Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
Clinical Biochemistry Department, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sci Rep. 2024 Jul 5;14(1):15551. doi: 10.1038/s41598-024-66614-9.
A major challenge in therapeutic approaches applying hematopoietic stem cells (HSCs) is the cell quantity. The primary objective of this study was to predict the miRNAs and anti-miRNAs using bioinformatics tools and investigate their effects on the expression levels of key genes predicted in the improvement of proliferation, and the inhibition of differentiation in HSCs isolated from Human umbilical cord blood (HUCB). A network including genes related to the differentiation and proliferation stages of HSCs was constructed by enriching data of text (PubMed) and StemChecker server with KEGG signaling pathways, and was improved using GEO datasets. Bioinformatics tools predicted a profile from miRNAs containing miR-20a-5p, miR-423-5p, and chimeric anti-miRNA constructed from 5'-miR-340/3'-miR-524 for the high-score genes (RB1, SMAD4, STAT1, CALML4, GNG13, and CDKN1A/CDKN1B genes) in the network. The miRNAs and anti-miRNA were transferred into HSCs using polyethylenimine (PEI). The gene expression levels were estimated using the RT-qPCR technique in the PEI + (miRNA/anti-miRNA)-contained cell groups (n = 6). Furthermore, CD markers (90, 16, and 45) were evaluated using flow cytometry. Strong relationships were found between the high-score genes, miRNAs, and chimeric anti-miRNA. The RB1, SMAD4, and STAT1 gene expression levels were decreased by miR-20a-5p (P < 0.05). Additionally, the anti-miRNA increased the gene expression level of GNG13 (P < 0.05), whereas the miR-423-5p decreased the CDKN1A gene expression level (P < 0.01). The cellular count also increased significantly (P < 0.05) but the CD45 differentiation marker did not change in the cell groups. The study revealed the predicted miRNA/anti-miRNA profile expands HSCs isolated from HUCB. While miR-20a-5p suppressed the RB1, SMAD4, and STAT1 genes involved in cellular differentiation, the anti-miRNA promoted the GNG13 gene related to the proliferation process. Notably, the mixed miRNA/anti-miRNA group exhibited the highest cellular expansion. This approach could hold promise for enhancing the cell quantity in HSC therapy.
应用造血干细胞(HSCs)治疗的主要挑战之一是细胞数量。本研究的主要目的是使用生物信息学工具预测 miRNA 和抗 miRNA,并研究它们对从人脐带血(HUCB)中分离的 HSCs 的增殖和分化抑制的关键基因表达水平的影响。通过富集文本(PubMed)和 StemChecker 服务器的数据与 KEGG 信号通路,构建了一个包含与 HSCs 分化和增殖阶段相关的基因的网络,并使用 GEO 数据集进行了改进。生物信息学工具预测了一个 miRNA 图谱,其中包含 miR-20a-5p、miR-423-5p 和源自 5'-miR-340/3'-miR-524 的嵌合抗 miRNA,用于网络中的高评分基因(RB1、SMAD4、STAT1、CALML4、GNG13 和 CDKN1A/CDKN1B 基因)。使用聚乙烯亚胺(PEI)将 miRNA 和抗 miRNA 转入 HSCs。使用 RT-qPCR 技术在包含 PEI 和(miRNA/anti-miRNA)的细胞组(n=6)中估计基因表达水平。此外,使用流式细胞术评估 CD 标记物(90、16 和 45)。高评分基因、miRNA 和嵌合抗 miRNA 之间存在很强的关系。miR-20a-5p 降低了 RB1、SMAD4 和 STAT1 基因的表达水平(P<0.05)。此外,抗 miRNA 增加了 GNG13 基因的表达水平(P<0.05),而 miR-423-5p 降低了 CDKN1A 基因的表达水平(P<0.01)。细胞计数也显著增加(P<0.05),但细胞组中 CD45 分化标记物没有变化。研究表明,预测的 miRNA/anti-miRNA 图谱可扩增从 HUCB 分离的 HSCs。miR-20a-5p 抑制了参与细胞分化的 RB1、SMAD4 和 STAT1 基因,而抗 miRNA 促进了与增殖过程相关的 GNG13 基因。值得注意的是,混合 miRNA/anti-miRNA 组表现出最高的细胞扩增。这种方法可能有望提高 HSC 治疗中的细胞数量。