生物技术进展 ›› 2023, Vol. 13 ›› Issue (1): 131-139.DOI: 10.19586/j.2095-2341.2022.0083

• 研究论文 • 上一篇    下一篇

胎儿早期小鼠无疤痕愈合的数据转录组学分析

王振1,2,3(), YAO Mawulikplimi Adzavon1,2,3(), 刘梓嘉1,2,3, 刘梦昱1,2,3, 谢飞1,2,3, 马雪梅1,2,3, 赵鹏翔1,2,3()   

  1. 1.北京工业大学环境与生命学部,北京 100124
    2.北京氢分子研究中心,北京 100124
    3.抗病毒药物北京市国际科技合作基地,北京 100124
  • 收稿日期:2022-05-19 接受日期:2022-06-30 出版日期:2023-01-25 发布日期:2023-02-07
  • 通讯作者: 赵鹏翔
  • 作者简介:王振 E-mail:15128475758@163.com
    Yao Mawulikplimi Adzavon E-mail:yaoadzavon@yahoo.fr第一联系人:(王振、Yao Mawulikplimi Adzavon并列第一作者)
  • 基金资助:
    国家自然科学基金项目(81602408);军事后勤重点开放研究项目(BHJ17L018)

GEO Dataset Transcriptomics Analysis for Early Gestational Fetal Scarless Healing Pattern of Mice

Zhen WANG1,2,3(), Mawulikplimi Adzavon YAO1,2,3(), Zijia LIU1,2,3, Mengyu LIU1,2,3, Fei XIE1,2,3, Xuemei MA1,2,3, Pengxiang ZHAO1,2,3()   

  1. 1.Faculty of Environment and Life,Beijing University of Technology,Beijing 100124,China
    2.Beijing Molecular Hydrogen Research Center,Beijing 100124,China
    3.Beijing International Science and Technology,Cooperation Base of Antivirus Drug,Beijing 100124,China
  • Received:2022-05-19 Accepted:2022-06-30 Online:2023-01-25 Published:2023-02-07
  • Contact: Pengxiang ZHAO

摘要:

已有研究显示,胎龄小于14 d的小鼠胎儿皮肤能够实现无疤痕创伤愈合。深入研究胎儿无疤痕愈合的分子机理,对于伤口护理方法优化与创伤医学的发展至关重要。利用已有数据库进行不同胎龄的小鼠皮肤组织转录组深入挖掘是常用的研究方法之一。从基因表达综合数据库(gene expression omnibus,GEO)在线数据库中寻找适合无疤痕愈合研究的基因表达谱芯片(GSE71619),其中包含胎龄14 d(E14)、胎龄18 d(E18)和6周龄成年鼠(W6)的皮肤组织样本。分别将无疤痕愈合(E14)与疤痕愈合皮肤组(E18+W6)对比分析,筛选差异表达基因(differential genes,DEGs),获得了4 654个DEGs(|log2 FC|≥1,P<0.05)。通过维恩图分析和基因功能注释确定了228个候选基因,并分为4个不同的Cluster。进一步重点分析了Cluster 3中涉及的基因:对于E14组,上调基因主要与促进伤口愈合的组织重塑和细胞外基质(extracellular matrix,ECM)形成功能相关。通过蛋白互作网络分析,确定了17个属于胶原家族和成纤维细胞迁移相关基因的关键基因。研究结果揭示了ECM的重塑和成纤维细胞活化在早期妊娠胎儿无疤痕愈合模式中的重要性,并筛选出可能的关键基因,为无疤痕伤口护理和创伤、医美领域提供了重要实验依据。

关键词: 无疤痕愈合, GEO数据集分析, 妊娠胎儿, 基因富集

Abstract:

Fetal skin heals scarlessly before a certain gestational age. For murine fetus, the cutoff gestational age of scarless healing is usually 14 days. Understanding and taking advantage of fetal scarless healing is critical for skin wound care and therapeutic trauma medicine development. Transcriptome analysis of different stages of fetal skin tissue should be one of the best ways towards such goals. Starting with the public Gene Expression Omnibus (GEO) microarray dataset GSE71619, which includes skin samples of mouse fetuses at day 14 of embryonic development (E14), day 18 of embryonic development (E18), and adult mice (W6), the differential expressed genes (DEGs) were screened from the E14 (normally scarless skin) and (E18+W6) (normally scaring skin). We obtained 4 654 DEGs (|log FC | ≥ 1, P<0.05) between each group. Venn diagram analysis and functional annotation of gene subsets identified 228 candidate genes with 4 distinct expression profiles across all groups. The genes involved in Cluster 3 were further analyzed. For the E14 group, up-regulated genes were mainly related to tissue remodeling, and extracellular matrix (ECM) composition functions, which promote wound healing. With protein-protein interaction, we identified 17 hub genes mainly belonging to the collagen family and fibrocytes migration-related genes. Therefore, we revealed for the first time the importance of ECM organization and fibrocytes activation in the scarless healing pattern of early gestational fetal. Essential genes promising in further research and application were also provided. The results provided fundamental knowledge for scarless wound care and cosmetic medicine industry.

Key words: scarless healing pattern, GEO dataset analysis, gestational fetus, gene enrichment

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