In vitro ve in silico analizi ile metforminin meme tümörü hücrelerinde protein profili üzerindeki etkinliği

Güven Yenmi̇ş, Nail Beşli̇
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Abstract

Aim: This study aimed to uncover the varieties in protein profiles of Met in breast tumor (BT) cells by assessment of in vitro and in silico analysis. Materials and Methods: Here, the cells obtained from mastectomy patients were cultured, the effective Met-dose was determined as 25 mM through cell viability and BrdU tests. Protein identification in the breast tumor cells was implemented by employing LC-MS/MS technology. Results: The expression of SSR3, THAP3, FTH1, NEFM, ANP32A, ANP32B, KRT7 proteins was significantly decreased whereas the GARS protein increased in the 25 mM Met group compared to the Non-Met (0 mM) control group. In silico analysis, we analyzed the probable interactions of all these proteins with each other and other proteins, to evaluate the analysis of the larger protein network, and which metabolic pathway proteins are involved in. Conclusion: The stated proteomics analysis in our study proposes a better understanding of the prognosis of breast cancer and future studies to investigate the effect of metformin in this field on proteomic pathways in other sorts of cancer.
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二甲双胍模因肿瘤细胞对蛋白质谱的体外和计算机活性分析
目的:通过体外评估和计算机分析,揭示乳腺肿瘤(BT)细胞中Met蛋白谱的变化。材料与方法:本实验对乳腺切除术患者的细胞进行培养,通过细胞活力和BrdU试验确定有效剂量为25 mM。采用LC-MS/MS技术对乳腺肿瘤细胞进行蛋白鉴定。结果:与非Met (0 mM)对照组相比,25 mM Met组SSR3、THAP3、FTH1、NEFM、ANP32A、ANP32B、KRT7蛋白的表达明显降低,而GARS蛋白的表达明显升高。在硅分析中,我们分析了所有这些蛋白质之间以及其他蛋白质之间可能的相互作用,以评估更大的蛋白质网络的分析,以及蛋白质参与的代谢途径。结论:本研究中所述的蛋白质组学分析有助于更好地了解乳腺癌的预后,并为进一步研究二甲双胍在该领域对其他类型癌症蛋白质组学途径的影响提供依据。
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7 weeks
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