Prediction of Seven Candidate Transcription Factors in B-Cell Acute Lymphoblastic Leukemia Using System Biology Approaches

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SIAVASHI ELHAM; Jamali Ghasem; SALARIAN FATEMEH; SALARI ALI

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Journal: Qom University of Medical Sciences Journal Year:2018 | Volume:12 | Issue:1 Page(s): 1-14

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Title

Prediction of Seven Candidate Transcription Factors in B-Cell Acute Lymphoblastic Leukemia Using System Biology Approaches

Author(s)

SIAVASHI ELHAM | Jamali Ghasem | SALARIAN FATEMEH | SALARI ALI | Issue Writer Certificate

Keywords

LeukemiaQ1

LymphocyticQ1

ChronicQ1

B-Cell;LeukemiaQ1

Lymphoid-analysis;Transcription factors analysis;Systems biologyQ1

Abstract

Background and Objectives: Acute lymphoblastic Leukemia is caused by damage to self DNA leading to uncontrolled cellular growth. The aim of this study was to find out a new appropriate diagnostic and therapeutic methods using differential gene expression and protein analyzes in different methods of the biology system. Methods: Microarray library GSE20011 was downloaded from GEO database and analyzed using GEO2R software. In this study, two groups of control (with benign Hodgkin lymphoma) and treatment (with acute lymphoblastic Leukemia of B cells), were compared with each other. In BALL cancer, 338 genes were up-regulated and 252 genes were down-regulated, that analyzes of protein kinases, transcription factors, gene function, protein-protein interaction, and finally, drawing differential genes protein network, were performed by KEA, ChEA, DAVID, Gene2Network, and yEd databases, respectively. Results: In this study, for the first time, seven transcription factors LYL1, SPI1, TET1, POU3F2, LMO2, CUX1, and ELF1, were reported as the candidate for diagnosis and treatment for BALL. Also, the importance of the role of membrane in BALL cells with the function of 97 up-regulated genes increased from the total 338 genes in cell membranes, showed the importance of membrane protection; and 97 genes were identified in cell resistance function for BALL cells, which can be interpreted as high resistance of BALL cells to molecular-based therapeutic approaches. Conclusion: The results of this study can help to better understand the cellular resistance mechanism of BALL to treatment and provided seven candidate proteins for diagnosis and possibly treatment.

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APA: Copy

SIAVASHI, ELHAM, Jamali, Ghasem, SALARIAN, FATEMEH, & SALARI, ALI. (2018). Prediction of Seven Candidate Transcription Factors in B-Cell Acute Lymphoblastic Leukemia Using System Biology Approaches. QOM UNIVERSITY OF MEDICAL SCIENCES JOURNAL, 12(1 ), 1-14. SID. https://sid.ir/paper/132385/en

Vancouver: Copy

SIAVASHI ELHAM, Jamali Ghasem, SALARIAN FATEMEH, SALARI ALI. Prediction of Seven Candidate Transcription Factors in B-Cell Acute Lymphoblastic Leukemia Using System Biology Approaches. QOM UNIVERSITY OF MEDICAL SCIENCES JOURNAL[Internet]. 2018;12(1 ):1-14. Available from: https://sid.ir/paper/132385/en

IEEE: Copy

ELHAM SIAVASHI, Ghasem Jamali, FATEMEH SALARIAN, and ALI SALARI, “Prediction of Seven Candidate Transcription Factors in B-Cell Acute Lymphoblastic Leukemia Using System Biology Approaches,” QOM UNIVERSITY OF MEDICAL SCIENCES JOURNAL, vol. 12, no. 1 , pp. 1–14, 2018, [Online]. Available: https://sid.ir/paper/132385/en

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