Browsing by Subject "HeLa Cells"

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    Fanconi anemia proteins function in mitophagy and immunity
    (Elsevier, 2016-05-05) Sumpter Jr., Rhea; Sirasanagandla, Shyam; Fernández, Álvaro F.; Wei, Yongjie; Dong, Xiaonan; Franco, Luis; Zou, Zhongju; Marchal, Christophe; Lee, Ming Yeh; Clapp, D. Wade; Hanenberg, Helmut; Levine, Beth; Department of Pediatrics, IU School of Medicine
    Fanconi anemia (FA) pathway genes are important tumor suppressors whose best-characterized function is repair of damaged nuclear DNA. Here, we describe an essential role for FA genes in two forms of selective autophagy. Genetic deletion of Fancc blocks the autophagic clearance of viruses (virophagy) and increases susceptibility to lethal viral encephalitis. Fanconi anemia complementation group C (FANCC) protein interacts with Parkin, is required in vitro and in vivo for clearance of damaged mitochondria, and decreases mitochondrial reactive oxygen species (ROS) production and inflammasome activation. The mitophagy function of FANCC is genetically distinct from its role in genomic DNA damage repair. Moreover, additional genes in the FA pathway, including FANCA, FANCF, FANCL, FANCD2, BRCA1, and BRCA2, are required for mitophagy. Thus, members of the FA pathway represent a previously undescribed class of selective autophagy genes that function in immunity and organellar homeostasis. These findings have implications for understanding the pathogenesis of FA and cancers associated with mutations in FA genes.
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    Understanding Transcription Factor Regulation by Integrating Gene Expression and DNase I Hypersensitive Sites
    (Hindawi, 2015-09-03) Wang, Guohua; Wang, Fang; Huang, Qian; Li, Yu; Liu, Yunlong; Wang, Yadong; Medical and Molecular Genetics, School of Medicine
    Transcription factors are proteins that bind to DNA sequences to regulate gene transcription. The transcription factor binding sites are short DNA sequences (5-20 bp long) specifically bound by one or more transcription factors. The identification of transcription factor binding sites and prediction of their function continue to be challenging problems in computational biology. In this study, by integrating the DNase I hypersensitive sites with known position weight matrices in the TRANSFAC database, the transcription factor binding sites in gene regulatory region are identified. Based on the global gene expression patterns in cervical cancer HeLaS3 cell and HelaS3-ifnα4h cell (interferon treatment on HeLaS3 cell for 4 hours), we present a model-based computational approach to predict a set of transcription factors that potentially cause such differential gene expression. Significantly, 6 out 10 predicted functional factors, including IRF, IRF-2, IRF-9, IRF-1 and IRF-3, ICSBP, belong to interferon regulatory factor family and upregulate the gene expression levels responding to the interferon treatment. Another factor, ISGF-3, is also a transcriptional activator induced by interferon alpha. Using the different transcription factor binding sites selected criteria, the prediction result of our model is consistent. Our model demonstrated the potential to computationally identify the functional transcription factors in gene regulation.