The bioinformatics core will provide analytical and statistical support for the various proposed projects. The core will also serve as a data repository for the high-throughput ChlP-seq data and will coordinate the deposition of the datasets into the public domain. Additionally, cytokine production and protein phosphorylation will be analyzed by core personnel with expertise in the BioPlex system. This POI project will study the molecular and cellular mechanisms ofthe induction and stability of regulatory T cells (Tregs). It involves the study of Tregs in both in vitro and in vivo models including molecular studies of gene transcriptional control and cellular studies using various mouse models of diseases. Particularly relevant to this core is the large amount of data that is expected as a result of the high-throughput techniques proposed. The core provide the following services: 1) to analyze and compare the data derived from ChlP-seq direct sequencing experiments performed for projects 1-4. 2) to perform statistical analyses ofthe experimental data from both in vitro and in vivo studies including thos from various mouse models such as asthma, colitis, and viral infection. 3) to measure and analyze cytokine production and protein phosphorylation using the BioPlex system. The establishment of a core charged with these tasks will facilitate the consistent analysis of data sets as well as promote efficient and accurate data exchange among the various groups.
Sophiscated data analysis is critical for the rational design and proper interpretaiton of the biological experiments. This bioinformatics core will be highly utilized by all projects, and will enable synergistic interactions among individual projects.
|Gaddis, Dalia E; Padgett, Lindsey E; Wu, Runpei et al. (2018) Apolipoprotein AI prevents regulatory to follicular helper T cell switching during atherosclerosis. Nat Commun 9:1095|
|Madireddi, Shravan; Eun, So-Young; Mehta, Amit K et al. (2017) Regulatory T Cell-Mediated Suppression of Inflammation Induced by DR3 Signaling Is Dependent on Galectin-9. J Immunol 199:2721-2728|
|Park, Yoon; Jin, Hyung-Seung; Lopez, Justine et al. (2016) SHARPIN controls regulatory T cells by negatively modulating the T cell antigen receptor complex. Nat Immunol 17:286-96|
|Eun, So-Young; Lee, Seung-Woo; Xu, Yanfei et al. (2015) 4-1BB ligand signaling to T cells limits T cell activation. J Immunol 194:134-41|
|Aki, Daisuke; Zhang, Wen; Liu, Yun-Cai (2015) The E3 ligase Itch in immune regulation and beyond. Immunol Rev 266:6-26|
|Lee, Jee H; Elly, Chris; Park, Yoon et al. (2015) E3 Ubiquitin Ligase VHL Regulates Hypoxia-Inducible Factor-1? to Maintain Regulatory T Cell Stability and Suppressive Capacity. Immunity 42:1062-74|
|Krause, Petra; Morris, Venetia; Greenbaum, Jason A et al. (2015) IL-10-producing intestinal macrophages prevent excessive antibacterial innate immunity by limiting IL-23 synthesis. Nat Commun 6:7055|
|Park, Yoon; Jin, Hyung-seung; Aki, Daisuke et al. (2014) The ubiquitin system in immune regulation. Adv Immunol 124:17-66|
|Jones, Carmen Baca; Pagni, Philippe P; Fousteri, Georgia et al. (2014) Regulatory T cells control diabetes without compromising acute anti-viral defense. Clin Immunol 153:298-307|
|Madireddi, Shravan; Eun, So-Young; Lee, Seung-Woo et al. (2014) Galectin-9 controls the therapeutic activity of 4-1BB-targeting antibodies. J Exp Med 211:1433-48|
Showing the most recent 10 out of 39 publications