Systematic Discovery of Short Linear Motifs Decodes Calcineurin Phosphatase Signaling.

Short linear motifs (SLiMs) drive dynamic protein-protein interactions essential for signaling, but sequence degeneracy and low binding affinities make them difficult to identify. We harnessed unbiased systematic approaches for SLiM discovery to elucidate the regulatory network of calcineurin (CN)/PP2B, the Ca2+-activated phosphatase that recognizes LxVP and PxIxIT motifs. In vitro proteome-wide detection of CN-binding peptides, in vivo SLiM-dependent proximity labeling, and in silico modeling of motif determinants uncovered unanticipated CN interactors, including NOTCH1, which we establish as a CN substrate. Unexpectedly, CN shows SLiM-dependent proximity to centrosomal and nuclear pore complex (NPC) proteins-structures where Ca2+ signaling is largely uncharacterized. CN dephosphorylates human and yeast NPC proteins and promotes accumulation of a nuclear transport reporter, suggesting conserved NPC regulation by CN. The CN network assembled here provides a resource to investigate Ca2+ and CN signaling and demonstrates synergy between experimental and computational methods, establishing a blueprint for examining SLiM-based networks.

Homing Peptides for Cancer Therapy.

Tumor-homing peptides are widely used for improving tumor selectivity of anticancer drugs and imaging agents. The goal is to increase tumor uptake and reduce accumulation at nontarget sites. Here, we describe current approaches for tumor-homing peptide identification and validation, and provide comprehensive overview of classes of tumor-homing peptides undergoing preclinical and clinical development. We focus on unique mechanistic features and applications of a recently discovered class of tumor-homing peptides, tumor-penetrating C-end Rule (CendR) peptides, that can be used for tissue penetrative targeting of extravascular tumor tissue. Finally, we discuss unanswered questions and future directions in the field of development of peptide-guided smart drugs and imaging agents.

Genetically-encoded fragment-based discovery of glycopeptide ligands for DC-SIGN.

We have employed genetically-encoded fragment-based discovery to identify novel glycopeptides with affinity for the dendritic cell receptor DC-SIGN. Starting from libraries of 108 mannose-conjugated peptides, we identified glycopeptides that exhibited up to a 650-fold increase in multivalent binding affinity for DC-SIGN, which is also preserved in cells. Monovalently, our most potent glycopeptides have a similar potency to a Man3 oligosaccharide, representing a 15-fold increase in activity compared to mannose. These compounds represent the first examples of glycopeptide ligands that target the CRD of DC-SIGN. The natural framework of glycopeptide conjugates and the simplicity of orthogonal conjugation to make these glycopeptides anticipates a promising future for development of DC-SIGN-targeting moieties.

Identification of cancer-specific motifs in mimotope profiles of serum antibody repertoire.

BACKGROUND: For fighting cancer, earlier detection is crucial. Circulating auto-antibodies produced by the patient's own immune system after exposure to cancer proteins are promising bio-markers for the early detection of cancer. Since an antibody recognizes not the whole antigen but 4-7 critical amino acids within the antigenic determinant (epitope), the whole proteome can be represented by a random peptide phage display library. This opens the possibility to develop an early cancer detection test based on a set of peptide sequences identified by comparing cancer patients' and healthy donors' global peptide profiles of antibody specificities. RESULTS: Due to the enormously large number of peptide sequences contained in global peptide profiles generated by next generation sequencing, the large number of cancer and control sera is required to identify cancer-specific peptides with high degree of statistical significance. To decrease the number of peptides in profiles generated by nextgen sequencing without losing cancer-specific sequences we used for generation of profiles the phage library enriched by panning on the pool of cancer sera. To further decrease the complexity of profiles we used computational methods for transforming a list of peptides constituting the mimotope profiles to the list motifs formed by similar peptide sequences. CONCLUSION: We have shown that the amino-acid order is meaningful in mimotope motifs since they contain significantly more peptides than motifs among peptides where amino-acids are randomly permuted. Also the single sample motifs significantly differ from motifs in peptides drawn from multiple samples. Finally, multiple cancer-specific motifs have been identified.

Biased selection of propagation-related TUPs from phage display peptide libraries.

Phage display is rapidly advancing as a screening strategy in drug discovery and drug delivery. Phage-encoded combinatorial peptide libraries can be screened through the affinity selection procedure of biopanning to find pharmaceutically relevant cell-specific ligands. However, the unwanted enrichment of target-unrelated peptides (TUPs) with no true affinity for the target presents an important barrier to the successful screening of phage display libraries. Propagation-related TUPs (Pr-TUPs) are an emerging but less-studied category of phage display-derived false-positive hits that are displayed on the surface of clones with faster propagation rates. Despite long regarded as an unbiased selection system, accumulating evidence suggests that biopanning may create biological bias toward selection of phage clones with certain displayed peptides. This bias can be dependent on or independent of the displayed sequence and may act as a major driving force for the isolation of fast-growing clones. Sequence-dependent bias is reflected by censorship or over-representation of some amino acids in the displayed peptide and sequence-independent bias is derived from either point mutations or rare recombination events occurring in the phage genome. It is of utmost interest to clean biopanning data by identifying and removing Pr-TUPs. Experimental and bioinformatic approaches can be exploited for Pr-TUP discovery. With no doubt, obtaining deeper insight into how Pr-TUPs emerge during biopanning and how they could be detected provides a basis for using cell-targeting peptides isolated from phage display screening in the development of disease-specific diagnostic and therapeutic platforms.

Targeted delivery of proapoptotic peptides to tumor-associated macrophages improves survival.

Most current cancer therapies focus on killing malignant cells, but these cells are often genetically unstable and can become resistant to chemotherapy. Tumor-associated macrophages (TAMs) facilitate disease progression by promoting angiogenesis and tumor cell growth, as well as by suppressing the adaptive immune response. TAMs are therefore potential targets for adjuvant anticancer therapies. However, resident macrophages are critical to host defense, and preferential ablation of TAMs remains challenging. Macrophage activation is broadly categorized as classically activated, or M1, and alternatively activated, or M2, and TAMs in the tumor microenvironment have been shown to adopt the anti-inflammatory, M2-like phenotype. To date, there are no methods for specific molecular targeting of TAMs. In this work, we report the discovery of a unique peptide sequence, M2pep, identified using a subtractive phage biopanning strategy against whole cells. The peptide preferentially binds to murine M2 cells, including TAMs, with low affinity for other leukocytes. Confocal imaging demonstrates the accumulation of M2pep in TAMs in vivo after tail vein injection. Finally, tail vein injection of an M2pep fusion peptide with a proapoptotic peptide delays mortality and selectively reduces the M2-like TAM population. This work therefore describes a molecularly targeted construct for murine TAMs and provides proof of concept of this approach as an anticancer treatment. In addition, M2pep is a useful tool for murine M2 macrophage identification and for modulating M2 macrophages in other murine models of disease involving M2 cells.

A simple and efficient maleimide-based approach for peptide extension with a cysteine-containing peptide phage library.

Although peptide-based molecules are known to have therapeutic potential, the generation of phage focused libraries to optimize peptides is effort-consuming. A chemical method is developed to extend a maleimide-conjugated peptide with a cysteine-containing random-peptide phage display library. As a proof of concept, a 15-mer epidermal growth factor receptor (EGFR)-binding peptide was synthesized with a maleimide group at its C-terminus and then conjugated to the cysteine-containing library. After panning and screening, several extended peptides were discovered and tested to have a higher affinity to EGFR. This strategy can have broad utility to optimize pharmacophores of any modalities (peptides, unnatural peptides, drug conjugates) capable of bearing a maleimide group.

Biomarker Discovery by ORFeome Phage Display.

Phage display is an efficient and robust method for protein-protein interaction studies. Although it is mostly used for antibody generation, it can be also utilized for the discovery of immunogenic proteins that could be used as biomarkers. Through this technique, a genome or metagenome is fragmented and cloned into a phagemid vector. The resulting protein fragments from this genetic material are displayed on M13 phage surface, while the corresponding gene fragments are packaged. This packaging process uses the pIII deficient helperphage, called Hyperphage (M13KO7 ΔpIII), so open reading frames (ORFs) are enriched in these libraries, giving the name to this method: ORFeome phage display. After conducting a selection procedure, called "bio-panning," relevant immunogenic peptides or protein fragments are selected using purified antibodies or serum samples, and can be used as potential biomarkers. As ORFeome phage display is an in vitro method, only the DNA or cDNA of the species of interest is needed. Therefore, this approach is also suitable for organisms that are hard to cultivate, or metagenomic samples, for example. An additional advantage is that the biomarker discovery is not limited to surface proteins due to the presentation of virtually every kind of peptide or protein fragment encoded by the ORFeome on the phage surface. At last, the selected biomarkers can be the start for the development of diagnostic assays, vaccines, or protein interaction studies.

Profiling calcium-dependent interactions between Sorcin and intrinsically disordered regions of human proteome.

BACKGROUND: Sorcin is a calcium sensor that exerts many calcium-related functions in the cells, e.g. it regulates calcium concentration in the cytoplasm, endoplasmic reticulum (ER) and mitochondria, by interacting with calcium pumps, exchangers and channels. Albeit Sorcin is an interesting potential cancer target, little is known about its interactors upon calcium-mediated activation. Our previous study suggested that Sorcin may recognize short linear binding motifs as the crystal structure revealed a self-interaction with a GYYPGG stretch in its N-terminus, and combinatorial peptide-phage display provided support for peptide-mediated interactions. METHODS: In this study we screened for motif-based interactions between Sorcin and intrinsically disordered regions of the human proteome using proteomic peptide phage display (ProP-PD). We identified a peptide belonging to protein phosphatase 1 regulatory subunit 3G (PPP1R3G) as a potential novel interactor and confirm the interaction through biophysical and cell-based approaches, and provide structural information through molecular dynamics simulations. RESULTS: Altogether, we identify a preferred motif in the enriched pool of binders and a peptide belonging to protein phosphatase 1 regulatory subunit 3G (PPP1R3G) as a preferred ligand. CONCLUSION: Through this study we gain information on a new Sorcin binding partner and profile Sorcin's motif-based interaction. GENERAL SIGNIFICANCE: The interaction between Sorcin and PPP1R3G may suggest a close dependence between glucose homeostasis and calcium concentration in the different cell compartments, opening a completely new and interesting scenery yet to be fully disclosed.

A New Approach to Assess mAb Aggregation.

A proof of concept for new methodology to detect and potentially quantify mAb aggregation is presented. Assay development included using an aggregated mAb as bait for screening of a phage display peptide library and identifying those peptides with random sequence which can recognize mAb aggregates. The selected peptides can be used for developing homogeneous quantitative methods to assess mAb aggregation. Results indicate that a peptide-binding method coupled with fluorescence polarization detection can detect mAb aggregation and potentially monitor the propensity of therapeutic protein candidates to aggregate.

Comprehensive analysis of all evolutionary paths between two divergent PDZ domain specificities.

To understand the molecular evolution of functional diversity in protein families, we comprehensively investigated the consequences of all possible mutation combinations separating two peptide-binding domains with highly divergent specificities. We analyzed the Erbin PDZ domain (Erbin-PDZ), which exhibits canonical type I specificity, and a synthetic Erbin-PDZ variant (E-14) that differs at six positions and exhibits an atypical specificity that closely resembles that of the natural Pdlim4 PDZ domain (Pdlim4-PDZ). We constructed a panel of 64 PDZ domains covering all possible transitions between Erbin-PDZ and E-14 (i.e., the panel contained variants with all possible combinations of either the Erbin-PDZ or E-14 sequence at the six differing positions). We assessed the specificity profiles of the 64 PDZ domains using a C-terminal phage-displayed peptide library containing all possible genetically encoded heptapeptides. The specificity profiles clustered into six distinct groups, showing that intermediate domains can be nodes for the evolution of divergent functions. Remarkably, three substitutions were sufficient to convert the specificity of Erbin-PDZ to that of Pdlim4-PDZ, whereas Pdlim4-PDZ contains 71 differences relative to Erbin-PDZ. X-ray crystallography revealed the structural basis for specificity transition: a single substitution in the center of the binding site, supported by contributions from auxiliary substitutions, altered the main chain conformation of the peptide ligand to resemble that of ligands bound to Pdlim4-PDZ. Our results show that a very small set of mutations can dramatically alter protein specificity, and these findings support the hypothesis whereby complex protein functions evolve by gene duplication followed by cumulative mutations.

Screening and Identification of PLK1-Polo Box Binding Peptides by High-Throughput Sequencing of Phage-Selected Libraries.

BACKGROUND: Human proteome contains a plethora of short linear peptide motifs that is crucial for signaling and other cellular processes. These motifs are difficult to identify due to lack of systematic approach for their detection. OBJECTIVES: Here we demonstrate the use of peptide phage display in combination with high throughput next generation sequencing to identify enriched peptide sequences through biopanning process against polo box domain (PBD) of mitotic polo like kinase 1 (Plk1). METHODS: Purified recombinant Plk1 and two unrelated controls namely B-lymphocyte antigen (CD20) and fluorescent protein (mCherry) were subjected to peptide phage display analysis. Bacterially-propagated phage DNA was amplified by PCR using triplet bar coded primers to tag the pool from each amplicon. RESULTS: Proteomic peptide phage display along with next generation sequencing and Bioinformatics analysis demonstrated several known and putative novel interactions which were potentially related to Plk1-PBD. With our strategy, we were able to identify and characterize several Plk1-PBD binding peptides, as well as define more precisely, consensus sequences. CONCLUSION: We believe that this information could provide valuable tools for exploring novel interaction involved in Plk1 signaling as well as to choose peptides for Plk1 specific drug development.

A high throughput method for identifying personalized tumor-associated antigens.

Circulating autoantibodies against tumor-associated antigens (TAAs) and their pattern of glycosylation can be used as diagnostic indicators of cancer. Using random peptide library screening, we identified patient-specific sets of peptides recognized by colon cancer patients' serum IgG and IgM antibodies. We demonstrate a strategy for analyzing BLAST search results for identifying tumor-associated antigens represented by peptides that mimic sequential epitopes. Statistical analysis of the frequency with which the proteins are retrieved by BLAST homology searching and an estimation of the probability of a match by chance can identify the proteins that are the real targets of the immune response against tumors. In addition, we observed an over-expression of the mRNA for the match-producing protein only in the corresponding tumor sample, out of fourteen tumor and normal samples analyzed. This observation confirms that personalized tumor-associated antigens can be identified by BLAST homology search following random peptide library screening on cancer patient's serum antibodies.