Data Mining Mycobacterium tuberculosis Pathogenic Gene Transcription Factors and Their Regulatory Network Nodes
المؤلفون المشاركون
Yuan, Guangxin
Xu, Guangyu
Bai, Yu
Zhang, Yuhang
المصدر
International Journal of Genomics
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-03-14
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Tuberculosis (TB) is one of the deadliest infectious diseases worldwide.
In Mycobacterium tuberculosis, changes in gene expression are highly variable and involve many genes, so traditional single-gene screening of M.
tuberculosis targets has been unable to meet the needs of clinical diagnosis.
In this study, using the National Center for Biotechnology Information (NCBI) GEO Datasets, whole blood gene expression profile data were obtained in patients with active pulmonary tuberculosis.
Linear model-experience Bayesian statistics using the Limma package in R combined with t-tests were applied for nonspecific filtration of the expression profile data, and the differentially expressed human genes were determined.
Using DAVID and KEGG, the functional analysis of differentially expressed genes (GO analysis) and the analysis of signaling pathways were performed.
Based on the differentially expressed gene, the transcriptional regulatory element databases (TRED) were integrated to construct the M.
tuberculosis pathogenic gene regulatory network, and the correlation of the network genes with disease was analyzed with the DAVID online annotation tool.
It was predicted that IL-6, JUN, and TP53, along with transcription factors SRC, TNF, and MAPK14, could regulate the immune response, with their function being extracellular region activity and protein binding during infection with M.
tuberculosis.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yuan, Guangxin& Bai, Yu& Zhang, Yuhang& Xu, Guangyu. 2018. Data Mining Mycobacterium tuberculosis Pathogenic Gene Transcription Factors and Their Regulatory Network Nodes. International Journal of Genomics،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1172710
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yuan, Guangxin…[et al.]. Data Mining Mycobacterium tuberculosis Pathogenic Gene Transcription Factors and Their Regulatory Network Nodes. International Journal of Genomics No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1172710
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yuan, Guangxin& Bai, Yu& Zhang, Yuhang& Xu, Guangyu. Data Mining Mycobacterium tuberculosis Pathogenic Gene Transcription Factors and Their Regulatory Network Nodes. International Journal of Genomics. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1172710
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1172710
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر