微泡
小桶
伤口愈合
旁分泌信号
计算生物学
外体
再生(生物学)
生物
间充质干细胞
细胞生物学
生物信息学
小RNA
基因
基因表达
免疫学
基因本体论
受体
遗传学
作者
Fong Fong Liew,Boon Cheng Chew,Der Jiun Ooi
出处
期刊:Current Molecular Medicine
[Bentham Science]
日期:2021-04-06
卷期号:22 (2): 165-191
被引量:9
标识
DOI:10.2174/1566524021666210405131238
摘要
Wound healing is an elaborated process, well-regulated via cell migration and proliferation. Although the physiological basics of wound healing have been thoroughly investigated and reported, much remains to be studied. Particularly, various studies have demonstrated the immunomodulatory roles of exosomes derived from plant cells, mammalian cells, and mesenchymal stem cells (MSCs) in the healing and repairing system. The paracrine and therapeutic effects of exosomes are mainly associated with the broad exosomal cargo content comprising growth factors, cytokines, enzymes, nucleic acids, proteins, and lipid signaling molecules. Nevertheless, the functional or mechanism pathway of exosomes with reference to overall exosomal cargo remains undetermined. To date, combinatorial analysis strategies employing Database for Annotation, Visualization, and Integrated Discovery (DAVID), STRING tools, Gene Ontology (GO), Kyoto Encyclopedia of Genes, Genomes (KEGG) pathway enrichment analysis, as well as Ingenuity Pathway Analysis (IPA) have been applied in elucidating network interaction and functional pathway of exosomes. In this review paper, the application of combinatorial analysis strategies is demonstrated to better understand the therapeutic potentials of exosomes in the wound healing process. In conclusion, functional modulation of exosomal cargo for specific biological treatment is achievable, and modelling of combinatorial analysis strategies will hopefully bridge the research gap and provide a paradigm shift to regenerative processes.
科研通智能强力驱动
Strongly Powered by AbleSci AI