Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7535
Title: Gene network exploration of crosstalk between apoptosis and autophagy in chronic myelogenous leukemia
Authors: Wang, F
Cho, WCS
Chan, LWC
Wong, SCC 
Tsui, NBY
Siu, PM 
Yip, SP 
Yung, BYM 
Issue Date: 2015
Publisher: Hindawi Publishing Corporation
Source: BioMed research international, 2015, v. 2015, 459840 How to cite?
Journal: BioMed research international 
Abstract: Background. Gene expression levels change to adapt the stress, such as starvation, toxin, and radiation. The changes are signals transmitted through molecular interactions, eventually leading to two cellular fates, apoptosis and autophagy. Due to genetic variations, the signals may not be effectively transmitted to modulate apoptotic and autophagic responses. Such aberrant modulation may lead to carcinogenesis and drug resistance. The balance between apoptosis and autophagy becomes very crucial in coping with the stress. Though there have been evidences illustrating the apoptosis-autophagy interplay, the underlying mechanism and the participation of the regulators including transcription factors (TFs) and microRNAs (miRNAs) remain unclear. Results. Gene network is a graphical illustration for exploring the functional linkages and the potential coordinate regulations of genes. Microarray dataset for the study of chronic myeloid leukemia was obtained from Gene Expression Omnibus. The expression profiles of those genes related to apoptosis and autophagy, including MCL1, BCL2, ATG, beclin-1, BAX, BAK, E2F, cMYC, PI3K, AKT, BAD, and LC3, were extracted from the dataset to construct the gene networks. Conclusion. The network analysis of these genes explored the underlying mechanisms and the roles of TFs and miRNAs for the crosstalk between apoptosis and autophagy.
URI: http://hdl.handle.net/10397/7535
ISSN: 2314-6133
EISSN: 2314-6141
DOI: 10.1155/2015/459840
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Wang_Gene_Network_Exploration.pdf1.52 MBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

5
Last Week
0
Last month
0
Citations as of Oct 19, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Oct 16, 2017

Page view(s)

102
Last Week
4
Last month
Checked on Oct 16, 2017

Download(s)

33
Checked on Oct 16, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.