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10.1021/acscentsci.5b00126 http://scihub22266oqcxt.onion/10.1021/acscentsci.5b00126 C4571165!4571165!26405691     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       ACS+Cent+Sci 2015 ; 1 (4): 191-7 Nephropedia Template TP {{tp|p=26405691|t=2015. A Multichannel Biosensor for Rapid Determination of Cell Surface Glycomic Signatures |pdf=|usr=}}{{26405691}} gab.com Text A Multichannel Biosensor for Rapid Determination of Cell Surface Glycomic Signatures JO: ACS Cent Sci http://www.kidney.de/pget.php?&tw=1&pmid=26405691 #FOAvip Cell surface glycosylation serves a fundamental role in dictating cell and tissue behavior. Cell surface glycomes differ significantly, presenting viable biomarkers for identifying cell types and their states. Glycoprofiling is a challenging task, however, due to the complexity of the constituent glycans. We report here a rapid and effective sensor for surface-based cell differentiation that uses a three-channel sensor produced by noncovalent conjugation of a functionalized gold nanoparticle (AuNP) and fluorescent proteins. Wild-type and glycomutant mammalian cells were effectively stratified using fluorescence signatures obtained from a single sensor element. Blinded unknowns generated from the tested cell types were identified with high accuracy (44 out of 48 samples), validating the robustness of the multichannel sensor. Notably, this selectivity-based high-throughput sensor differentiated between cells, employing a nondestructive protocol that required only a single well of a microplate for detection. Twit Text FOAVip A Multichannel Biosensor for Rapid Determination of Cell Surface Glycomic Signatures ????ACS Cent Sci http://www.kidney.de/pget.php?&tw=1&pmid=26405691 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26405691 #FOAvip English Wikipedia <ref>{{Cite pmid|26405691}}</ref> A Multichannel Biosensor for Rapid Determination of Cell Surface Glycomic Signatures #MMPMID26405691 Rana S; Le NDB; Mout R; Duncan B; Elci SG; Saha K; Rotello VM ACS Cent Sci 2015[Jul]; 1 (4): 191-7 PMID26405691show ga Cell surface glycosylation serves a fundamental role in dictating cell and tissue behavior. Cell surface glycomes differ significantly, presenting viable biomarkers for identifying cell types and their states. Glycoprofiling is a challenging task, however, due to the complexity of the constituent glycans. We report here a rapid and effective sensor for surface-based cell differentiation that uses a three-channel sensor produced by noncovalent conjugation of a functionalized gold nanoparticle (AuNP) and fluorescent proteins. Wild-type and glycomutant mammalian cells were effectively stratified using fluorescence signatures obtained from a single sensor element. Blinded unknowns generated from the tested cell types were identified with high accuracy (44 out of 48 samples), validating the robustness of the multichannel sensor. Notably, this selectivity-based high-throughput sensor differentiated between cells, employing a nondestructive protocol that required only a single well of a microplate for detection. äA Multichannel Biosensor for Rapid Determination of Cell Surface Glyco(epmc).pdf DeepDyve Pubget Overpricing