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مجله پزشکی ارومیه، جلد ۳۶، شماره ۳، صفحات ۲۱۹-۲۳۰
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عنوان انگلیسی Convergence of Signaling Pathways and Bioinformatics Analysis in Mesodermal Differentiation of iPSCs: Focus on KDR+/PDGFRα+ Populations for Cardiovascular Regeneration
چکیده انگلیسی مقاله
Abstract:
Background and Objective:
 Cardiovascular diseases continue to be the leading cause of death worldwide. The use of iPSCs holds great promise for repairing heart and blood vessel tissues. Generation of cardiovascular progenitors requires precise modulation of these cells through signaling pathways. This study highlights the KDR and PDGFRα markers in guiding iPSCs toward mesodermal progenitors, specifically the KDR+/PDGFRα+ populations, which have enormous clinical promise for cardiovascular applications.

Method:  Gene transcript analysis involved obtaining data from the GEO database with accession number GSE90000. The GEO2R tool was used to identify genes with significant changes, defined as p-values < 0.05 and absolute log-fold changes > 2.
Functional classification of genes was performed to identify biological processes and signaling pathways using GO analysis with the DAVID tool.
Protein-protein networks were analyzed by simulating protein interactions using the STRING database, which helped identify key genes such as EOMES.
Signaling pathway analysis used tools including Cytoscape, Reactome, and X2K to analyze pathways involved in iPSC differentiation into cardiomyocytes.

Results: Our studies on KDR+/PDGFRα+ cells derived from iPSC differentiation revealed 1,635 genes that were significantly downregulated during cardiomyocyte formation, with p-values < 0.05 and |log-FC| ≥ 2. These genes include COCH, CYP26A1, and TUNAR. Using protein-protein interaction analysis, we identified EOMES (p-value 0.0026, |log-FC| -6.357) as a central transcription factor. Moreover, pathway enrichment analysis revealed a gradual downregulation of genes involved in cardiac disease, suggesting potential therapeutic applications.

Conclusion:  Integrating bioinformatics tools (GEO2R, STRING, Reactome) with multi-marker strategies (CD13, ROR2, APLNR) enhances the purity of cardiovascular progenitors, ultimately improving therapeutic applications in the treatment of cardiovascular diseases.
کلیدواژه‌های انگلیسی مقاله Bioinformatics, Cardiovascular diseases, Differentiation, Regenerative medicine, Signaling pathways
نویسندگان مقاله | Faezeh Moraveji
Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran


| siamak Rezaeiani
Cellular and Molecular Research Center, Cellular and Molecular Medicine Research Institute, Urmia University of Medical Sciences, Urmia, Iran


| Ay Sooda Mosafer Yadegari
Univercity of Helth Scineces: Istanbul, Kadi Koy Turkey
نشانی اینترنتی http://umj.umsu.ac.ir/browse.php?a_code=A-10-786-2&slc_lang=en&sid=1
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زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده عمومی
نوع مقاله منتشر شده پژوهشی(توصیفی- تحلیلی)
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