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10.1038/s41598-017-09393-w http://scihub22266oqcxt.onion/10.1038/s41598-017-09393-w C5567309!5567309 !28831120     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28831120 &cmd=llinks): Failed to open stream: HTTP request failed! 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Identification of novel molecular signatures of IgA nephropathy through an integrative -omics analysis |pdf=|usr=}}{{28831120 }} gab.com Text Identification of novel molecular signatures of IgA nephropathy through an integrative -omics analysis JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=28831120 #FOAvip IgA nephropathy (IgAN) is the most prevalent among primary glomerular diseases worldwide. Although our understanding of IgAN has advanced significantly, its underlying biology and potential drug targets are still unexplored. We investigated a combinatorial approach for the analysis of IgAN-relevant -omics data, aiming at identification of novel molecular signatures of the disease. Nine published urinary proteomics datasets were collected and the reported differentially expressed proteins in IgAN vs. healthy controls were integrated into known biological pathways. Proteins participating in these pathways were subjected to multi-step assessment, including investigation of IgAN transcriptomics datasets (Nephroseq database), their reported protein-protein interactions (STRING database), kidney tissue expression (Human Protein Atlas) and literature mining. Through this process, from an initial dataset of 232 proteins significantly associated with IgAN, 20 pathways were predicted, yielding 657 proteins for further analysis. Step-wise evaluation highlighted 20 proteins of possibly high relevance to IgAN and/or kidney disease. Experimental validation of 3 predicted relevant proteins, adenylyl cyclase-associated protein 1 (CAP1), SHC-transforming protein 1 (SHC1) and prolylcarboxypeptidase (PRCP) was performed by immunostaining of human kidney sections. Collectively, this study presents an integrative procedure for -omics data exploitation, giving rise to biologically relevant results. Twit Text FOAVip Identification of novel molecular signatures of IgA nephropathy through an integrative -omics analysis ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=28831120 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28831120 #FOAvip English Wikipedia <ref>{{Cite pmid|28831120 }}</ref> Identification of novel molecular signatures of IgA nephropathy through an integrative -omics analysis #MMPMID28831120 Krochmal M ; Cisek K ; Filip S ; Markoska K ; Orange C ; Zoidakis J ; Gakiopoulou C ; Spasovski G ; Mischak H ; Delles C ; Vlahou A ; Jankowski J Sci Rep 2017[Aug]; 7 (1 ): 9091 PMID28831120 show ga IgA nephropathy (IgAN) is the most prevalent among primary glomerular diseases worldwide. Although our understanding of IgAN has advanced significantly, its underlying biology and potential drug targets are still unexplored. We investigated a combinatorial approach for the analysis of IgAN-relevant -omics data, aiming at identification of novel molecular signatures of the disease. Nine published urinary proteomics datasets were collected and the reported differentially expressed proteins in IgAN vs. healthy controls were integrated into known biological pathways. Proteins participating in these pathways were subjected to multi-step assessment, including investigation of IgAN transcriptomics datasets (Nephroseq database), their reported protein-protein interactions (STRING database), kidney tissue expression (Human Protein Atlas) and literature mining. Through this process, from an initial dataset of 232 proteins significantly associated with IgAN, 20 pathways were predicted, yielding 657 proteins for further analysis. Step-wise evaluation highlighted 20 proteins of possibly high relevance to IgAN and/or kidney disease. Experimental validation of 3 predicted relevant proteins, adenylyl cyclase-associated protein 1 (CAP1), SHC-transforming protein 1 (SHC1) and prolylcarboxypeptidase (PRCP) was performed by immunostaining of human kidney sections. Collectively, this study presents an integrative procedure for -omics data exploitation, giving rise to biologically relevant results. |Carboxypeptidases/genetics/*metabolism [MESH] |Case-Control Studies [MESH] |Cell Cycle Proteins/genetics/*metabolism [MESH] |Cytoskeletal Proteins/genetics/*metabolism [MESH] |Data Mining [MESH] |Databases, Protein [MESH] |Female [MESH] |Gene Expression Profiling/*methods [MESH] |Gene Regulatory Networks [MESH] |Glomerulonephritis, IGA/genetics/*metabolism/urine [MESH] |Humans [MESH] |Kidney/metabolism [MESH] |Male [MESH] |Protein Interaction Maps [MESH] |Proteomics/*methods [MESH] |Src Homology 2 Domain-Containing, Transforming Protein 1/genetics/*metabolism [MESH]Identification of novel molecular signatures of IgA nephropathy throug(epmc).pdf DeepDyve Pubget Overpricing