2017
DOI: 10.1080/14789450.2017.1315303
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Applying proteomics to detect early signs of chronic kidney disease: where has the magic gone?

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Cited by 4 publications
(2 citation statements)
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“…Notably, our results were further supported by transcriptomic data obtained from human kidney biopsies [15] and were validated in additional spontaneous and induced SLE mouse models. To our knowledge these proteins have not been identified previously in proteomics studies in other kidney diseases [39,40].…”
Section: Discussionmentioning
confidence: 83%
“…Notably, our results were further supported by transcriptomic data obtained from human kidney biopsies [15] and were validated in additional spontaneous and induced SLE mouse models. To our knowledge these proteins have not been identified previously in proteomics studies in other kidney diseases [39,40].…”
Section: Discussionmentioning
confidence: 83%
“…Proteomic studies have produced less rapid success in this area than was initially predicted a decade ago 8 due to multiple challenges such as the complexity of proteomics technology; strict requirements for standardized specimen collection, processing and storage; difficulties in quantification of urinary markers with low abundances; and the large variation in urine protein excretion between individuals. Despite these difficulties, a urinary biomarker panel was derived from capillary electrophoresis-mass spectrometry (MS) analysis of urine samples of patients with CKD.…”
Section: Systems Biological Approaches To Develop New Dkd Biomarkersmentioning
confidence: 99%