Mass spectrometry-based
discovery glycoproteomics is
highly dependent
on the use of chromatography paradigms amenable to analyte retention
and separation. When compared against established stationary phases
such as reversed-phase and hydrophilic interaction liquid chromatography,
reports utilizing porous graphitic carbon have detailed its numerous
advantages. Recent efforts have highlighted the utility in porous
graphitic carbon in high-throughput glycoproteomics, principally through
enhanced profiling depth and liquid-phase resolution at higher column
temperatures. However, increasing column temperature has been shown
to impart disparaging effects in glycopeptide identification. Herein
we further elucidate this trend, describing qualitative and semiquantitative
effects of increased column temperature on glycopeptide identification
rates, signal intensity, resolution, and spectral count linear response.
Through analysis of enriched bovine and human glycopeptides, species
with high mannose and sialylated glycans were shown to most significantly
benefit and suffer from high column temperatures, respectively. These
results provide insight as to how porous graphitic carbon separations
may be appropriately leveraged for glycopeptide identification while
raising concerns over quantitative and semiquantitative label-free
comparisons as the temperature changes. RAW MS glycoproteomic data
are available via ProteomeXchange with identifier PXD034354.