Chinese Journal of Tissue Engineering Research ›› 2026, Vol. 30 ›› Issue (25): 6455-6462.doi: 10.12307/2026.475
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Li Haojie1, Xie Tongliang1, Li Rui1, Sun Zuyan1, Deng Jiang1, Xu Lin1, Huang Wenliang2
Received:2025-10-15
Revised:2026-03-09
Online:2026-09-08
Published:2026-04-17
Contact:
Huang Wenliang, PhD candidate, Master’s supervisor, Chief physician, Kweichow Moutai Hospital, Renhuai 564500, Guizhou Province, China
About author:Li Haojie, MS candidate, The Third Affiliated Hospital of Zunyi Medical University, Zunyi 563000, Guizhou Province, China
Supported by:CLC Number:
Li Haojie, Xie Tongliang, Li Rui, Sun Zuyan, Deng Jiang, Xu Lin, Huang Wenliang. Transcriptome sequencing analysis of tibial transverse transport in a rabbit model of diabetic foot ulcers[J]. Chinese Journal of Tissue Engineering Research, 2026, 30(25): 6455-6462.
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2.1 兔糖尿病足溃疡愈合情况、转录组测序以及全血差异miRNA和差异基因筛选 胫骨横向骨搬移术治疗显著促进了糖尿病足溃疡伤口的愈合,图1A,B。 采集手术组和假手术组兔外周血并进行全转录组测序。采用多层级质控体系确保数据可靠性。通过琼脂糖凝胶电泳和NanoDrop ND-1000分光光度计对总RNA样品进行完整性检测和纯度评估(A260/A280≈1.8-2.0,A260/A230 > 1.8)。文库构建阶段采用链特异性建库方法(KAPA Stranded RNA-Seq Kit),经Agilent 2100 Bioanalyzer验证文库片段分布(400-600 bp)并通过qPCR精确定量。测序数据质控显示所有样本Q30碱基比例均> 94%(Illumina NovaSeq 6000平台,PE150),比对率达62.93%-83.31%(Hisat2比对至OryCun2参考基因组)。 根据测序结果,以adj.P < 0.05和|logFC|≥0.5为筛选阈值,共鉴定出9个显著差异表达的miRNA和2 667个显著差异表达的mRNA,其中7个miRNA(ocu-miR-12095-3p,ocu-miR-150-5p,ocu-miR-182-5p,ocu-miR-183-5p,ocu-miR-205-5p,ocu-miR-33a-3p,ocu-miR-96-5p)和2 520个mRNA(GLIPR2,CLTA等)在手术组显著下调;2个miRNA(ocu-miR-135b-5p,ocu-miR-340-3p)和147个mRNA(SLC43A2,TRAK2等)在手术组显著上调。图1C,D分别展示了差异miRNA和差异mRNA分析结果的火山图。图1E,F分别展示了差异miRNA和差异mRNA分析结果的热图。表1展示了差异miRNA和TOP 20差异mRNA的详细信息。 2.2 miRNA-mRNA调控网络的构建 使用TargetScan和miRNADA软件预测miRNA的靶基因。将差异分析结果数据和预测的靶基因结果整合并使用Cytoscape软件(V3.10.0)构建miRNA-mRNA调控网络(图2)。该网络图包含86个点和83条边,其中7个V形点代表miRNA,79个椭圆形点代表mRNA,粉红色点代表RNA上调,蓝色点代表RNA下调。 根据miRNA-mRNA调控网络,SL10A7 (miR-135b-5p,miR-340-3p)、ARHGEF12(miR-12095-3p,miR-150-5p)、NXT2(miR-12095-3p,miR-182-5p)、USP7 (miR-205-5p,miR-150-5p)同时被2个miRNA调控。miR-12095-3p(ARHGEF12,NXT2,PAPSS2)和miR-150-5p(ARHGEF12,PACSIN2,USP7)同时调控3个靶基因。miR-182-5p (NXT2,RMND5A)和miR-205-5p(TRAK2,USP7)同时调控2个靶基因。 2.3 靶基因富集分析 利用KOBAS在线工具对miRNA-mRNA调控网络图中的79个靶基因进行京都基因与基因组百科全书富集分析,结果显示这些基因主要参与了代谢通路、内质网中的蛋白质加工、FoxO信号通路、丙酸代谢、N-聚糖生物合成等生物"
途径或信号通路(图3)。目前已有研究报道了p-FOXO在愈合组织中高表达,提示富集分析结果的准确性[20]。 2.4 蛋白-蛋白相互作用分析 利用String在线工具对miRNA-mRNA调控网络图中的79个靶基因进行蛋白-蛋白相互作用分析。使用Cytoscape软件进行可视化分析,得到了一个包含67个点和143条边的蛋白-蛋白相互作用调控网络图(图4)。图中颜色越红,说明关联的蛋白数目越多。 2.5 核心靶基因筛选 使用Cytohubba插件中的MCC和Degree算法鉴定网络图中的核心基因(图5A,B),最终BAG3、AKT3、PPP4C、SEC61A1、DNAJC3、USP7、DAD1、SETD7同时被两种算法鉴定为核心靶基因(图5C)。"
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