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10.1371/journal.pone.0121546 http://scihub22266oqcxt.onion/10.1371/journal.pone.0121546 C4370675!4370675!25799053     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2015 ; 10 (3): ä Nephropedia Template TP {{tp|p=25799053|t=2015. A Method for Identification and Analysis of Non-Overlapping Myeloid Immunophenotypes in Humans |pdf=|usr=}}{{25799053}} gab.com Text A Method for Identification and Analysis of Non-Overlapping Myeloid Immunophenotypes in Humans JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=25799053 #FOAvip The development of flow cytometric biomarkers in human studies and clinical trials has been slowed by inconsistent sample processing, use of cell surface markers, and reporting of immunophenotypes. Additionally, the function(s) of distinct cell types as biomarkers cannot be accurately defined without the proper identification of homogeneous populations. As such, we developed a method for the identification and analysis of human leukocyte populations by the use of eight 10-color flow cytometric protocols in combination with novel software analyses. This method utilizes un-manipulated biological sample preparation that allows for the direct quantitation of leukocytes and non-overlapping immunophenotypes. We specifically designed myeloid protocols that enable us to define distinct phenotypes that include mature monocytes, granulocytes, circulating dendritic cells, immature myeloid cells, and myeloid derived suppressor cells (MDSCs). We also identified CD123 as an additional distinguishing marker for the phenotypic characterization of immature LIN-CD33+HLA-DR- MDSCs. Our approach permits the comprehensive analysis of all peripheral blood leukocytes and yields data that is highly amenable for standardization across inter-laboratory comparisons for human studies. Twit Text FOAVip A Method for Identification and Analysis of Non-Overlapping Myeloid Immunophenotypes in Humans ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=25799053 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25799053 #FOAvip English Wikipedia <ref>{{Cite pmid|25799053}}</ref> A Method for Identification and Analysis of Non-Overlapping Myeloid Immunophenotypes in Humans #MMPMID25799053 Gustafson MP; Lin Y; Maas ML; Van Keulen VP; Johnston PB; Peikert T; Gastineau DA; Dietz AB PLoS One 2015[]; 10 (3): ä PMID25799053show ga The development of flow cytometric biomarkers in human studies and clinical trials has been slowed by inconsistent sample processing, use of cell surface markers, and reporting of immunophenotypes. Additionally, the function(s) of distinct cell types as biomarkers cannot be accurately defined without the proper identification of homogeneous populations. As such, we developed a method for the identification and analysis of human leukocyte populations by the use of eight 10-color flow cytometric protocols in combination with novel software analyses. This method utilizes un-manipulated biological sample preparation that allows for the direct quantitation of leukocytes and non-overlapping immunophenotypes. We specifically designed myeloid protocols that enable us to define distinct phenotypes that include mature monocytes, granulocytes, circulating dendritic cells, immature myeloid cells, and myeloid derived suppressor cells (MDSCs). We also identified CD123 as an additional distinguishing marker for the phenotypic characterization of immature LIN-CD33+HLA-DR- MDSCs. Our approach permits the comprehensive analysis of all peripheral blood leukocytes and yields data that is highly amenable for standardization across inter-laboratory comparisons for human studies. äA Method for Identification and Analysis of Non-Overlapping Myeloid Im(epmc).pdf DeepDyve Pubget Overpricing