Correction: Biologically anchored knowledge expansion approach uncovers KLF4 as a novel insulin signaling regulator
暂无分享,去创建一个
Annamalai Muthiah | Morgan S. Angulo | Natalie N. Walker | Susanna R. Keller | Jae K. Lee | S. Keller | Natalie N Walker | Annamalai Muthiah | Jae K Lee | M. S. Angulo
[1] Frank Emmert-Streib,et al. Inferring the conservative causal core of gene regulatory networks , 2010, BMC Systems Biology.
[2] Michael P. H. Stumpf,et al. Simulation-based model selection for dynamical systems in systems and population biology , 2009, Bioinform..
[3] Eytan Domany,et al. Superparamagnetic Clustering of Data , 1996 .
[4] Kevin J. Cheung,et al. Xanthine Oxidoreductase Is a Regulator of Adipogenesis and PPARγ Activity , 2007 .
[5] Diogo M. Camacho,et al. Wisdom of crowds for robust gene network inference , 2012, Nature Methods.
[6] R. Tibshirani,et al. Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[7] Peter J. Woolf,et al. Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual information , 2008, BMC Bioinformatics.
[8] J. Collins,et al. Large-Scale Mapping and Validation of Escherichia coli Transcriptional Regulation from a Compendium of Expression Profiles , 2007, PLoS biology.
[9] M. White,et al. SOCS-1 and SOCS-3 Block Insulin Signaling by Ubiquitin-mediated Degradation of IRS1 and IRS2* , 2002, The Journal of Biological Chemistry.
[10] S. Keller,et al. Deletion of Rab GAP AS160 modifies glucose uptake and GLUT4 translocation in primary skeletal muscles and adipocytes and impairs glucose homeostasis. , 2012, American journal of physiology. Endocrinology and metabolism.
[11] Raymond K. Auerbach,et al. A User's Guide to the Encyclopedia of DNA Elements (ENCODE) , 2011, PLoS biology.
[12] Paul T. Groth,et al. The ENCODE (ENCyclopedia Of DNA Elements) Project , 2004, Science.
[13] P. Pérez-Martínez,et al. Dietary fat, genes and insulin sensitivity , 2007, Journal of Molecular Medicine.
[14] Alberto de la Fuente,et al. Discovery of meaningful associations in genomic data using partial correlation coefficients , 2004, Bioinform..
[15] Michele Ceccarelli,et al. articleTimeDelay-ARACNE : Reverse engineering of gene networks from time-course data by an information theoretic approach , 2010 .
[16] R. Ratan,et al. Activating transcription factor 4 mediates hyperglycaemia-induced endothelial inflammation and retinal vascular leakage through activation of STAT3 in a mouse model of type 1 diabetes , 2012, Diabetologia.
[17] Michael Mitzenmacher,et al. Detecting Novel Associations in Large Data Sets , 2011, Science.
[18] Nir Friedman,et al. Inferring Cellular Networks Using Probabilistic Graphical Models , 2004, Science.
[19] H. Sul. Minireview: Pref-1: role in adipogenesis and mesenchymal cell fate. , 2009, Molecular endocrinology.
[20] Benjamin Haibe-Kains,et al. Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks , 2011, Nucleic Acids Res..
[21] A. Butte,et al. Leveraging models of cell regulation and GWAS data in integrative network-based association studies , 2012, Nature Genetics.
[22] K. Kaestner,et al. Conditional Deletion of Krüppel-Like Factor 4 Delays Downregulation of Smooth Muscle Cell Differentiation Markers but Accelerates Neointimal Formation Following Vascular Injury , 2008, Circulation research.
[23] Michael Ruogu Zhang,et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.
[24] Chin-Lee Wu,et al. Insulin Stimulates Adipogenesis through the Akt-TSC2-mTORC1 Pathway , 2009, PloS one.
[25] K. Ley,et al. Accelerated Atherosclerosis in Apoe−/− Mice Heterozygous for the Insulin Receptor and the Insulin Receptor Substrate-1 , 2012, Arteriosclerosis, thrombosis, and vascular biology.
[26] M. Lazar,et al. Forming functional fat: a growing understanding of adipocyte differentiation , 2011, Nature Reviews Molecular Cell Biology.
[27] W. Lui,et al. Expression of CLMP, a novel tight junction protein, is mediated via the interaction of GATA with the kruppel family proteins, KLF4 and Sp1, in mouse TM4 sertoli cells , 2008, Journal of cellular physiology.
[28] B. Spiegelman,et al. Molecular regulation of adipogenesis. , 2000, Annual review of cell and developmental biology.
[29] Adam A. Margolin,et al. Reverse engineering of regulatory networks in human B cells , 2005, Nature Genetics.
[30] D. Allison,et al. Variations in body weight, food intake and body composition after long-term high-fat diet feeding in C57BL/6J Mice , 2014, Obesity.
[31] A. T. Vasconcelos,et al. Genome-wide partial correlation analysis of Escherichia coli microarray data. , 2007, Genetics and molecular research : GMR.
[32] Dirk Husmeier,et al. Nonhomogeneous dynamic Bayesian networks in systems biology. , 2012, Methods in molecular biology.
[33] P. Geurts,et al. Inferring Regulatory Networks from Expression Data Using Tree-Based Methods , 2010, PloS one.
[34] Roger E Bumgarner,et al. Construction of regulatory networks using expression time-series data of a genotyped population , 2011, Proceedings of the National Academy of Sciences.
[35] Chiara Sabatti,et al. Network component analysis: Reconstruction of regulatory signals in biological systems , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[36] J. Mesirov,et al. GenePattern 2.0 , 2006, Nature Genetics.
[37] R. Mariani-Costantini,et al. Expression and localisation of insulin receptor substrate 2 in normal intestine and colorectal tumours. Regulation by intestine-specific transcription factor CDX2 , 2009, Gut.
[38] C. Kahn,et al. Critical nodes in signalling pathways: insights into insulin action , 2006, Nature Reviews Molecular Cell Biology.
[39] A. Klip,et al. Signal transduction meets vesicle traffic: the software and hardware of GLUT4 translocation. , 2014, American journal of physiology. Cell physiology.
[40] Marcel J. T. Reinders,et al. Least absolute regression network analysis of the murine osteoblast differentiation network , 2006, Bioinform..
[41] D. Pe’er,et al. Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data , 2003, Nature Genetics.
[42] G. Auburger,et al. Genetic ablation of ataxin-2 increases several global translation factors in their transcript abundance but decreases translation rate , 2015, neurogenetics.
[43] Samik Ghosh,et al. Harnessing Diversity towards the Reconstructing of Large Scale Gene Regulatory Networks , 2013, PLoS Comput. Biol..
[44] Julio R. Banga,et al. Reverse engineering and identification in systems biology: strategies, perspectives and challenges , 2014, Journal of The Royal Society Interface.
[45] Gordon K Smyth,et al. Statistical Applications in Genetics and Molecular Biology Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments , 2011 .
[46] R. Leboeuf,et al. LDL receptor but not apolipoprotein E deficiency increases diet-induced obesity and diabetes in mice. , 2002, American journal of physiology. Endocrinology and metabolism.
[47] C. Kahn,et al. Development of a Novel Polygenic Model of NIDDM in Mice Heterozygous for IR and IRS-1 Null Alleles , 1997, Cell.
[48] Erica A Golemis,et al. Identification of a chromosome 3p14.3-21.1 gene, APPL, encoding an adaptor molecule that interacts with the oncoprotein-serine/threonine kinase AKT2 , 1999, Oncogene.
[49] Chris Wiggins,et al. ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context , 2004, BMC Bioinformatics.