Bioinformatics methods for identifying differentially expressed genes and signaling pathways in nano-silica stimulated macrophages

• Published in: Tumor biology Vol. 39; no. 6; p. 1010428317709284
• Main Authors: Zhang, Lin, Hao, Changfu, Li, Juan, Qu, Yaqian, Bao, Lei, Li, Yiping, Yue, Zhongzheng, Zhang, Miao, Yu, Xinghao, Chen, Huiting, Zhang, Jianhui, Wang, Di, Yao, Wu
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.06.2017; Sage Publications Ltd; IOS Press
• Subjects: Apoptosis; Apoptosis - drug effects; Authorship; Autophagy; Bioinformatics; Biomarkers; Cancer; Carcinogenesis; Computational Biology; Correlation analysis; Databases, Genetic; DNA microarrays; Dust; Extracellular matrix; FADD protein; Gene expression; Gene Expression Regulation, Neoplastic - drug effects; Gene Ontology; Gene Regulatory Networks - drug effects; Gene Regulatory Networks - genetics; Genomes; Genomics; Humans; Inflammation; Kinases; Lck protein; Lung cancer; Lung diseases; Macrophages; Macrophages - drug effects; Nanoparticles; Nanoparticles - administration & dosage; Nanoparticles - chemistry; Protein Interaction Maps - drug effects; Protein Interaction Maps - genetics; Proteins; Pulmonary fibrosis; Serum-free medium; Signal transduction; Signal Transduction - drug effects; Silica; Silicon Dioxide - administration & dosage; Silicon Dioxide - chemistry; Software; Therapeutic applications; Transcription; Transcriptome - genetics; gene ontology; differentially expressed genes; macrophage; Lung cancer; pneumoconiosis

The incidence of disease relating to nanoparticle exposure has been rising rapidly in recent years, for which there is no effective treatment. Macrophage is suggested to play a crucial role in the development of pulmonary disease. To investigate the changes in macrophage after being stimulated by na...