Abstract
Peptides function as signaling molecules in species as diverse as humans and yeast. Mass spectrometry-based peptidomics techniques provide a relatively unbiased method to assess the peptidome of biological samples. In the present study, we used a quantitative peptidomic technique to characterize the peptidome of the yeast Saccharomyces cerevisiae and compare it to the peptidomes of mammalian cell lines and tissues. Altogether, 297 yeast peptides derived from 75 proteins were identified. The yeast peptides are similar to those of the human peptidome in average size and amino acid composition. Inhibition of proteasome activity with either bortezomib or epoxomicin led to decreased levels of some yeast peptides, suggesting that these peptides are generated by the proteasome. Approximately 30% of the yeast peptides correspond to the N- or C-terminus of the protein; the human peptidome is also highly represented in N- or C-terminal protein fragments. Most yeast and humans peptides are derived from a subset of abundant proteins, many with functions involving cellular metabolism or protein synthesis and folding. Of the 75 yeast proteins that give rise to peptides, 24 have orthologs that give rise to human and/or mouse peptides and for some, the same region of the proteins are found in the human, mouse, and yeast peptidomes. Taken together, these results support the hypothesis that intracellular peptides may have specific and conserved biological functions.
Introduction
Peptides perform a number of diverse functions in organisms from yeast to humans. Many chemical intercellular messengers are peptides, such as mammalian peptide hormones and neuropeptides [1,2]. Some species of yeast also use peptides to signal as pheromones or mating signals, such as alpha-mating factor and a-mating factor of Saccharomyces cerevisiae [3,4]. In higher eukaryotes with a functional immune system (i.e. jawed vertebrates), peptides produced within the cell by proteasome-mediated cleavages are displayed on the cell surface attached to Major Histocompatibility Complex (MHC) proteins and function in immune system recognition [5–7]. Only peptides that are a specific length (typically 9–10 amino acids), contain certain sequence motifs, and which are transported into the lumen of the endoplasmic reticulum can potentially bind to MHC proteins; these represent an extremely small fraction of all proteasome-mediated cleavages, and the vast majority of proteasome products are thought to be rapidly degraded within seconds by cellular peptidases [8–10]. One of the arguments made to support the rapid degradation of intracellular peptides was that if these peptides were not removed, they would wreak havoc on cellular activity [8]. For example, synthetic peptides are widely used to disrupt protein function within cells [11,12], and endogenous peptides could potentially cause numerous effects if they were allowed to accumulate within cells. However, if the production and degradation of intracellular peptides was tightly controlled, these peptides could provide a mechanism for regulation of protein-protein interactions or other biochemical functions.
Peptides derived from intracellular proteins have been identified in a number of studies using mass spectrometry-based techniques [13–23]. Peptidomics studies on mouse brain identified approximately one thousand distinct peptides, with the majority derived from proteins normally present within the cytosol, mitochondria, or nucleus [16]. A recent study on rat hypothalamus detected over 16,000 unique peptides, and a large fraction were derived from intracellular proteins [23]. Peptidomics studies on human cell lines identified hundreds of peptides, nearly all of which were derived from intracellular proteins [17]. Some of the peptides detected in the human cell lines were derived from abundant proteins, but only a small subset of the most abundant proteins was reflected in the pool of detected peptides [17]. Levels of nearly all of the intracellular peptides in several different human and mouse cell lines were altered by treatment of cells with proteasome inhibitors, suggesting that these peptides are proteasome products [19–22]. The proteasome cleaves a typical protein into dozens of distinct peptides, but for most proteins only 1–2 peptide fragments were detected for each protein [17,19–22]. This is consistent with the idea that most, but not all, proteasome products are rapidly degraded by intracellular enzymes. Those peptides that are not rapidly degraded may be protected by interactions with cellular proteins, and these interactions may alter the function of the cellular proteins.
The catalytically active subunits of the proteasome, as well as most other components of the proteasome complex, are highly conserved between human and Saccharomyces cerevisiae [24,25]. This species of yeast has been very well studied in terms of mRNA levels, protein levels, protein synthesis rates, and protein degradation rates [26–33]. However, no previous study has examined the yeast peptidome. In the present study, we analyzed the peptidome of wild-type yeast. Because peptides in mammalian cell lines are affected by treatment with proteasome inhibitors, we tested whether proteasome inhibitors altered the levels of peptides in wild-type yeast as well as strains deleted for plasma membrane-bound multi-drug transporters (PDR5 and SNQ2). To further explore the role of specific proteasome forms, we examined the levels of peptides in a yeast strain lacking the proteasome activator BLM10. The results of these analyses reveal striking similarities between the yeast and human peptidome, indicating that some properties of the peptidome have been highly conserved through evolution.
Materials and Methods
Materials
All reagents were purchased from Sigma unless otherwise indicated. Yeast nitrogen base with ammonium sulfate was obtained from MP Biomedicals. Dulbecco’s Phosphate Buffered Saline (DPBS) was obtained from Invitrogen. Bortezomib and epoxomicin were purchased from LC Laboratories and Millipore, respectively. Acetonitrile was obtained from Fisher. Hydrochloric acid, trifluoroacetic acid (TFA) mass spectroscopy grade and C-18 spin columns were purchased from Pierce Thermo Scientific. Succinyl-Leu-Leu-Val-Tyr-7-amino-4-methylcoumarin (Suc-Leu-Leu-Val-Tyr-AMC) was obtained from Bachem. The isotopic labeling reagents 4-trimethylammoniumbutyryl-N-hydroxysuccinimide (TMAB-NHS) containing either 0, 3, 6, or 9 atoms of deuterium (D0-, D3-, D6-, and D9-TMAB-NHS, respectively) were synthesized as described [34]. The blm10Δ::NatMX3 strain yMS63 [35] and its isogenic wild-type BY4741 parent MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 [36,37] were obtained from Marion Schmidt (Department of Biochemistry, Albert Einstein College of Medicine). The deletion strains pdr5Δ::KanMX4 and snq2Δ::KanMX4 in BY4741 were generated in the yeast deletion project [38].
Yeast culture for peptidomic analyses
Yeast cells were grown at 30°C to early log phase (less than 1.0 OD600) in synthetic complete medium (0.67% yeast nitrogen base with ammonium sulfate and 2% glucose, supplemented with histidine, leucine, uracil and methionine). Cells were collected by centrifugation at 3,000 × g for 5 min, washed with DPBS, and recentrifuged. For some experiments, the pellet was resuspended in 80°C lysis buffer (50 mM NaH2PO4, 50 mM NaCl, and 50 mM MgCl2) at a volume of 0.4 × mass of the pellet and immediately incubated in an 80°C water bath for 20 min to inactivate proteases. Cell lysates were prepared by freezing in liquid nitrogen prior to breakage in a Retsch MM301 grinding mill according to the manufacturer’s instructions. In other experiments, the cell pellet was resuspended in 80°C water and incubated at this temperature for 20 min to inactivate proteases, cooled to room temperature, combined with glass beads and ground using a Mini-Beadbeater (BioSpec Products) for 8 cycles of 30 s each, with a 2 min incubation on ice between each cycle. There was no major difference in the peptide composition between these two cell breakage methods. The cell lysate was dissolved in water, cooled on ice for 10 min, and acidified with HCl to a final concentration of 10 mM. After 15 min incubation on ice, the suspension was centrifuged at 13,000 × g for 30 min at 4°C. The supernatant was removed, combined with 250 μL of dibasic sodium phosphate (0.4 M, pH 9.5) and stored at -80°C until labeling.
For proteasome inhibitor studies, yeast cells were grown to early log phase (less than 1.0 OD600), split into two equal volumes and treated with 1 μM or 10 μM bortezomib, 4 μM epoxomicin, or a comparable amount of DMSO (maximum 0.1%) for 1 hour. Independent duplicate cultures were grown to generate control and inhibitor-treated biological replicates, as shown in S1 Fig. The cells were collected by centrifugation at 3,000 × g for 5 min, washed with DPBS supplemented with the proteasome inhibitor at the same concentration as used for the treatment, and centrifuged again. Peptides were extracted from cell pellets as described above.
For the studies comparing the effect of the Blm10 proteasome cap on the cellular peptidome, the blm10Δ strain yMS63 and the isogenic wild-type strain BY4741 were used [36,37]. The growth conditions, harvesting, and peptide extraction were similar to that described above.
Proteasome activity assay
Wildtype, PDR5 and SNQ2 gene deletion strains were grown to early log phase and treated with proteasome inhibitors as described above. The cells were collected by centrifugation at 3,000 × g for 5 min, followed by two washes with water. The pellet was resuspended in 1 ml water, ground with glass beads using a Mini-Beadbeater (BioSpec Products), and centrifuged at 13,000 × g for 5 min at 4°C. A fraction of the supernatant was incubated in 50 mM Tris HCl buffer, pH 7.5, containing 40 mM KCl, 5 mM MgCl2, 0.5 mM ATP, 1 mM DTT with 100 μM of the proteasome substrate Suc-Leu-Leu-Val-Tyr-AMC at 37°C for 1 hour. After incubation, proteasomal activity was quantified by fluorescence measurement of the substrate (380 nm excitation, 460 nm emission).
Isotopic labeling
Quantitative peptidomics was performed using isotopic forms of trimethylammonium butyrate (TMAB) activated with N-hydroxysuccinimide (NHS), synthesized and used as described [34]. Each group within an experiment (control/treated) was labeled with a different isotopic tag, as shown in S1 Fig. The TMAB-NHS labels were dissolved in DMSO to a concentration of 400 μg/μL and 7.5 mg of label was used per sample. The pH of the peptide extract was adjusted to 9.5 with 1 M NaOH at the start of the experiment. Labeling was performed over 8 rounds; 2.3 μL of the label was added to the extract every 20 min. The pH was measured between each round and if necessary, brought back to 9.5 for the first five rounds. For rounds 6–8, the pH was not adjusted after the addition of the TMAB-NHS reagent. After the final round of labeling, the pH was adjusted to 9.5 again, extracts were incubated at room temperature for 90 min, following which 30 μL of 2.5 M glycine was added to quench unreacted label. After 40 min of incubation at room temperature, the labeled extracts for a single experiment were pooled and filtered through Amicon Ultracel-10 K units. 30 μL of a 2 M solution of hydroxylamine hydrochloride was added over three rounds to the pooled and filtered sample to hydrolyze any labeled tyrosines. The pH was measured after the addition of hydroxylamine and adjusted to 9.0 with 1 M NaOH. Samples were desalted through C-18 spin columns and peptides were eluted using 160 μL of 0.5% TFA and 70% acetonitrile. Samples were freeze-dried in a vacuum centrifuge and stored at −80°C until analysis by mass spectrometry.
Mass spectrometry
The LC-MS/MS experiments were performed on a Synapt G2 mass spectrometer coupled to a nanoAcquity capillary liquid chromatography (LC) system (Waters, Milford, MA, USA). The peptide mixture was desalted online for 3 min at a flow rate of 5 μL/min of phase A (0.1% formic acid) using a Symmetry C18 trapping column (5-μm particles, 180-μm inner diameters, 20-mm length; Waters). The mixture of trapped peptides was subsequently separated by elution with a gradient of 7–65% of phase B (0.1% formic acid in acetonitrile) through a BEH 130 C18 column (1.7-μm particles, 75-μm inner diameters, 100-mm length; Waters) in 42 min. The data were acquired in the data-dependent mode and the MS spectra of multiple-charged protonated peptides generated by electrospray ionization were acquired for 0.2 s from m/z 300–1600. The three most intense ions exceeding base peak intensity threshold of 2500 counts were automatically mass selected and dissociated in MS/MS by 15- to 60-eV collisions with argon for 0.2 s. The typical LC and electrospray ionization conditions consisted of a flow rate of 250 nL/min, a capillary voltage of 3.0 kV, a block temperature of 70°C, and a cone voltage of 50 V. The dynamic peak exclusion window was set to 90 s.
Quantification of relative peptide levels
The MS spectra were manually evaluated. The intensity of the monoisotopic peaks of peptide containing each of the isotopic labels was logged into a spreadsheet. If a peptide was found with multiple charge states, the peak intensity of each state was averaged to arrive at a single number for the relative level of each isotopically-tagged form. See S1 Fig for details on the labeling strategy and the number of replicates. Every experiment included two biological replicates of each treated and control group, as shown in S1 Fig.
MS/MS identification of peptides
Peptides were identified by MS/MS sequencing using the Mascot program (Matrix Science) followed by manual verification of the spectra using MassLynx, version 4.0 (Waters). The database searched was SwissProt_AC_20150324, limited to yeast Saccharomyces cerevisiae (7,904 sequences). No cleavage site was specified, and variable post-translational modifications selected for the searches included the TMAB labels (termed ‘GIST’ in Mascot), N-terminal protein acetylation, methionine oxidation, and cyanylation of Cys. The Mascot results were manually evaluated to exclude false positives, based on previously established criteria [34,39,40]. These criteria are listed in S1 Appendix along with representative data showing the evaluation process for a peptide with a low Mascot score. S2 Appendix shows the evaluation of another peptide which failed to meet the criteria. Supplemental files show the sequences (including cleavage sites) for the yeast peptides (S1 Table) and their precursor proteins/genes, including Mascot scores (S2 Table). The mass spectrometry data for the yeast peptidomics analyses have been deposited to the ProteomeXchange Consortium [41] via the MassIVE partner repository (MassIVE ID: MSV000080119).
The human peptidome was compiled from previous studies on human cell lines HEK293T, SH-SY5Y, and MCF-7 cell lines [17,19–21,42]. In addition, recent peptidomic data using the RPMI-8226 cell line were included; these analyses were performed using identical procedures as those used for the other cell lines [17]. Peptides detected in untreated cells were included in the compiled human peptidome database; those peptides only detected in cells treated with proteasome inhibitors or other reagents were excluded from the database. Supplemental files show the sequences (including cleavage sites) for the human peptides (S3 Table) and their precursor proteins/genes (S4 Table). The mouse peptidome was previously reported [16].
Results
Altogether, 297 unique peptides were identified from MS/MS analysis of the 5 LC/MS runs performed in this study (S1 Table). Additional peptides were detected in the MS spectra but could not be identified, either because no MS/MS data were obtained or the quality of the MS/MS spectra were not sufficient to determine the peptide sequence. The 297 identified peptides were derived from 75 distinct proteins/genes (S2 Table). Approximately one half of the identified peptides arose from 8 proteins. The average mass of the yeast peptides is 1640 Da, the median is 1523 Da, and 90% of the peptides are between 900 and 3000 Da (Fig 1). The amino acid composition of the peptides shows the most abundant amino acid is Ala (10.6%), with Lys, Val, Leu, Gly, Asp, and Glu also abundant (Table 1). Cys is not detected in the peptidome, but this omission is likely to be an artifact of the extraction and/or labeling procedure [43]. Otherwise, the amino acid composition of the peptidome is generally similar to the amino acid composition of the intracellular and nuclear yeast proteome [44].
Table 1. Amino acid composition of peptides found in human cell lines and yeast cells.
Human Peptides | Yeast Peptides | Yeast Proteins—Intracellular | Yeast Proteins—Nuclear | |||
---|---|---|---|---|---|---|
# | % | # | % | % ± SD | % ± SD | |
A | 866 | 9.1 | 471 | 10.6 | 7.9 ± 2.9 | 8.3 ± 5.0 |
C | 3 | 0.0 | 0 | 0.0 | 1.9 ± 2.4 | 1.6 ± 1.7 |
D | 645 | 6.8 | 335 | 7.5 | 5.5 ± 2.0 | 4.7 ± 2.6 |
E | 690 | 7.2 | 322 | 7.2 | 7.1 ± 3.2 | 6.5 ± 3.6 |
F | 376 | 3.9 | 135 | 3.0 | 3.9 ± 1.8 | 2.7 ± 1.7 |
G | 787 | 8.3 | 342 | 7.7 | 7.1 ± 2.6 | 6.3 ± 2.8 |
H | 137 | 1.4 | 73 | 1.6 | 2.1 ± 1.4 | 2.1 ± 1.4 |
I | 502 | 5.3 | 235 | 5.3 | 5.2 ± 2.0 | 3.7 ± 2.0 |
K | 696 | 7.3 | 392 | 8.8 | 6.7 ± 2.8 | 7.9 ± 6.5 |
L | 900 | 9.4 | 359 | 8.1 | 8.6 ± 2.4 | 7.4 ± 3.2 |
M | 164 | 1.7 | 40 | 0.9 | 2.4 ± 1.3 | 2.3 ± 1.2 |
N | 309 | 3.2 | 202 | 4.5 | 4.0 ± 1.8 | 3.7 ± 2.2 |
P | 560 | 5.9 | 225 | 5.1 | 5.3 ± 4.0 | 6.9 ± 3.4 |
Q | 395 | 4.1 | 172 | 3.9 | 4.4 ± 3.0 | 4.7 ± 2.8 |
R | 392 | 4.1 | 131 | 2.9 | 4.9 ± 2.2 | 8.7 ± 13.5 |
S | 634 | 6.7 | 304 | 6.8 | 6.6 ± 2.0 | 8.8 ± 3.2 |
T | 438 | 4.6 | 241 | 5.4 | 5.3 ± 1.7 | 5.1 ± 2.1 |
V | 813 | 8.5 | 377 | 8.5 | 6.8 ± 1.9 | 5.3 ± 1.8 |
W | 70 | 0.7 | 9 | 0.2 | 1.2 ± 0.8 | 0.7 ± 0.7 |
Y | 156 | 1.6 | 87 | 2.0 | 3.1 ± 1.5 | 2.4 ± 1.3 |
SD, standard deviation. The amino acid composition of yeast proteins is from Cedano et al [44].
To compare the yeast peptidome with the human cell line peptidome, we compiled a master list of all peptides that were identified in peptidomics studies on HEK293T, SH-SY5Y, MCF7, and RPMI-8226 cells [17,19–21,42]. These previous studies included 83 LC/MS runs. Altogether, this combined dataset contains 627 distinct peptides (S3 Table) that are derived from 153 distinct proteins/genes (S4 Table). Additional human peptides were detected by MS analysis but their identities could not be determined from the MS/MS analysis. Thus, both yeast and human datasets reflect a subset of the total number of peptides detected by MS. Although a greater number of human peptides were identified than yeast peptides, this does not necessarily mean that human cells have more peptides than yeast; many more LC/MS runs of human peptides were analyzed and the total numbers of identified peptides cannot be compared between human and yeast.
The size distribution of the identified human peptides is very similar to that of yeast peptides, with an average mass of 1675 Da and median mass of 1559 Da for the human peptides (Fig 1). As with the yeast peptides, 90% of the identified human peptides were between 900 and 3000 Da (Fig 1). The amino acid composition of the human peptides is very similar to that of the yeast peptides (Table 1). Neither the yeast nor human peptides are enriched in residues such as Pro that are resistant to the common cellular aminopeptidases (Table 1). The most common N-terminal amino acid is Ala in both the yeast (14%) and human peptidome (16%). Other common N-terminal amino acids are Leu, Ile, Ser, Val, and Gly; these residues are present on the N-terminus of approximately half of the yeast and human peptides (S1 and S3 Tables). Only 9% of the yeast peptides and 21% of the human peptides have N-terminal acetyl groups. These numbers are consistent with the finding that 15% of the yeast peptides and 26% of the human peptides represent the N-terminal fragment of the protein (discussed below) and 57% of yeast proteins and 84% of human proteins are N-terminally acetylated [45]. Thus, the presence of N-terminal acetyl groups on the yeast and human peptides is a reflection of the proteins from which the peptides are derived, and does not deviate from the expected frequency.
A previous analysis of intracellular mouse brain peptides found that close to one half of the peptides represented the N- or C-terminus of the protein [16]. In contrast, proteomic studies that digest proteins with trypsin prior to MS analysis detect mainly peptides that are internal fragments of the protein [43]. Similar to the previous report on intracellular mouse peptides, 43% of the human cell line peptides represent either the N-terminus (26%) or C-terminus (17%) of the proteins from which the peptides are derived (Fig 2). The yeast peptidome also shows an abundance of peptides derived from the N-terminus (15%) and C-terminus (14%) of the proteins (Fig 2), relative to the predicted abundance of <1% based on consideration of the average size of the peptides and proteins from which they are produced.
The method used to extract peptides from yeast avoided hot acid which causes hydrolysis of Asp-Pro bonds [46]. None of the yeast peptides detected in our analysis resulted from cleavage at Asp-Pro sites. Pro was not very common in the P1 position of the cleavage site; only one yeast peptide and two human peptides resulted from cleavage of a Pro-Xaa bond. Acidic residues (Asp, Glu) were found in the P1 position of the cleavage site of 11% of the yeast peptides and 4% of the human peptides. Basic residues (Lys, Arg) were found in the P1 position of the cleavage site of 22% of the yeast peptides and 13% of the human peptides. Hydrophobic residues (Leu, Met, Val, Ala, Phe, Tyr, and Trp) were found in the P1 position of approximately one half of the cleavage sites for both yeast and human peptides (S1 and S3 Tables).
The proteasome is known to cleave intracellular proteins into peptides, with the major active subunit (beta 5) preferring hydrophobic residues in the P1 position, and the other two active subunits (beta 1 and beta 2) cleaving at sites with acidic and basic P1 residues, respectively [25,47]. Previously, the peptides in human cell lines were found to be greatly affected by treatment of cells with proteasome inhibitors, suggesting that these peptides are proteasome products [19–21]. To test if the peptides present in yeast are produced by the proteasome, cells were incubated with bortezomib or epoxomicin for 1 hour and then processed for peptidomics. Replicates of the same strain of yeast, grown under the same conditions except for the absence of inhibitor, were similarly processed. Peptides were labeled with isotopic tags so that replicates of treated cell extracts could be directly compared to replicates of untreated cell extracts in the same LC/MS run (S1 Fig). The level of each peptide in one replicate was compared to the average intensity of the peptide in the two untreated control replicates. This analysis was performed for both of the treated samples in each LC/MS run, as well as for the two untreated control replicates; the latter provided a measure of the normal variation of the peptide between replicates. Relative levels of the peptide detected in each experiment are shown in S5 Table. To visualize all of the data, the relative level of each replicate was plotted on a rank plot; for these plots, the y-axis represents the relative level and the x-axis is the rank (Fig 3). Treatment of wild-type yeast with 1 μM bortezomib did not produce major changes in the levels of intracellular peptides (Fig 3). Subsequent analysis in which the control values were pooled for each peptide detected in three or more LC/MS runs found only one peptide to be significantly altered in the wild-type yeast treated with 1 μM bortezomib. This peptide, a fragment of the ENO2 gene product, was elevated by 1 μM bortezomib treatment (Table 2).
Table 2. Peptides found in three or more LC/MS runs of yeast cell extracts.
Control | bortez/cont in pdr5Δ yeast | bortez/cont in snq2Δ yeast | epox/cont in snq2Δ yeast | bortez/cont in WT yeast | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gene | Peptide | Avg | SEM | n | Avg | SEM | p | Avg | SEM | p | Avg | SEM | p | Avg | SEM | p |
ADH1 | STLPEIYEK | 1.00 | 0.08 | 6 | 1.95 | 0.25 | ** | 0.93 | 0.21 | NS | 1.02 | 0.22 | NS | ND | ||
APE3 | SPPVDGFVGK | 1.00 | 0.16 | 6 | 1.95 | 0.11 | * | 0.93 | 0.38 | NS | 0.85 | 0.39 | NS | ND | ||
APE3 | SEKLQDKIKVD | 1.00 | 0.07 | 6 | 1.42 | 0.21 | * | 1.28 | 0.18 | NS | 0.69 | 0.19 | NS | ND | ||
APE3 | NIIADTKHGDPDNI | 1.00 | 0.14 | 6 | 0.34 | 0.06 | * | 1.13 | 0.44 | NS | 0.94 | 0.09 | NS | ND | ||
ENO2 | AVSKVYA | 1.00 | 0.17 | 8 | 2.58 | 0.17 | ** | 2.46 | 1.11 | * | 1.27 | 0.26 | NS | 1.53 | 0.63 | NS |
ENO2 | QIGTLSESIK | 1.00 | 0.07 | 8 | 1.68 | 0.19 | ** | 0.74 | 0.13 | NS | 0.99 | 0.27 | NS | 1.18 | 0.18 | NS |
ENO2 | QIGTLSESIKA | 1.00 | 0.03 | 8 | 1.41 | 0.02 | *** | 1.90 | 0.13 | *** | 0.97 | 0.19 | NS | 1.21 | 0.21 | NS |
ENO2 | GVELADMYHS | 1.00 | 0.13 | 8 | 1.84 | 0.35 | * | 1.76 | 0.77 | NS | 1.59 | 0.01 | NS | 2.02 | 0.16 | ** |
ENO2 | TAIEKKAADAL | 1.00 | 0.05 | 8 | 1.45 | 0.09 | ** | 1.32 | 0.06 | * | 1.06 | 0.19 | NS | 1.28 | 0.16 | NS |
ENO2 | GHDGKVKIGLD | 1.00 | 0.13 | 8 | 0.93 | 0.04 | NS | 1.12 | 0.58 | NS | 0.79 | 0.01 | NS | 1.30 | 0.15 | NS |
ENO2 | ADLSKSKTSPY | 1.00 | 0.09 | 6 | 0.70 | 0.06 | NS | 1.21 | 0.56 | NS | ND | 1.20 | 0.07 | NS | ||
ENO2 | SLDGTANKSKLGA | 1.00 | 0.06 | 8 | 0.19 | 0.07 | *** | 0.20 | 0.01 | *** | 1.09 | 0.26 | NS | 1.22 | 0.15 | NS |
ENO2 | SLDGTANKSKLGAN | 1.00 | 0.08 | 8 | 1.54 | 0.22 | * | 1.25 | 0.21 | NS | 0.86 | 0.19 | NS | 1.28 | 0.28 | NS |
ENO2 | SLDGTANKSKLGANA | 1.00 | 0.08 | 8 | 0.28 | 0.01 | * | 0.24 | 0.02 | *** | 1.10 | 0.27 | NS | 0.90 | 0.19 | NS |
ENO2 | NLDVKDQKAVDDF | 1.00 | 0.09 | 6 | 0.47 | 0.01 | *** | 0.54 | 0.06 | *** | 1.00 | 0.10 | NS | ND | ||
GAS1 | DDVPAIEVVGNKF | 1.00 | 0.02 | 6 | 1.09 | 0.17 | NS | 0.80 | 0.17 | * | 1.01 | 0.01 | NS | ND | ||
PEP4 | GKFDGIL | 1.00 | 0.14 | 8 | 5.73 | 0.82 | *** | 6.70 | 1.07 | *** | 1.38 | 0.10 | NS | 1.60 | 0.23 | NS |
TDH1 | YDSTHGRYKGT | 1.00 | 0.11 | 6 | 1.10 | 0.04 | NS | 0.98 | 0.13 | NS | ND | 1.40 | 0.45 | NS | ||
TDH3 | STGVFKEL | 1.00 | 0.16 | 6 | 2.18 | 0.35 | * | 0.82 | 0.10 | NS | 1.08 | 0.07 | NS | ND | ||
TPI1 | VDIINSRN | 1.00 | 0.13 | 8 | 0.59 | 0.02 | NS | 1.80 | 0.68 | NS | 1.83 | 0.80 | NS | 1.28 | 0.27 | NS |
TPI1 | VKKPQVTVGAQ | 1.00 | 0.06 | 8 | 2.70 | 0.04 | *** | 2.06 | 0.41 | *** | 1.19 | 0.46 | NS | 1.25 | 0.23 | NS |
TPI1 | GAFTGENSVDQIK | 1.00 | 0.16 | 8 | 1.31 | 0.24 | NS | 1.56 | 0.32 | NS | 2.02 | 0.04 | * | 1.33 | 0.17 | NS |
TPI1 | GLAATPEDAQDIHA | 1.00 | 0.08 | 8 | 0.34 | 0.13 | ** | 0.53 | 0.08 | * | 1.44 | 0.07 | * | 1.14 | 0.13 | NS |
TPI1 | ASGAFTGENSVDQIK | 1.00 | 0.11 | 8 | 0.98 | 0.20 | NS | 0.91 | 0.13 | NS | 2.15 | 0.47 | ** | 1.40 | 0.01 | NS |
TPI1 | GAFTGENSVDQIKDVGAK | 1.00 | 0.08 | 6 | ND | 2.40 | 0.59 | ** | 1.23 | 0.14 | NS | 1.09 | 0.15 | NS |
Abbreviations: Avg, average; SEM, standard error of the mean; NS, not statistically significant (i.e. p>0.05); ND, not detected; and p, p-value
*, p<0.05
**, p<0.01
***, p<0.001 compared to untreated control group using Student’s t-test.
Because wild-type yeast contain transport proteins that actively pump bortezomib out of cells, we analyzed PDR5 and SNQ2 gene deletion strains; these genes encode major drug transport proteins [48]. The strains lacking the transport proteins were treated with 10 μM bortezomib for one hour, which resulted in a 30–40% reduction of chymotryptic-like proteasome activity (Fig 4). In each deletion mutant, levels of some peptides showed a dramatic change upon bortezomib treatment (Fig 3). With the pdr5Δ strain, approximately one half of the identified peptides showed a 2-fold change (i.e. ratio of <0.5 or >2). For the snq2Δ strain, approximately one third of the identified peptides showed a 2-fold change (Fig 3). Treatment of the snq2Δ strain with 4 μM epoxomicin for one hour did not produce major changes in the level of most peptides (Fig 3). Altogether, 25 peptides were found in three or more LC/MS runs; these peptides reflect only a subset of all peptides detected in each experiment (see S5 Table for relative levels of all peptides). The 25 commonly detected peptides were compared, pooling the control data for each experiment to increase the number of replicates (Table 2). Of these 25 peptides, 17 were significantly affected in the bortezomib-treated pdr5Δ strain extract, with 12 increases and 5 decreases (Table 2). Treatment of the snq2Δ strain with bortezomib resulted in 11 significant changes, with 6 increases and 5 decreases (Table 2). Only 3 of the peptides were altered with 4 μM epoxomicin, and all of these were elevated (Table 2). The finding that some peptides are reduced upon treatment with 10 μM bortezomib suggests that these peptides are products of proteasomal cleavage of cellular proteins. Previous studies on human cell lines found that bortezomib, epoxomicin, and other proteasome inhibitors reduced the levels of some peptides but also caused a large elevation in the levels of other peptides [19–21].
Blm10, the yeast ortholog of the mammalian proteasome activator PA200, associates with a subpopulation of proteasomes and functions in the ubiquitin-independent degradation of protein [36,37]. In contrast, the 19S proteasome activator functions in ubiquitin-dependent protein degradation. To evaluate the relative contribution of ubiquitin-dependent and ubiquitin-independent pathways for the generation of intracellular peptides, we analyzed the peptidome of wild-type and blm10Δ strains (S1 Fig). All peptides found in the wild-type strain were also detected in the blm10Δ strain and the relative levels were generally comparable (Fig 5). None of the identified peptides shows statistically significant differences between the two groups, indicating that the absence of Blm10 does not cause a major change in the level of intracellular peptides.
All of the analyses described above considered the peptides themselves or the cleavage sites that generate these peptides. Another level of analysis considers the proteins from which these peptides are derived. A previous study that examined peptides associated with one of the MHC proteins, HLA-B27, found both proteasome-dependent and proteasome-independent peptides; the latter were mainly derived from small proteins [49]. Of the 153 human proteins that correspond to the 627 peptides detected in human cell lines, the average protein length is 253 amino acids and the median length is 199 amino acids (Fig 6, top); this is smaller than the average human protein size of approximately 500 amino acids [49]. Similar analysis of the 75 yeast proteins that gave rise to the peptides found in the present study show an average protein length of 353 amino acids and a median length of 310 amino acids. These values are smaller than the average protein length of 478 amino acids and median length of 384 amino acids for the 5700 yeast proteins analyzed by Arava et al [27].
The finding that the peptidome of both yeast and human cells is derived from proteins that tend to be smaller than average is contrary to the expectation that large proteins should be highly represented because they can theoretically generate more peptides and be favored in peptidomic analysis. For example, tryptic peptide fragments of equimolar amounts of five proteins were analyzed using a peptidomics approach identical to that used in the present study, and there was a strong positive correlation between the protein’s size and the number of peptides detected [43]. In the present study, a small subset of proteins is responsible for the majority of yeast peptides; 8 proteins are responsible for slightly more than half of all peptides identified (S1 Table). The average length of these 8 proteins is 385 amino acids, which is well below the average length of yeast proteins.
A previous analysis of the peptidome of human cell lines [17] did not find a correlation between the peptidome and protein abundance. The limitation of this analysis is that the vast majority of proteins identified in the peptidomic analysis were not detected in the proteomic study measuring protein levels [50]. To re-examine the correlation between the peptidome and protein abundance, the human peptidome was compared to RNA-seq data for the 4 cell lines from which the peptidome data was derived: HEK293T, SH-SY5Y, MCF7, and RPMI-8226 [33]. Each of the ~20,000 genes in these datasets was ordered by abundance of mRNA, and the 153 mRNAs that correspond to the peptides identified in the peptidomic analyses were selected. Of these 153 mRNAs, 77 are within the top 500 ranking of at least one of the four cell lines used for the various peptidomic studies, and all but 4 are within the top 5000 (Fig 7). Thus, many of the intracellular peptides in human cell lines are derived from proteins encoded by abundant mRNAs.
The yeast peptidome was also analyzed for a correlation with RNA and protein abundance. RNA-seq data for yeast [30] reported values for 5100 genes, and 63 of the proteins found in the peptidomic analysis were among the transcripts with values listed; 12 were not reported in the RNA-seq data (Fig 7). The 5100 genes were divided into groups of 510 based on RNA abundance. Of the 510 genes with RNA expression in the highest tenth percentile, 44 corresponded to genes detected in the peptidomics analysis. Thirteen of the genes corresponding to peptides were in the 10-20th percentile of RNA expression levels, and the other 7 genes corresponding to peptides were scattered among the lower percentiles (Fig 7). Similar analysis was performed to compare the peptidome with protein abundance. Several studies have reported protein abundance; the most comprehensive of these is a recent study by Kulak et al that used MS with label-free quantification to estimate protein copy number for 4577 yeast genes [51]. These proteins/genes were divided into ~10 groups of 458 based on protein abundance, and 60 of the 75 proteins corresponding to yeast peptides were in the top 10th percentile (Fig 7). Seven of the peptides were in the 10-20th percentile of protein abundance, and the other 7 were distributed among the other groups (Fig 7). Similar results were found when analyses were performed for RNA or protein abundance determined from other techniques such as single molecule sequencing [31], an epitope-tagged fusion library [28], and mRNA translation profiles [27]. Taken together, these results suggest that nearly all of the peptides detected in the present study are produced from proteins that are among the top 20th percentile in terms of cellular protein abundance or predicted synthetic rate. However, there are approximately one thousand proteins in this group and only a small subset was found to be represented in the peptidome. Thus, abundance alone is not sufficient to predict if peptide fragments will be detected in peptidomic studies.
In theory, the cellular peptides should arise from proteins that have high rates of turnover. The median half-life of 3772 yeast proteins examined by Christiano is 8.8 h [32]. Out of 75 proteins found in peptidomics analysis, 73 were measured in Christiano et al, and these 73 proteins have a median of 10.6 h (Fig 8). Only 1 of the 73 proteins found in peptidomics had a half-life ≤3 h, whereas 7% of all proteins had half-lives of 3 h or less [32]. Furthermore, 8% of the proteins found in peptidomics had half-lives of ≥100 h, whereas only 1% of all proteins detected by Christiano had half-lives of ≥100 h [32]. Thus, the proteins that give rise to the observed yeast peptides are more stable than average proteins, not less stable as predicted.
Approximately 50% of the 153 human proteins identified in peptidomic studies are annotated as cytosolic, ~30% are nuclear, ~15% are mitochondrial, and ~5% from other compartments or unknown distribution (Fig 9); this is generally similar to our previous analysis performed on fewer proteins [17]. Analysis of the yeast proteins found in the present peptidomics analysis shows the majority to be derived from cytosolic proteins (Fig 9). Like the human proteins, ~15% of the yeast proteins are mitochondrial. However, only ~15% of the yeast proteins are nuclear, in contrast to the ~30% of the human proteins. A greater fraction of the yeast proteins are found in vacuoles, endoplasmic reticulum, or secretory pathway, compared to the human proteins (Fig 9).
Many of the proteins which contribute to the human and yeast peptidome are involved with basic cellular functions such as metabolism, maintenance of reduction/oxidation balance, translation/protein synthesis, chaperone/protein folding, protein/vesicle trafficking, and proteolysis (Fig 10). However, there are several categories of functions for the human proteins that are greatly under-represented in the yeast peptidome. Of the 153 human proteins found in the peptidome, 46 function in transcription or RNA/DNA binding and 16 function in cytoskeletal dynamics, whereas no yeast peptides were found from proteins with these functions (Fig 10). Only 2 yeast proteins that function in intracellular signaling and/or regulation of the cell cycle were found in the peptidome, whereas 21 human proteins found in peptidomic analyses function in this category (Fig 10). Taken together, these results suggest that while many of the proteins detected in the peptidome of humans and yeast have similar functions, there are some categories of human proteins that aren’t represented in the yeast peptidome.
To directly compare individual proteins between yeast and human, the 75 yeast proteins found in the present study were used to search for human orthologs using Blast homology searches of NCBI databases. Of these 75 proteins, 56 have a clear human ortholog, and 23 of these orthologs are found in the human and/or mouse peptidome database (Table 3). These orthologs include a number of proteins associated with ribosomes, cellular metabolic pathways, and chaperones such as 10 kDa heat shock protein. For some of these orthologs, the peptides found in the yeast peptidome arise from the same region of the protein as peptides present in the human and/or mouse peptidomes. The alignment of acyl-CoA-binding protein is shown in Fig 11, and all alignments of orthologs are included in S2 Fig. In yeast, two N-terminal fragments of acyl-Co-A-binding protein were identified, in human cells a single N-terminal fragment was identified, and in mouse tissues, a number of N-terminal peptides were identified along with a couple of internal peptides (Fig 11, underlined sequences). The overall amino acid sequence identity between yeast, mouse, and human acyl-CoA-binding protein is 37% (considering only exact matches of all three species). Within the 26 residues found in the yeast peptidome, the sequences are slightly less highly conserved, with only 31% identity. A similar comparison of all 23 orthologs in which peptides were found in yeast and at least one of the mammalian species (i.e. human and/or mouse) was performed (Table 3). The overall amino acid identity of the proteins ranged from 17% (for the SBA1 gene product) to 66% (for the SSA2 gene product), with an average of 46% (Table 3). Considering just the region corresponding to the peptides found in yeast, the amino acid sequence identity ranged from 0% (for the AHP1 gene product) to 85% (for the SSC1 gene product), with an average of 45% (Table 3). Thus, the degree of conservation of the region of each protein that was found in the yeast peptidome is comparable to the overall conservation of the proteins, and not more or less highly conserved.
Table 3. Comparison of proteins found in the yeast peptidome with orthologs in mammalian peptidome (human and mouse).
Yeast Gene | Human Gene | Yeast | Yeast Peptides | Yeast Protein | Conservation within peptide | Conservation entire protein |
---|---|---|---|---|---|---|
Name | Name | Protein Name | # of aa | # of aa | % aa identity | % aa identity |
ACB1 | DBI | Acyl-CoA-binding protein | 26 | 87 | 31% | 37% |
AHP1 | PRDX5 | Peroxiredoxin type-2 | 17 | 176 | 0% | 22% |
CDC19 | PKM | Pyruvate kinase 1 | 53 | 500 | 49% | 49% |
CMD1 | CALM1 | Calmodulin | 30 | 147 | 43% | 56% |
ENO2 | ENO2 | Enolase 2 | 239 | 437 | 58% | 61% |
GPM1 | PGAM2 | Phosphoglycerate mutase 1 | 60 | 247 | 48% | 51% |
HSP10 | HSPE1 | 10 kDa heat shock protein | 30 | 106 | 43% | 44% |
PEP4 | CTSD* | Vacuolar aspartyl protease | 34 | 405 | 53% | 36% |
RPL31A | RPL31 | 60S ribosomal protein L31A | 16 | 113 | 50% | 59% |
RPP1A | RPLP1 | 60S acidic ribosomal protein P1α | 13 | 106 | 46% | 51% |
RPP2A | RPLP2 | Ribosomal protein P2 alpha | 9 | 106 | 56% | 51% |
RPP2B | RPLP2 | Ribosomal protein P2 beta | 30 | 110 | 43% | 46% |
RPS21A | RPS21 | 40S ribosomal protein S21A | 41 | 87 | 56% | 51% |
SBA1 | PTGES3 | Co-chaperone protein SBA1 | 24 | 216 | 13% | 17% |
SMT3 | SUMO2 | Ubiquitin-like protein SMT3 | 25 | 101 | 44% | 38% |
SOD1 | SOD1 | Superoxide dismutase [Cu-Zn] | 55 | 154 | 49% | 51% |
SSA2 | HSPA8* | ATP binding protein | 11 | 639 | 55% | 66% |
SSC1 | HSPA9 | Heat shock protein SSC1 | 13 | 654 | 85% | 63% |
STI1 | STIP1 | Heat shock protein STI1 | 25 | 589 | 8% | 36% |
TPI1 | TPI1 | Triose phosphate isomerase | 67 | 248 | 55% | 52% |
TRX2 | TXN | Thioredoxin-2 | 21 | 104 | 19% | 38% |
TSA1 | PRDX1 | Peroxiredoxin TSA1 | 46 | 196 | 59% | 59% |
VMA10 | ATP6V1G1* | V-type proton ATPase subunit G | 22 | 114 | 64% | 32% |
Abbreviation: aa, amino acid.
*Additional orthologs are present in the human genome.
Discussion
The major finding of this study is that yeast cells contain peptides derived from intracellular proteins. While it is possible that some of the peptides detected in the present study and in previous studies on mammalian cell lines represent degradative products generated during protein extraction, we believe this is unlikely for several reasons. First, only a subset of proteins is represented in the peptidome, and for most proteins only a small number of peptides are detected. In contrast, non-specific degradation (such as trypsin-mediated digestion of proteins) typically produces a large number of distinct fragments from the major cellular proteins. Second, the cells (yeast in this study and mammalian cells in previous studies) were rapidly heated to 80°C, and no yeast or human proteases are known to be stable to this temperature. A number of studies have compared various methods of sample preparation for peptidomics and concluded that rapid heat inactivation is a valid method to greatly reduce postmortem protein degradation in tissues [18,23,46,52–55]. Third, the finding that the vast majority of intracellular peptides detected in mammalian cell lines are greatly reduced by short-term treatment of cells with proteasome inhibitors such as epoxomicin and MG132 strongly suggests that these are naturally occurring products of proteasome activity, and not artifactually-generated peptides [19,21]. Finally, the finding that the yeast peptidome is remarkably similar to the peptidome of human and mouse cells suggests that the generation and/or stability of the intracellular peptides is conserved. Approximately one third of the yeast proteins that give rise to peptides detected in the present study have human/mouse orthologs that give rise to peptides found in previous studies on human and mouse cell lines and mouse tissues. In some cases, the yeast and mammalian peptides arise from the same general region of the proteins, but these regions do not appear to be more highly conserved than the parts of the protein that were not found in the peptidome. This contrasts with proteins encoding neuropeptide precursors, in which the regions corresponding to the bioactive peptides are more highly conserved than the other regions of the proteins [56]. The proteasome is known to cleave proteins into peptides, although the dogma in the field is that these peptides are rapidly degraded by intracellular aminopeptidases [57]. However, there is no direct evidence to support this dogma, and studies on the stability of peptides within cells have found that a subset appear to be more stable than others [9,10]. Because proteasome inhibitors such as epoxomicin alter the levels of nearly all of the peptides identified in human cells, it is likely that these peptides are proteasome products. The small number of yeast peptides that were significantly affected by treatment with proteasome inhibitors is consistent with the modest proteasome inhibition (30–40%) achieved in the present study. Studies of HEK293T cells with 50 nM bortezomib for 1 hour caused a ~70% inhibition of proteasome activity and altered the level of most peptides, whereas a ten-fold lower dose of bortezomib resulted in 15% inhibition and produced few changes in peptide levels [20,21]. Despite using μM concentrations of inhibitors and yeast strains that lack several of the major drug efflux pumps, only modest inhibition of proteasome activity was achieved, likely due to the efficiency of the remaining drug efflux pumps in the organism. Interestingly, the paradoxical increase in levels of some peptides upon treatment of human cells with bortezomib [20] was also observed in yeast (Fig 3, Table 2). Several mechanisms have been proposed for this effect, including bortezomib-mediated inhibition of downstream peptidases or changes in the proteasome structure [20,22]. The finding that yeast peptides are also elevated by treatment with bortezomib suggests that the mechanism for this paradoxical effect is common to yeast and human cells.
The vast majority of yeast peptides arise from proteins that are among the top 20th percentile in terms of abundance (Fig 7), based on a variety of large-scale approaches to measure levels of protein, RNA, transcription, or translation [27,28,30–32,51]. A similar comparison of the human cell line peptidome with RNA-seq data for those cell lines [33] also shows a strong correlation of peptides with mRNA abundance (Fig 7). Although peptides in both yeast and human cells are largely derived from abundant proteins and/or mRNAs, abundance alone is not sufficient to predict whether peptides will be detected; only a small subset of the most abundant proteins were detected in the peptidome. Furthermore, most proteins were represented by only one or two peptides, with N- and C-terminal fragments highly represented in both the yeast and human cell line peptidomes. In theory, <1% of peptides should be derived from the N- or C-termini of a protein, based on an average protein length of 300–400 amino acids and average peptide length of 15 amino acids. Proteomic studies that digest proteins with trypsin typically detect mostly internal peptides and only a small fraction of N- or C-terminal peptides, which indicates that mass spectrometry does not favor N- or C-terminal fragments [43]. One possibility to account for the high fraction of N- and C-terminal peptides is that they are selectively produced within the cell. Another possibility is that N- and C-terminal peptides may be more stable than other fragments. However, the amino acid composition of the peptides detected in our analysis is comparable to the amino acid composition of intracellular and nuclear yeast proteins, and is not enriched for amino acids that are resistant to proteases. Alternatively, the peptides could be protected from proteases by binding to intracellular proteins. This latter idea is consistent with the proposal that intracellular peptides may have specific functions within cells that involve binding to other proteins [15,16].
In higher eukaryotes, endogenous intracellular peptides have been shown to regulate signal transduction [58,59], intracellular calcium levels [59], and glucose uptake [60]. These studies treated cells with synthetic peptides which corresponded to peptides identified in peptidomics analyses of cells or tissues. A study in C. elegans found evidence that peptides produced by proteolysis of mitochondrial proteins were released into the cytosol where they interacted with transcription factors to regulate the mitochondrial unfolded protein response [61]. Endogenous peptides encoded by mRNAs with short open reading frames were shown to affect transcription in Drosophila [62]. These peptides induce proteasome-mediated processing of a transcription repressor into a shorter activator [63]. Many additional studies have used synthetic peptides to perturb protein folding or protein-protein interactions; for review see [11,12,64–66]. Thus, peptides can clearly have a number of activities within cells.
The proteasome is commonly known to function in the degradation of unneeded or damaged proteins. However, it is equally valid to consider the eukaryotic proteasome as a producer of intracellular peptides. The catalytic core of the eukaryotic proteasome is structurally related to the archaebacterial proteasome, which contains seven identical catalytically active subunits [25]. Evolution added complexity to the comparatively simple prokaryotic proteasome—in eukaryotes there are seven distinct beta subunits, only three of which are catalytically active. This feature is conserved from yeast to humans, suggesting that the proteasome may have evolved from a purely degradative function in prokaryotes to a peptide-generating function in eukaryotes. In mammals, a small fraction of the peptides produced by the proteasome are displayed on cells in complex with MHC proteins and play a central role in the recognition of foreign molecules. However, this function is only needed in higher eukaryotes with a functional immune system (i.e. jawed vertebrates) [6]. The finding of the present study that peptides are present in yeast, and that some of the peptides arise from orthologs of proteins found to produce intracellular peptides in human cells, supports the idea that the production of intracellular peptides is an important biological process.
Supporting Information
Acknowledgments
Mass spectrometry data are available via ProteomeXchange with identifier MSV000080119. Marion Schmidt is gratefully acknowledged for helpful discussions and for providing yeast strains used for some of the analysis.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This work was supported by United States National Institutes of Health (http://www.nih.gov/) R01-DA004494 (LDF); Brazilian National Research Council (http://cnpq.br/web/guest/pagina-inicial) grants 400944/2014-6 and 445363/2014-2 and research fellowship 303135/2011-5 (ESF); Brazilian National Research Council (http://cnpq.br/web/guest/pagina-inicial) grant 449390/2014-4 (LMC); and Financiadora de Estudos e Projetos and Fundação de Amparo à Pesquisa do Estado de São Paulo (http://www.fapesp.br/) grant 2012/19321-9 (AKT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Fricker LD. Neuropeptides and other bioactive peptides Fricker LD, Devi L, editors. Charleston, S.C.: Morgan & Claypool Life Sciences. 107 p; year. [Google Scholar]
- 2.Strand FL. Neuropeptides: general characteristics and neuropharmaceutical potential in treating CNS disorders. ProgDrug Res. 2003;61: 1–37. 10.1007/978-3-0348-8049-7_1 [DOI] [PubMed] [Google Scholar]
- 3.Fuller RS, Sterne RE, Thorner J. Enzymes required for yeast prohormone processing. AnnRevPhysiol. 1988;50: 345–362. 10.1146/annurev.ph.50.030188.002021 [DOI] [PubMed] [Google Scholar]
- 4.Michaelis S, Barrowman J. Biogenesis of the Saccharomyces cerevisiae pheromone a-factor, from yeast mating to human disease. Microbiol Mol Biol Rev. 2012;76: 626–651. 10.1128/MMBR.00010-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Falk K, Rotzschke O, Rammensee HG. Cellular peptide composition governed by major histocompatibility complex class I molecules. Nature. 1990;348: 248–251. 10.1038/348248a0 [DOI] [PubMed] [Google Scholar]
- 6.Eason DD, Cannon JP, Haire RN, Rast JP, Ostrov DA, Litman GW. Mechanisms of antigen receptor evolution. Semin Immunol. 2004;16: 215–226. 10.1016/j.smim.2004.08.001 [DOI] [PubMed] [Google Scholar]
- 7.Lev A, Princiotta MF, Zanker D, Takeda K, Gibbs JS, Kumagai C, et al. Compartmentalized MHC class I antigen processing enhances immunosurveillance by circumventing the law of mass action. ProcNatlAcadSciUSA. 2010;107: 6964–6969. 10.1073/pnas.0910997107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Saric T, Graef CI, Goldberg AL. Pathway for degradation of peptides generated by proteasomes: a key role for thimet oligopeptidase and other metallopeptidases. JBiolChem. 2004;279: 46723–46732. 10.1074/jbc.M406537200 [DOI] [PubMed] [Google Scholar]
- 9.Reits E, Griekspoor A, Neijssen J, Groothuis T, Jalink K, van Veelen P, et al. Peptide diffusion, protection, and degradation in nuclear and cytoplasmic compartments before antigen presentation by MHC class I. Immunity. 2003;18: 97–108. 10.1016/s1074-7613(02)00511-3 [DOI] [PubMed] [Google Scholar]
- 10.Reits E, Neijssen J, Herberts C, Benckhuijsen W, Janssen L, Drijfhout JW, et al. A major role for TPPII in trimming proteasomal degradation products for MHC class I antigen presentation. Immunity. 2004;20: 495–506. 10.1016/s1074-7613(04)00074-3 [DOI] [PubMed] [Google Scholar]
- 11.London N, Raveh B, Schueler-Furman O. Peptide docking and structure-based characterization of peptide binding: from knowledge to know-how. Curr Opin Struct Biol. 2013;23: 894–902. 10.1016/j.sbi.2013.07.006 [DOI] [PubMed] [Google Scholar]
- 12.Swanson CJ, Sivaramakrishnan S. Harnessing the unique structural properties of isolated alpha-helices. J Biol Chem. 2014;289: 25460–25467. 10.1074/jbc.R114.583906 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Che FY, Yan L, Li H, Mzhavia N, Devi L, Fricker LD. Identification of peptides from brain and pituitary of Cpe fat /Cpe fat mice ProcNatlAcadSciUSA. 2001;98: 9971–9976. 10.1073/pnas.161542198 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Rioli V, Gozzo FC, Heimann AS, Linardi A, Krieger JE, Shida CS, et al. Novel natural peptide substrates for endopeptidase 24.15, neurolysin, and angiotensin-converting enzyme. JBiolChem. 2003;278: 8547–8555. 10.1074/jbc.M212030200 [DOI] [PubMed] [Google Scholar]
- 15.Ferro ES, Hyslop S, Camargo AC. Intracellullar peptides as putative natural regulators of protein interactions. JNeurochem. 2004;91: 769–777. 10.1111/j.1471-4159.2004.02757.x [DOI] [PubMed] [Google Scholar]
- 16.Fricker LD. Analysis of mouse brain peptides using mass spectrometry-based peptidomics: implications for novel functions ranging from non-classical neuropeptides to microproteins. MolBiosyst. 2010;6: 1355–1365. 10.1039/c003317k [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Gelman JS, Sironi J, Castro LM, Ferro ES, Fricker LD. Peptidomic analysis of human cell lines. JProteomeRes. 2011;10: 1583–1592. 10.1021/pr100952f [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Van Dijck A, Hayakawa E, Landuyt B, Baggerman G, Van Dam D, Luyten W, et al. Comparison of extraction methods for peptidomics analysis of mouse brain tissue. J Neurosci Methods. 2011;197: 231–237. 10.1016/j.jneumeth.2011.02.023 [DOI] [PubMed] [Google Scholar]
- 19.Fricker LD, Gelman JS, Castro LM, Gozzo FC, Ferro ES. Peptidomic analysis of HEK293T cells: effect of the proteasome inhibitor epoxomicin on intracellular peptides. J Proteome Res. 2012;11: 1981–1990. 10.1021/pr2012076 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Gelman JS, Sironi J, Berezniuk I, Dasgupta S, Castro LM, Gozzo FC, et al. Alterations of the intracellular peptidome in response to the proteasome inhibitor bortezomib. PLoS One. 2013;8: e53263 10.1371/journal.pone.0053263 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Dasgupta S, Castro LM, Dulman R, Yang C, Schmidt M, Ferro ES, et al. Proteasome inhibitors alter levels of intracellular peptides in HEK293T and SH-SY5Y cells. PLoS One. 2014;9: e103604 10.1371/journal.pone.0103604 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Dasgupta S, Fishman MA, Mahallati H, Castro LM, Tashima AK, Ferro ES, et al. Reduced Levels of Proteasome Products in a Mouse Striatal Cell Model of Huntington's Disease. PLoS One. 2015;10: e0145333 10.1371/journal.pone.0145333 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Secher A, Kelstrup CD, Conde-Frieboes KW, Pyke C, Raun K, Wulff BS, et al. Analytic framework for peptidomics applied to large-scale neuropeptide identification. Nat Commun. 2016;7: 11436 10.1038/ncomms11436 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Fischer M, Hilt W, Richter-Ruoff B, Gonen H, Ciechanover A, Wolf DH. The 26S proteasome of the yeast Saccharomyces cerevisiae. FEBS Lett. 1994;355: 69–75. 10.1016/0014-5793(94)01177-x [DOI] [PubMed] [Google Scholar]
- 25.Bochtler M, Ditzel L, Groll M, Hartmann C, Huber R. The proteasome. Annu Rev Biophys Biomol Struct. 1999;28: 295–317. [DOI] [PubMed] [Google Scholar]
- 26.Washburn MP, Wolters D, Yates JR 3rd. Large-scale analysis of the yeast proteome by multidimensional protein identification technology. Nat Biotechnol. 2001;19: 242–247. 10.1038/85686 [DOI] [PubMed] [Google Scholar]
- 27.Arava Y, Wang Y, Storey JD, Liu CL, Brown PO, Herschlag D. Genome-wide analysis of mRNA translation profiles in Saccharomyces cerevisiae. Proc Natl Acad Sci U S A. 2003;100: 3889–3894. 10.1073/pnas.0635171100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ghaemmaghami S, Huh WK, Bower K, Howson RW, Belle A, Dephoure N, et al. Global analysis of protein expression in yeast. Nature. 2003;425: 737–741. [DOI] [PubMed] [Google Scholar]
- 29.Belle A, Tanay A, Bitincka L, Shamir R, O'Shea EK. Quantification of protein half-lives in the budding yeast proteome. Proc Natl Acad Sci U S A. 2006;103: 13004–13009. 10.1073/pnas.0605420103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Nagalakshmi U, Wang Z, Waern K, Shou C, Raha D, Gerstein M, et al. The transcriptional landscape of the yeast genome defined by RNA sequencing. Science. 2008;320: 1344–1349. 10.1126/science.1158441 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lipson D, Raz T, Kieu A, Jones DR, Giladi E, Thayer E, et al. Quantification of the yeast transcriptome by single-molecule sequencing. Nat Biotechnol. 2009;27: 652–658. 10.1038/nbt.1551 [DOI] [PubMed] [Google Scholar]
- 32.Christiano R, Nagaraj N, Frohlich F, Walther TC. Global proteome turnover analyses of the Yeasts S. cerevisiae and S. pombe. Cell Rep. 2014;9: 1959–1965. 10.1016/j.celrep.2014.10.065 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Klijn C, Durinck S, Stawiski EW, Haverty PM, Jiang Z, Liu H, et al. A comprehensive transcriptional portrait of human cancer cell lines. Nat Biotechnol. 2015;33: 306–312. 10.1038/nbt.3080 [DOI] [PubMed] [Google Scholar]
- 34.Morano C, Zhang X, Fricker LD. Multiple isotopic labels for quantitative mass spectrometry. AnalChem. 2008;80: 9298–9309. 10.1021/ac801654h [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Tar K, Dange T, Yang C, Yao Y, Bulteau AL, Salcedo EF, et al. Proteasomes associated with the Blm10 activator protein antagonize mitochondrial fission through degradation of the fission protein Dnm1. J Biol Chem. 2014;289: 12145–12156. 10.1074/jbc.M114.554105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Schmidt M, Haas W, Crosas B, Santamaria PG, Gygi SP, Walz T, et al. The HEAT repeat protein Blm10 regulates the yeast proteasome by capping the core particle. Nat Struct Mol Biol. 2005;12: 294–303. 10.1038/nsmb914 [DOI] [PubMed] [Google Scholar]
- 37.Febres DE, Pramanik A, Caton M, Doherty K, McKoy J, Garcia E, et al. The novel BLM3 gene encodes a protein that protects against lethal effects of oxidative damage. Cell Mol Biol (Noisy-le-grand). 2001;47: 1149–1162. [PubMed] [Google Scholar]
- 38.Winzeler EA, Shoemaker DD, Astromoff A, Liang H, Anderson K, Andre B, et al. Functional characterization of the S. cerevisiae genome by gene deletion and parallel analysis. Science. 1999;285: 901–906. 10.1126/science.285.5429.901 [DOI] [PubMed] [Google Scholar]
- 39.Gelman JS, Wardman J.H., Bhat V.B., Gozzo F.C., Fricker L.D. Quantitative peptidomics to measure neuropeptide levels in animal models relevant to psychiatric disorders. Methods MolBiol. 2012;829: 487–503. 10.1007/978-1-61779-458-2_31 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wardman J, Fricker LD. Quantitative peptidomics of mice lacking Peptide-processing enzymes. Methods MolBiol. 2011;768: 307–323. 10.1007/978-1-61779-204-5_17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Vizcaino JA, Deutsch EW, Wang R, Csordas A, Reisinger F, Rios D, et al. ProteomeXchange provides globally coordinated proteomics data submission and dissemination. Nat Biotechnol. 2014;32: 223–226. 10.1038/nbt.2839 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Berti DA, Morano C, Russo LC, Castro LM, Cunha FM, Zhang X, et al. Analysis of intracellular substrates and products of thimet oligopeptidase (EC 3.4.24.15) in human embryonic kidney 293 cells. JBiolChem. 2009;284: 14105–14116. 10.1074/jbc.M807916200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Fricker LD. Limitations of Mass Spectrometry-Based Peptidomic Approaches. J Am Soc Mass Spectrom. 2015;26: 1981–1991. 10.1007/s13361-015-1231-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Cedano J, Aloy P, Perez-Pons JA, Querol E. Relation between amino acid composition and cellular location of proteins. J Mol Biol. 1997;266: 594–600. 10.1006/jmbi.1996.0804 [DOI] [PubMed] [Google Scholar]
- 45.Arnesen T, Van Damme P, Polevoda B, Helsens K, Evjenth R, Colaert N, et al. Proteomics analyses reveal the evolutionary conservation and divergence of N-terminal acetyltransferases from yeast and humans. Proc Natl Acad Sci U S A. 2009;106: 8157–8162. 10.1073/pnas.0901931106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Che FY, Zhang X, Berezniuk I, Callaway M, Lim J, Fricker LD. Optimization of neuropeptide extraction from the mouse hypothalamus. JProteomeRes. 2007;6: 4667–4676. 10.1021/pr060690r [DOI] [PubMed] [Google Scholar]
- 47.Goldberg AL. Protein degradation and protection against misfolded or damaged proteins. Nature. 2003;426: 895–899. 10.1038/nature02263 [DOI] [PubMed] [Google Scholar]
- 48.Fleming JA, Lightcap ES, Sadis S, Thoroddsen V, Bulawa CE, Blackman RK. Complementary whole-genome technologies reveal the cellular response to proteasome inhibition by PS-341. Proc Natl Acad Sci U S A. 2002;99: 1461–1466. 10.1073/pnas.032516399 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Marcilla M, Cragnolini JJ, de Castro JAL. Proteasome-independent HLA-B27 Ligands arise mainly from small basic proteins. Molecular & Cellular Proteomics. 2007;6: 923–938. 10.1074/mcp.M600302-MCP200 [DOI] [PubMed] [Google Scholar]
- 50.Schirle M, Heurtier MA, Kuster B. Profiling core proteomes of human cell lines by one-dimensional PAGE and liquid chromatography-tandem mass spectrometry. MolCell Proteomics. 2003;2: 1297–1305. 10.1074/mcp.M300087-MCP200 [DOI] [PubMed] [Google Scholar]
- 51.Kulak NA, Pichler G, Paron I, Nagaraj N, Mann M. Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells. Nat Methods. 2014;11: 319–324. 10.1038/nmeth.2834 [DOI] [PubMed] [Google Scholar]
- 52.Svensson M, Skold K, Svenningsson P, Andren PE. Peptidomics-based discovery of novel neuropeptides. JProteomeRes. 2003;2: 213–219. 10.1021/pr020010u [DOI] [PubMed] [Google Scholar]
- 53.Che FY, Lim J, Biswas R, Pan H, Fricker LD. Quantitative neuropeptidomics of microwave-irradiated mouse brain and pituitary. MolCellProteomics. 2005;4: 1391–1405. 10.1074/mcp.T500010-MCP200 [DOI] [PubMed] [Google Scholar]
- 54.Skold K, Svensson M, Norrman M, Sjogren B, Svenningsson P, Andren PE. The significance of biochemical and molecular sample integrity in brain proteomics and peptidomics: stathmin 2–20 and peptides as sample quality indicators. Proteomics. 2007;7: 4445–4456. 10.1002/pmic.200700142 [DOI] [PubMed] [Google Scholar]
- 55.Scholz B, Skold K, Kultima K, Fernandez C, Waldemarson S, Savitski MM, et al. Impact of temperature dependent sampling procedures in proteomics and peptidomics—a characterization of the liver and pancreas post mortem degradome. Mol Cell Proteomics. 2011;10: M900229MCP900200. 10.1074/mcp.M900229-MCP200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Rossier J. Biosynthesis of enkephalins and proenkephalin-derived peptides In: Herz A, editor. Opioids. Berlin: Springer-Verlag; 1993. pp. 423–447. [Google Scholar]
- 57.Saric T, Beninga J, Graef CI, Akopian TN, Rock KL, Goldberg AL. Major histocompatibility complex class I-presented antigenic peptides are degraded in cytosolic extracts primarily by thimet oligopeptidase. JBiolChem. 2001;276: 36474–36481. 10.1074/jbc.M105517200 [DOI] [PubMed] [Google Scholar]
- 58.Cunha FM, Berti DA, Ferreira ZS, Klitzke CF, Markus RP, Ferro ES. Intracellular peptides as natural regulators of cell signaling. JBiolChem. 2008;283: 24448–24459. 10.1074/jbc.M801252200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Russo LC, Asega AF, Castro LM, Negraes PD, Cruz L, Gozzo FC, et al. Natural intracellular peptides can modulate the interactions of mouse brain proteins and thimet oligopeptidase with 14-3-3 epsilon and calmodulin. Proteomics. 2012;12: 2641–2655. 10.1002/pmic.201200032 [DOI] [PubMed] [Google Scholar]
- 60.Berti DA, Russo LC, Castro LM, Cruz L, Gozzo FC, Heimann JC, et al. Identification of intracellular peptides in rat adipose tissue: insights into insulin resistance. Proteomics. 2012;12: 2668–2681. 10.1002/pmic.201200051 [DOI] [PubMed] [Google Scholar]
- 61.Haynes CM, Yang Y, Blais SP, Neubert TA, Ron D. The matrix peptide exporter HAF-1 signals a mitochondrial UPR by activating the transcription factor ZC376.7 in C. elegans. MolCell. 2010;37: 529–540. 10.1016/j.molcel.2010.01.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Kondo T, Plaza S, Zanet J, Benrabah E, Valenti P, Hashimoto Y, et al. Small peptides switch the transcriptional activity of Shavenbaby during Drosophila embryogenesis. Science. 2010;329: 336–339. 10.1126/science.1188158 [DOI] [PubMed] [Google Scholar]
- 63.Zanet J, Benrabah E, Li T, Pelissier-Monier A, Chanut-Delalande H, Ronsin B, et al. Pri sORF peptides induce selective proteasome-mediated protein processing. Science. 2015;349: 1356–1358. 10.1126/science.aac5677 [DOI] [PubMed] [Google Scholar]
- 64.Churchill EN, Qvit N, Mochly-Rosen D. Rationally designed peptide regulators of protein kinase C. Trends EndocrinolMetab. 2009;20: 25–33. 10.1016/j.tem.2008.10.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Rubinstein M, Niv MY. Peptidic modulators of protein-protein interactions: progress and challenges in computational design. Biopolymers. 2009;91: 505–513. 10.1002/bip.21164 [DOI] [PubMed] [Google Scholar]
- 66.Arkin MR, Whitty A. The road less traveled: modulating signal transduction enzymes by inhibiting their protein-protein interactions. CurrOpinChemBiol. 2009;13: 284–290. 10.1016/j.cbpa.2009.05.125 [DOI] [PubMed] [Google Scholar]
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