Temporal expression profiling of plasma proteins reveals oxidative stress in early stages of Type 1 Diabetes progression.

[1]  M. Rewers,et al.  Temporal profiles of plasma proteome during childhood development. , 2017, Journal of proteomics.

[2]  D. Choi,et al.  Alteration of Energy Metabolism and Antioxidative Processing in the Hippocampus of Rats Reared in Long-Term Environmental Enrichment , 2016, Developmental Neuroscience.

[3]  T. Pearson,et al.  Multiplexed longitudinal measurement of protein biomarkers in DBS using an automated SISCAPA workflow. , 2016, Bioanalysis.

[4]  Y. Urano,et al.  Discovery of a pyruvylated peptide-metabolizing enzyme using a fluorescent substrate-based protein discovery technique. , 2016, Chemical communications.

[5]  Qibin Zhang,et al.  Type 1 diabetes cadaveric human pancreata exhibit a unique exocrine tissue proteomic profile , 2016, Proteomics.

[6]  Juan Pablo Córdoba,et al.  The CA domain of the respiratory complex I is required for normal embryogenesis in Arabidopsis thaliana. , 2016, Journal of experimental botany.

[7]  2. Classification and Diagnosis of Diabetes , 2015, Diabetes Care.

[8]  José A. Dianes,et al.  2016 update of the PRIDE database and its related tools , 2015, Nucleic Acids Res..

[9]  R. Gagliardo,et al.  Cigarette smoke extract (CSE) promotes acetylcholine (ACh) mediated inflammation and oxidative stress by PEBP1/Raf-mediated MEK and ERK pathway in human bronchial epithelial cells , 2015 .

[10]  A. Ziegler,et al.  General population screening for type 1 diabetes: has its time come? , 2015, Current opinion in endocrinology, diabetes, and obesity.

[11]  S. Gygi,et al.  Comprehensive Temporal Protein Dynamics during the Diauxic Shift in Saccharomyces cerevisiae , 2015, Molecular & Cellular Proteomics.

[12]  Jacob D. Jaffe,et al.  Deep, Quantitative Coverage of the Lysine Acetylome Using Novel Anti-acetyl-lysine Antibodies and an Optimized Proteomic Workflow* , 2015, Molecular & Cellular Proteomics.

[13]  E. Bonifacio,et al.  Predictors of Progression From the Appearance of Islet Autoantibodies to Early Childhood Diabetes: The Environmental Determinants of Diabetes in the Young (TEDDY) , 2015, Diabetes Care.

[14]  Olli Simell,et al.  Serum Proteomes Distinguish Children Developing Type 1 Diabetes in a Cohort With HLA-Conferred Susceptibility , 2015, Diabetes.

[15]  G. von Heijne,et al.  Tissue-based map of the human proteome , 2015, Science.

[16]  Matthias Mann,et al.  The Q Exactive HF, a Benchtop Mass Spectrometer with a Pre-filter, High-performance Quadrupole and an Ultra-high-field Orbitrap Analyzer* , 2014, Molecular & Cellular Proteomics.

[17]  J. Yates,et al.  Isobaric Labeling-Based Relative Quantification in Shotgun Proteomics , 2014, Journal of proteome research.

[18]  Pietro Ghezzi,et al.  Linkage of inflammation and oxidative stress via release of glutathionylated peroxiredoxin-2, which acts as a danger signal , 2014, Proceedings of the National Academy of Sciences.

[19]  Janne Lehtiö,et al.  Mass spectrometry-based plasma proteomics: state of the art and future outlook , 2014, Expert review of proteomics.

[20]  G. Mills,et al.  Peroxiredoxin-1 protects estrogen receptor α from oxidative stress-induced suppression and is a protein biomarker of favorable prognosis in breast cancer , 2014, Breast Cancer Research.

[21]  M. Kleerebezem,et al.  H2O2 Production in Species of the Lactobacillus acidophilus Group: a Central Role for a Novel NADH-Dependent Flavin Reductase , 2014, Applied and Environmental Microbiology.

[22]  Joshua LaBaer,et al.  Serological autoantibody profiling of type 1 diabetes by protein arrays. , 2013, Journal of proteomics.

[23]  Ryan Hafen,et al.  Trelliscope: A system for detailed visualization in the deep analysis of large complex data , 2013, 2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV).

[24]  E. Bonifacio,et al.  Seroconversion to multiple islet autoantibodies and risk of progression to diabetes in children. , 2013, JAMA.

[25]  E. Kosenko,et al.  Age-related defects in erythrocyte 2,3-diphosphoglycerate metabolism in dementia. , 2013, Aging and disease.

[26]  Qibin Zhang,et al.  Serum proteomics reveals systemic dysregulation of innate immunity in type 1 diabetes , 2013, The Journal of experimental medicine.

[27]  R. Rosenson,et al.  Modulation of oxidative stress, inflammation, and atherosclerosis by lipoprotein-associated phospholipase A2 , 2012, Journal of Lipid Research.

[28]  Richard D. Smith,et al.  Discovery of novel glucose-regulated proteins in isolated human pancreatic islets using LC-MS/MS-based proteomics. , 2012, Journal of proteome research.

[29]  M. Mann,et al.  Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins* , 2012, Molecular & Cellular Proteomics.

[30]  J. She,et al.  Discovery and Validation of Serum Protein Changes in Type 1 Diabetes Patients Using High Throughput Two Dimensional Liquid Chromatography-Mass Spectrometry and Immunoassays* , 2011, Molecular & Cellular Proteomics.

[31]  L. Zolla,et al.  Peroxiredoxin‐2 as a candidate biomarker to test oxidative stress levels of stored red blood cells under blood bank conditions , 2011, Transfusion.

[32]  R. Aebersold,et al.  A High-Confidence Human Plasma Proteome Reference Set with Estimated Concentrations in PeptideAtlas* , 2011, Molecular & Cellular Proteomics.

[33]  Ronald J. Moore,et al.  Reversed‐phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells , 2011, Proteomics.

[34]  M. Mann,et al.  More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC-MS/MS. , 2011, Journal of proteome research.

[35]  X. Lei,et al.  Two tales of antioxidant enzymes on β cells and diabetes. , 2011, Antioxidants & redox signaling.

[36]  Donna D. Zhang,et al.  Regulation of the Nrf2-Keap1 antioxidant response by the ubiquitin proteasome system: an insight into cullin-ring ubiquitin ligases. , 2010, Antioxidants & redox signaling.

[37]  Wancai Yang,et al.  Functional and physical interaction between the selenium-binding protein 1 (SBP1) and the glutathione peroxidase 1 selenoprotein. , 2010, Carcinogenesis.

[38]  M. Düfer,et al.  Oxidative stress and beta-cell dysfunction , 2010, Pflügers Archiv - European Journal of Physiology.

[39]  M. Rewers,et al.  Early-Life Predictors of Higher Body Mass Index in Healthy Children , 2009, Annals of Nutrition and Metabolism.

[40]  M. Gomes,et al.  Plasma PAF-acetylhydrolase activity, inflammatory markers and susceptibility of LDL to in vitro oxidation in patients with type 1 diabetes mellitus. , 2009, Diabetes research and clinical practice.

[41]  J. M. Norris,et al.  Height growth velocity, islet autoimmunity and type 1 diabetes development: the Diabetes Autoimmunity Study in the Young , 2009, Diabetologia.

[42]  D. Benvegnú,et al.  δ-ALA-D activity is a reliable marker for oxidative stress in bone marrow transplant patients , 2009, BMC Cancer.

[43]  Olli Simell,et al.  Dysregulation of lipid and amino acid metabolism precedes islet autoimmunity in children who later progress to type 1 diabetes , 2008, The Journal of experimental medicine.

[44]  M. Gomes,et al.  Serum platelet-activating factor acetylhydrolase activity: a novel potential inflammatory marker in type 1 diabetes. , 2008, Prostaglandins & other lipid mediators.

[45]  Ronald J Moore,et al.  Application of proteomics in the discovery of candidate protein biomarkers in a diabetes autoantibody standardization program sample subset. , 2008, Journal of proteome research.

[46]  M. Rewers,et al.  Omega-3 polyunsaturated fatty acid intake and islet autoimmunity in children at increased risk for type 1 diabetes. , 2007, JAMA.

[47]  H. Asao,et al.  Elevated oxidative stress in erythrocytes due to a SOD1 deficiency causes anaemia and triggers autoantibody production. , 2007, The Biochemical journal.

[48]  Richard D. Smith,et al.  Advances in proteomics data analysis and display using an accurate mass and time tag approach. , 2006, Mass spectrometry reviews.

[49]  Stephen J. Callister,et al.  Normalization approaches for removing systematic biases associated with mass spectrometry and label-free proteomics. , 2006, Journal of proteome research.

[50]  T. Reinehr,et al.  The ‘accelerator hypothesis’: relationship between weight, height, body mass index and age at diagnosis in a large cohort of 9,248 German and Austrian children with type 1 diabetes mellitus , 2005, Diabetologia.

[51]  T. Wilkin,et al.  Increasing body weight predicts the earlier onset of insulin‐dependant diabetes in childhood: testing the ‘accelerator hypothesis’ (2) , 2005, Diabetic medicine : a journal of the British Diabetic Association.

[52]  M. Rewers,et al.  Clinical characteristics of children diagnosed with type 1 diabetes through intensive screening and follow-up. , 2004, Diabetes care.

[53]  B. Metcalf,et al.  Testing the accelerator hypothesis: the relationship between body mass and age at diagnosis of type 1 diabetes. , 2003, Diabetes care.

[54]  R. Bergenstal,et al.  Type 1 diabetes , 2002, Definitions.

[55]  M. Rewers,et al.  Newborn screening for HLA markers associated with IDDM: Diabetes Autoimmunity Study in the Young (DAISY) , 1996, Diabetologia.

[56]  S. Marklund,et al.  Effects of oxidative stress on expression of extracellular superoxide dismutase, CuZn-superoxide dismutase and Mn-superoxide dismutase in human dermal fibroblasts. , 1994, The Biochemical journal.

[57]  BOULIN,et al.  Classification and Diagnosis of Diabetes. , 2022, Primary care.

[58]  Dhiren P. Shah,et al.  ON OXIDATIVE STRESS AND DIABETIC COMPLICATIONS , 2013 .

[59]  M. V. von Herrath,et al.  Type 1 diabetes: etiology, immunology, and therapeutic strategies. , 2011, Physiological reviews.

[60]  P. Bingley.  Clinical applications of diabetes antibody testing. , 2010, The Journal of clinical endocrinology and metabolism.

[61]  P. Loewen,et al.  Diversity of structures and properties among catalases , 2003, Cellular and Molecular Life Sciences CMLS.

[62]  D. Yue,et al.  Oxidative stress in families of type 1 diabetic patients. , 2000, Diabetes care.

[63]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .