چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | نرجس صدیقی |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | کمیته تحقیقات دانشجویی |
| کد مقاله | 84180 |
| عنوان فارسی مقاله | تجزیه و تحلیل غنی سازی ژن های هاب بالقوه در سرطان سینه بر اساس مجموعه داده های TCGA |
| عنوان لاتین مقاله | Enrichment analysis of potential hub genes in breast cancer based on TCGA datasets |
| نوع ارائه | پوستر |
| عنوان کنگره / همایش | 3rd International & 12th Iranian Conference on Bioinformatics |
| نوع کنگره / همایش | بین المللی |
| کشور محل برگزاری کنگره/ همایش | Iran (Islamic Republic) |
| شهر محل برگزاری کنگره/ همایش | بهشهر |
| سال انتشار/ ارائه شمسی | 1402 |
| سال انتشار/ارائه میلادی | 2024 |
| تاریخ شمسی شروع و خاتمه کنگره/همایش | 1402/12/09 الی 1402/12/10 |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | https://icb12.ibis.org.ir/ |
| آدرس علمی (Affiliation) نویسنده متقاضی | Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran |
| نویسنده | نفر چندم مقاله |
|---|---|
| نرجس صدیقی | اول |
| عنوان | متن |
|---|---|
| خلاصه مقاله | Introduction: Breast cancer is the most common malignancy in women worldwide. Despite great advances in the diagnosis and treatment of cancer, the treatment has big challenges. Nowadays, with the advances in the bioinformatics analysis of RNAseq, it can identify potential biomarkers for diagnosis, targeting treatment, and evaluation of tumor metastasis and relapse. In the current study, we conducted the gene ontology and Kegg pathway based on TCGA datasets. Method: At first, we used GEPIA2 to examine the TCGA BRCA dataset to identify all DEGs linked with BRCA among high throughput RNA-Seq data. After analyzing the survival data of BRCA, a Protein-protein interaction (PPI) network of significant genes associated with BRCA was constructed in Cytoscape software, and the hub genes were identified. for enrichment analysis, we used the Enrichr website (https://maayanlab.cloud/Enrichr/) and extracted the Kegg pathway and gene ontology based on the potential hub Gene Result: Seven Hub genes (CXCL1, SELL, CXCL9, CD3E, CCL5, CXCR3, CCR5) were extracted from PPI based on their degree. the result showed in the 189 biological processes, the Cellular Response to Lipopolysaccharide was significantly meaningful (adj P-value=9.18E-06). In 12 cellular components, we identified just 3 components with meaningful adj p-values which included Gamma-Delta T Cell Receptor Complex, Alpha-Beta T Cell Receptor Complex, and T Cell Receptor Complex (adj P-value=0.02). In 30 molecular functions, Chemokine Activity (adj P-value=7.66E-06) and Chemokine Receptor Binding (adj P-value = 7.66E-06) have a more meaningful. At the last, in the 35 Kegg pathway, we identified Viral protein interaction with cytokine and cytokine receptor (adj P-value=2.06E-09), Chemokine signaling pathway (adj P-value=2.80E-08), and Cytokine-cytokine receptor interaction (adj P-value=1.61E-07) with meaningful P-value. Conclusion: This study identifies gene ontology and keg pathways of hub genes which involved in the occurrence and progression of breast cancer. This information may hold promise as potential biomarkers and therapeutic targets. |
| کلمات کلیدی | Keywords: Breast cancer, hub genes, BRCA, enrichment analysis, Kegg pathway, Gene Ontology |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| 1 (1).docx | 1403/02/17 | 16397 | دانلود |
| template-word-1 (1).pdf | 1403/03/06 | 1353766 | دانلود |
| 724__transaction__20240220_221947 (1).jpg | 1403/01/16 | 225392 | دانلود |
| Certificate1011271 (.pdf | 1403/01/16 | 306673 | دانلود |
