics analysis of the difference between Cortical and Trabecular bone.

在这项研究中，我们使用生物信息学方法，结合反式组学分析和Matrisome数据库，研究了皮质骨和松质骨在细胞外基质组成和相关调控网络方面的差异。在此期间，建立了FASTQ文件分析流程，并进行了基因读取计数试验。完成了用于加权基因共表达网络分析的RNA测序环境的设置，以识别在不同样本中表现出相似表达模式的基因模块或组。该方法根据基因-基因连接的共表达关系的强度为其赋予权重，通过识别模块内的关键基因并阐明其在特定生物途径或疾病中的潜在作用，从而识别高度相互关联的基因模块以及潜在的生物过程的功能关系和调控机制。DESeq2/LIMMA用于折叠变化和基因列表环境，用于路径分析，以进行丰富分析和可视化结果，以深入了解骨骼生物系统，并确定潜在的治疗干预靶点。

In this study, a bioinformatic methodology employing trans-omics analysis and the Matrisome database is being employed to investigate the differences in extracellular matrix composition and the associated regulatory networks between cortical and trabecular bone.During this period, FASTQ files analysis workflow was stablished and Gene Read Counts trials were performed. RNA sequencing environment for Weighted gene co-expression network analysis setting was completed to identify modules or groups of genes that exhibit similar expression patterns across different samples. This method assigns weights to gene-gene connections based on the strength of their co-expression relationships, allowing the identification of highly interconnected gene modules and the functional relationships and regulatory mechanisms underlying biological processes by identifying key genes within modules and elucidating their potential roles in specific biological pathways or diseases.DESeq2/Limma for fold change and gene list environment was set for Pathway analysis to perform enrichment analysis and visualize the results, to gain insights into the bone biological systems and to identify potential targets for therapeutic intervention.