Integration of Transcriptome and Proteome Datasets for Finding Novel Biomarkers in Acute Lymphoblastic Leukemia

  • سال انتشار: 1400
  • محل انتشار: چهارمین کنفرانس زیست شناسی سامانه های ایران
  • کد COI اختصاصی: ICSB04_049
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 433
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نویسندگان

Sarvin Bagheralmoosavi

Department of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Seyedamir Mirmotalebisohi

Student Research Committee, Department of Medical Biotechnology, School of Advanced Technology in Medicine,Shahid Beheshti University of Medical Sciences, Tehran , Iran. Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical

Hakimeh Zali

Medical Nanotechnology and Tissue Engineering Research Center, School of Advanced Technologies in Medicine ,Shahid Beheshti University of Medical Sciences , Tehran , Iran.

Kambiz Gilany

Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran. Integrative Oncology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran,Iran.

Mahdi Shabani

Department of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

چکیده

Acute lymphoblastic leukemia (ALL) is characterized by abnormal proliferation, differentiation, and accumulation of lymphoid precursor cells in bone marrow. The etiology of ALL is largely unknown in most cases and it makes our understanding of the disease so complicated. Understanding the biological mechanism behind the disease and finding disease-related biomarkers is a critical issue since the cure rate among patients needs to improve. In this regard, we firstly collected deregulated proteomics and transcriptomics data in ALL from public databases. Then, the listed gene-related miRNAs and transcription factors (TFs) were identified as two main gene regulators. Moreover, the regulatory sub-network of the miRNA-TF-gene was constructed and the most important genes and TFs were identified including CCND۲, TP۵۳, ALDOA, GATA۶, NFIC, YY۱, and TPM۳. Besides, the GO-ontology of the collected gene list was determined using the DAVID bioinformatics tool. Among the enrichments, cell cycle, cell division, gluconeogenesis, and apoptosis were identified as the most significant processes. This work will provide some significant genes and TFs and pathways associated with the ALL pathology.

کلیدواژه ها

Regulatory network, miRNA, Transcription Factor, Proteomics, Transcriptomics, Acute Lymphoblastic Leukemia

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