Bioinformatics analysis of molecular pathways and key candidate biomarkers associated with human bone marrow hematopoietic stem cells (HSCs) micro-array gene expression data
Yazarlar (2)
Emine Güven Düzce Üniversitesi, Türkiye
Dr. Öğr. Üyesi Sevinç AKÇAY Kırşehir Ahi Evran Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SCOPUS dergilerinde yayınlanan tam makale)
|
||
| Dergi Adı | HUMAN GENE | ||
| Dergi ISSN | 2773-0441 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | Scopus | ||
| Makale Dili | İngilizce | Basım Tarihi | 09-2022 |
| Cilt / Sayı / Sayfa | 33 / 0 / – | DOI | 10.1016/j.humgen.2022.201068 |
| Makale Linki | https://www.sciencedirect.com/science/article/pii/S2773044122000420 | ||
| Özet |
| An identification of the molecular properties of glioma stem cells (GSCs) has led studies in clinical use, stem cell identification, and highly-effective usage. The GSE32719 contains a total expression of 54,676 genes of healthy human bone marrow HSCs in 14 young (20-31 years), 5 middle (42-61 years), and a lot of old (65-85 years) age groups. The researchers of this study described age-related changes in the human HSC population, using the gene expression profile of significance analysis to discover differentially expressed genes (DEGs) between each age group. The DEGs were subjected to significantly enriched biological processing that decoded the increase and functional decline in the HSC population. The GSE dataset analysis was conducted by the GEOquery package in Bioconductor. Using the Biobase and gplots packages, 453 DEGs were screened. DEGs analyses were conducted by gene ontology (GO) pathway enrichment and Kyoto Encylopedia of Genes and Genomes (KEGG) enrichment analysis. The Hippo signaling pathway was observed to be significant using the GO pathway enrichment analysis, which was previously reported as an effective pathway in cancers, including AML. A protein-protein interaction (PPI) network was constructed; then based on that, a subnetwork module analysis for the Hippo signaling pathway was made. Additionally, the GO pathway enrichment analysis revealed 'cellular process', 'cellular metabolic process', 'metabolic process', 'biogenesis', and 'vasculogenesis biological processes', which are involved in a wide of biological activities such as metabolic regulation, cell growth, and proliferation. Our findings offer silico evidence for candidate genes, such as the UBC, PTK2, and TCF7L2, that may be promising biomarkers for the translation approach associated with HSC population age-related diseases. |
| Anahtar Kelimeler |
| HSC | Aging | Differentially expressed genes | Gene ontology pathway enrichment | UBC | PTK2 | TCF7L2 |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 2 |
| Google Scholar | 1 |