The ubiquity of mass spectrometry-based
bottom-up proteomic analyses
as a component of biological investigation mandates the validation
of methodologies that increase acquisition efficiency, improve sample
coverage, and enhance profiling depth. Chromatographic separation
is often ignored as an area of potential improvement, with most analyses
relying on traditional reversed-phase liquid chromatography (RPLC);
this consistent reliance on a single chromatographic paradigm fundamentally
limits our view of the observable proteome. Herein, we build upon
early reports and validate porous graphitic carbon chromatography
(PGC) as a facile means to substantially enhance proteomic coverage
without changes to sample preparation, instrument configuration, or
acquisition methods. Analysis of offline fractionated cell line digests
using both separations revealed an increase in peptide and protein
identifications by 43% and 24%, respectively. Increased identifications
provided more comprehensive coverage of cellular components and biological
processes independent of protein abundance, highlighting the substantial
quantity of proteomic information that may go undetected in standard
analyses. We further utilize these data to reveal that label-free
quantitative analyses using RPLC separations alone may not be reflective
of actual protein constituency. Together, these data highlight the
value and comprehension offered through PGC-MS proteomic analyses.
RAW proteomic data have been uploaded to the MassIVE repository with
the primary accession code MSV000091495.