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mRNA 表达谱在巨大先天性黑色素痣中的转录组分析。

Transcriptomic analysis of mRNA expression in giant congenital melanocytic nevi.

机构信息

Department of Burns and Plastic Surgery, Xiang'an Hospital of Xiamen University, 2000 East Xiang 'an Road, Xiang 'an District, Xiamen city, China.

Department of General Surgery, The First Affiliated Hospital of Henan University of Science and Technology, 24 Jinghua Road, Jianxi District, Luoyang city, Henan Province, China.

出版信息

Gene. 2023 Jan 20;850:146894. doi: 10.1016/j.gene.2022.146894. Epub 2022 Sep 26.

Abstract

BACKGROUND AND OBJECTIVE

GCMN is a sporadic disease with an incidence ranging from 1/20,000 to 1/500000. So far, several studies have found that GCMN is related to somatic mutations, but most of them have focused on known pathogenic genes, and transcriptome sequencing based on large datasets is relatively uncommon. At present, the use of next-generation sequencing technologies and bioinformatics platforms makes genomic information study more comprehensive and efficient. In this study, the transcriptome differences between GCMN lesions and surrounding normal skin tissues were investigated using high-throughput transcriptome sequencing, and hub genes and pathways related to pathogenesis were identified, providing a theoretical foundation for further research into the pathogenesis of GCMN.

METHODS

Pathological skin tissue and surrounding normal skin tissue from GCMN patients, namely the pathological group (PG) and the control group (CG), were obtained. 1. All specimens were stained with HE to ensure that the samples met the experimental requirements. 2. Ten pairs of specimens were selected for high-throughput transcriptome sequencing, and the differentially expressed genes (DEGs) between the PG and the CG were obtained. The DEGs were analyzed by clusterProfiler R software for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The function of the subnetwork was analyzed and the hub genes were identified by the STRING database and Cytoscape software. 3. The expression differences of hub genes PTGS2, EGF, and SOX10 in pathological skin tissues and normal skin tissues were verified by qRT-PCR and immunofluorescence staining.

RESULTS

  1. HE staining revealed a lot of melanocytes in the dermis and subcutaneous tissues. They were found around the hair follicles, sweat glands, sebaceous glands, and blood vessel walls, or in a specific pattern. 2. The screening threshold was set at p < 0.01 and |log2fc|<1, and a total of 1163 DEGs were discovered between the PG and CG, with 519 genes up-regulated and 644 genes down-regulated in the pathological tissues. According to the GO functional analysis, 29 biological processes, 18 cell compositions, and 17 molecular functions were significantly enriched, with the majority of them being related to keratinocytes and the extracellular matrix. There were 779 nodes and 2359 interactions in the protein interaction network. Using the MCODE plug-in, the network was divided into 25 functional clusters. According to ClueGO results, Cluster5 was involved in melanin biosynthesis and melanocyte proliferation. Using 11 operation methods in the Cytohubba plug-in, PTGS2, EGF, and SOX10 in Cluster5 were chosen as hub genes. 3. qRT-PCR and immunofluorescent staining revealed that compared to normal skin tissue, the expression of SOX10 was significantly up-regulated, and the expression of PTGS2 and EGF was significantly down-regulated in pathological skin tissue(P < 0.001).

CONCLUSIONS

In GCMN, keratinocytes and extracellular matrix may directly and indirectly affect melanocyte activity. PTGS2, EGF, and SOX10 are important genes and significantly differentially expressed in pathological and normal skin tissues. These findings may serve as a springboard for future research.

摘要

背景与目的

GCMN 是一种散发疾病,发病率为 1/20000 至 1/500000。到目前为止,已有几项研究发现 GCMN 与体细胞突变有关,但大多数研究都集中在已知的致病基因上,基于大型数据集的转录组测序相对较少。目前,使用下一代测序技术和生物信息学平台使基因组信息研究更加全面和高效。在这项研究中,我们通过高通量转录组测序研究了 GCMN 病变组织与周围正常皮肤组织之间的转录组差异,并确定了与发病机制相关的枢纽基因和途径,为进一步研究 GCMN 的发病机制提供了理论基础。

方法

从 GCMN 患者的病理皮肤组织和周围正常皮肤组织中获得 PG 和 CG 两组标本。1. 所有标本均经 HE 染色,以确保标本符合实验要求。2. 选择 10 对标本进行高通量转录组测序,获得 PG 和 CG 之间的差异表达基因(DEGs)。使用 ClusterProfiler R 软件对 DEGs 进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)途径分析。通过 STRING 数据库和 Cytoscape 软件分析子网络的功能,并识别枢纽基因。3. 通过 qRT-PCR 和免疫荧光染色验证了 PG 和 CG 中枢纽基因 PTGS2、EGF 和 SOX10 在病理性皮肤组织和正常皮肤组织中的表达差异。

结果

  1. HE 染色显示真皮和皮下组织中有大量黑素细胞。它们在毛囊、汗腺、皮脂腺和血管壁周围或在特定模式中发现。2. 筛选阈值设定为 p < 0.01 和 |log2fc| < 1,在 PG 和 CG 之间共发现了 1163 个 DEGs,其中 519 个基因上调,644 个基因下调。根据 GO 功能分析,有 29 个生物学过程、18 个细胞组成和 17 个分子功能显著富集,其中大多数与角质形成细胞和细胞外基质有关。蛋白质相互作用网络中有 779 个节点和 2359 个相互作用。使用 MCODE 插件,网络被分为 25 个功能簇。根据 ClueGO 结果,Cluster5 参与了黑色素生物合成和黑素细胞增殖。使用 Cytohubba 插件中的 11 种操作方法,选择 Cluster5 中的 PTGS2、EGF 和 SOX10 作为枢纽基因。3. qRT-PCR 和免疫荧光染色显示,与正常皮肤组织相比,PG 中 SOX10 的表达明显上调,PTGS2 和 EGF 的表达明显下调(P < 0.001)。

结论

在 GCMN 中,角质形成细胞和细胞外基质可能直接和间接地影响黑素细胞的活性。PTGS2、EGF 和 SOX10 是病理性和正常皮肤组织中重要的差异表达基因。这些发现可能为未来的研究提供新的思路。

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