Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease*
暂无分享,去创建一个
M. Girolami | A. Dominiczak | A. Ganser | W. Kolch | L. Tarnow | G. Jerums | H. Mischak | B. Julian | J. Novak | E. Schiffer | D. Theodorescu | J. Coon | M. Dakna | J. Ehrich | D. Fliser | M. Haubitz | J. Jankowski | Z. Massy | K. Peter | J. Schanstra | V. Thongboonkerd | R. Vanholder | E. Weissinger | F. Eitner | M. Luppi | C. Neusüss | A. Krolewski | J. Stolzenburg | P. Schmitt‐Kopplin | P. Zürbig | K. Rossing | D. Good | À. Argilés | C. Delles | S. Herget-Rosenthal | M. Frommberger | V. Kliem | M. Melter | W. Gwinner | H. Rupprecht | S. Decramer | H. Jahn | M. Kellmann | H. Bauer | G. Behrens | Igor Golovko | S. Herget‐Rosenthal | C. Neusüß | Mohammed Dakna
[1] Hui Ting Chan,et al. All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462 293 adults in Taiwan , 2008, The Lancet.
[2] J. Shabanowitz,et al. Peptide and protein sequence analysis by electron transfer dissociation mass spectrometry. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[3] Juri Rappsilber,et al. Exploring the hidden human urinary proteome via ligand library beads. , 2005, Journal of proteome research.
[4] H. Mischak,et al. Predicting the clinical outcome of congenital unilateral ureteropelvic junction obstruction in newborn by urinary proteome analysis , 2006, Nature Medicine.
[5] Zheng Rong Yang,et al. Biological applications of support vector machines , 2004, Briefings Bioinform..
[6] D. Maahs,et al. The urinary proteome in diabetes and diabetes‐associated complications: New ways to assess disease progression and evaluate therapy , 2008, PROTEOMICS - Clinical Applications.
[7] Joshua J. Coon,et al. Post-acquisition ETD spectral processing for increased peptide identifications , 2009, Journal of the American Society for Mass Spectrometry.
[8] A. Semjonow,et al. Pilot study of capillary electrophoresis coupled to mass spectrometry as a tool to define potential prostate cancer biomarkers in urine , 2005, Electrophoresis.
[9] Rembert Pieper,et al. Characterization of the human urinary proteome: A method for high‐resolution display of urinary proteins on two‐dimensional electrophoresis gels with a yield of nearly 1400 distinct protein spots , 2004, Proteomics.
[10] V. Thongboonkerd,et al. Serial changes in urinary proteome profile of membranous nephropathy: implications for pathophysiology and biomarker discovery. , 2006, Journal of proteome research.
[11] 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.
[12] H. Mischak,et al. Proteomic patterns established with capillary electrophoresis and mass spectrometry for diagnostic purposes. , 2004, Kidney international.
[13] P. Nickerson,et al. Proteomic-based detection of urine proteins associated with acute renal allograft rejection. , 2004, Journal of the American Society of Nephrology : JASN.
[14] Shin-Yoon Kim,et al. Establishment of a near‐standard two‐dimensional human urine proteomic map , 2004, Proteomics.
[15] R. Deitch. Commentary from Westminster , 1984, The Lancet.
[16] G. McAlister,et al. Performance Characteristics of Electron Transfer Dissociation Mass Spectrometry*S , 2007, Molecular & Cellular Proteomics.
[17] H. Mischak,et al. Urine protein patterns can serve as diagnostic tools in patients with IgA nephropathy. , 2005, Kidney international.
[18] Thorsten Kaiser,et al. Proteomic analysis for the assessment of diabetic renal damage in humans. , 2004, Clinical science.
[19] C. Jackson,et al. MICROALBUMINURIA AS PREDICTOR OF VASCULAR DISEASE IN NON-DIABETIC SUBJECTS Islington Diabetes Survey , 1988, The Lancet.
[20] H. Mischak,et al. Biomarker discovery by CE‐MS enables sequence analysis via MS/MS with platform‐independent separation , 2006, Electrophoresis.
[21] Chul-woo Yang,et al. Proteomic analysis of alpha‐1‐antitrypsin in immunoglobulin A nephropathy , 2007, Proteomics. Clinical applications.
[22] H. Mischak,et al. High‐resolution proteome/peptidome analysis of peptides and low‐molecular‐weight proteins in urine , 2007, Proteomics. Clinical applications.
[23] D. Vonderschmitt,et al. Electrophoretic, chromatographic and immunological studies of human urinary proteins , 1995, Electrophoresis.
[24] Kuo-Chen Chou,et al. Bio-support vector machines for computational proteomics , 2004, Bioinform..
[25] F. Scolari,et al. Repetitive Fragmentation Products of Albumin and α1-Antitrypsin in Glomerular Diseases Associated with Nephrotic Syndrome , 2006 .
[26] R. Wahl,et al. Towards defining the urinary proteome using liquid chromatography‐tandem mass spectrometry I.Profiling an unfractionated tryptic digest , 2001, Proteomics.
[27] H. Frierson,et al. Discovery and validation of new protein biomarkers for urothelial cancer: a prospective analysis. , 2006, The Lancet. Oncology.
[28] M. Mann,et al. The human urinary proteome contains more than 1500 proteins, including a large proportion of membrane proteins , 2006, Genome Biology.
[29] A. Dominiczak,et al. Evaluation of urine proteome pattern analysis for its potential to reflect coronary artery atherosclerosis in symptomatic patients. , 2009, Journal of proteome research.
[30] J. C. BurgesChristopher. A Tutorial on Support Vector Machines for Pattern Recognition , 1998 .
[31] J. Coon,et al. Advancing proteomics with ion/ion chemistry. , 2006, BioTechniques.
[32] Jürgen Läuter,et al. Multiple Testing Procedures with Applications to Genomics. S. Dudoit and M. J. van der Laan (2008). New York: Springer Science+Business Media, LLC. ISBN: 978-0-387-49316-9. , 2010 .
[33] S. Dudoit,et al. Multiple Testing Procedures with Applications to Genomics , 2007 .
[34] Rong-Fong Shen,et al. Identification and proteomic profiling of exosomes in human urine. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[35] O. Ayodele,et al. The global burden of chronic kidney disease and the way forward. , 2005, Ethnicity & disease.
[36] John R Raymond,et al. Urine biomarkers predict the cause of glomerular disease. , 2007, Journal of the American Society of Nephrology : JASN.
[37] H. Mischak,et al. Electrophoretic methods for analysis of urinary polypeptides in IgA‐associated renal diseases , 2007, Electrophoresis.
[38] W. Kolch,et al. Capillary electrophoresis-mass spectrometry as a powerful tool in clinical diagnosis and biomarker discovery. , 2005, Mass spectrometry reviews.
[39] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[40] J. M. DeLeo,et al. Receiver operating characteristic laboratory (ROCLAB): Software for developing decision strategies that account for uncertainty , 1993, 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis.
[41] Luxia Zhang,et al. Comparison of the prevalence of chronic kidney disease among different ethnicities: Beijing CKD survey and American NHANES. , 2008, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.
[42] T. Marshall,et al. Two‐dimensional electrophoresis of human urinary proteins following concentration by dye precipitation , 1996, Electrophoresis.
[43] Harald Mischak,et al. Urinary proteomics in diabetes and CKD. , 2008, Journal of the American Society of Nephrology : JASN.
[44] Mark Girolami,et al. Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors , 2006, Neural Computation.
[45] M. J. Chalmers,et al. Combined top-down and bottom-up mass spectrometric approach to characterization of biomarkers for renal disease. , 2005, Analytical chemistry.
[46] The effect of interfering ions on search algorithm performance for electron‐transfer dissociation data , 2010, Proteomics.
[47] M. Girolami,et al. Clinical proteomics: A need to define the field and to begin to set adequate standards , 2007, Proteomics. Clinical applications.
[48] Joshua J. Coon,et al. Electron transfer dissociation of peptide anions , 2005, Journal of the American Society for Mass Spectrometry.
[49] Mark Girolami,et al. Analysis of complex, multidimensional datasets. , 2006, Drug discovery today. Technologies.
[50] J. Woodcock,et al. The Prospects for “Personalized Medicine” in Drug Development and Drug Therapy , 2007, Clinical pharmacology and therapeutics.
[51] Bodo E. Knudsen,et al. Surface‐enhanced laser desorption/ionization‐time of flight‐mass spectrometry (SELDI‐TOF‐MS): A new proteomic urinary test for patients with urolithiasis , 2004, Journal of clinical laboratory analysis.
[52] Harald Mischak,et al. Identification and Validation of Urinary Biomarkers for Differential Diagnosis and Evaluation of Therapeutic Intervention in Anti-neutrophil Cytoplasmic Antibody-associated Vasculitis* , 2009, Molecular & Cellular Proteomics.
[53] H. Mischak,et al. Peptidomic analysis of rat urine using capillary electrophoresis coupled to mass spectrometry , 2007, Proteomics. Clinical applications.
[54] H. Parving,et al. Impact of diabetic nephropathy and angiotensin II receptor blockade on urinary polypeptide patterns. , 2005, Kidney international.
[55] A. Pollock,et al. Matrix metalloproteinase 2 and basement membrane integrity: a unifying mechanism for progressive renal injury , 2006, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.
[56] Visith Thongboonkerd,et al. Proteomic analysis of normal human urinary proteins isolated by acetone precipitation or ultracentrifugation. , 2002, Kidney international.
[57] A. Ganser,et al. Proteomic patterns predict acute graft-versus-host disease after allogeneic hematopoietic stem cell transplantation. , 2007, Blood.
[58] R. Atkins,et al. Two-dimensional gel electrophoresis of urinary proteins in kidney diseases. , 1990, Contributions to nephrology.
[59] Walter Kolch,et al. Urinary Proteomic Biomarkers in Coronary Artery Disease*S , 2008, Molecular & Cellular Proteomics.
[60] W. Kolch,et al. Mass spectrometry for the detection of differentially expressed proteins: a comparison of surface-enhanced laser desorption/ionization and capillary electrophoresis/mass spectrometry. , 2004, Rapid communications in mass spectrometry : RCM.
[61] H. Mischak,et al. Quantitative urinary proteome analysis for biomarker evaluation in chronic kidney disease. , 2009, Journal of proteome research.
[62] J. Chakraborty,et al. Tamm-Horsfall protein in patients with kidney damage and diabetes , 2004, Urological Research.
[63] J. Bonventre,et al. Towards the application of proteomics in renal disease diagnosis. , 2005, Clinical science.
[64] D. Russell,et al. Utility of CE-MS data in protein identification. , 2007, Analytical chemistry.
[65] J. Konen,et al. Albuminuria vs urinary total protein for detecting chronic renal disorders. , 1991, Clinical chemistry.
[66] Lennart Martens,et al. The minimum information about a proteomics experiment (MIAPE) , 2007, Nature Biotechnology.
[67] A. Dominiczak,et al. Body fluid proteomics for biomarker discovery: lessons from the past hold the key to success in the future. , 2007, Journal of proteome research.
[68] Harald Mischak,et al. Advances in urinary proteome analysis and biomarker discovery. , 2007, Journal of the American Society of Nephrology : JASN.
[69] Jean YH Yang,et al. Bioconductor: open software development for computational biology and bioinformatics , 2004, Genome Biology.
[70] O. Torffvit,et al. Decreased urinary concentration of Tamm–Horsfall protein is associated with development of renal failure and cardiovascular death within 20 years in type 1 but not in type 2 diabetic patients , 2008, Scandinavian journal of urology and nephrology.