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10.15252/msb.20156297 http://scihub22266oqcxt.onion/10.15252/msb.20156297 C5615924!5615924 !28951502     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28951502 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28951502 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Mol+Syst+Biol 2017 ; 13 (9 ): 942 Nephropedia Template TP {{tp|p=28951502 |t=2017. Revisiting biomarker discovery by plasma proteomics |pdf=|usr=}}{{28951502 }} gab.com Text Revisiting biomarker discovery by plasma proteomics JO: Mol Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=28951502 #FOAvip Clinical analysis of blood is the most widespread diagnostic procedure in medicine, and blood biomarkers are used to categorize patients and to support treatment decisions. However, existing biomarkers are far from comprehensive and often lack specificity and new ones are being developed at a very slow rate. As described in this review, mass spectrometry (MS)-based proteomics has become a powerful technology in biological research and it is now poised to allow the characterization of the plasma proteome in great depth. Previous "triangular strategies" aimed at discovering single biomarker candidates in small cohorts, followed by classical immunoassays in much larger validation cohorts. We propose a "rectangular" plasma proteome profiling strategy, in which the proteome patterns of large cohorts are correlated with their phenotypes in health and disease. Translating such concepts into clinical practice will require restructuring several aspects of diagnostic decision-making, and we discuss some first steps in this direction. Twit Text FOAVip Revisiting biomarker discovery by plasma proteomics ????Mol Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=28951502 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28951502 #FOAvip English Wikipedia <ref>{{Cite pmid|28951502 }}</ref> Revisiting biomarker discovery by plasma proteomics #MMPMID28951502 Geyer PE ; Holdt LM ; Teupser D ; Mann M Mol Syst Biol 2017[Sep]; 13 (9 ): 942 PMID28951502 show ga Clinical analysis of blood is the most widespread diagnostic procedure in medicine, and blood biomarkers are used to categorize patients and to support treatment decisions. However, existing biomarkers are far from comprehensive and often lack specificity and new ones are being developed at a very slow rate. As described in this review, mass spectrometry (MS)-based proteomics has become a powerful technology in biological research and it is now poised to allow the characterization of the plasma proteome in great depth. Previous "triangular strategies" aimed at discovering single biomarker candidates in small cohorts, followed by classical immunoassays in much larger validation cohorts. We propose a "rectangular" plasma proteome profiling strategy, in which the proteome patterns of large cohorts are correlated with their phenotypes in health and disease. Translating such concepts into clinical practice will require restructuring several aspects of diagnostic decision-making, and we discuss some first steps in this direction. |Biomarkers/analysis [MESH] |Blood Proteins/*analysis [MESH] |Humans [MESH] |Mass Spectrometry/methods [MESH] |Phenotype [MESH] |Proteome/*analysis [MESH]Revisiting biomarker discovery by plasma proteomics (epmc).pdf DeepDyve Pubget Overpricing