T-cell epitope prediction with combinatorial peptide libraries.

T cell receptors (TCR) recognize antigenic peptides in complex with the major histocompatibility complex (MHC) molecules and this trimolecular interaction initiates antigen-specific signaling pathways in the responding T lymphocytes. For the study of autoimmune diseases and vaccine development, it is important to identify peptides (epitopes) that can stimulate a given TCR. The use of combinatorial peptide libraries has recently been introduced as a powerful tool for this purpose. A combinatorial library of n-mer peptides is a set of complex mixtures each characterized by one position fixed to be a specified amino acid and all other positions randomized. A given TCR can be fingerprinted by screening a variety of combinatorial libraries using a proliferation assay. Here, we present statistical models for elucidating the recognition profile of a TCR using combinatorial library proliferation assay data and known MHC binding data.     

One-bead, one-compound peptide library sequencing via high-pressure ammonia cleavage coupled to nanomanipulation/nanoelectrospray ionization mass spectrometry

Biological screening of one-bead, one-compound (OBOC) combinatorial peptide libraries is routinely carried out with the peptide remaining bound to the resin bead during screening. After a hit is identified, the bead is isolated, the peptide is cleaved from the bead, and its sequence is determined. We have developed a new technique for cleavage of peptides from resin beads whereby exposure of a 4-hydroxymethyl benzoic acid (HMBA)-linked peptide to high-pressure ammonia gas led to efficient cleavage in as little as 5 min. Here we also report a new method of extracting peptide from individual library beads for its introduction into a mass spectrometer that uses nanomanipulation combined with nanoelectrospray ionization mass spectrometry (NSI MS). Single beads analyzed by nanomanipulation/NSI MS were found to give identical MS results to those of bulk samples. Detection of 18 unique cleaved peptides 1 to 8 amino acids in length, and sequencing of 14 different peptide sequences 4 to 8 amino acids in length, was demonstrated on a combination of bulk samples and ones from individual beads of an OBOC library. The method was highly reproducible, with 100% of attempts to extract peptide resulting in high-quality MS data. This new collection of techniques allows rapid, reliable, environmentally responsible sequencing of hit beads from combinatorial peptide libraries.     

Functional screening of a retroviral peptide library for MHC class I presentation

We have used retroviral vector technology to develop a method for functional screening of combinatorial peptide libraries expressed inside mammalian cells with the ultimate goal of identifying new drug targets. The method was validated in a library screening experiment based on antigen presentation of small peptides. A library encoding SIXNXEKX-peptides, where X designates randomised positions corresponding to major histocompatibility (MHC) class I anchor residues, was generated in a retroviral vector. The library was transduced into a population of antigen presenting cells (APCs) known to mediate MHC class I restricted presentation of the SIINFEKL peptide. The cellular library was screened by using an antigen presentation assay in which a T cell hybridoma recognising the MHC class I/SIINFEKL peptide complex was employed. Using this experimental model, we identified two positive cellular clones both encoding SIINFEKL peptides with identical codon usage. This number corresponded well to the expected frequency of SIINFEKL in the library. The lack of identification of other peptides capable of activating the T-hybridoma supports previous findings of a high degree of specificity at the level of peptide-loading of MHC-molecules. The result further demonstrates the potential of using combinatorial libraries for functional screening and selection of effector peptides stably expressed in mammalian cells.     

Quantitative assessment of peptide sequence diversity in M13 combinatorial peptide phage display libraries

Novel statistical methods have been developed and used to quantitate and annotate the sequence diversity within combinatorial peptide libraries on the basis of small numbers (1-200) of sequences selected at random from commercially available M13 p3-based phage display libraries. These libraries behave statistically as though they correspond to populations containing roughly 4.0+/-1.6% of the random dodecapeptides and 7.9+/-2.6% of the random constrained heptapeptides that are theoretically possible within the phage populations. Analysis of amino acid residue occurrence patterns shows no demonstrable influence on sequence censorship by Escherichia coli tRNA isoacceptor profiles or either overall codon or Class II codon usage patterns, suggesting no metabolic constraints on recombinant p3 synthesis. There is an overall depression in the occurrence of cysteine, arginine and glycine residues and an overabundance of proline, threonine and histidine residues. The majority of position-dependent amino acid sequence bias is clustered at three positions within the inserted peptides of the dodecapeptide library, +1, +3 and +12 downstream from the signal peptidase cleavage site. Conformational tendency measures of the peptides indicate a significant preference for inserts favoring a beta-turn conformation. The observed protein sequence limitations can primarily be attributed to genetic codon degeneracy and signal peptidase cleavage preferences. These data suggest that for applications in which maximal sequence diversity is essential, such as epitope mapping or novel receptor identification, combinatorial peptide libraries should be constructed using codon-corrected trinucleotide cassettes within vector-host systems designed to minimize morphogenesis-related censorship.     

A simple protocol for combinatorial cyclic depsipeptide libraries sequencing by matrix‐assisted laser desorption/ionisation mass spectrometry

Short cyclic peptides have a great interest in therapeutic, diagnostic and affinity chromatography applications. The screening of ‘one‐bead‐one‐peptide’ combinatorial libraries combined with mass spectrometry (MS) is an excellent tool to find peptides with affinity for any target protein. The fragmentation patterns of cyclic peptides are quite more complex than those of their linear counterparts, and the elucidation of the resulting tandem mass spectra is rather more difficult. Here, we propose a simple protocol for combinatorial cyclic libraries synthesis and ring opening before MS analysis. In this strategy, 4‐hydroxymethylbenzoic acid, which forms a benzyl ester with the first amino acid, was used as the linker. A glycolamidic ester group was incorporated after the combinatorial positions by adding glycolic acid. The library synthesis protocol consisted in the following: (i) incorporation of Fmoc‐Asp[2‐phenylisopropyl (OPp)]‐OH to Ala‐Gly‐oxymethylbenzamide‐ChemMatrix, (ii) synthesis of the combinatorial library, (iii) assembly of a glycolic acid, (iv) couple of an Ala residue in the N‐terminal, (v) removal of OPp, (vi) peptide cyclisation through side chain Asp and N‐Ala amino terminus and (vii) removal of side chain protecting groups. In order to simultaneously open the ring and release each peptide, benzyl and glycolamidic esters were cleaved with ammonia. Peptide sequences could be deduced from the tandem mass spectra of each single bead evaluated. The strategy herein proposed is suitable for the preparation of one‐bead‐one‐cyclic depsipeptide libraries that can be easily open for its sequencing by matrix‐assisted laser desorption/ionisation MS. It employs techniques and reagents frequently used in a broad range of laboratories without special expertise in organic synthesis. Copyright © 2014 European Peptide Society and John Wiley & Sons, Ltd.     

Composition variation of papain-catalyzed esterification of a fibroin peptide mixture

Composition variation of a complex peptide mixture under enzymatic transformation can be tracked by mass spectrometry (MS). In this report, papain-catalyzed esterification of fibroin peptides was investigated at the individual peptide level using liquid chromatography-mass spectrometry with selected ion monitoring. Optimal conditions for maximizing ester formation were obtained using a water-to-pentanol ratio of 1:9 at pH 2.8 and 40°C; however, the optimum conditions varied for individual peptides. The optimum pH levels were 2.5 and 2.8 for the tetrapeptides with a tyrosine or a valine residue and those with alanine or serine residues, respectively. The optimum pH shifted to 3.4 for dipeptide esters with a tyrosine residue. Tetrapeptides had a relatively higher rate of esterification above 50°C. Alhough, the profiles of peptides and their esters in the esterification reaction were significantly affected by the reaction conditions, alanyl-glycine ester represented the largest fraction in the mixture under most reaction conditions. As demonstrated here, MS analysis of peptide mixtures can be used to elucidate specific reaction conditions for the enrichment of particular peptide products.     

Synthesis of novel unnatural amino acid as a building block and its incorporation into an antimicrobial peptide

Considering the biological mechanism and in vivo stability of antimicrobial peptides, we designed and synthesized novel unnatural amino acids with more positively charged and bulky side chain group than lysine residue. The unusual amino acids, which were synthesized by either solution phase or solid phase, were incorporated into an antimicrobial peptide. Its effect on the stability, activity, and the structure of the peptide was studied to evaluate the potential of these novel unnatural amino acids as a building block for antimicrobial peptides. The incorporation of this unusual amino acid increased the resistance of the peptide against serum protease more than three times without a decrease in the activity. Circular dichroism spectra of the peptides indicated that all novel unnatural amino acids must have lower helical forming propensities than lysine. Our results indicated that the unnatural amino acids synthesized in this study could be used not only as a novel building block for combinatorial libraries of antimicrobial peptides, but also for structure–activity relationship studies about antimicrobial peptides.     

Identification of protein-binding peptides by direct matrix-assisted laser desorption ionization time-of-flight mass spectrometry analysis of peptide beads selected from the screening of one bead-one peptide combinatorial libraries

A fast and inexpensive strategy for the identification of peptide ligands by direct matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) analysis of peptide beads screened from one bead-one peptide combinatorial libraries is herein described. Streptavidin was used as the model protein. A combinatorial library of 6561 peptides was synthesized on ChemMatrix resin by the divide-couple-recombine method. 4-Hydroxymethylbenzoic acid was used as the linker and five residues of Gly were incorporated at the C termini to increase the final peptide molecular weight. Positive control peptides with the HPQ motif and negative control peptides without the HPQ motif evidenced that the linker and the five residues of Gly have neither impaired the specific binding nor facilitated unspecific binding. After screening the library, positive beads were isolated and washed with 8M guanidine hydrochloride. The beads were sliced into two or four pieces, deposited onto the stainless steel MALDI sample plate, and treated with ammonia vapor to release the peptides. In addition, 26 beads picked at random from the library were subjected to the same treatment. All samples were analyzed by MALDI-TOF-MS and the peptides were unambiguously identified with very good reproducibility between the bead pieces, thus evidencing the good homogeneity of the bead. All sequences obtained from the screening contained HPQ.     

Affinity chromatographic screening of soluble combinatorial peptide libraries.

Affinity chromatography using immobilized S-protein was used for the screening of affinity peptide ligands from two soluble peptide libraries. Peptide library I consisted of octamers with glycine (G) at both termini of each peptide, i.e. GXXXXXXG. The six center positions were constructed using random sequences of six L-amino acids (Y, N, F, E, V, and L). Peptide library II also consisted of octamers but with glycine and valine (V) at both termini of each peptide (GVZZZZVG). The four variable center positions of peptide library II were random sequences of 18 L-amino acids. Peptides that were retained specifically on the immobilized S-protein column were eluted by 2% acetic acid. The peptides in the acid eluate were further separated using reversed-phase HPLC. Each separated peptide fraction was collected and the peptide sequences deconvoluted by mass spectrometry (MS/MS). The screenings of peptide libraries I and II resulted in 12 and 7 affinity peptides, respectively. Eight out of the twelve peptides from peptide library I contained the clear consensus sequence NFEV. Peptide library II resulted in affinity peptides with the sequences GVNFEVVG, GVNFTVVG and GVFFEL(I)VG. The advantages and limitations of affinity chromatography in peptide library screening are discussed.     

HMMatch: peptide identification by spectral matching of tandem mass spectra using hidden Markov models.

Peptide identification by tandem mass spectrometry is the dominant proteomics workflow for protein characterization in complex samples. The peptide fragmentation spectra generated by these workflows exhibit characteristic fragmentation patterns that can be used to identify the peptide. In other fields, where the compounds of interest do not have the convenient linear structure of peptides, fragmentation spectra are identified by comparing new spectra with libraries of identified spectra, an approach called spectral matching. In contrast to sequence-based tandem mass spectrometry search engines used for peptides, spectral matching can make use of the intensities of fragment peaks in library spectra to assess the quality of a match. We evaluate a hidden Markov model approach (HMMatch) to spectral matching, in which many examples of a peptide's fragmentation spectrum are summarized in a generative probabilistic model that captures the consensus and variation of each peak's intensity. We demonstrate that HMMatch has good specificity and superior sensitivity, compared to sequence database search engines such as X!Tandem. HMMatch achieves good results from relatively few training spectra, is fast to train, and can evaluate many spectra per second. A statistical significance model permits HMMatch scores to be compared with each other, and with other peptide identification tools, on a unified scale. HMMatch shows a similar degree of concordance with X!Tandem, Mascot, and NIST's MS Search, as they do with each other, suggesting that each tool can assign peptides to spectra that the others miss. Finally, we show that it is possible to extrapolate HMMatch models beyond a single peptide's training spectra to the spectra of related peptides, expanding the application of spectral matching techniques beyond the set of peptides previously observed.     

Immunogenically fit subunit vaccine components via epitope discovery from natural peptide libraries

Antigenic peptides that bind pathogen-specific Abs are a potential source of subunit vaccine components. To be effective the peptides must be immunogenically fit: when used as immunogens they must elicit Abs that cross-react with native intact pathogen. In this study, antigenic peptides obtained from phage display libraries through epitope discovery were systematically examined for immunogenic fitness. Peptides selected from random peptide libraries, in which the phage-displayed peptides are encoded by synthetic degenerate oligonucleotides, had marginal immunogenic fitness. In contrast, 50% of the peptides selected from a natural peptide library, in which phage display segments of actual pathogen polypeptides, proved very successful. Epitope discovery from natural peptide libraries is a promising route to subunit vaccines.     

Mass spectrometric analysis of combinatorial peptide libraries derived from the tandem repeat unit of MUC2 mucin.

Four 19-member synthetic peptide libraries, based on the TX1TX2T epitope motif of the mucin-2 gastrointestinal glycoprotein (MUC2) and ranging in peptide length from dipeptides to 15-mers (XT, TXT, TQTXT and KVTPTPTPTGTQTXT), were synthesized by combinatorial solid phase peptide synthesis using the portioning-mixing combinatorial approach, and analysed by electrospray ionization mass spectrometry at different (1000-10000) resolutions. Most of the components of the individual libraries could be easily identified in a single-stage molecular mass screening experiment. The resolving power of the instrument becomes an important factor above 800-1000 Da molecular mass, when predominantly multiply charged molecular ions are formed. Approaches to the identification of isobars (glutamine/lysine), isomers leucine/isoleucine) and sequence variations by tandem mass spectrometry, and/or by high-performance liquid chromatography-mass spectrometry are outlined.     

Synthesis and screening of support-bound combinatorial peptide libraries with free C-termini: determination of the sequence specificity of PDZ domains

Preparation of support-bound combinatorial peptide libraries with free C-termini has been challenging in the past because solid-phase peptide synthesis usually starts from the C-terminus, which must be covalently attached to the solid support. In this work, we have developed a general methodology to synthesize and screen one-bead-one-compound peptide libraries containing free C-termini. TentaGel microbeads (90 mum) were spatially segregated into outer and inner layers, and peptides were synthesized on the beads in the conventional C --> N manner, with their C-termini attached to the support through an ester linkage on the bead surface but through an amide bond in the bead interior. The surface peptides were cyclized between their N-terminal amine and a carboxyl group installed at a C-terminal linker sequence, while the internal peptides were kept in the linear form. Base hydrolysis of the ester linkage in the cyclic peptides regenerated linear peptides that contained a free alpha-carboxyl group at their C-termini but remained covalently attached to the resin via the N-termini ("inverted" peptides). An inverted peptide library containing five random residues (theoretical diversity of 3.2 x 10 (6)) was synthesized and screened for binding to four postsynaptic density-95/discs large/zona occluden-1 (PDZ) domains of sodium-hydrogen exchanger regulatory factor-1 (NHERF1) and channel-interacting PDZ domain protein (CIPP). The identity of the binding peptides was determined by sequencing the linear encoding peptides inside the bead by partial Edman degradation/mass spectrometry. Consensus recognition motifs were identified for the PDZ domains, and representative peptides were resynthesized and confirmed for binding to their cognate PDZ domains. This method should be generally applicable to all PDZ domains as well as other protein domains and enzymes that recognize the C-terminus of their target proteins.     

Identification of HLA-Cw6.02 and HLA-Cw7.01 allele-specific binding motifs by screening synthetic peptide libraries

Unlike HLA-A and HLA-B, few peptide epitope motifs have been reported for HLA-C molecules. However, a number of cytotoxic T-lymphocyte epitopes derived from tumor antigens that bind to HLA-C molecules have been described. Here we report peptide-binding motifs for both HLA-Cw6.02 and HLA-Cw7.01 molecules. Recombinant human HLA molecules were generated and used to screen combinatorial 9mer peptide libraries. Complexes of HLA molecules properly folded and associated with ₂-microglobulin and peptides were identified using a conformation-specific HLA class I antibody conjugated to alkaline phosphatase. In the presence of substrate, peptide beads can be readily isolated and microsequenced to determine peptide identity. Of the peptides that bound to HLA-Cw6.02 and HLA-Cw7.01, 19 and 18 peptides, respectively, were sequenced, allowing motif identification for each C allele. This is the first report of an HLA-Cw7.01 peptide motif and extends the findings of Falk et al. [(1993) Proc Natl Acad Sci USA 90:12005] for an HLA-Cw6.02 motif. Anchoring amino acids for the HLA-Cw6.02 motif were phenylalanine or tyrosine in position (P)1, arginine in P2, and an aliphatic/aromatic residue at P9. Anchoring residues for HLA-Cw7.01 were positively charged amino acids in P1 and P2. Unlike most other HLA molecules, we were unable to assign P9 an anchoring residue, and we suspect that HLA-Cw7.01 binds peptides in an unconventional manner. Additionally, preferred amino acids were identified for both molecules. Identification of HLA-Cw6.02 and HLA-Cw7.01 peptide-binding motifs makes a significant contribution to the C allele peptide-binding motifs and will allow investigators to predict, design, and test HLA-Cw6.02 and HLA-Cw7.01 engineered peptides for immunotherapy.     

A method for the preparation of adjuvant peptide mimetics of GMDP with the use of monoclonal antibodies and combinatorial libraries of peptides in the format of phage display

A method for the preparation of peptide mimetics of GMDP which could exhibit adjuvant activity without the negative effects of GMDP is described. The search for peptides with GMDP-like adjuvant activity was performed using highly specific monoclonal antibodies against GMDP and combinatorial peptide libraries in the format of phage display. Various elution methods were used for the immunoaffinity enrichment of the libraries during the course of the preparation of highly active and specific peptides. A sole peptide Arg-Val-Pro-Pro-Arg-Tyr-His-Ala-Lys-Ile-Ser-Pro-Met-Val-Asn (RN) was obtained by the elution of phage particles from the immunosorbent with a 1 μM solution of the natural ligand (GMDP). Elution with a buffer with a low pH value (0.1 M glycine-HCl, pH 2.2) gave two other peptides: Ser-Gly-Arg-Val-Ala-Val-Ser-Pro-Asp-Ser-Pro-Leu-Phe-Tyr-Pro (SP) and Arg-Tyr-Gly-Gly-Ser-Val-Leu-Asn-Ile-Glu-Cys-Gln-Phe-Tyr-Gly (RG). Affinity constants for the RN and SP peptides proved to be 3.6 × 10⁸ and 3.5 × 10⁸ M⁻¹, respectively. The specificity of the interaction with the monoclonal antibodies was checked by the competitive displacement of the peptides from the antigen-antibody complex by GMDP. The RN peptide exhibited adjuvant activity similar to that of GMDP, but had no pyrogenic effect characteristic of GMDP. The described method could be used for the search for mimetics of biologically active low-molecular compounds.     

Assessing high affinity binding to HLA-DQ2.5 by a novel peptide library based approach

Here we report on a novel peptide library based method for HLA class II binding motif identification. The approach is based on water soluble HLA class II molecules and soluble dedicated peptide libraries. A high number of different synthetic peptides are competing to interact with a limited amount of HLA molecules, giving a selective force in the binding. The peptide libraries can be designed so that the sequence length, the alignment of binding registers, the numbers and composition of random positions are controlled, and also modified amino acids can be included. Selected library peptides bound to HLA are then isolated by size exclusion chromatography and sequenced by tandem mass spectrometry online coupled to liquid chromatography. The MS/MS data are subsequently searched against a library defined database using a search engine such as Mascot, followed by manual inspection of the results. We used two dodecamer and two decamer peptide libraries and HLA-DQ2.5 to test possibilities and limits of this method. The selected sequences which we identified in the fraction eluted from HLA-DQ2.5 showed a higher average of their predicted binding affinity values compared to the original peptide library. The eluted sequences fit very well with the previously described HLA-DQ2.5 peptide binding motif. This novel method, limited by library complexity and sensitivity of mass spectrometry, allows the analysis of several thousand synthetic sequences concomitantly in a simple water soluble format.     

Extending the coverage of spectral libraries: A neighbor‐based approach to predicting intensities of peptide fragmentation spectra

Searching spectral libraries in MS/MS is an important new approach to improving the quality of peptide and protein identification. The idea relies on the observation that ion intensities in an MS/MS spectrum of a given peptide are generally reproducible across experiments, and thus, matching between spectra from an experiment and the spectra of previously identified peptides stored in a spectral library can lead to better peptide identification compared to the traditional database search. However, the use of libraries is greatly limited by their coverage of peptide sequences: even for well‐studied organisms a large fraction of peptides have not been previously identified. To address this issue, we propose to expand spectral libraries by predicting the MS/MS spectra of peptides based on the spectra of peptides with similar sequences. We first demonstrate that the intensity patterns of dominant fragment ions between similar peptides tend to be similar. In accordance with this observation, we develop a neighbor‐based approach that first selects peptides that are likely to have spectra similar to the target peptide and then combines their spectra using a weighted K‐nearest neighbor method to accurately predict fragment ion intensities corresponding to the target peptide. This approach has the potential to predict spectra for every peptide in the proteome. When rigorous quality criteria are applied, we estimate that the method increases the coverage of spectral libraries available from the National Institute of Standards and Technology by 20–60%, although the values vary with peptide length and charge state. We find that the overall best search performance is achieved when spectral libraries are supplemented by the high quality predicted spectra.     

Discovery of high-affinity peptide ligands for vancomycin

Vancomycin, an important antibiotic against medically relevant gram-positive bacteria such as methicillin-resistant Staphylococcus aureus, exerts its antibacterial effects by binding with moderate affinity to the C-terminal Lys-D-Ala-D-Ala motif (Kaa) of the bacterial cell wall peptide precursor. Essential for Kaa binding to vancomcyin is the free-carboxyl group on the terminal D-Ala in Kaa. In efforts to identify other Kaa-based peptides which bind vancomycin with higher affinity, we utilized our one-bead-one-compound (OBOC) combinatorial library approach, a method which has been widely used to discover highly specific ligands against various receptors. In standard OBOC peptide libraries, the C-terminal end of the synthesized peptide is tethered to a solid-support/resin, however, this study reports development of a synthetic strategy for generating OBOC peptide libraries with a free D-Ala-D-Ala carboxyl end. We screened these "OBOC inverted" peptide libraries against vancomycin, and discovered a series of peptide ligands with strong consensus, which bind vancomycin. To further optimize these ligands, two highly focused Kaa-containing OBOC combinatorial peptidomimetic libraries were designed, synthesized, and screened against vancomycin under more stringent conditions. Peptidomimetic ligands which bind vancomycin with higher affinity than Kaa were identified. The dissociation constant of one of these ligands, Lys(Ac)-HOCit-Glu-Cha-Lys(3,5-dihydroxybenzoyl)-D-Ala-D-Ala (9), as determined by surface plasmon resonance, was 1.03 microM, roughly a 50-fold improvement in affinity compared to Kaa (K(D) = 50 microM).     

Pathway for degradation of peptides generated by proteasomes: a key role for thimet oligopeptidase and other metallopeptidases

The degradation of cellular proteins by proteasomes generates peptides 2-24 residues long, which are hydrolyzed rapidly to amino acids. To define the final steps in this pathway and the responsible peptidases, we fractionated by size the peptides generated by proteasomes from beta-[14C]casein and studied in HeLa cell extracts the degradation of the 9-17 residue fraction and also of synthetic deca- and dodecapeptide libraries, because peptides of this size serve as precursors to MHC class I antigenic peptides. Their hydrolysis was followed by measuring the generation of smaller peptides or of new amino groups using fluorescamine. The 14C-labeled peptides released by 20 S proteasomes could not be degraded further by proteasomes. However, their degradation in the extracts and that of the peptide libraries was completely blocked by o-phenanthroline and thus required metallopeptidases. One such endopeptidase, thimet oligopeptidase (TOP), which was recently shown to degrade many antigenic precursors in the cytosol, was found to play a major role in degrading proteasome products. Inhibition or immunodepletion of TOP decreased their degradation and that of the peptide libraries by 30-50%. Pure TOP failed to degrade proteasome products 18-24 residues long but degraded the 9-17 residue fraction to peptides of 6-9 residues. When aminopeptidases in the cell extract were inhibited with bestatin, the 9-17 residue proteasome products were also converted to peptides of 6-9 residues, instead of smaller products. Accordingly, the cytosolic aminopeptidase, leucine aminopeptidase, could not degrade the 9-17 residue fraction but hydrolyzed the peptides generated by TOP to smaller products, recapitulating the process in cell extracts. Inactivation of both TOP and aminopeptidases blocked the degradation of proteasome products and peptide libraries nearly completely. Thus, degradation of most 9-17 residue proteasome products is initiated by endoproteolytic cleavages, primarily by TOP, and the resulting 6-9 residue fragments are further digested to amino acids by aminopeptidases.