Single-cell transcriptome-based analysis reveals hub genes and key pathways in acute B-lymphoblastic leukemia

<p><span>急性</span><span>B </span><span>淋巴细胞白血病(</span><span>Acute B Lymphoblastic Leukemia B-ALL</span><span>)发病机制复杂,与基因突变和信号通路的异常密切相关。本研究旨在对</span><span>B-ALL</span><span>患者的基因表达和信号通路进行系统分析,我们期望揭示疾病发生和发展的分子机理,为临床治疗提供新的靶点。</span><span>在</span><span>GSE130116</span><span>数据集中,通过使用特定标记基因鉴定</span><span>B</span><span>细胞亚型。应用高维加权基因共表达网络分析(</span><span>high-definition Weighted Gene Co-expression Network Analysis hdWGCNA</span><span>)对单细胞</span><span><span>RNA</span></span><span><span>测序(</span><span>single-cell RNA sequencing</span><span> <span>&nbsp;</span>scRNA-seq</span></span><span><span>)</span></span><span>数据进行细胞亚群聚类和基因模块关联,结合伪时间轨迹分析,以确定与</span><span>B-ALL</span><span>相关的关键细胞状态和基因模块。基因组富集分析识别与基因模块相关的生物过程。使用用于活性推断的通路响应基因(</span><span>Pathway RespOnsive GENes for activity inference PROGENy</span><span>)软件包用于基于单细胞转录组数据推断通路活性。分析伪时序变化中的关键基因,并用</span><span>FindMarkers</span><span>函数进行差异表达分析,识别不同伪时间状态中显著变化的基因。</span></p>