Identification of potential biomarkers for multiple myeloma using bioinformatics analysis of microarray data
- سال انتشار: 1399
- محل انتشار: بیست و یکمین کنگره ملی و نهمین کنگره بین المللی زیست شناسی ایران
- کد COI اختصاصی: BIOCONF21_0629
- زبان مقاله: انگلیسی
- تعداد مشاهده: 146
نویسندگان
Department of Animal Sciences and Marine Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
Department of Animal Sciences and Marine Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
Department of Animal Sciences and Marine Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
چکیده
Multiple myeloma (MM) is a cancer that forms in a type of white blood cell called a plasma cell. Rather than produce helpful antibodies, the cancer cells produce abnormal proteins that can cause complications. The interaction between myeloma cells and the bone microenvironment ultimately leads to the activation of osteoclasts and suppression of osteoblasts, resulting in bone loss. The purpose of this study was how interactions between myeloma cells and osteoclasts that might affect the clinical course of myeloma. We selected microarray datasets GSE۳۱۱۵۴ from the GEO database. Differential expressed genes (DEGs) were investigated with GEO۲R (with p values < ۰.۰۵ and │logFC│≥±۱.۵). Functional enrichment analysis of the Gene Ontology (GO) and pathways associated with DEGs were analyzed by GO and Kyoto Encyclopedia of Genes and Genomes (KEGG), respectively. To find the Transcription Factors (TFs) controlling the expression of upregulate genes, ChEA was used. Finally, we constructed the protein-protein interaction network (PPI) between TFs and upregulated genes using STRING and Cytoscape.It was found that ۲۵۷ and ۷۳۷ genes were upregulated and downregulated, respectively. GO analysis revealed that DEGs were extensively involved in various biological process (BP), such as cellular glucuronidation, glucuronate metabolic process and retinoic acid metabolic process. Nuclear nucleosome, centriole were significantly enriched for cellular components (CC) and for molecular function, glucuronosyltransferase activity, retinoic acid binding and monocarboxylic acid binding were the highly enriched GO terms. KEEG pathway analysis show Alcoholism, Ascorbate and Retinol metabolism were indicated in multiple myeloma. ChEA showed that POU۵F۱, EZH۲, SMAD۴ and BACH۱ were the top TFs controlling the upregulated genes in Plasma cell myeloma .Moreover, HIST۱H۴A, HIST۱H۴C, HIST۱H۴B and HIST۱H۴H were selected as hub genes in the module constructed using upregulated genes. Our analysis showed that histone genes sets may be used as prognostic factors for survival prediction for MM patients.کلیدواژه ها
microarray, unregulated, hub genesمقالات مرتبط جدید
- بررسی خاصیت ضدبیوفیلمی ترکیب گیاهی ۱و۸-سینئول علیه آسینتوباکتر بومانی دارای مقاومت داروئی
- ابر دریاچه باستانی ری - مقدمه ای بر تغییرات سطح-حجم آب در طول زمان از دیدگاه مورفولوژی
- تاثیرنشانگ رهای غیرتهاجمی بزاق در تشخیص سرطان دهان
- بررسی میزان فراوانی بیماری فاویسم در کودکان زیر۶ سال در شهر بوشهر
- بررسی تاثیرپاالیندگی گیاه Salsola crassa بر کاهش آلودگیفاضلاب صنعتی
اطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.