Proteomics for Biomarker Identification and Clinical Application in Kidney Disease

This publication has 122 references indexed in Scilit:

• CKD273, a New Proteomics Classifier Assessing CKD and Its Prognosis
  PLOS ONE, 2013
• Insights into the regulation of protein abundance from proteomic and transcriptomic analyses
  Nature Reviews Genetics, 2012
• Proteomic Identification of Early Biomarkers of Acute Kidney Injury After Cardiac Surgery in Children
  American Journal of Kidney Diseases, 2010
• Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies
  Nature Biotechnology, 2010
• Shotgun proteomics identifies proteins specific for acute renal transplant rejection
  Proteomics – Clinical Applications, 2010
• The human urinary proteome reveals high similarity between kidney aging and chronic kidney disease
  Proteomics, 2009
• MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification
  Nature Biotechnology, 2008
• Biomarkers of lupus nephritis determined by serial urine proteomics
  Kidney International, 2008
• Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry
  Nature Methods, 2007
• Exosomal Fetuin-A identified by proteomics: A novel urinary biomarker for detecting acute kidney injury
  Kidney International, 2006