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However, much remains to be understood about the molecular mechanism of GCs actions in ALL subtypes. In this study, we delineate differential responses of ALL subtypes, B- and T-ALL, to GCs treatment at systems level by identifying the differences among biological processes, molecular pathways, and interaction networks that emerge from the action of GCs through the use of a selected number of available bioinformatics methods and tools. We provide biological insight into GC-regulated genes, their related functions, and their networks specific to the ALL subtypes. We show that differentially expressed GC-regulated genes participate in distinct underlying biological processes affected by GCs in B-ALL and T-ALL with little to no overlap. These findings provide the opportunity towards identifying new therapeutic targets.<\/jats:p>","DOI":"10.1155\/2014\/278748","type":"journal-article","created":{"date-parts":[[2014,4,15]],"date-time":"2014-04-15T17:03:06Z","timestamp":1397581386000},"page":"1-7","source":"Crossref","is-referenced-by-count":10,"title":["Integrated Analysis of Gene Network in Childhood Leukemia from Microarray and Pathway Databases"],"prefix":"10.1155","volume":"2014","author":[{"given":"Amphun","family":"Chaiboonchoe","sequence":"first","affiliation":[{"name":"Centre for Advanced Computational Solutions (CfACS), Lincoln University, Lincoln 7647, New Zealand"},{"name":"Division of Science and Math, New York University Abu Dhabi and Center for Genomics and Systems Biology (CGSB), New York University Abu Dhabi Institute, P.O. 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