For each tissue region, the entire sample was bomb-loaded onto a reverse-phase 360 μm outer diameter (o.d.) × 100 μm inner diameter (i.d.) capillary trap column (3 cm length/5 μm Jupiter C
18 beads, 300 Å, Phenomenex) in-line with a 360 μm o.d. × 100 μm i.d. reverse-phase analytical column packed with 20 cm Jupiter C
18 beads (3 μm, 300 Å, Phenomenex) and equipped with a laser-pulled emitter tip. Using an Eksigent nanoLC-ultra HPLC system, peptides were eluted at a flow rate of 500 nL/min over a 120-minute gradient of 0.1% formic acid in water (solvent A) and 0.1% formic acid in acetonitrile (solvent B). The gradient consisted of 2% to 10% B in 20 minutes, 10% to 30% B in 30 minutes, 30% to 95% B in 15 minutes, 95% B for 15 minutes, followed by equilibration at 2% B. Gradient-eluted peptides were mass analyzed on an LTQ Velos Pro linear ion trap mass spectrometer with a nanoelectrospray ionization source (Thermo Scientific). The instrument was operated using a data-dependent method with dynamic exclusion enabled. Full scan (
m/z 300–2000) spectra were acquired and the top 10 most abundant ions in each MS scan were selected for fragmentation via collision-induced dissociation (CID). Tandem mass spectra were converted into DTA files using Scansifter
16 and searched using a custom version of Sequest (Thermo Fisher Scientific)
17 operating on the Vanderbilt ACCRE computing cluster. Tandem mass (MS/MS) spectra were searched against a concatenated forward and reverse (decoy) database containing the
Homo sapiens subset of UniprotKB Sprot protein database (
www.uniprot.org in the public domain). Additional search parameters included: trypsin enzyme specificity, monoisotopic masses were used for searching product ions, and oxidation of methionine, carbamidomethylation of cysteine, and phosphorylation of serine, threonine and tyrosine were allowed as variable modifications. Scaffold 4.3.4 (Proteome Software, Portland, OR, USA) was used to summarize and validate search results, where a minimum probability threshold of 95% was required for peptide identifications and data were filtered to a false-discovery rate (FDR
) of < 1% at the protein level. Peptide abundance in each region was compared using normalized spectral counts and a Student's
t-test was used to determine whether differences between the DF and RZ were statistically significant (
P < 0.05).