Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2010 Feb 10.
Published in final edited form as: Expert Opin Drug Discov. 2007 Apr 1;2(4):525. doi: 10.1517/17460441.2.4.525

Potential of phage-displayed peptide library technology to identify functional targeting peptides

Lauren RH Krumpe 1, Toshiyuki Mori 2,
PMCID: PMC2818987  NIHMSID: NIHMS168284  PMID: 20150977

Abstract

Combinatorial peptide library technology is a valuable resource for drug discovery and development. Several peptide drugs developed through phage-displayed peptide library technology are presently in clinical trials and the authors envision that phage-displayed peptide library technology will assist in the discovery and development of many more. This review attempts to compile and summarize recent literature on targeting peptides developed through peptide library technology, with special emphasis on novel peptides with targeting capacity evaluated in vivo.

Keywords: library, peptide, phage display, targeting

1. Introduction

New technologies have reduced many of the earlier limitations of peptides as potential therapeutics. Recent efforts to identify new peptides that bind to their target molecules and to manipulate biologic function of the targets with peptide engineering technologies have brought several potential peptide-based therapeutics to clinical trials. Although several types of combinatorial peptide display technologies have been used to identify ligands and targeting peptides, bacteriophage (phage) display has dominated the field. Using phage-displayed peptide libraries, a number of peptides that interact with protein targets, in some cases with high affinity and specificity, have been found [1-5].

Peptide therapeutics developed through phage-displayed library technology presently in clinical trials include Hematide® (Affymex/Takeda), DX-890, AMG-386 and AMG-531. Hematide is a synthetic, dimeric peptide erythropoiesis-stimulating agent covalently linked to polyethylene glycol. The original peptide structure was isolated from a phage-displayed peptide library. After extensive sequencing and architectural modification, the peptide was converted into a stable, potent erythropoietin mimetic. Hematide is being evaluated in patients in a Phase II clinical trial as a once-monthly administration for the correction of anemia associated with chronic kidney disease [6].

DX-890 is a specific inhibitor of human neutrophil elastase with low picomolar order affinity [7]. The peptide component of DX-890 was initially isolated from a peptide library displayed on a bacteriophage. Neutrophil elastase produced by white blood cells is involved in inflammation and infection, particularly in chronic inflammation of the lungs in patients suffering from cystic fibrosis. DX-890 is in Phase II clinical trials for the potential treatment of cystic fibrosis.

AMG-386, which is in a Phase I clinical trial, is a recombinant Fc-fusion protein containing angiopoietin-2-targeting peptide, which was originally isolated from a phage-displayed peptide library [8]. AMG-386 blocks the interaction between angiopoietin-2 and its receptor, therefore, inhibiting the Tie2-dependent stimulation of endothelial cells.

AMG-531 consists of a carrier Fc domain linked to multiple copies of an Mpl-binding peptide, which stimulates the thrombopoietin receptor and, thus, increases platelet production. The peptide active component of AMG-531 was first isolated from a phage-displayed peptide library [9]. AMG-531 has been investigated for the treatment of idiopathic thrombocytopenic purpura, which is an autoimmune bleeding disorder characterized by an abnormal decrease in platelets. Phase III clinical studies with AMG-531 were initiated in 2005.

The goal of this review is to look back on the use of peptide library technology and to examine the future prospects of the technology in the identification of targeting peptides in drug discovery and development. Phage display technology has been the most widely reported method of peptide library display and, as such, most of this review is focussed on phage-displayed peptide libraries. However, targeting peptides have also been successfully isolated from one-bead-one-compound and bacteria-displayed peptide libraries. This review focuses on the recent literature published from 2005 on and places special emphasis on peptide targeting capacity evaluated in vivo.

2. Phage-displayed peptide library technology

Several types of combinatorial peptide display technologies have been used to identify ligands and targeting-peptides. These include synthetic one-bead-one-compound libraries [10-12], cell-free translation systems, such as mRNA display (peptide linked to mRNA by puromycin) [13-15], DNA display (DNA and peptide captured in compartments of water-in-oil emulsions) [16] and ribosome display libraries (peptide linked to mRNA by stalling the ribosome) [17-19], and biologic libraries, such as bacteria display [20-22], adenovirus display [23,24], baculovirus display [24] and bacteriophage display libraries [25-28]. GP Smith reported in 1985 that a bacteriophage could be manipulated to display foreign amino acid sequences on the surface of the phage by fusion to phage coat proteins without losing the ability of phage infectivity [28]. Thus, it has been more than two decades since phage display technology was invented and phage display has, by far, become the most widely used peptide display system in drug discovery. The key features of phage display are: i) the physical linkage between the displayed polypeptide (phenotype/function) and the polypeptide encoding DNA sequence encapsulated in the viral particle (genotype/information); ii) the size of polypeptide library that can be displayed (108 – 1011 unique amino acid sequences); iii) the use of self-replicating nanoparticles; and iv) the ability to subject these libraries to in vivo biopanning. Peptide libraries displayed on phage have been used as a screening resource for identifying peptides bound to any given target and many of these peptides showed pharmacologic effects on the target protein [3,29-31].

Screening a phage-displayed peptide library is accomplished through an affinity-selection process referred to as biopanning. Biopanning consists of: i) incubating the peptide library with the target; ii) washing away unbound phage; iii) eluting the remaining bound phage, and iv) amplifying the eluted phage for subsequent screening rounds. After multiple rounds of biopanning, the target-binding phage can be enriched and individual phage are isolated and sequenced to reveal any enriched binding motif. This biopanning process can be accomplished both in vitro and in/ex vivo or by a combination of both techniques [30,32].

Filamentous phage (M13, f1, and fd) has been the most common vector used in the construction of peptide phage-displayed libraries [31,33,34], although previous studies demonstrated specific and positional amino acid biases in populations of peptides randomly selected from M13 libraries because of the processes of filamentous phage morphogenesis [35,36]. Alternative phage display systems have been developed using lytic phage such as T7, T4, λ and P4 [37-39]. The prevalence of filamentous phage-displayed peptide library usage may be, in part, due to the initial development of the technology with filamentous bacteriophage, the commercial availability of filamentous phage-displayed peptide libraries or a combination of both or other factors. Recent research in the authors' laboratory indicated that libraries produced with lytic phage could surpass the diversity of filamentous phage-displayed peptide libraries [36]. Peptides displayed on lytic phage do not have to be compatible with host cell synthesis and secretion complexes because lytic phage assembly occurs within the Escherichia coli cytoplasm and mature phage virions are released by cell lysis. When performing biopanning, the library should be of sufficient diversity to contain potential binding ligands for the target for successful outcome. Thus, the biologic process of phage morphogenesis should be carefully considered when choosing a phage for the display of peptides.

3. Potential target-specific peptides identified using phage-displayed peptide library technology

A successful outcome of library screening would identify a targeting peptide, which alone could exhibit therapeutic potential (agonists/antagonists). Alternatively, the use of the peptide could be to target a therapeutic to a specific cellular environment. Phage display technology, undoubtedly, has demonstrated its ability to identify such peptides. A search of present literature published between 2005 and 2006 revealed > 30 papers that disclose the identification of peptides using phage display, which were demonstrated to specifically target proteins in vitro. The technology has been used in attempts to develop novel targeting therapeutics or diagnostic reagents for human cancers [23,40-58], HIV infection [59,60], human papilloma virus infection [61], obesity [62], bacterial infection [63-66], parasitic infection [67], autoimmune disorders [68], thrombosis and inflammation [69,70], Alzheimer's disease [71] and increasing vaccine efficacy [72]. However, the in vivo therapeutic efficacy of these novel peptides remains to be determined.

One promising aspect of phage display technology is the ability to screen peptide libraries in vivo, which offers several advantages over in vitro screening. In the course of in vivo selection, negative selection by untargeted tissue occurs, which decreases background phage in the targeted tissue. In addition, one can screen against diseased tissues in animal models, as such cell lines are often not available for cell culture. Arap et al. reported the first in vivo screening of a phage-displayed peptide library in a human patient in 2002 [73]. After one round of bio-panning with a disulfide-constrained 7-mer filamentous phage-displayed peptide library, phage that targeted different tissues were isolated and it was found that phage binding to these different cell types did not occur by a random process. The group reported peptide motifs that homed to bone marrow, fat, muscle, prostate and skin. Furthermore, the authors evaluated a prostate-homing phage that displayed the peptide CGRRAGGSC, a mimic of IL-11 and showed the phage bound to endothelium and prostate endothelium in vitro.

After demonstrating minimal toxicity during in vivo screening of phage-displayed peptide libraries in mice, another group received FDA approval for the use of the technique in human clinical trials [74]. Krag et al. reported the results of a Phase I clinical trial in 2006 in which eight stage IV cancer patients received intravenous infusions of filamentous phage-displayed peptide or single-chain antibody libraries [75]. Two rounds of biopanning were performed in two patients and three rounds of biopanning in one patient. The authors disclosed a list of peptides isolated from one breast cancer patient who had received two phage peptide library infusions. In two patients with sufficient tumor nodules amenable to biopsy, the authors were able to validate tumor specificity in vitro using a filter-based enzyme-linked immunosorbent assay (ELISA) method. For example, a phage clone displaying the peptide MRIRCAAAWRATGTHCSLRA, which homed to a melanoma in one patient, exhibited binding to patient derived tumor cells in the filter ELISA, but showed little to no binding to normal melanocytes and seven melanoma cell lines. No adverse reactions were reported in this study. However, the authors observed antiphage antibodies after three weeks in some patients and, thus, advised that serial human in vivo biopanning should be completed with one week. Thus, phage-displayed peptide library technology has the potential to identify patient-specific targeting peptides by in vivo biopanning [76]. This application of the technology is early in development and will be interesting to follow to fruition. It is important to note here that the biodistribution and clearance properties of phage-displayed peptide libraries is dependent on the target organ, strains of mice and types of phage [77] and that researchers may need to try varying in vivo screening parameters to achieve success.

4. Targeting peptides evaluated in vivo

The ability of a peptide to target a specific protein in vitro may not translate to the ability to target a protein in vivo. Peptides can have very short half-lifes due to proteolytic degradation in serum and may not accumulate to a therapeutic level due to nonspecific uptake and excretion by the kidneys. Furthermore, peptides isolated by in vitro biopanning encounter a vast heterogeneity of proteins in vivo, the composition of which may differ drastically from in vitro screening conditions and, therefore, may not exhibit a satisfactory biodistribution. For these reasons, the authors chose to focus their attention on recent articles in which peptide in vivo targeting capacity was evaluated. A list of these novel targeting peptides is given in Table 1.

Table 1. Summary of targeting peptides either isolated by in vivo biopanning or evaluated in vivo.

Target Selection method(s) Peptide characteristics Reference
Cancer-related
Breast cancer M13 Phage display; mouse xenograft p160 (VPWMEPAYQRFL) targeted and internalized into MDA-MB-435 cells, IC50 = 0.6 μM, Kd = 0.86 μM [78,79]
Gastric cancer metastases M13 Phage display; mouse xenograft SWKLPPS-coated liposomes targeted peritoneal metastases of AZ-P7a cells and enhanced adriamycin anti-cancer activity [80]
Hepatocellular carcinoma M13 Phage display; mouse xenograft EGFR-selected GE11 (YHWYGYTPQNVI, Kd = 22 nM) and GE11-polyethylenimine vectors targeted SMMC-7721 cells [81]
M13 Phage display; mouse model SMMC-7721-selected KSLSRHDHIHHH suppressed tumor migration and when conjugated to TSST-1 superantigen, inhibited mouse H22 tumor growth [82]
M13 Phage display; mouse xenograft TACHQHVRMVRP targeted BEL-7402 tumors [83]
Leukemia One-bead-one compound; mouse xenograft Jurkat cell-selected LLP2A peptide targeted Molt-4 tumors; α4β1-integrin receptor ligand, IC50 = 2 pM [84,85]
Medullary thyroid carcinoma M13 Phage-display; mouse xenograft HTFEPGV phage targeted human MTC-derived TT cells and directed adenoviral binding and internalization [86]
M13 Phage-display; mouse in vivo biopanning; transgenic mouse model SRESPHP phage specifically targeted and internalized into MTC cells [87]
Melanoma M13 Phage display; mouse in vivo and in vitro biopanning; mouse model TRTKLPRLHLQS phage targeted B16 tumors and enhanced host immune response resulting in tumor necrosis and increased survival [88]
Pancreatic cancer fUSE 5 Phage display; mouse xenograft Penetratin sequence-conjugated G7-18NATE peptide decreased cell migration and metastasis; non-phosphorylated inhibitor targeted Grb7 SH2 domain [89,90]
M13 Phage display; mouse xenograft SHGFSRHSMTLI targeted irradiated Capan-2 tumors [91]
Prostate carcinoma fUSE 5 Phage display; mouse xenograft IAGLATPGWSHWLAL phage targeted PC-3 cells [92]
Bacterial display, FliTrx; mouse xenograft MM-2 (CPGDRGQRRLFSKIEGPC) targeted PC-3 cells [93]
M13 Phage display; mouse xenograft and rat model DUP-1 (FRPNRAQDYNTN) targeted DU-145 cells, IC50 = 180 nM [94]
Tumor vasculature fUSE 5 Phage-display, mouse models NGR-conjugated IFN-γ and NGR-conjugated TNF-α enhanced antitumor activity in T lymphoma (RMA), WEHI-164 fibrosarcoma, TS/A adenocarcinoma [97,99-101]
Non-cancer-related
Pancreas fUSE 5 Phage display; mouse in vivo biopanning CRVASVLPC phage targeted prolactin receptor in pancreas vasculature and islets [102]
fUSE 5 Phage display; mouse in vivo biopanning CVSNPRWKC and CHVLWSTRC, ephrin A-type ligand homologs, homed to pancreatic islets [103]
fd-tet Phage display RIP1 phage clone (LSGTPERSGQAVKVKLKAIP) targeted rat β-cells in islets [104]
Endothelium M13 Phage display; rat in vivo biopanning VNTANST and QPEHSST targeted adeno-associated virus to lung and brain endothelium, respectively [105]
T7 Phage display; ex vivo and in vivo mouse biopanning CRPPR peptide, and CKRAVR, CRSTRANPC, CPKTRRVPC phage targeted cardiac endothelium [106]
M13 Phage display; mouse inflammatory and atherosclerotic model CVHSPNKKC-coated superparamagnetic fluorescent nanoparticle targeted VCAM-1-expressing endothelium and atherosclerotic lesions [107]
M13 Phage display; mouse atherosclerotic model VHPKQHR-coated superparamagnetic fluorescent nanoparticle targeted VCAM-1-expressing endothelium and atherosclerotic lesions [108]
Fibrinogen/fibronectin T7 Phage-display; mouse zenograft and model CGLIIQKNEC,CNAGESSKNC targeted clotted plasma proteins and tumor tissue [109]

MTC: Medullary thyroid carcinoma; TT: Medullary thyroid carcinoma cells.

4.1 Cancer-related targets

4.1.1 Breast cancer

In 2001, Zhang et al. reported that an in vitro M13 phage-displayed peptide library screening against WAC 2 neuroblastoma cell line yielded a linear 12-mer peptide VPWMEPAYQRFL (p160) that also targeted the breast cancer cell line MDA-MB-435, in addition to targeting several neuroblastoma cell lines [78]. Askoxylakis et al. determined that the binding affinity of p160 was in the low micromolar range and showed that p160 internalized into MDA-MB-435 cells and clustered at the cellular membrane. Intravenously injected 131I-labeled p160 was demonstrated to specifically accumulate in Balb/cnu/nu xenografts of the breast tumor as compared with heart, spleen, liver and brain and the perfusion of the mice decreased radioactivity in nonspecific tissue [79].

4.1.2 Gastric cancer

Akita et al. reported the tripeptide motif lysine-leucine-proline (KLP) that targeted peritoneal metastases of gastric cancer derived from the AZ-P7a cell line in BALB/cnu/nu mouse xenografts [80]. In vivo biopanning with an M13 phage-displayed peptide library was conducted by peritoneal injection of the library and harvesting metastatic nodules for binding phage recovery. In vitro and in vivo competition experiments showed that synthetic SWKLPPS peptide significantly inhibited SWKLPPS-displaying phage from binding to metastases, indicating that targeting was attributed to the peptide moiety. SWKLPPS-coated liposomes accumulated in the peritoneal metastases more efficiently than non-coated liposomes. Furthermore, treatment with SWKLPPS-coated liposomes containing adriamycin enhanced antiproliferative affects compared with non-targeted control liposomes.

4.1.3 Hepatocellular carcinoma

Li et al. screened an M13 phage-displayed peptide library against recombinant human epidermal growth factor receptor (hEGFR) in vitro and isolated the phage displaying YHWYGYTPQNVI peptide (GE11) [81]. Synthetic free GE11 peptide and epidermal growth factor (EGF) inhibited phage binding to human EGF receptor (hEGFR) as well as the EGFR-positive human hepatocarcinoma cell line SMMC-7721. These results demonstrated GE11 peptide specificity for EGFR and the overlap of EGF and GE11 binding sites. The dissociation constant for GE11 was determined to be ∼ 22 nM. In vivo biodistribution studies showed that 125I-labelled GE11 specifically accumulated in SMMC-7721 tumor in mouse xenografts at 4 h post intravenous injection. GE11 peptide internalized into SMMC-7721 cells and lacked mitogenicity when coupled to polyethylenimine (PEI) vector. Li et al. further demonstrated that GE11-coated PEI/DNA polyplexes could target SMMC-7721 xenografts in vivo and attribute an 18-fold increase in luciferase expression in the tumor as compared with non-coated PEI/DNA polyplexes.

Jiang et al. reported the in vitro isolation of a 12-mer peptide from an M13 phage-displayed peptide library that bound to human hepatocellular carcinoma cell lines SMMC-7721 and BEL-7402, but not to normal liver cells [82]. To evaluate specificity, the authors showed that HCC79 peptide (KSLSRHDHIHHH) competed with SMMC-7721-specific HAb25 antibody. Synthetic HCC79 did not inhibit SMMC-7721 cellular proliferation, but did decrease cellular migration in a dose-dependent manner. HCC79 peptide conjugated to toxic shock syndrome toxin 1 (TSST-1) decreased TSST-1 toxicity and inhibited H22 tumor growth in a mouse model compared with TSST-1 alone.

Du et al. screened a pool of disulfide-constrained 7-mer and linear 12-mer M13 phage-displayed peptide libraries in vitro against the human hepatocellular carcinoma cell line BEL-7402 [83]. WP05 phage, bearing TACHQHVRMVRP peptide, bound specifically to BEL-7402 cells as detected with fluorescent microscopy. Peptide specificity for hepatocellular carcinoma was further demonstrated by showing FAM-labeled WP05 peptide bound to BEL-7402, BEL-7404, SMMC-7721 and HepG2 cells, but not to HL-7702 normal liver cells using fluorescence microscopy and flow cytometry. WP05 phage injected intravenously into mice bearing BEL-7402 tumors accumulated in the tumor as opposed to normal mouse liver tissue.

4.1.4 Leukemia

Peng et al. screened a one-bead-one-compound combinatorial 5-mer peptide library for Jurkat T-lymphoid leukemia cell-binding peptides [84,85]. To identify high-affinity targeting antagonists for α4β1-integrin receptor, BIO-1211, an α4β1-integrin receptor antagonist, was added during the selection process. LLP2A peptide from the library screening inhibited CS-1 peptide (α4β1-integrin-binding peptide derived from fibronectin) binding to Jurkat cells with a half-maximal inhibitory concentration (IC50) of ∼ 2 picomolar. LLP2A was demonstrated to be specific to α4β1-integrin-expressing Molt-4 tumors, K562 cells and α4-transfected Chinese hamster ovary cells by fluorescent microscopy, but not to five other integrin families. The in vivo biodistribution of LLP2A was evaluated by conjugating LLP2A peptide to streptavidin and Alexa680. The compound was then injected intravenously into mice bearing human Molt-4 tumor xenografts. The fluorescent LLP2A conjugate specifically targeted Molt-4 tumors compared with streptavidin-Alexa680 only and a scrambled peptide-streptavidin-Alexa680 conjugate. Accumulation of each conjugate was evident in kidneys, which the authors attributed to streptavidin, but not in other organs such as heart, liver, spleen and lung.

4.1.5 Medullary thyroid carcinoma

Bockmann et al. recently reported a deficiency of αv-integrin expression in human medullary thyroid carcinoma (MTC)-derived cell line (TT) cells in vivo compared with expression in vitro [86]. In attempts to target adenovirus internalization into MTC cells in a αv-integrin-independent pathway, a disulfide-constrained 7-mer M13 phage-displayed peptide library screened against TT cells in vitro and against a mouse MTC tumor xenograft in vivo. The most abundant motif, HTFEPGV, which was isolated from both in vitro and in vivo biopanning, was specific for TT cells compared with human lung cancer, embryonic kidney cells and fibroblasts and targeted TT cell-derived MTC xenografts in vivo. Furthermore, HTFEPGVC-linked adenovirus internalized into TT cells and internalization could be inhibited by synthetic HTFEPGV peptide. Later, the same research group screened another disulfide-constrained 7-mer M13 phage-displayed peptide library in the CT-2A transgenic mouse model of MTC [87]. Two rounds of in vivo biopanning afforded a 3000-fold increase in tumor-binding phage and resulted in the identification of the SRESPHP motif, which could specifically target MTC in vivo. SRESPHP-bearing phage was demonstrated to internalize into both murine MTC and human MTC xenograft tumors in vivo.

4.1.6 Melanoma

Eriksson et al. screened a 12-mer M13 phage-displayed peptide library using a combination of in vitro and in vivo selection in a B16 mouse melanoma model for tumor-targeting phage clones [88]. TRTKLPRLHLQS-bearing phage were demonstrated to be specific for melanoma compared MC57 and 293 cell lines and melan-A cells (non-cancerous melanocytes). Infiltration of polymorphonuclear neutrophils and production of TH1 cytokines was induced in the host by injection of purified tumor-specific phage clones adjacent to tumor. Treatment with tumor-specific peptide phage or antibody phage resulted in similar outcomes of tumor regression and long-term survival in mice.

4.1.7 Pancreatic cancer

Tanaka et al. reported that growth factor receptor-bound protein 7 (Grb7) expression was upregulated in 61% of pancreatic cancer specimens and that Grb7 upregulation was correlated with lymph node metastasis [89]. The authors then demonstrated that Grb7 siRNA abrogated Grb7 expression and resulted in reduced pancreatic cancer cell migration into fibronectin. A non-phosphorylated peptide inhibitor of Grb7 SH2 domain G7-18NATE, which was previously identified using filamentous phage display technology [90], was conjugated to a penetratin sequence to facilitate targeting and internalization into human pancreatic cancer cells (Panc-1) for evaluation of metastasis inhibition. Treatment of cells with the peptide conjugate did not alter proliferation, but did reduce migration into fibronectin. To evaluate the peptide inhibitor in vivo, BALB/c mice were injected intraperitoneally with Panc-1 cells, followed by peptide inhibitor treatment over 2 weeks. Treatment with the Grb7 inhibitor peptide successfully targeted Panc-1 cells and resulted in drastically limited pancreatic tumor cell migration and metastases.

Huang et al. screened a 12-mer M13 phage-displayed peptide library against irradiated Capan-2 human pancreatic adenocarcinoma cells in vitro, after which the isolated binding phage were subjected to subtractive screening on non-irradiated Capan-2 cells [91]. Using flow cytometry, synthetic peptide SHGFSRHSMTLI (PA1) was shown to target and internalize into irradiated Capan-2 cells, but not to non-irradiated cells. Furthermore, the authors demonstrated that intraperitoneally injected PA1 could target subcutaneous xenografts of irradiated Capan-2 tumors in mice, but not non-irradiated xenografts. The authors hypothesized that irradiation of the cells induced synthesis of new cell-surface receptor(s), which were responsible for the internalization of the peptide.

4.1.8 Prostate carcinoma

Newton et al. screened a 15-mer filamentous phage-displayed peptide library for PC-3 prostate carcinoma targeting phage in vivo using a mouse xenograft model [92]. The library was first precleared of non-specific phage clones by injecting the library intravenously and then phage collected from the bloodstream were used for biopanning in mice bearing PC-3 human prostate carcinoma xenograft. After four rounds of biopanning, phage were sequenced and prioritized using a ‘two-tier micropanning procedure’. First, clones were evaluated for tumor to muscle specificity and then those with a ratio ≥ 1.5 were evaluated for binding to PC-3 cells and human embryonic kidney cells in vitro. One phage clone was analyzed, which displayed the peptide IAGLATPGWSHW-LAL (G1). Synthetic G1 peptide and G1 phage accumulated at the surface of PC-3 cells and G1 phage also bound to several other prostate carcinoma cell lines in vitro, as determined using fluorescence microscopy. In vivo biodistribution studies with G1 phage revealed a 10:1 tumor to fat ratio, a 30:1 tumor to muscle ratio and 73% greater binding of G1 phage to tumor compared with wild-type phage in PC-3 xenografts in mice.

Zitzmann et al. screened a disulfide-constrained 12-mer peptide library displayed on E. coli flagella using the FliTrx system for PC-3 human prostate carcinoma cell line ligands [93]. After four rounds of selection on PC-3 cells, bacteria displaying CPGDRGQRRLFSKIEGPC peptide (MM-2) were enriched. Synthetic MM-2 peptide accumulated in PC-3 cells in vitro compared with human umbilical vein endothelial cells (HUVECs) and non-cancerous PNT-2 prostate cells. The authors demonstrated that MM-2 was stable in human serum for > 24 h and showed that MM-2 accumulated specifically in PC-3 xenografts in vivo after intravenous injection in mice. MM-2 peptide accumulated in tumor at a rate of 1% injected dose per gram of tissue, which was a greater rate than accumulation in other organs with the exception of kidney and blood.

Zitzmann et al. used a 12-mer M13 phage-displayed peptide library to screen for ligands of the DU-145 prostate carcinoma cell line [94]. Biopanning was performed first by negative selection on human embryonic kidney cells and then incubation with DU-145 cells in vitro. After six rounds of biopanning, all sequenced phage clones were determined to display the same peptide FRPNRAQDYNTN (DUP-1). Synthetic DUP-1 peptide bound to DU-145 and PC-3 cells, but not to HUVECs or the benign prostate cell line PNT-2 and rapidly internalized into DU-145 cells. The IC50 of DUP-1 for DU-145 cells was determined to be 180 nM. DUP-1 accumulated specifically in DU-145 and PC-3 xenografts in vivo and perfusion with sodium chloride solution decreased non-specific accumulation in kidney and blood. The in vivo biodistribution of DUP-1 was also evaluated using the AT-1 rat prostate adenocarcinoma model. In rats, DUP-1 accumulated in cancerous prostate tissue threefold compared with normal prostate tissue and muscle. The authors reported that DUP-145 was degraded in human, mouse and rat serum within ∼ 10 min and suggested in vivo stabilization experiments with this lead structure.

4.1.9 Tumor vasculature

In 1998, Arap et al. reported that the integrin-binding RGD and aminopeptidase N-binding NGR peptide motifs mediated the specific drug delivery of doxorubicin to human breast cancer xenografts in mice [95-97]. For a review of recent literature involving RGD peptide-mediated drug delivery the reader is directed to Dunehoo et al. [98]. Several recent reports have demonstrated the capacity of NGR peptides for specifically targeting tumor vasculature in vivo [99-101]. Curnis et al. reported NGR-conjugated IFN-γ stimulated antitumor activity in lymphoma and fibrosarcoma mouse models as compared with IFN-γ alone [99]. The specificity of targeting was demonstrated by showing anti-CD13 monoclonal antibody coadministration diminished NGR-IFN-γ antitumor activity. Sacchi et al. evaluated coadministration of NGR-conjugated TNF with several chemotherapeutic drugs in lymphoma and fibrosarcoma mouse models [101]. The authors reported that the NGR-TNF conjugate, when administered 2 h prior, enhanced the efficacy of cisplatin, gemcitabine and paclitaxel.

4.2 Non-cancer related targets

4.2.1 Pancreatic vasculature and islets of Langerhans

Kolonin et al. screened a disulfide-constrained 7-mer filamentous phage-displayed peptide library in vivo in mice to evaluate a novel screening strategy in which phage clones recovered from multiple organs are amplified individually (per organ) and then pooled prior to subsequent screening rounds, in combination with statistical prioritization of isolated binding peptides [102]. After each screening round, 96 phage clones were sequenced for each organ studied. The recovered amino acid sequences were analyzed for enrichment of tri-peptide motifs using a Bayesian Beta/Binomial model and the frequencies of which were compared with frequencies of the naive unselected library. The authors then used the Basic Local Alignment Search Tool (BLAST; National Center for Biotechnology Information [NCBI]) to identify motifs that mimicked known receptor ligands and found that several recovered motifs aligned with known proteins. The author reported that ASVL, WSGL and GWSG peptide motifs homed to the murine pancreas and that the motifs could potentially mimic pancreas-signaling peptide hormone. Pooled phage that homed to the pancreas from the second and third rounds of in vivo biopanning were screened against a kidney fibroblast-like cell line (COS-1) expressing prolactin receptor (PRLR) and against recombinant PRLR. CRVASV-LPC was discovered as a binding peptide and both CRVASV-LPC and CPLVSAVRC (inverse sequence of the prior peptide) peptides both bound and internalized into PRLR-expressing COS-1 cells. In vivo experiments with CRVASVLPC-phage showed the phage targeted pancreatic vasculature and islet cells, but did not accumulate in skeletal muscle, whereas a skeletal muscle-specific phage accumulated within muscle, but not in pancreatic tissue.

Yao et al. performed mouse in vivo biopanning with a disulfide-constrained 7-mer filamentous phage-displayed peptide library in combination with laser pressure catapult micro-dissection to screen for peptides which bound to vascular receptors in the pancreatic islets of Langerhans [103]. Two of the binding peptides (CVSNPRWKC and CHVLWSTRC) showed sequences with homology to ephrin A-type ligands. Confocal microscopy verified that binding of these peptide phage in vivo was localized at blood vessels in the pancreatic islets. Binding of both phage and antibodies to a receptor for ephrin-A ligands (EphA4) was significantly enhanced in blood vessels of pancreatic islet tumors in RIP-Tag2 transgenic mice, which spontaneously develop pancreatic islet tumors, indicating that endothelial cells of blood vessels in pancreatic islets preferentially express EphA4 receptors and this expression is increased in tumors.

Samli et al. reported screening a filamentous phage-displayed 20-mer peptide library on freshly excised non-diabetic rat pancreatic islets [104]. Two phage clones displaying peptides RIP1 and RIP2, LSGTPERSGQAVKVKLKAIP and GAWEAVRDRIAEWGSWGIPS, respectively, were recovered. RIP1 and RIP2 phage clones localized at rat islets in vivo and immunostaining revealed binding overlapped with insulin expression, which suggested phage clone specificity for β-cells. However, the authors noted that RIP1 phage demonstrated enhanced islet-specific accumulation compared with RIP2 phage. Furthermore, the authors tested whether RIP1 phage retained the ability to target pancreatic islets in a rat model of Type 2 diabetes (ZDF rat). RIP1 phage failed to specifically accumulate in diseased islets, which suggested that RIP1 phage could discriminate between normal and diseased islets in vivo.

4.2.2 Endothelium

Work et al. reported the in vivo biopanning of a disulfide-con-strained 7-mer M13 phage-displayed peptide library in Wistar Kyoto rats (WKY) rats [105]. After three rounds of biopanning, phage clones specifically homing to lung and brain endothelium were recovered. CVNTANSTC- and CQPEHSSTC-bearing phage targeted the lung and brain, respectively, compared with a no-peptide control phage. When displayed on the surface of adeno-associated virus (AAV), these peptides specifically target AAV delivery to the lung and brain. Furthermore, at 28 days postintravenous infusion of targeted AAV, AAV DNA and AAV-directed transgene expression of β-galactosidase was more prevalent in the tissues to which the peptide targeted the virus, compared with non-targeted AAV.

Zhang et al. screened a T7 phage-displayed disulfide-con-strained 7-mer peptide library for phage binding to mouse cardiac endothelium [106]. Three rounds of biopanning on murine cardiac cells ex vivo, in combination with recovery of phage clones bound to cardiac endothelial cells by selection with anti-CD31 magnetic beads, afforded an enriched population of phage clones that were subsequently used in in vivo biopanning. Peptide-encoding DNA from phage clones that homed to the heart were used as bait in a bacterial two-hybrid system in conjunction with a mouse heart cDNA library and several cardiac-specific protein target and receptors were identified. The biodistribution of T7 phage clones displaying the homing peptides was evaluated in vivo and most were discovered to colocalize with cardiac endothelium. The authors also validated several receptor–ligand interactions by demonstrating phage clones bound specifically to 293T cells transfected with their cognate receptor cDNA and the interactions could be inhibited by synthetic peptides. Furthermore, the authors showed that a synthetic fluorescein-conjugated CRPPR peptide, which homed to cardiac epithelium and endocaridum in vivo, co-localized with CRIP2, the cognate receptor of which was identified using bacterial two-hybrid analysis.

Kelly et al. screened a M13 phage-displayed disulfide-con-strained 7-mer peptide library on murine cardiac endothelial cells (MCECs) under physiological flow conditions and isolated a family of endothelial vascular adhesion molecule-1 (VCAM-1)-mediated cell-internalizing peptides after four rounds of biopanning [107]. One specific sequence (CVHSPNKKC), having homology to the α-chain of very late antigen (VLA), bound VCAM-1 and inhibited leukocyte–endothelial interactions. CVHSPNKKC peptide showed 12-fold enhanced fluorescent labeling of MCECs as compared with a VCAM-1 monoclonal antibody. A CVHSPNKKC-modified magnetofluorescent nanoparticle (VNP) accumulated in VCAM-1-expressing endothelial cells specifically compared with macrophages. The VNP-targeted VCAM-1-expressing endothelial cells in an inflammatory mouse model and co-localized with VCAM-1-expressing cells in atherosclerotic lesions present in cholesterol-fed apolipoprotein E ApoE-/- mice. These authors indicated that the VNP could be useful for targeted in vivo imaging of endothelial markers by MRI and fluorescence imaging and possibly for targeted therapeutic delivery.

Kelly et al. later screened a linear 7-mer filamentous phage-displayed peptide library in vivo in ApoE-/- mice for aorta plaque-binding peptides [108]. Thirty families of binding peptides were recovered and the isolated binding peptides exhibited sequence identity to VCAM-1 ligand VLA-4, leukemia inhibitory factor, transferrin receptor and several other peptides exhibited no sequence identity to known proteins. The authors synthesized a magnetofluorescent nanoparticle coated with 12 copies of the VLA-4 mimetic VHPKQHR peptide (VINP28-NP) for further evaluation. The VINP28-NP exhibited a 20-fold increase in endothelial binding to MCECs as compared to previously evaluated VNP [107]. The authors attributed the enhancement in affinity to avidity effects as higher numbers of linear peptides as compared to cyclic peptides can be incorporated onto the surface of the nanoparticles (12 linear peptides versus 4 cyclic peptides).

4.2.3 Fibrinogen and fibronectin

Pilch et al. screened a disulfide-constrained 8-mer T7 phage-displayed library for peptides that bound to human clotted plasma [109]. After three rounds of selection on clotted plasma, CGLIIQKNEC (CLT1) and CNAGESSKNC (CLT2) peptides were identified, synthesized as fluorescein conjugates and injected intravenously into mice with MDA-MB-435 xenografts and also into mice with Lewis lung carcinoma. The peptides stained tumor tissue in a pattern the authors described as a fibrillar network. The authors showed that the CLT peptides colocalized with fibrinogen and fibronectin. In fibrinogen and fibronectin knockout mice bearing B16F1 tumors, CLT peptides did not form a fibrillar network at the tumor site, which indicated CLT peptides target fibrinogen and fibronectin. Furthermore, the authors showed that CLT peptides accumulated at sites of tissue injury. The authors postulated that the peptides interact with the fibrinogen/fibronectin network caused by clotted plasma at sites of injury and vascular extravasation at tumor interstitium and could be utilized to develop reagents for targeting tumors and wounds.

5. Expert opinion and conclusion

The search for agents that can specifically target a population of cells for discriminatory drug delivery has mainly focussed on peptide and antibody-based therapeutics [3,29]. Both classes of molecules have benefits and limitations as therapeutic agents. Peptide-based therapeutics have recently received attention for having promise in the clinic due to their small size, ease of derivatization and low cost of manufacturing compared with monoclonal antibodies. However, peptide therapeutic efficacy can be limited by relatively low affinity, proteolytic degradation, potential immunogenicity and rapid renal filtration. Peptide display technology has afforded researchers plausible targeting lead structures from which effective therapeutics can be developed.

Several methods have been used to improve the pharmacodynamic properties of peptide therapeutics. Peptide stability has been enhanced by peptide cyclization, blocking of N- and C termini, use of scaffold proteins and substitution of L-amino acids with D-amino acids, unnatural amino acids and chemically modified amino acids [2,29,84,110-113]. Conjugation of the peptide to polyethylene glycol and polysialic acids has led to increased peptide half-life, stability and reduced immunogenicity [114]. Furthermore, the affinity of peptides has been improved by conducting secondary biased library screenings and peptide multimerization [48,108,115,116]. Thus, the ability of phage-displayed peptide library technology has been proved to identify peptide leads that can be engineered into efficient therapeutics and targeting moieties. A potentially useful method of developing peptides of enhanced therapeutic efficacy could involve initially screening a phage-displayed peptide library to identify targeting moieties and subsequently screening a secondary synthetic combinatorial peptide library [117], which incorporates the targeting moiety [1]. The use of secondary synthethic peptide libraries could provide additional screening flexibility through the ability to incorporate modified amino acids. We envision that this combination of library screening technology could increase the success rate of targeting peptide identification and development.

Phage-displayed peptide library technology has been used to identify peptides with targeting specificity in drug development and the technology has been extensively applied in the search of novel treatments for many human diseases and illnesses. The identified peptides have either served as leads for development into independent therapeutics or diagnostic reagent, or were manipulated to target a unique molecular entity for specific and discriminatory drug delivery. Research with the RGD and NGR tumor vasculature-targeting peptides, which were identified through phage-displayed peptide library technology, offered proof-of-principle that peptides can mediate specific in vivo delivery of therapeutics. Review of the literature published within the last 2 years yielded reports that at the least, 22 novel peptide moieties identified through peptide library technology in which in vivo targeting capacity was validated. These leads could be used directly in additional preclinical studies and with the assistance of affinity maturation and stabilization techniques, the authors envision that many of these targeting peptides will be of use in the treatment or diagnosis of disease. Furthermore, > 30 reports disclosed the identification of novel peptides, which were demonstrated in vitro to specifically target their receptors. As targeting capacity in vitro does not always equate to targeting capacity in vivo, further studies will need to be completed before these peptides can be validated as possessing targeting potential.

In the authors' opinion, phage-displayed peptide library technology will increasingly become a more integral part of drug development in the near future as novel disease markers are identified and applications of phage display technologies are expanded. Protein interactions mediate many biologic processes and, therefore, it is rational to believe that new interactions in disease progression could be identified and/or manipulated using phage display technology. Presently, most peptide-based therapeutics target cell surface proteins and receptors. However, recently cell-penetrating peptides and protein transduction domains have been discovered and could be utilized to initiate screening for intracellularlly-focussed peptide therapeutics. Phage display technology could be developed to contribute significantly in developing organelle-specific therapeutics. In addition, phage display technology has only recently been used in human in vivo biopanning, with the first clinical trial results reported in 2006. Having demonstrated clinical safety, we envision that peptides identified through phage display technology could be used in vivo to diagnose, confirm and possibly to customize patient-specific therapeutics.

Acknowledgments

The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the US Government.

This Research was supported (in part) by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research.

Bibliography

  • 1.Krumpe LR, Mori T. The use of phage-displayed peptide libraries to develop tumor-targeting drugs. Int J Peptide Res Ther. 2006;12(1):79–91. doi: 10.1007/s10989-005-9002-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Mori T. Cancer-specific ligands identified from screening of peptide-display libraries. Curr Pharm Des. 2004;10(19):2335–2343. doi: 10.2174/1381612043383944. [DOI] [PubMed] [Google Scholar]
  • 3.Brissette R, Prendergast JK, Goldstein NI. Identification of cancer targets and therapeutics using phage display. Curr Opin Drug Discov Dev. 2006;9(3):363–369. [PubMed] [Google Scholar]
  • 4.Rowley MJ, O'Connor K, Wijeyewickrema L. Phage display for epitope determination: a paradigm for identifying receptor–ligand interactions. Biotechnol Ann Rev. 2004;10:151–188. doi: 10.1016/S1387-2656(04)10006-9. [DOI] [PubMed] [Google Scholar]
  • 5.Mullen LM, Nair SP, Ward JM, Rycroft AN, Henderson B. Phage display in the study of infectious diseases. Trends Microbiol. 2006;14(3):141–147. doi: 10.1016/j.tim.2006.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Fan Q, Leuther KK, Holmes CP, et al. Preclinical evaluation of Hematide, a novel erythropoiesis stimulating agent, for the treatment of anemia. Exp Hematol. 2006;34(10):1303–1311. doi: 10.1016/j.exphem.2006.05.012. [DOI] [PubMed] [Google Scholar]
  • 7.Wark PA. DX-890 (Dyax) IDrugs. 2002;5(6):586–589. [PubMed] [Google Scholar]
  • 8.Oliner J, Min H, Leal J, et al. Suppression of angiogenesis and tumor growth by selective inhibition of angiopoietin-2. Cancer Cell. 2004;6(5):507–516. doi: 10.1016/j.ccr.2004.09.030. [DOI] [PubMed] [Google Scholar]
  • 9.Bussel JB, Kuter DJ, George JN, et al. AMG 531, a thrombopoiesis-stimulating protein, for chronic ITP. N Engl J Med. 2006;355(16):1672–1681. doi: 10.1056/NEJMoa054626. [DOI] [PubMed] [Google Scholar]
  • 10.Salmon SE, Lam KS, Felder S, et al. One bead, one chemical compound: use of the selectide process for anticancer drug discovery. Acta Oncol. 1994;33(2):127–131. doi: 10.3109/02841869409098395. [DOI] [PubMed] [Google Scholar]
  • 11.Chen X, Gambhir SS. Significance of one-bead-one-compound combinational chemistry. Nat Chem Biol. 2006;2(7):351–352. doi: 10.1038/nchembio0706-351. [DOI] [PubMed] [Google Scholar]
  • 12.Lam KS, Lebl M, Krchnak V. The ‘one-bead-one-compound’ combinatorial library method. Chem Rev. 1997;97(2):411–448. doi: 10.1021/cr9600114. [DOI] [PubMed] [Google Scholar]
  • 13.Wilson DS, Keefe AD, Szostak JW. The use of mRNA display to select high-affinity protein-binding peptides. Proc Natl Acad Sci USA. 2001;98(7):3750–3755. doi: 10.1073/pnas.061028198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Nemoto N, MIYAMOTO-Sato E, Husimi Y, Yanagawa H. In vitro virus: bonding of mrna bearing puromycin at the 3′-terminal end to the C-terminal end of its encoded protein on the ribosome in vitro. FEBS Lett. 1997;414(2):405–408. doi: 10.1016/s0014-5793(97)01026-0. [DOI] [PubMed] [Google Scholar]
  • 15.Roberts RW, Szostak JW. RNA-peptide fusions for the in vitro selection of peptides and proteins. Proc Natl Acad Sci USA. 1997;94(23):12297–12302. doi: 10.1073/pnas.94.23.12297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Yonezawa M, Doi N, Kawahashi Y, Higashinakagawa T, Yanagawa H. DNA display for in vitro selection of diverse peptide libraries. Nucleic Acids Res. 2003;31(19):e118. doi: 10.1093/nar/gng119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Mattheakis LC, Bhatt RR, Dower WJ. An in vitro polysome display system for identifying ligands from very large peptide libraries. Proc Natl Acad Sci USA. 1994;91(19):9022–9026. doi: 10.1073/pnas.91.19.9022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Hanes J, Pluckthun A. In vitro selection and evolution of functional proteins by using ribosome display. Proc Natl Acad Sci USA. 1997;94(10):4937–4942. doi: 10.1073/pnas.94.10.4937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Lamla T, Erdmann VA. Searching sequence space for high-affinity binding peptides using ribosome display. J Mol Biol. 2003;329(2):381–388. doi: 10.1016/s0022-2836(03)00432-7. [DOI] [PubMed] [Google Scholar]
  • 20.Bessette PH, Rice JJ, Daugherty PS. Rapid isolation of high-affinity protein binding peptides using bacterial display. Prot Eng Des Sel. 2004;17(10):731–739. doi: 10.1093/protein/gzh084. [DOI] [PubMed] [Google Scholar]
  • 21.Rice JJ, Schohn A, Bessette PH, Boulware KT, Daugherty PS. Bacterial display using circularly permuted outer membrane protein OmpX yields high affinity peptide ligands. Protein Sci. 2006;15(4):825–836. doi: 10.1110/ps.051897806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lu Z, Murray KS, Van Cleave V, et al. Expression of thioredoxin random peptide libraries on the Escherichia coli cell surface as functional fusions to flagellin: a system designed for exploring protein-protein interactions. Biotechnology (N Y) 1995;13(4):366–372. doi: 10.1038/nbt0495-366. [DOI] [PubMed] [Google Scholar]
  • 23.Waterkamp DA, Muller OJ, Ying Y, Trepel M, Kleinschmidt JA. Isolation of targeted AAV2 vectors from novel virus display libraries. J Gene Med. 2006;8(11):1307–1319. doi: 10.1002/jgm.967. [DOI] [PubMed] [Google Scholar]
  • 24.Muller OJ, Kaul F, Weitzman MD, et al. Random peptide libraries displayed on adeno-associated virus to select for targeted gene therapy vectors. Nat Biotechnol. 2003;21(9):1040–1046. doi: 10.1038/nbt856. [DOI] [PubMed] [Google Scholar]
  • 25.Makela AR, Oker-Blom C. Baculovirus display: a multifunctional technology for gene delivery and eukaryotic library development. Adv Virus Res. 2006;68:91–112. doi: 10.1016/S0065-3527(06)68003-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Scott JK, Smith GP. Searching for peptide ligands with an epitope library. Science. 1990;249(4967):386–390. doi: 10.1126/science.1696028. [DOI] [PubMed] [Google Scholar]
  • 27.Devlin JJ, Panganiban LC, Devlin PE. Random peptide libraries: a source of specific protein binding molecules. Science. 1990;249(4967):404–406. doi: 10.1126/science.2143033. [DOI] [PubMed] [Google Scholar]
  • 28.Smith GP. Filamentous fusion phage: novel expression vectors that display cloned antigens on the virion surface. Science. 1985;228(4705):1315–1317. doi: 10.1126/science.4001944. [DOI] [PubMed] [Google Scholar]
  • 29.Ladner RC, Sato AK, Gorzelany J, De Souza M. Phage display-derived peptides as therapeutic alternatives to antibodies. Drug Discov Today. 2004;9(12):525–529. doi: 10.1016/S1359-6446(04)03104-6. [DOI] [PubMed] [Google Scholar]
  • 30.Mori T. Cancer-specific ligands identified from screening of peptide-display libraries. Curr Pharm Des. 2004;10(19):2335–2343. doi: 10.2174/1381612043383944. [DOI] [PubMed] [Google Scholar]
  • 31.Szardenings M. Phage display of random peptide libraries: applications, limits, and potential. J Recept Signal Transduct Res. 2003;23(4):307–349. doi: 10.1081/rrs-120026973. [DOI] [PubMed] [Google Scholar]
  • 32.Ruoslahti E, Duza T, Zhang L. Vascular homing peptides with cell-penetrating properties. Curr Pharm Des. 2005;11(28):3655–3660. doi: 10.2174/138161205774580787. [DOI] [PubMed] [Google Scholar]
  • 33.Paschke M. Phage display systems and their applications. Appl Microbiol Biotechnol. 2006;70(1):2–11. doi: 10.1007/s00253-005-0270-9. [DOI] [PubMed] [Google Scholar]
  • 34.Kehoe JW, Kay BK. Filamentous phage display in the new millennium. Chem Rev. 2005;105(11):4056–4072. doi: 10.1021/cr000261r. [DOI] [PubMed] [Google Scholar]
  • 35.Rodi DJ, Soares AS, Makowski L. Quantitative assessment of peptide sequence diversity in M13 combinatorial peptide phage display libraries. J Mol Biol. 2002;322(5):1039–1052. doi: 10.1016/s0022-2836(02)00844-6. [DOI] [PubMed] [Google Scholar]
  • 36.Krumpe LR, Atkinson AJ, Smythers GW, et al. T7 lytic phage-displayed peptide libraries exhibit less sequence bias than M13 filamentous phage-displayed peptide libraries. Proteomics. 2006;6(15):4210–4222. doi: 10.1002/pmic.200500606. [DOI] [PubMed] [Google Scholar]
  • 37.Zucconi A, Dente L, Santonico E, Castagnoli L, Cesareni G. Selection of ligands by panning of domain libraries displayed on phage lambda reveals new potential partners of synaptojanin 1. J Mol Biol. 2001;307(5):1329–1339. doi: 10.1006/jmbi.2001.4572. [DOI] [PubMed] [Google Scholar]
  • 38.Lindqvist BH, Naderi S. Peptide presentation by bacteriophage P4. FEMS Microbiol Rev. 1995;17(12):33–39. doi: 10.1111/j.1574-6976.1995.tb00185.x. [DOI] [PubMed] [Google Scholar]
  • 39.Garufi G, Minenkova O, Lo Passo C, Pernice I, Felici F. Display libraries on bacteriophage lambda capsid. Biotechnol Ann Rev. 2005;11:153–190. doi: 10.1016/S1387-2656(05)11005-9. [DOI] [PubMed] [Google Scholar]
  • 40.Liang S, Lin T, Ding J, et al. Screening and identification of vascular-endothelial-cell-specific binding peptide in gastric cancer. J Mol Med. 2006;84(9):764–773. doi: 10.1007/s00109-006-0064-2. [DOI] [PubMed] [Google Scholar]
  • 41.Bratkovic T, Lunder M, Popovic T, et al. Affinity selection to papain yields potent peptide inhibitors of cathepsins L, B, H, and K. Biochem Biophys Res Commun. 2005;332(3):897–903. doi: 10.1016/j.bbrc.2005.05.028. [DOI] [PubMed] [Google Scholar]
  • 42.Aggarwal S, Harden JL, Denmeade SR. Synthesis and screening of a random dimeric peptide library using the one-bead-one-dimer combinatorial approach. Bioconjug Chem. 2006;17(2):335–340. doi: 10.1021/bc0502659. [DOI] [PubMed] [Google Scholar]
  • 43.Ding H, Prodinger WM, Kopecek J. Two-step fluorescence screening of CD21-binding peptides with one-bead one-compound library and investigation of binding properties of N-(2-hydroxypropyl)methacrylamide copolymer-peptide conjugates. Biomacromolecules. 2006;7(11):3037–3046. doi: 10.1021/bm060508f. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Koolpe M, Burgess R, Dail M, Pasquale EB. EphB receptor-binding peptides identified by phage display enable design of an antagonist with ephrin-like affinity. J Biol Chem. 2005;280(17):17301–17311. doi: 10.1074/jbc.M500363200. [DOI] [PubMed] [Google Scholar]
  • 45.Hekim C, Leinonen J, Narvanen A, et al. Novel peptide inhibitors of human kallikrein 2. J Biol Chem. 2006;281(18):12555–12560. doi: 10.1074/jbc.M600014200. [DOI] [PubMed] [Google Scholar]
  • 46.Garces CA, Kurenova EV, Golubovskaya VM, Cance WG. Vascular endothelial growth factor receptor-3 and focal adhesion kinase bind and suppress apoptosis in breast cancer cells. Cancer Res. 2006;66(3):1446–1454. doi: 10.1158/0008-5472.CAN-05-1661. [DOI] [PubMed] [Google Scholar]
  • 47.Ding H, Prodinger WM, Kopecek J. Identification of CD21-binding peptides with phage display and investigation of binding properties of HPMA copolymer-peptide conjugates. Bioconjug Chem. 2006;17(2):514–523. doi: 10.1021/bc0503162. [DOI] [PubMed] [Google Scholar]
  • 48.Li B, Russell SJ, Compaan DM, et al. Activation of the proapoptotic death receptor DR5 by oligomeric peptide and antibody agonists. J Mol Biol. 2006;361(3):522–536. doi: 10.1016/j.jmb.2006.06.042. [DOI] [PubMed] [Google Scholar]
  • 49.Chang CY, Abdo J, Hartney T, Mcdonnell DP. Development of peptide antagonists for the androgen receptor using combinatorial peptide phage display. Mol Endocrinol. 2005;19(10):2478–2490. doi: 10.1210/me.2005-0072. [DOI] [PubMed] [Google Scholar]
  • 50.Pond CD, Marshall KM, Barrows LR. Identification of a small topoisomerase I-binding peptide that has synergistic antitumor activity with 9-aminocamptothecin. Mol Cancer Ther. 2006;5(3):739–745. doi: 10.1158/1535-7163.MCT-05-0377. [DOI] [PubMed] [Google Scholar]
  • 51.Bikkavilli RK, Tsang SY, Tang WM, et al. Identification and characterization of surrogate peptide ligand for orphan G protein-coupled receptor mas using phage-displayed peptide library. Biochem Pharmacol. 2006;71(3):319–337. doi: 10.1016/j.bcp.2005.10.050. [DOI] [PubMed] [Google Scholar]
  • 52.Oyama T, Rombel IT, Samli KN, Zhou X, Brown KC. Isolation of multiple cell-binding ligands from different phage displayed-peptide libraries. Biosens Bioelectron. 2006;21(10):1867–1875. doi: 10.1016/j.bios.2005.11.016. [DOI] [PubMed] [Google Scholar]
  • 53.Aina OH, Marik J, Liu R, Lau DH, Lam KS. Identification of novel targeting peptides for human ovarian cancer cells using ‘one-bead one-compound’ combinatorial libraries. Mol Cancer Ther. 2005;4(5):806–813. doi: 10.1158/1535-7163.MCT-05-0029. [DOI] [PubMed] [Google Scholar]
  • 54.Dane KY, Chan LA, Rice JJ, Daugherty PS. Isolation of cell specific peptide ligands using fluorescent bacterial display libraries. J Immunol Methods. 2006;309(12):120–129. doi: 10.1016/j.jim.2005.11.021. [DOI] [PubMed] [Google Scholar]
  • 55.Shukla GS, Krag DN. Selection of tumor-targeting agents on freshly excised human breast tumors using a phage display library. Oncol Rep. 2005;13(4):757–764. [PubMed] [Google Scholar]
  • 56.Kim Y, Lillo AM, Steiniger SC, et al. Targeting heat shock proteins on cancer cells: selection, characterization, and cell-penetrating properties of a peptidic GRP78 ligand. Biochemistry. 2006;45(31):9434–9444. doi: 10.1021/bi060264j. [DOI] [PubMed] [Google Scholar]
  • 57.Kolonin MG, Bover L, Sun J, et al. Ligand-directed surface profiling of human cancer cells with combinatorial peptide libraries. Cancer Res. 2006;66(1):34–40. doi: 10.1158/0008-5472.CAN-05-2748. [DOI] [PubMed] [Google Scholar]
  • 58.Makela AR, Matilainen H, White DJ, Ruoslahti E, Oker-Blom C. Enhanced baculovirus-mediated transduction of human cancer cells by tumor-homing peptides. J Virol. 2006;80(13):6603–6611. doi: 10.1128/JVI.00528-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Wang FY, Zhang TY, Luo JX, et al. Selection of CC chemokine receptor 5-binding peptide from a phage display peptide library. Biosci Biotechnol Biochem. 2006;70(9):2035–2041. doi: 10.1271/bbb.50654. [DOI] [PubMed] [Google Scholar]
  • 60.Vyroubalova EC, Hartley O, Mermod N, Fisch I. Identification of peptide ligands to the chemokine receptor CCR5 and their maturation by gene shuffling. Mol Immunol. 2006;43(10):1573–1578. doi: 10.1016/j.molimm.2005.09.025. [DOI] [PubMed] [Google Scholar]
  • 61.Robinson P, Stuber D, Deryckere F, et al. Identification using phage display of peptides promoting targeting and internalization into HPV-transformed cell lines. J Mol Recognit. 2005;18(2):175–182. doi: 10.1002/jmr.723. [DOI] [PubMed] [Google Scholar]
  • 62.Lunder M, Bratkovic T, Kreft S, Strukelj B. Peptide inhibitor of pancreatic lipase selected by phage display using different elution strategies. J Lipid Res. 2005;46(7):1512–1516. doi: 10.1194/jlr.M500048-JLR200. [DOI] [PubMed] [Google Scholar]
  • 63.De J, Chang YC, Samli KN, et al. Isolation of a mycoplasma-specific binding peptide from an unbiased phage-displayed peptide library. Mol Biosyst. 2005;1(2):149–157. doi: 10.1039/b504572j. [DOI] [PubMed] [Google Scholar]
  • 64.Kim YG, Lee CS, Chung WJ, et al. Selection of peptides for lipopolysaccharide binding on to epoxy beads and selective detection of Gram-negative bacteria. Biotechnol Lett. 2006;28(2):79–84. doi: 10.1007/s10529-005-4950-4. [DOI] [PubMed] [Google Scholar]
  • 65.Nishikawa K, Watanabe M, Kita E, et al. A multivalent peptide library approach identifies a novel Shiga toxin inhibitor that induces aberrant cellular transport of the toxin. Faseb J. 2006 doi: 10.1096/fj.06-6572fje. Epub ahead of print. [DOI] [PubMed] [Google Scholar]
  • 66.Pini A, Giuliani A, Falciani C, et al. Antimicrobial activity of novel dendrimeric peptides obtained by phage display selection and rational modification. Antimicrob Agents Chemother. 2005;49(7):2665–2672. doi: 10.1128/AAC.49.7.2665-2672.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Eda K, Eda S, Sherman IW. Identification of peptides targeting the surface of Plasmodium falciparum-infected erythrocytes using a phage display peptide library. Am J Trop Med Hyg. 2004;71(2):190–195. [PubMed] [Google Scholar]
  • 68.Kitagawa M, Goto D, Mamura M, et al. Identification of three novel peptides that inhibit CD40–CD154 interaction. Mod Rheumatol. 2005;15(6):423–426. doi: 10.1007/s10165-005-0442-6. [DOI] [PubMed] [Google Scholar]
  • 69.White SJ, Simmonds RE, Lane DA, Baker AH. Efficient isolation of peptide ligands for the endothelial cell protein C receptor (EPCR) using candidate receptor phage display biopanning. Peptides. 2005;26(7):1264–1269. doi: 10.1016/j.peptides.2005.01.015. [DOI] [PubMed] [Google Scholar]
  • 70.Amemiya K, Nakatani T, Saito A, Suzuki A, Munakata H. Hyaluronan-binding motif identified by panning a random peptide display library. Biochim Biophys Acta. 2005;1724(12):94–99. doi: 10.1016/j.bbagen.2005.04.029. [DOI] [PubMed] [Google Scholar]
  • 71.Orner BP, Liu L, Murphy RM, Kiessling LL. Phage display affords peptides that modulate beta-amyloid aggregation. J Am Chem Soc. 2006;128(36):11882–11889. doi: 10.1021/ja0619861. [DOI] [PubMed] [Google Scholar]
  • 72.Berntzen G, Brekke OH, Mousavi SA, et al. Characterization of an FcgammaRI-binding peptide selected by phage display. Prot Eng Des Sel. 2006;19(3):121–128. doi: 10.1093/protein/gzj011. [DOI] [PubMed] [Google Scholar]
  • 73.Arap W, Kolonin MG, Trepel M, et al. Steps toward mapping the human vasculature by phage display. Nat Med. 2002;8(2):121–127. doi: 10.1038/nm0202-121. [DOI] [PubMed] [Google Scholar]
  • 74.Krag DN, Fuller SP, Oligino L, et al. Phage-displayed random peptide libraries in mice: toxicity after serial panning. Cancer Chemother Pharmacol. 2002;50(4):325–332. doi: 10.1007/s00280-002-0489-4. [DOI] [PubMed] [Google Scholar]
  • 75.Krag DN, Shukla GS, Shen GP, et al. Selection of tumor-binding ligands in cancer patients with phage display libraries. Cancer Res. 2006;66(15):7724–7733. doi: 10.1158/0008-5472.CAN-05-4441. [DOI] [PubMed] [Google Scholar]
  • 76.Samoylova TI, Morrison NE, Globa LP, Cox NR. Peptide phage display: opportunities for development of personalized anti-cancer strategies. Anti-Cancer Agents Med Chem. 2006;6(1):9–17. doi: 10.2174/187152006774755492. [DOI] [PubMed] [Google Scholar]
  • 77.Zou J, Dickerson MT, Owen NK, Landon LA, Deutscher SL. Biodistribution of filamentous phage peptide libraries in mice. Mol Biol Rep. 2004;31(2):121–129. doi: 10.1023/b:mole.0000031459.14448.af. [DOI] [PubMed] [Google Scholar]
  • 78.Zhang J, Spring H, Schwab M. Neuroblastoma tumor cell-binding peptides identified through random peptide phage display. Cancer Lett. 2001;171(2):153–164. doi: 10.1016/s0304-3835(01)00575-4. [DOI] [PubMed] [Google Scholar]
  • 79.Askoxylakis V, Zitzmann S, Mier W, et al. Preclinical evaluation of the breast cancer cell-binding peptide, p160. Clin Cancer Res. 2005;11(18):6705–6712. doi: 10.1158/1078-0432.CCR-05-0432. [DOI] [PubMed] [Google Scholar]
  • 80.Akita N, Maruta F, Seymour LW, et al. Identification of oligopeptides binding to peritoneal tumors of gastric cancer. Cancer Sci. 2006;97(10):1075–1081. doi: 10.1111/j.1349-7006.2006.00291.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Li Z, Zhao R, Wu X, et al. Identification and characterization of a novel peptide ligand of epidermal growth factor receptor for targeted delivery of therapeutics. FASEB J. 2005;19(14):1978–1985. doi: 10.1096/fj.05-4058com. [DOI] [PubMed] [Google Scholar]
  • 82.Jiang YQ, Wang HR, Li HP, et al. Targeting of hepatoma cell and suppression of tumor growth by a novel 12mer peptide fused to superantigen TSST-1. Mol Med. 2006 doi: 10.2119/2006-00011.Jiang. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Du B, Qian M, Zhou Z, et al. In vitro panning of a targeting peptide to hepatocarcinoma from a phage display peptide library. Biochem Biophys Res Commun. 2006;342(3):956–962. doi: 10.1016/j.bbrc.2006.02.050. [DOI] [PubMed] [Google Scholar]
  • 84.Peng L, Liu R, Marik J, et al. Combinatorial chemistry identifies high-affinity peptidomimetics against alpha4beta1 integrin for in vivo tumor imaging. Nat Chem Biol. 2006;2(7):381–389. doi: 10.1038/nchembio798. [DOI] [PubMed] [Google Scholar]
  • 85.Lam KS, Salmon SE, Hersh EM, et al. A new type of synthetic peptide library for identifying ligand-binding activity. Nature. 1991;354(6348):82–84. doi: 10.1038/354082a0. [DOI] [PubMed] [Google Scholar]
  • 86.Bockmann M, Drosten M, Putzer BM. Discovery of targeting peptides for selective therapy of medullary thyroid carcinoma. J Gene Med. 2005;7(2):179–188. doi: 10.1002/jgm.648. [DOI] [PubMed] [Google Scholar]
  • 87.Bockmann M, Hilken G, Schmidt A, et al. Novel SRESPHP peptide mediates specific binding to primary medullary thyroid carcinoma after systemic injection. Hum Gene Ther. 2005;16(11):1267–1275. doi: 10.1089/hum.2005.16.1267. [DOI] [PubMed] [Google Scholar]
  • 88.Eriksson F, Culp WD, Massey R, et al. Tumor specific phage particles promote tumor regression in a mouse melanoma model. Cancer Immunol Immunother. 2006 doi: 10.1007/s00262-006-0227-6. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Tanaka S, Pero SC, Taguchi K, et al. Specific peptide ligand for Grb7 signal transduction protein and pancreatic cancer metastasis. J Natl Cancer Inst. 2006;98(7):491–498. doi: 10.1093/jnci/djj105. [DOI] [PubMed] [Google Scholar]
  • 90.Pero SC, Oligino L, Daly RJ, et al. Identification of novel non-phosphorylated ligands, which bind selectively to the SH2 domain of Grb7. J Biol Chem. 2002;277(14):11918–11926. doi: 10.1074/jbc.M111816200. [DOI] [PubMed] [Google Scholar]
  • 91.Huang C, Liu XY, Rehemtulla A, Lawrence TS. Identification of peptides that bind to irradiated pancreatic tumor cells. Int J Radiat Oncol Biol Phys. 2005;62(5):1497–1503. doi: 10.1016/j.ijrobp.2005.04.018. [DOI] [PubMed] [Google Scholar]
  • 92.Newton JR, Kelly KA, Mahmood U, Weissleder R, Deutscher SL. In vivo selection of phage for the optical imaging of PC-3 human prostate carcinoma in mice. Neoplasia. 2006;8(9):772–780. doi: 10.1593/neo.06331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Zitzmann S, Kramer S, Mier W, et al. Identification of a new prostate-specific cyclic peptide with the bacterial FliTrx system. J Nucl Med. 2005;46(5):782–785. [PubMed] [Google Scholar]
  • 94.Zitzmann S, Mier W, Schad A, et al. A new prostate carcinoma binding peptide (DUP-1) for tumor imaging and therapy. Clin Cancer Res. 2005;11(1):139–146. [PubMed] [Google Scholar]
  • 95.Arap W, Pasqualini R, Ruoslahti E. Cancer treatment by targeted drug delivery to tumor vasculature in a mouse model. Science. 1998;279(5349):377–380. doi: 10.1126/science.279.5349.377. [DOI] [PubMed] [Google Scholar]
  • 96.Pasqualini R, Koivunen E, Kain R, et al. Aminopeptidase N is a receptor for tumor-homing peptides and a target for inhibiting angiogenesis. Cancer Res. 2000;60(3):722–727. [PMC free article] [PubMed] [Google Scholar]
  • 97.Koivunen E, Gay DA, Ruoslahti E. Selection of peptides binding to the α5β1 integrin from phage display library. J Biol Chem. 1993;268(27):20205–20210. [PubMed] [Google Scholar]
  • 98.Dunehoo AL, Anderson M, Majumdar S, et al. Cell adhesion molecules for targeted drug delivery. J Pharm Sci. 2006;95(9):1856–1872. doi: 10.1002/jps.20676. [DOI] [PubMed] [Google Scholar]
  • 99.Curnis F, Gasparri A, Sacchi A, et al. Targeted delivery of IFNgamma to tumor vessels uncouples antitumor from counterregulatory mechanisms. Cancer Res. 2005;65(7):2906–2913. doi: 10.1158/0008-5472.CAN-04-4282. [DOI] [PubMed] [Google Scholar]
  • 100.Curnis F, Sacchi A, Borgna L, et al. Enhancement of tumor necrosis factor alpha antitumor immunotherapeutic properties by targeted delivery to aminopeptidase N (CD13) Nat Biotechnol. 2000;18(11):1185–1190. doi: 10.1038/81183. [DOI] [PubMed] [Google Scholar]
  • 101.Sacchi A, Gasparri A, GALLO-Stampino C, et al. Synergistic antitumor activity of cisplatin, paclitaxel, and gemcitabine with tumor vasculature-targeted tumor necrosis factor-alpha. Clin Cancer Res. 2006;12(1):175–182. doi: 10.1158/1078-0432.CCR-05-1147. [DOI] [PubMed] [Google Scholar]
  • 102.Kolonin MG, Sun J, Do KA, et al. Synchronous selection of homing peptides for multiple tissues by in vivo phage display. FASEB J. 2006;20(7):979–981. doi: 10.1096/fj.05-5186fje. [DOI] [PubMed] [Google Scholar]
  • 103.Yao VJ, Ozawa MG, Trepel M, et al. Targeting pancreatic islets with phage display assisted by laser pressure catapult microdissection. Am J Pathol. 2005;166(2):625–636. doi: 10.1016/S0002-9440(10)62283-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Samli KN, Mcguire MJ, Newgard CB, Johnston SA, Brown KC. Peptide-mediated targeting of the islets of Langerhans. Diabetes. 2005;54(7):2103–2108. doi: 10.2337/diabetes.54.7.2103. [DOI] [PubMed] [Google Scholar]
  • 105.Work LM, Buning H, Hunt E, et al. Vascular bed-targeted in vivo gene delivery using tropism-modified adeno-associated viruses. Mol Ther. 2006;13(4):683–693. doi: 10.1016/j.ymthe.2005.11.013. [DOI] [PubMed] [Google Scholar]
  • 106.Zhang L, Hoffman JA, Ruoslahti E. Molecular profiling of heart endothelial cells. Circulation. 2005;112(11):1601–1611. doi: 10.1161/CIRCULATIONAHA.104.529537. [DOI] [PubMed] [Google Scholar]
  • 107.Kelly KA, Allport JR, Tsourkas A, et al. Detection of vascular adhesion molecule-1 expression using a novel multimodal nanoparticle. Circ Res. 2005;96(3):327–336. doi: 10.1161/01.RES.0000155722.17881.dd. [DOI] [PubMed] [Google Scholar]
  • 108.Kelly KA, Nahrendorf M, Yu AM, Reynolds F, Weissleder R. In vivo phage display selection yields atherosclerotic plaque targeted peptides for imaging. Mol Imaging Biol. 2006;8(4):201–207. doi: 10.1007/s11307-006-0043-6. [DOI] [PubMed] [Google Scholar]
  • 109.Pilch J, Brown DM, Komatsu M, et al. Peptides selected for binding to clotted plasma accumulate in tumor stroma and wounds. Proc Natl Acad Sci USA. 2006;103(8):2800–2804. doi: 10.1073/pnas.0511219103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Aina OH, Sroka TC, Chen ML, Lam KS. Therapeutic cancer targeting peptides. Biopolymers. 2002;66(3):184–199. doi: 10.1002/bip.10257. [DOI] [PubMed] [Google Scholar]
  • 111.Muranaka N, Hohsaka T, Sisido M. Four-base codon mediated mRNA display to construct peptide libraries that contain multiple nonnatural amino acids. Nucleic Acids Res. 2006;34(1):e7. doi: 10.1093/nar/gnj003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Tian F, Tsao ML, Schultz PG. A phage display system with unnatural amino acids. J Am Chem Soc. 2004;126(49):15962–15963. doi: 10.1021/ja045673m. [DOI] [PubMed] [Google Scholar]
  • 113.Borghouts C, Kunz C, Groner B. Peptide aptamers: recent developments for cancer therapy. Expert Opin Biol Ther. 2005;5(6):783–797. doi: 10.1517/14712598.5.6.783. [DOI] [PubMed] [Google Scholar]
  • 114.Gregoriadis G, Jain S, Papaioannou I, Laing P. Improving the therapeutic efficacy of peptides and proteins: a role for polysialic acids. Int J Pharm. 2005;300(12):125–130. doi: 10.1016/j.ijpharm.2005.06.007. [DOI] [PubMed] [Google Scholar]
  • 115.Landon LA, Deutscher SL. Combinatorial discovery of tumor targeting peptides using phage display. J Cell Biochem. 2003;90(3):509–517. doi: 10.1002/jcb.10634. [DOI] [PubMed] [Google Scholar]
  • 116.Fleming TJ, Sachdeva M, Delic M, et al. Discovery of high-affinity peptide binders to BLys by phage display. J Mol Recognit. 2005;18(1):94–102. doi: 10.1002/jmr.722. [DOI] [PubMed] [Google Scholar]
  • 117.Eichler J. Synthetic peptide arrays and peptide combinatorial libraries for the exploration of protein-ligand interactions and the design of protein inhibitors. Comb Chem High Throughput Screen. 2005;8(2):135–143. doi: 10.2174/1386207053258497. [DOI] [PubMed] [Google Scholar]

RESOURCES