A novel
fully automatable two-dimensional liquid chromatography
(2DLC) platform has been integrated into a modified commercial off-the-shelf
LC instrument, incorporating porous graphitic carbon (PGC) separation
and conventional low-pH reversed-phase (RP) separation for both proteomics
and N-glycomics analyses; the dual-trap column configuration
of this platform offers desirable high-throughput analyses with almost
no idle time, in addition to a miniaturized setup and simplified operation.
The total run time per analysis was only 19 h when using eight PGC
fractions for unattended large-scale qualitative and quantitative
proteomic analyses; the identification of 2678 nonredundant proteins
and 11 984 unique peptides provided one of the most comprehensive
proteome data sets for primary cerebellar granule neurons (CGNs).
The effect of pH on the PGC column was investigated for the first
time to improve the hydrophobic peptide coverage; the performance
of the optimized system was first benchmarked using tryptic digests
of Saccharomyces cerevisiae cell lysates
and then evaluated through duplicate analyses of Macaca
fascicularis cerebral cortex lysates using isobaric
tags for relative and absolute quantitation (iTRAQ) technology. An
additional plug-and-play PGC module functioned in a complementary
manner to recover unretained hydrophilic solutes from the low-pH RP
column; synchronization of the fractionations between the PGC-RP system
and the PGC module facilitated simultaneous analyses of hydrophobic
and hydrophilic compounds from a single sample injection event. This
methodology was applied to perform, for the first time, detailed glycomics
analyses of Macaca fascicularis plasma,
resulting in the identification of a total 130 N-glycosylated
plasma proteins, 705 N-glycopeptides, and 254 N-glycosylation sites