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• W2016046527 abstract "This study expands the capabilities for ultratrace proteomic analysis of our previous work by incorporating on-line sample desalting using a triphasic (RP/strong cation exchange (SCX)/micro-SPE) trapping column connected to a 3.2 m x 10 microm id poly(styrene-divinylbenzene) (PS-DVB) porous layer open tubular (PLOT) column. To minimize extra sample handling steps, C18 RP packing was incorporated in the capillary tubing upstream of the SCX column for the on-line desalting. For the micro-SPE column, a 50 microm id PS-DVB monolithic column was positioned downstream of the SCX column. High-performance separation was achieved on the PLOT column at a mobile phase flow rate of 20 nL/min. The sensitivity and high resolution capability of the new multidimensional platform was evaluated using an in-gel tryptic digested sample of a cervical cancer (SiHa) cell line. For the injected amount of 1200 cells ( approximately 500 ng), over 2700 peptides covering greater than 850 unique proteins were identified from the triphasic SCX/PLOT/MS analysis of a single SDS gel section (>40 kDa). The 2-D LC/MS platform demonstrated good separation performance, such that more than 85% of the identified peptides were detected from only one salt fraction. In a triplicate analysis of the above >40 kDa gel section, 4497 peptides and 1209 unique proteins were identified when applying stringent filtering criteria, with a false-positive rate of 2.4%. When all three SDS-PAGE gel sections of the lysed SiHa cells were analyzed, 5047 peptides and 1857 unique proteins (false-positive rate 1.8%), including cancer-related proteins such as MAP kinases, were identified." @default.
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• W2016046527 date "2008-04-17" @default.
• W2016046527 modified "2023-10-14" @default.
• W2016046527 title "Two‐dimensional strong cation exchange/porous layer open tubular/mass spectrometry for ultratrace proteomic analysis using a 10 μm id poly(styrene‐ divinylbenzene) porous layer open tubular column with an on‐line triphasic trapping column" @default.
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• W2016046527 doi "https://doi.org/10.1002/elps.200700741" @default.
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