Global quantitative biology can illuminate ontological connections between diseases
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[1] Moritoshi Sato. Imaging molecular events in single living cells , 2006, Analytical and bioanalytical chemistry.
[2] Ningli Li,et al. Cyr61 participates in the pathogenesis of acute lymphoblastic leukemia by enhancing cellular survival via the AKT/NF-κB signaling pathway , 2016, Scientific Reports.
[3] M. Deakin. Catastrophe theory. , 1977, Science.
[4] Simon Smyth,et al. Diabetes and obesity: the twin epidemics , 2006, Nature Medicine.
[5] Kazuyuki Aihara,et al. Identifying early-warning signals of critical transitions with strong noise by dynamical network markers , 2015, Scientific Reports.
[6] Alicja Wolk,et al. Diabetes mellitus and risk of breast cancer: A meta‐analysis , 2007, International journal of cancer.
[7] T. Meyer,et al. Single Cell Imaging of PI3K Activity and Glucose Transporter Insertion Into the Plasma Membrane by Dual Color Evanescent Wave Microscopy , 2003, Science's STKE.
[8] Yong Liao,et al. Physiological regulation of Akt activity and stability. , 2010, American journal of translational research.
[9] U. Nöthlings,et al. Obesity and cancer , 2008, Proceedings of the Nutrition Society.
[10] D. Sabatini,et al. mTOR: from growth signal integration to cancer, diabetes and ageing , 2010, Nature Reviews Molecular Cell Biology.
[11] Xuegong Zhang,et al. An overview of major metagenomic studies on human microbiomes in health and disease , 2016, Quantitative Biology.
[12] Kazuyuki Aihara,et al. Dynamical network biomarkers for identifying critical transitions and their driving networks of biologic processes , 2013, Quantitative Biology.
[13] M. Bergman. Pathophysiology of prediabetes and treatment implications for the prevention of type 2 diabetes mellitus , 2013, Endocrine.
[14] Benjamin L Turner,et al. Supporting Online Material Materials and Methods Som Text Figs. S1 to S3 Table S1 References Robust, Tunable Biological Oscillations from Interlinked Positive and Negative Feedback Loops , 2022 .
[15] S. Riddell,et al. The emperor of all maladies: A biography of cancer , 2011 .
[16] Rui Li,et al. Network-based method to infer the contributions of proteins to the etiology of drug side effects , 2015, Quantitative Biology.
[17] Caitlin A Stern,et al. Not Just a Theory—The Utility of Mathematical Models in Evolutionary Biology , 2014, PLoS biology.
[18] M. Golubitsky,et al. Singularities and groups in bifurcation theory , 1985 .
[19] Shao Li,et al. Exploring traditional chinese medicine by a novel therapeutic concept of network target , 2016, Chinese Journal of Integrative Medicine.
[20] Edward Giovannucci,et al. Diabetes and Cancer , 2010, Diabetes Care.
[21] Ji Luo,et al. The evolution of phosphatidylinositol 3-kinases as regulators of growth and metabolism , 2006, Nature Reviews Genetics.
[22] R. Bergman,et al. Metabolic syndrome, hyperinsulinemia, and cancer. , 2007, The American journal of clinical nutrition.
[23] Xuegong Zhang,et al. Exon expression QTL (eeQTL) analysis highlights distant genomic variations associated with splicing regulation , 2014, Quantitative Biology.
[24] Hongyan Wang,et al. Akt Mediates Metastasis-Associated Gene 1 (MTA1) Regulating the Expression of E-cadherin and Promoting the Invasiveness of Prostate Cancer Cells , 2012, PloS one.
[25] Guanyu Wang. Optimal homeostasis necessitates bistable control , 2012, Journal of The Royal Society Interface.
[26] Tianshou Zhou,et al. Quantitative analysis of gene expression systems , 2015, Quantitative Biology.
[27] Yong Wang,et al. Cis-acting regulatory elements: from random screening to quantitative design , 2015, Quantitative Biology.
[28] Kazuyuki Aihara,et al. Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers , 2012, Scientific Reports.
[29] James E. Ferrell,et al. A positive-feedback-based bistable ‘memory module’ that governs a cell fate decision , 2007, Nature.
[30] Yan Luo,et al. Oncogenic activation of the PI3K/Akt pathway promotes cellular glucose uptake by downregulating the expression of thioredoxin-interacting protein. , 2016, Cellular signalling.
[31] Hans V. Westerhoff,et al. BioComplexity: A pluralist research strategy is necessary for a mechanistic explanation of the "live" state , 2002 .
[32] J. Ferrell,et al. A positive-feedback-based bistable ‘memory module’ that governs a cell fate decision , 2003, Nature.
[33] Reka Albert,et al. Biological switches and clocks , 2008, Journal of The Royal Society Interface.
[34] Guanyu Wang,et al. Singularity analysis of the AKT signaling pathway reveals connections between cancer and metabolic diseases , 2010, Physical biology.
[35] Guanyu Wang,et al. Computer-Aided Targeting of the PI3K/Akt/mTOR Pathway: Toxicity Reduction and Therapeutic Opportunities , 2014, International journal of molecular sciences.