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Screening and identification of a novel target specific for hepatoma cell line HepG2 from the FliTrx bacterial peptide library

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Acta Biochim Biophys

Sin 2008, 40: 443-451

doi:10.1111/j.1745-7270.2008.00412.x

Screening and identification

of a novel target specific for hepatoma cell line HepG2 from the FliTrx

bacterial peptide library

Wenhan Li1,2#, Ping Lei1#, Bing Yu1,

Sha Wu1, Jilin Peng1,

Xiaoping Zhao1, Huifen Zhu1,

Michael Kirschfink2, and Guanxin Shen1*

1

Department of

Immunology, Tongji Medical College, Huazhong University of Science and

Technology, Wuhan 430030, China

2

Institute of Immunology,

University of Heidelberg, 69120 Heidelberg, Germany

Received: December

15, 2007       

Accepted: March 5,

2008

This work was

supported by the grants from the Hi-tech research

and development program of China (No. 2006AA02Z158) and

the Science Foundation of the Ministry of Education of China (No. 20060487024)

# These authors

contributed equally to this work

*Corresponding

author: Tel, 86-27-83692611; E-mail, guanxin_shen [email protected]

To explore

new targets for hepatoma research, we used a surface display library to screen

novel tumor cell-specific peptides. The bacterial FliTrx system was screened

with living normal liver cell line L02 and hepatoma cell line HepG2

successively to search for hepatoma-specific peptides. Three clones (Hep1,

Hep2, and Hep3) were identified to be specific to HepG2 compared with L02 and

other cancer cell lines. Three-dimensional structural prediction proved that

peptides inserted into the active site of Escherichia coli thioredoxin

(TrxA) formed certain loop structures protruding out of the surface. Western blot

analysis showed that FliC/TrxA-peptide fusion proteins could be directly used

to detect HepG2 cells. Three different FliC/TrxA-peptide fusion proteins

targeted the same molecule, at approximately 140 kDa, on HepG2 cells. This work

presented for the first time the application of the FliTrx library in screening

living cells. Three peptides were obtained that could be potential candidates

for targeted liver cancer therapy.

Keywords    tumor target; hepatoma; bacterial

display; FliTrx system; counter-screening; living-cell panning; 3-D mode­ling

Estimates from the year 2000 indicate that liver cancer remains the

fifth most common malignancy in men and the eighth most common in women worldwide,

burdened by a constantly increasing frequency. This tumor accounted for 5.6% of

all human cancers (7.5% among men and 3.5% among women) [1,2]. The main obstacles to improving control and treatment of hepatoma

are the lack of biomarkers for early diagnosis [3] and selective delivery of

chemotherapeutic drugs into the tumor cells in vivo [4].Phage display technology is a very powerful tool for the

identification of critical amino acids responsible for protein-protein

interaction and the discovery of new therapeutic targets [5,6]. In the current

study, we chose a bacterial peptide library, the FliTrx Escherichia coli

thioredoxin (TrxA) scaffold random peptide library, which has been widely used

to identify conformationally constrained dodecamer peptide sequences

specifically recognized by soluble proteins, such as monoclonal antibodies

[7,8]. The FliTrx peptide library has an estimated diversity of 1.77108 different random dodecamer loop sequences and does not contain any

predefined structural motif. Thus, novel peptide sequences could be identified

in this library that mimic the functions of protein domains found in nature

[9]. In this flagella display library, peptides are directly displayed on the

surface of E. coli fused with two proteins, the major bacterial

flagellar protein (FliC) and TrxA. Various dodecapeptides are inserted within

the active loop of TrxA, and the fusion protein forms a stable protrusion from

the bacterial cell surface with the help of bacterial flagella [10,11]. We

wanted to identify FliTrx peptides specifically targeting tumor cells, not only

to investigate target molecules, but also to deliver drugs into malignant

tissues. We identified three FliTrx peptides from the bacterial random

library that are specific for hepatoma cell line HepG2 and do not bind to other

cancer cell lines or normal liver cells. Results of structure prediction

suggested that TrxA-peptide fusion proteins based on the TrxA active site might

be more valuable than linear peptides themselves. Immune blotting results

further proved that FliC/TrxA-peptide fusion proteins could be used to detect

HepG2 cells and indicate a novel target molecule on these cells.

Materials and Methods

Cell culture

Human hepatoma cell line HepG2 and human liver cell line L02 (both

cell lines were maintained in our laboratory) were cultured in RPMI 1640

(Gibco, Carlsbad, USA) supplemented with 10% (V/V) fetal bovine

serum (Gibco) at 37 ?C in a 5% CO2 incubator.

Selection of HepG2

cell-binding peptides

The FliTrx random peptide display library (Invitrogen, Carlsbad,

USA) containing 1.77108 primary clones was used to

identify specific HepG2 cell-binding peptides incorporating negative selection

using the normal liver cell line L02.Bacteria were treated according to the manufacturer’s instructions.

The bacterial cells were diluted 10-fold in IMC medium (1 M9 salts, 0.2%

casamino acids, 0.5% glucose, 1 mM MgCl2)

(Invitrogen) with 100 mg/ml ampicillin and cultured with shaking (225250 rpm) at 25 ?C

for 15 h.The expression of the bacteria was induced by adding 3 ml of the

overnight culture (approximately 11010 cells) to 50 ml IMC

medium containing 100 mg/ml ampicillin and 100 mg/ml tryptophan (Invitrogen) and the mixture

was cultured with shaking for 6 h. Biopanning was carried out after induction

of the bacterial library with tryptophan, which activated the transcription of

the FliC/TrxA peptide fusion proteins.A confluent dish with L02 cells was first blocked with IMC medium

containing 1% bovine serum albumin (BSA) and 1% a-methyl mannoside

(Sigma-Aldrich, St. Louis, usa)

at 37 ?C for 1 h. Blocked cells were incubated with 10 ml induced bacterial

suspension in IMC medium containing 1% BSA and 1% a-methyl mannoside at room

temperature for 1 h. Unbound bacteria were transferred and incubated in another

dish with blocked L02 cells at room temperature for 1 h. Then the unbound

bacteria were transferred to the blocked HepG2 cells and incubated for another

1 h. Dishes with HepG2 cells were washed with IMC medium containing 1% a-methyl

mannoside for 5 min and the wash was repeated four more times. Binding bacteria

were obtained by stirring in a vortex for 30 s and subsequently amplified in

IMC medium containing ampicillin (100 mg/ml) overnight for the next selection round.

Recovered bacteria were counted by plating on RMG plates (1 M9 salts, 2%

casamino acids, 0.5% glucose, 1 mM MgCl2, and 1.5% agar) (Invitrogen) supplemented with 100 mg/ml ampicillin.

After five rounds of selection, individual clones were isolated and analyzed.

Clone polymerase chain

reaction (PCR)

Clone polymerase chain

reaction (PCR)

Individual clones were picked and lysed in 20 ml of 0.1% Triton

X-100 and the lysate was used as a template. Reactions were carried out with

FliTrx forward sequencing primer (5-ATTCACCTGACTGACGAC-3),

FliTrx reverse sequencing primer (5-CCCTGATATTCGTCAGCG-3)

(synthesized by BioAsia, Shanghai, China), and Taq DNA polymerase (MBI

Fermentas, St. Leon-Roth, Germany) in a volume of 20 ml for 2 min predenaturing

at 94 ?C and 30 cycles of 1 min denaturing at 94 ?C, 1 min annealing at 55 ?C,

and 1 min extension at 72 ?C. PCR products were analyzed by electrophoresis on

1% agarose gel. Clones containing inserts of 170 bp were selected for further

analysis.

Flow cytometry

Individual clones were further screened for binding with HepG2 by

flow cytometry, using L02 as negative control. Cells (1105 cells/well) were removed from the dish with trypsin, washed once

with phosphate-buffered saline (PBS)/1% BSA, and incubated with 50 ml induced

bacteria (1012

c.f.u./ml in PBS/1% BSA and 1% a-methyl mannoside) for 1 h

on ice. Cells were washed twice with PBS/1% BSA and incubated with mouse anti-thio

antibody (1:500 diluted) (TrxA; Invitrogen) for 30 min on ice. Cells were

washed twice with PBS/1% BSA and incubated with

fluorescein-isothiocyanate-conjugated anti-mouse immunoglobulin G (1:500

diluted) (Invitrogen) for 30 min on ice. Then the cells were washed twice with

PBS/1% BSA and analyzed using FACSCalibur (Becton Dickinson, Oxford, UK).

Clones that only bound HepG2, not L02, were selected for sequencing.

DNA sequencing and homology

Individual clones were isolated and sequenced by

BioAsia (Shanghai) with forward sequencing primer 5-ATTCACC­TGACTGACGAC-3 and

reverse sequencing primer 5-CC­CT­GAT­ATTCGTCAGCG-3. Sequences

of dode­ca­pep­tides were submitted to the PubMed (http://www.ncbi.nlm.nih.gov/blast/Blast.cgi),

SwissProt (http://expasy.org/tools/blast/),

and European Molecular Biology Laboratory (EMBL) (http://www.ebi.ac.uk/blast2/index.html)

databases for homology analysis.

Characterization of

specificity with flow cytometry

To characterize specificity, individual clones from the last

screening round were analyzed using flow cytometry for binding with the

following cancer cell lines: SLC (squamous lung carcinoma), MKN28 (gastric

adenocarcinoma), K562 (chronic myelogenous leukemia), HeLa (cervix

adenocarcinoma), MCF7 (mammary gland adenocarcinoma), HL60 (peripheral blood

acute promyelocytic leukemia), and SMMC7721 (hepatocellular carcinoma). Similar

techniques were used as above described.

Structure prediction

The sequences of selected peptides were analyzed with

ExPASy proteomics and sequence analysis tools (http://expasy.org/tools/). Secondary structure prediction was carried out by agadir (http://www.embl-heidelberg.de/Services/serrano/agadir/agadir-start.html).

Information on TrxA-peptide fusion proteins was sent to the 3D-jigsaw comparative modeling server (http://bmm.cancerresearchuk.org/~3djigsaw/).

VMD 1.8.5 (http://www.ks.uiuc.edu/Research/vmd/vmd-1.8.5/)

was used to display and analyze the results of the modeling of fusion regions.

Expression analysis of

FliC/TrxA-peptide fusion protein and Western blot analysis

After being induced with 100 mg/ml tryptophan under optimized

conditions for 6 h, the cultured bacteria were collected and the flagellin

extracted as described by Ibrahim et al [12], with some modifications.

Briefly, the flagellin protein was extracted by exposure of the bacterial cells

to 1 N hydrochloric acid at pH 2.0 for 20 min. Cellular debris was then

separated by centrifugation at 1500 g for 15 min and the flagellin

protein in the supernatant was collected. The pH of this supernatant solution

was adjusted to 7.2 with 1 N sodium hydroxide before incubation with the

polyvinylidene fluoride membrane.HepG2, L02, and SLC cells were lysed in the sodium dodecyl sulfate

sample buffer; proteins were separated on 8% polyacrylamide gels and transferred

to polyvinylidene fluoride membranes. Blots were incubated with 10 mg/ml

FliC/TrxA-peptide fusion proteins (supernatant as mentioned above in PBS/0.2%

Tween-20/5% skimmed milk) overnight at 4 ?C and washed with PBS/0.2% Tween-20.

Membranes were detected using mouse Anti-Thio antibody (1:5000 diluted) and

horseradish peroxidase-conjugated goat anti-mouse immunoglobulin G (1:2000

diluted). The final detection method is to add the horseradish peroxidase

substrate solution containing DAB (3,3′-diaminobenzidine) (1.5 mg/ml) and watch

for the appearance of coloured band on the nitrocellulose.

Results

Bioscreening

HepG2 binding-specific peptides were screened from the FliTrx random

peptide library containing 1.77108 primary clones. Induced bacterial

display peptides were counter selected with normal liver cell line L02 to

deplete healthy tissue-binding peptides. After incubation with L02 cells,

unbound bacteria were obtained and panned with HepG2 cells. Five rounds of

selection were carried out and the efficiency of selection was monitored by

comparing the number of recovered bacteria in each round. An ever-increasing

ratio of output/input (Table 1) indicated that the positive clones

specific for HepG2 were fully enriched, especially in the last round.After five subtract-screening rounds, 700 clones were picked from

the recovered bacteria in the last round for bacterial PCR to select clones

containing whole fusion protein. Approximately 28% (200/700) of the selected

clones containing the full-sized insert of 170 bp (Fig. 1) were selected

for further investigation. Each of the clones and the corresponding exogenous

sequence was given a sequential name from 1 to 200.

Confirmation of in vitro

binding by flow cytometry

The binding ability of individual clones was verified by flow

cytometry. To identify the specificity of selected clones for HepG2, the cell

line L02 served as the control. Ten of the 200 peptides had clearly higher

binding activity with HepG2 than with L02 (Fig. 2). They were chosen to

be sequenced.

Sequence and homology analysis

Among the 10 selected clones, seven peptide sequences were

identified due to repeated events (Table 2). Three clones, 11, 16, and 76,

included the same dodecamer peptide sequence. Two clones, 34 and 60, were

totally repeated sequences. Analysis of the amino acid sequences suggested that

individual clones might share some consensus groups at an identical position,

such as VA, EL, RI, AP, S-S, L-E, and W-E. In other words, there were some

high-frequency amino acids. But these sequences were different from

hepatocellular antigens or any other peptide or protein sequence available, as

confirmed by blast in various

protein databases such as SwissProt, PubMed, and the EMBL databases.

Characterization of

specificity of peptides

Additional flow cytometry analysis was carried out to further

determine the binding specificity of these seven peptides with tumor cell lines

SLC, MKN28, K562, Hela, MCF7, and HL60. Three clones (11, 12, and 34) showed

obviously lower binding activity with other tumor cell lines than with HepG2 (Fig.

3). We named these three peptides Hep1 (11), Hep2 (12), and Hep3 (34).

Furthermore, we identified their binding specificity with hepatocellular

carcinoma cell SMMC7721. Results showed that they could also bind to SMMC7221

cells, but the affinity was significantly lower compared with HepG2 (Fig. 4).

Prediction of the structure of

TrxA-peptide fusion protein

The amino acid sequences of Hep1, Hep2, and Hep3 were submitted to

AGADIR and the results revealed that both Hep1 and Hep2 peptides had a very

high helical potential [Fig. 5(ac)]. This, in turn, implies that the dodecamer peptides might adopt a

coiled-coil structure. As Hep3 peptide showed a very low helical potential, it

was selected as a control for further structural and recognition investigation.As dodecapeptides were inserted within the active loop of TrxA, we

submitted the sequences of TrxA-peptide fusion proteins to the 3D-JIGSAW server

to further develop the TrxA-peptide structural model. The overall structure is

shown in Fig. 5(D,E). The fusion protein consisted of two regions; TrxA

had a central pleated b-sheet with five parallel and antiparallel b-strands, surrounded by

three a-helices. Dodecapeptides formed a stable protrusion from the active

site of TrxA, located at the beginning of a long a-helix. Hep1 formed a big

loop [Fig. 5(d)], Hep2 was

displayed as a b-sheet combined with one b-fold of TrxA overhanging from the TrxA region

[Fig. 5(e)], and Hep3

stuck out from the TrxA region [Fig. 5(f)],

forming two b-sheets by itself. The model showed that even Hep3 might not be a

simple linear structure in the fusion protein.Comparison with the secondary structure analysis showed that only

the structure of Hep3 in the fusion protein was affected by TrxA. Hep1 and Hep2

were also constrained by TrxA, but the tertiary structure was similar to the

secondary structure and not influenced by the fusion protein.

Identification of a novel

target on HepG2 cells

The flagellin protein was extracted for Western blot assay. The

Western blot analysis revealed that: (1) FliC/TrxA-peptide fusion proteins were

approximately 65 kDa; (2) no binding occured on L02 cell lysate or SLC cell

lysate with FliC/TrxA-peptide fusion proteins; and (3) three FliC/TrxA-peptide

fusion proteins bound to the same fragment of approximately 140 kDa of the

HepG2 cell lysate (Fig. 6).

Discussion

Targeting specific binding ligands on tumor cells is an efficient

way to improve early cancer diagnosis schemes and therapy. It has been reported

that cancer cells often display high levels of certain cell surface molecules,

such as tumor-associated antigens or tumor-specific antigens, that are sparse

on normal tissues, representing potential sites for delivery of toxic agents

[13,14]. Therefore, we carried out subtract-screening based on the FliTrx

bacterial peptide library to search for HepG2 cell-specific peptides. As HepG2

is a human hepatoma cell line derived from hepatic neoplasia, which still

retains numerous cellular functions typical of differentiated, normal

hepatocytes (such as synthesis of albumin, transferring, a1-antitrypsin,

fibrinogen, and certain other coagulation factors), it is widely accepted as a

valuable and informative model system for studying human hepatocyte function

[15,16]. Phage display libraries have been applied in ligand selections using

cultured cells, animals [17], or human patients [18], yielding peptides

specific for cell surface markers [19]. The principal advantage of display

library methodologies is that selection can be carried out in a native-like,

membrane-bound environment without prior knowledge of the target cell receptors

[20]. Peptide ligands generated using this method have been proved useful in

tumor diagnosis and target therapy [21,22]. The FliTrx system has been widely

used as a novel bacterial displayed peptide library for studying

protein-protein interactions involved in receptor-ligand binding,

enzyme-substrate specificity, and antibody-antigen recognition [8,23]. Cell surface proteins are frequently post-translationally modified,

including malignancy-specific modifications. Thus, peptides selected against purified

recombinant protein might not be able to access their targets on living cells

[24,25]. Here, for the first time, we described successful living cell

biopanning with this particular bacterial library. The data proved that

positive clones specific for HepG2 were fully enriched after subtract screening

and three HepG2-specific clones were selected from the peptide library.Although it is possible to screen peptide libraries to select peptidic

ligands that bind to previously uncharacterized molecules on the cell surface,

a problem in this approach is the risk of selecting clones that bind a whole

population of cell surface molecules, not the target molecule alone. To enhance

the selection of specific ligands from the phage-displayed peptide library,

subtractive approaches have been applied to eliminate potential selection of

clones that bind to irrelevant surface molecules [2628]. In this case, we chose

the normal liver cell line L02 as the negative control and after five

subtract-screening rounds we obtained 200 clones containing the full-sized

fusion from 700 random clones. Of these, 10 clones showed obviously higher

affinity with HepG2 than with L02. Finally, seven different sequences were

identified on account of repeated cases. We carried out not first sequencing of

all random clones picked up from recovered bacteria, but bacterial PCR for

identification of correct construction of fusion regions after bioscreening.

The results proved that, with even the obvious enrichment of bacteria

specifically binding to HepG2, only 28% of clones containing full-size inserts

could be used for further binding ability assay. And only 5% of the clones

appeared to bind more effectively than the others, and were able to bind

specifically to hepatoma cells. Such a low positive rate was not what we aimed

for and the evidence revealed the meaning of identification of binding ability

of selected clones for deletion of non-specific peptides and avoidance of blind

random sequencing. The analysis of amino acid sequences in clones initially indicated

some consensus groups, such as VA, EL, RI, AP, S-S, L-E, and W-E, shared by

individual clones. However, after subsequent sequenced blasts in various protein databases, including SwissProt,

PubMed, and EMBL databases, these peptides turned out to be different from any

hepatocellular-specific antigens or any other peptide or protein sequences

available. Further flow cytometry assays distinguished three clones that showed

obviously higher affinity with HepG2 cells compared with other tumor cell

lines. They were named Hep1, Hep2, and Hep3, and they could also bind to

another liver carcinoma cell line SMMC7721, although the affinity was lower

compared with HepG2.Screening of protein databases allows determination of proteins with

homologies to selected peptide sequences. In that event, the matched proteins

are biologically relevant (can theoretically serve as ligands for the target

molecules). But, in our experiment, the consensus sequence of the selected

peptides did not bear any obvious similarity to the sequence of any

characterized protein in the databases. It is very possible that the selected

peptides mimic a complex binding epitope of potential ligands and, thus, cannot

be found in databases [29]. Therefore, we tried to investigate the

characteristics and gather biological information about these HepG2-specific

peptides.Variation in the FliTrx loop epitope sequence, the location of the

linear epitope sequence, and the non-epitope sequence composition indicated

that some different amino acid sequences are recognized by the same HepG2

cells. Bioinformatics analysis and prediction of the secondary structures of

peptides and tertiary structures of TrxA-peptide fusion proteins suggested

that: (1) three peptides isolated from the FliTrx library were constrained in

the fusion region, and formed different 3-D structures sticking out of the

fusion protein, which benefit their interaction with molecules; (2) the

structure of Hep3 was influenced by TrxA, however, the secondary and tertiary

structures of Hep1 and Hep2 showed no significant difference; and (3) the

structure character might be more important for peptide function and

recognition than the sequence of peptides. We propose, therefore, that the 3-D

structural model of TrxA confirmed and guaranteed the structure of peptides and

affected their affinity.As TrxA-peptide fusion proteins are more available than the

respective peptides, we attempted to verify the recognition between fusion

proteins and tumor cells using Western blot analysis. We used the flagellin

protein, so-called FliC/TrxA-peptide fusion proteins, to identify the tumor

cell lysate. Induced bacteria were incubated with cell lysate blot and

Anti-Thio positive bands were observed only on the HepG2 cell lysate. Selective

binding to the same band of HepG2 cell lysate occurred by different

FliC/TrxA-peptide fusion proteins but not by the negative control. These

results revealed that FliC/TrxA-peptide fusion proteins recognize a certain

molecule or subunit on HepG2 cells, but not TrxA or the peptide itself.

Furthermore, the fragment of approximately 140 kDa on HepG2 cells, which binds

to fusion proteins, was also different from the other known tumor antigens,

such as transferrin 95 kDa, fibrinogen 340 kDa, and a1-antitrypsin 54 kDa. The

fact that several peptide consensus groups were apparent among the sequences

isolated using the bacterial library suggests that these clones recognize

different cell surface receptors or epitopes on whole cells [30]. However, the

results suggested that different clones detected the same target molecule,

implying the existence of a possible protein or subunit of approximately 140

kDa on HepG2 cells. These three peptides are not repeated sequences and their

3-D structures are not identical, but they can bind the same target molecule on

tumor cells.A protein epitope can either be continuous or discontinuous. While a

continuous

(also called sequential or linear) epitope is a

sequential fragment from the protein sequence, a discontinuous

(also called conformational) epitope is composed of several

fragments scattered along the protein sequence and brought

together in spatial proximity when the protein is folded

[31]. Most epitopes are discontinuous, although they are often

composed of small continuous elements of the sequence. Most

linear epitopes of approximately five residues are involved, four residues

being involved in the binding [32], and the other replaceable residues

essentially fulfilling a spacer function. E (glutamin) and L (leucine) show a

high frequency among the amino acid sequences of Hep1, Hep2, and Hep3. Peptides

could recognize and bind the same epitope based on the folding and reversal of

the 3-D structure. Peptides selected using this methodology have moderate

biological activity towards their receptor molecules on cell surfaces. This

indicates that the peptides can serve as potential leads for the development of

diagnostic and therapeutic agents [33]. In summary, the development of new biological technology provides

powerful methods to identify biomarkers on tumor cells or tissues, to

consummate the tumor therapy methods and drugs, by specific delivery of drugs

in tumor cells. A major advantage of these techniques, especially the

combination-interdisciplinary method, is not affecting on innocent bystander

cells. The success encountered with the bacterial peptide library with

TrxA-dodecapeptides suggests that the approach described in this study might be

used to develop powerful and more specific peptides. Three FliC/TrxA-peptide

fusion proteins selected in this study (FliC/TrxA-Hep1, FliC/TrxA-Hep2, and

FliC/TrxA-Hep3) showed remarkable cell specificity of HepG2 cells. And all the facts

surely pointed toward the improvement of a novel target in HepG2 cells, as

there was a 140 kDa band detected by the FliC/TrxA-peptide fusion proteins.

Structural bioinformatic approaches could be a helpful methodology for further

investigation of target molecules on HepG2 cells and improvement of the

affinity of HepG2-specific peptides.

Acknowledgements

We thank Jingfang Shao, Yue Zhang, Jing

Yang, Zhihui Liang, Wei Feng, Xiaodan Jiang, Ping Xiong, and Yong Xu

(Department of Immunology, Tongji Medical College, Huazhong University of

Science and Technology, Wuhan, China) for their help.

References

 1   Bosch FX, Ribes J, D?az M, Cl?ries R. Primary

liver cancer: worldwide incidence and trends. Gastroenterology 2004, 127: S5S16

 2   Ferlay J, Bray F, Pisani P, Parkin DM.

GLOBOCAN 2000: Cancer Incidence, Mortality and Prevalence Worldwide. Version

1.0. Lyon: IARC Press 2001

 3   El-Houseini ME, Mohammed SM, Wael ME, Tarek

DH, Omar SD, Anwar AE. Enhanced detection of hepato-cellular carcinoma. Cancer

Control 2005, 12: 248253

 4   Zhang B, Zhang Y, Wang J, Zhang Y, Chen J,

Pan Y, Ren L et al. Screening and identification of a targeting peptide

to hepatocarcinoma from a phage display peptide library. Mol Med 2007, 13: 246254

 5   Pan B, Li B, Russell SJ, Tom JY, Cochran AG,

Fairbrother WJ. Solution structure of a phage-derived peptide antagonist in

complex with vascular endothelial growth factor. J Mol Biol 2002, 316: 769787

 6   Sun LY, Chu TW, Wang Y, Wang XY. Radiolabeling

and biodistribution of a nasopharyngeal carcinoma-targeting peptide identified

by in vivo phage display. Acta Biochim Biophys Sin 2007, 39: 624632

 7   Lu Z, Murray KS, Van Cleave V, LaVallie ER,

Stahl ML, McCoy JM. 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 1995, 13: 366372

 8   Lu Z, LaVallie ER, McCoy JM. Using

bio-panning of FLITRX peptide libraries displayed on E. coli cell

surface to study protein–protein interactions. Methods Mol Biol 2003, 205: 267280

 9   Tripp BC, Lu Z, Bourque K, Sookdeo H, McCoy

JM. Investigation of the “switch-epitope” concept with random peptide libraries

displayed as thioredoxin loop fusions. Protein Eng 2001, 14: 367377

10  Craik DJ, Simonsen S, Daly NL The cyclotides:

novel macrocyclic peptides as scaffolds in drug design. Curr Opin Drug Discov

Devel 2002, 251260

11  Li P, Roller PP. Cyclization strategies in peptide

derived drug design. Curr Top Med Chem 2002, 2: 325341

12  Ibrahim GF, Fleet GH, Lyons MJ, Walker RA.

Method for the isolation of highly purified Salmonella flagellins. J

Clin Microbiol 1985, 22: 10401044

13  Nilsson F, Tarli L, Viti F, Neri D. The use of

phage display for the development of tumor targeting agents. Adv Drug Deliv Rev

2000, 43: 165196

14  Bussolati B, Grange C, Tei L, Deregibus MC,

Ercolani M, Aime S, Camussi G. Targeting of human renal tumor-derived

endothelial cells with peptides obtained by phage display. J Mol Med 2007, 85:

897906

15  Javitt NB. HepG2 cells as a resource for

metabolic studies: lipoprotein, cholesterol, and bile acids. FASEB J 1990, 4:

161168

16  She YM, Narindrasorasak S, Yang S, Spitale N,

Roberts EA, Sarkar B. Identification of metal-binding proteins in human

hepatoma lines by immobilized metal affinity chromatography and mass

spectrometry. Mol Cell Proteomics 2003, 2: 13061318

17  Pasqualini R, Ruoslahti E. Organ targeting in

vivo using phage display peptide libraries. Nature 1996, 380: 364366

18  Zurita AJ, Troncoso P, Card?-Vila M,

Logothetis CJ, Pasqualini R, Arap W. Combinatorial screenings in patients: the

interleukin-11 receptor a as a candidate target in the

progression of human prostate cancer. Cancer Res 2004, 64: 435439

19  Rasmussen UB, Schreiber V, Schultz H, Mischler

F, Schughart K. Tumor cell-targeting by phage-displayed peptides. Cancer Gene

Ther 2002, 9: 606612

20  Dane KY, Chan LA, Rice JJ, Daugherty PS.

Isolation of cell specific peptide ligands using fluorescent bacterial display

libraries. J Immunol Methods 2006, 309: 120129

21  Ladner RC. Polypeptides from phage display. A

superior source of in vivo imaging agents. Q J Nucl Med 1999, 43: 119124

22  Park JW, Hong K, Kirpotin DB, Colbern G, Shalaby

R, Bseiga J, Shao Y et al. Anti-Her2 immunoliposomes: enhanced efficacy

attributable to targeted delivery. Clin Cancer Res 2002, 8: 11721181

23  Zitzmann S, Kr?mer S, Mier W, Mahmut M, Fleig

J, Altmann A, Eisenhut M et al. Identification of a new prostate-specific

cyclic peptide with the bacterial FliTrx system. J Nucl Med 2005, 46: 782785

24  Barry MA, Dower WJ, Johnston SA. Toward

cell-targeting gene therapy vectors: selection of cell-binding peptides from

random peptide-presenting phage libraries. Nat Med 1996, 2: 299305

25  Zhang J, Spring H, Schwab M. Neuroblastoma

tumor cell-binding peptides identified through random peptide phage display.

Cancer Lett 2001, 171: 153164

26  Giordano RJ, Cardo-Vila M, Lahdenranta J,

Pasqualini R, Arap W. Biopanning and rapid analysis of selective interactive

ligands. Nat Med 2001, 7: 12491253

27  Romanov VI, Durand DB, Petrenko VA. Phage

display selection of peptides that affect prostate carcinoma cells attachment

and invasion. Prostate 2001, 47: 239251

28  Binetruy-Tournaire R, Demangel C, Malavaud B,

Vassy R, Rouyre S, Kraemer M. Identification of a peptide blocking vascular

endothelial growth factor (VEGF)-mediated angiogenesis. EMBO J 2000, 19: 15251533

29  Folgori A, Tafi R, Meola A, Felici F, Galfr?

G, Cortese R, Monaci P et al. A general strategy to identify mimotopes

of pathological antigens using only random peptide libraries and human sera.

EMBO J 1994, 13: 22362243

30  Daugherty PS, Olsen MJ, Iverson BL, Georgiou G.

Development of an optimized expression system for the screening of antibody

libraries displayed on the Escherichia coli surface. Protein Eng 1999,

12: 613621

31  Van Regenmortel MH. Antigenicity and

immunogenicity of synthetic peptides. Biologicals 2001, 29: 209213

32  Geysen HM, Mason TJ, Rodda SJ. Cognitive

features of continuous antigenic determinants. J Mol Recognit 1988, 1: 3241


33  Deshayes K, Schaffer ML, Skelton NJ, Nakamura GR,

Kadkhodayan S, Sidhu SS. Rapid identification of small binding motifs with

high-throughput phage display: discovery of peptidic antagonists of IGF-1

function. Chem Biol 2002, 9: 495505