Abstract
One of the major challenges in the design of biosensors for cancer diagnosis is to introduce a low-cost and selective probe that can recognize cancer cells. In this paper, we combined the phage display technology and electrochemical impedance spectroscopy (EIS) to develop a label-free cytosensor for the detection of cancer cells, without complicated purification of recognition elements. Fabrication steps of the cytosensing interface were monitored by EIS. Due to the high specificity of the displayed octapeptides and avidity effect of their multicopy display on the phage scaffold, good biocompatibility of recombinant phage, the fibrous nanostructure of phage, and the inherent merits of EIS technology, the proposed cytosensor demonstrated a wide linear range (2.0 × 102 − 2.0 × 108 cells mL−1), a low limit of detection (79 cells mL−1, S/N = 3), high specificity, good inter-and intra-assay reproducibility and satisfactory storage stability. This novel cytosensor designing strategy will open a new prospect for rapid and label-free electrochemical platform for tumor diagnosis.
With the increasing cancer incidence and stubbornly high cancer mortality around the world, the early diagnosis of cancer and point-of-care monitor of cancer therapy have drawn great attention1,2. To date, various analytical methods including chemiluminescence3, quartz crystal microbalance biosensor4, surface plasmon resonance5, radiological examination6, endoscope7, computed tomography8, and electrochemical approaches has attracted growing interests for detection of cancer cells. Recently, electrochemical methods such as scanning electrochemical microscopy9, electrochemiluminescence10, electrochemical impedance spectroscopy (EIS)11, and electric cell-substrate impedance sensing12 have been developed. Among them, EIS has attracted great interests due to its remarkable advantages. First, EIS is an effective tool to sensitively and rapidly monitor the minute changes of the electrode interface. Second, unlike large amplitude perturbation techniques (such as cyclic voltammetry and differential pulse voltammetry), EIS is a nondestructive technique due to the small amplitude perturbation13. Last but most importantly, it is not needed to introduce a label during impedance measurement14. Therefore, by collecting EIS data of electrode interface at direct current15, the label-free electrochemical impedance cytosensors have been increasingly explored for clinical diagnosis of tumor, due to the inherent advantages such as label-free procedure, simple operation, high sensitivity, short analysis time, miniaturization, and potential of automation16.
Based on affinity interaction, label-free impedance cytosensor usually needs a kind of recognition element to selectively capture targets or analytes14, such as antibody17,18, lectin19,20, receptor protein21, DNA aptamer22, and carbohydrate13. For example, Maalouf et al. achieved label-free detection of E. coli by EIS using biotinylated polyclonal antibodies immobilized on the gold electrode (AuE)18. Hu et al. developed EIS cytosensor for quantitative determination of human BXPC-3 pancreatic cancer cells by monoclonal anti-carcinoembryonic antigen antibody as recognition element23. Li et al. explored indium tin oxide electrode covered with a monoclonal antibody for EIS sensing of E. coli without enzymatic signal amplification17. Cao et al. reported a cytosensor based on protein-inorganic hybrid nanoflowers conjugated with a targeting lectin molecule (Sambucus nigra agglutinin) for sensing human DLD-1 colon cancer cells24. Wan et al. fabricated an impedimetric cytosensor for label-free and rapid detection of Desulforibrio caledoiensis by immobilizing lectin (Concanavalin A, Con A) onto the surface of AuE20. Gamella et al. fabricated label-free screen-printed AuE for EIS detection of bacteria by the selective interaction of lectin (Con A) with carbohydrate component from E. coli cell surface25. The Labib’ group developed two EIS biosensors to separately detect Salmonella enteritidis26 and Salmonella typhimurium22 by highly specific DNA aptamer immobilized on Au nanoparticles/screen-printed carbon electrode. Guo et al. developed a label-free EIS biosensor for E. coli ORN 178 by self-assembling thiol-terminated α-mannoside and a thiol-terminated oligoethylene glycol “spacer” molecule on AuE13. However, some inherent disadvantages of the conventional recognition elements restrict their analytical applications. On one hand, protein recognition elements (antibody, lectin and receptor protein) and DNA aptamer, are complicated in preparation and purification, and lack the stability under a variety of monitoring conditions or long-term storage27. On the other hand, although carbohydrate exhibits the merits of good stability, it still involves complicated functionalization process and use of toxic organic reagents28. In addition, carbohydrate lacks specificity in comparison with other recognition elements. Therefore, it is highly desirable to explore facile, stable and specific molecular probes to overcome the limitations inherent in these typical recognition elements.
Phage display is a technology that allows expressing of polypeptide or protein on the surface of phage by inserting the corresponding foreign DNA into the genes encoding the coat proteins29. Since one of our co-workers, Petrenko constructed the first type f8/8 phage library, named “landscape phage library”, displaying billions of random octapeptides at the N-end of the major coat protein pVIII of fd-tet phage30, landscape phage libraries have become an effective source to obtain specific peptide-fused phages binding various analytes by biopanning (a biological evolutionary selection process)31. By displaying specific ligands, phage display technology has been widely applied on various fields, such as biomineralization32,33, epitope screening34, cancer diagnosis and therapy35,36, targeted drug delivery37, and biosensing31,38. The selected phages exhibit many merits such as multivalency, high specificity, excellent stability in extreme environments, and simple large-scale preparation without complicated purification procedures39. Additionally, the filamentous phages can be used as a “carrier” of specific polypeptides which reduce the challenge of polypeptides immobilization40,41,42,43.
To study the phage-based cytosensor, the SW620 colorectal carcinoma cells were used as the model targets, which were derived from metastatic lesions of colon cancer44. In our previous work, we obtained the phage fused with octapeptide (DDAGNRQP) by screening the f8/8 landscape phage library against SW620 human colorectal carcinoma cells. The bio-mimetic nanostructure was self-assembled from Au@Ag heterogeneous nanorods and specific fusion pVIII proteins, which were capable of bioimaging and photothermal therapy of targeted tumor45. In this work, a label-free EIS cytosensor for cancer cells was developed by immobilizing the above-mentioned specific octapeptide-fused phages on the electrode surface. The as-fabricated cytosensor was sensitive, selective, reliable and stable, which was benefitted from the inherent merits of phage-displayed specific octapeptides and the superiority of EIS. To the best of our knowledge, this is the first example of impedance cytosensor based on specific peptide-fused phages. This work will provide a new avenue to fabricate the phage-based sensors for detection of cancer cells.
Results
Spectrophotometric Estimation of SW620 Cell-Specific Phage Particles
The total number of SW620 cell-specific phages from the f8/8 phage library was determined spectrophotometrically. The purified phage solution was diluted with phosphate-buffered saline (PBS) for the required concentration. The typical UV spectrum of purified phage preparation is shown in Figure S1(Supporting Information). Based on the formula41: virions (vir)/ml = (A269 × 6 × 1016)/number of nucleotides in the phage genome, where A269 is the absorbance at 269 nm. For the recombinant phages used in this work (9198 nucleotides), absorbance unit (A269) = 6.52 × 1012 vir/ml was used to determine the concentration of phage particles in the solution (physical titer). The concentration of the as-prepared phage particles was calculated to be 9.13 × 1013 vir/ml.
Fabrication of the Cytosensor
Before the fabrication of the cytosensor, continuous cyclic voltammetric (CV) scanning of the AuEs in H2SO4 solution were conducted to make the AuEs almost inclusion-free and activated. Subsequently, bio-recognition elements were immobilized on the biosensor surface by the layer-by-layer assembly of 3-mercaptopropionic acid (MPA), 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride (EDC)/N-hydroxysuccinimide (NHS) and phages (Fig. 1). To monitor the fabrication process of biosensor and the recognition of analytes on the electrode surface, we adopted EIS method, which has been widely used for monitoring the changes of electrode surface state because of its sensitive response and rapid label-free detection16,46. In addition, as a nondestructive technique, EIS was also considered appropriate for phage-based sensor13. Due to its nontoxicity for living cell, [Fe(CN)6]3−/4− solution was used as the redox probe23. To analyze the data of EIS, the Nyquist diagram and the Randles equivalent circuit model were applied15,16. The semicircle diameter of the Nyquist diagram corresponds to the electron transfer resistance (Ret) deriving from insulativity of the electrode surface. Therefore, Ret indicates the change of the insulative layer which hinders the transfer of redox probe to the electrode surface.
As shown in Fig. 2A, Nyquist diagrams changed incrementally with the successive modification of the Au electrode surface. Based on the Randles equivalent circuit model, the impedance data were fitted into corresponding electronic elements, and the successively changed Ret values were intuitively illustrated by histogram (Fig. 2B). After a series of pretreatments, the bare Au electrode surface was cleaned and activated, and exhibited a good electron transfer rate with the Ret value of 79.9 ± 6.4 Ω. Then MPA was covalently attached onto the Au electrode surface to form a carboxyl monolayer by the strong interaction of Au−S bonds, and the Ret value increased to 578 ± 21 Ω, indicating the formation of insulative layer of MPA. Whereafter, the carboxyl groups were immediately activated by EDC/NHS and the Ret value mildly increased to 703 ± 29 Ω. With the assembly of phage, the Ret value remarkably increased to 2245 ± 42 Ω, indicating the success of covalent immobilization of phage onto the surface of Au electrode by condensation reaction between carboxyl group and amine group. The remarkable increment in Ret could be due to sufficient binding time and the optimal concentration of phage, as well as the expected hindrance of the redox probe [Fe(CN)6]3−/4− to the electrode surface. To avoid nonspecific physical adsorption and covalent binding between amino groups on cell surface and residual activated carboxyl of MPA, the sensor was blocked with 0.2% bovine serum albumin (BSA) in PBST. The nonionic surfactant 0.05% Tween-20 in PBST can allow to partly avoid unwished nonspecific adsorption42. The mild increase of Ret to 2411 ± 49 Ω suggested that most of activated carboxyl of MPA had covalently bound with phage. For immunoassay, the target SW620 cells were captured via a highly specific interaction between fusion octapeptides of phages and protein markers of cells. A high Ret of 4970 ± 114 Ω was observed, indicating that the large cells were immobilized onto the Au electrode surface to form a greater physical barrier between redox probe and the electrode surface.
Meanwhile, CV curves also provided the consistent information about the electrode surface (Fig. 2C). Using [Fe(CN)6]3−/4− as the electrochemical redox probe, a pair of reversible redox peaks were observable for bare AuE (Fig. 2C, curve a), demonstrating a cleaned and activated electrode surface. Due to the coverage of MPA and blockage of active sites on AuE, the response current obviously reduced (Fig. 2C, curve b)47. With the further incubation of EDC/NHS mixture, the negative charged carboxyl group of MPA was bound with EDC and then replaced by NHS. Because the introduction of positive or neutral succinimide group of NHS further restrained the transfer of negative redox probe [Fe(CN)6]3−/4− to the electrode surface, the peak current further reduced (Fig. 2C, curve c)48. Further, with the successive assembly of phages, BSA and cells, the CV responses gradually reduced until the current peaks were not obvious (Fig. 2C, curves d–f), indicating the coverage of insulative layers.
To further study the topography of the functional surface of electrode after the above-mentioned assembly steps, the atomic force microscopic (AFM) measurements were conducted. Several filamentous phages with the length of ca. 1.3 μm and diameter of ca. 7 nm were observed on the gold surface for the case of the unsaturated phage incubation (Fig. 3A). The dense phage layer was clearly observed after incubation in saturated phage (Fig. 3B). The phages or phage bundles were covalently attached onto the gold surface to form an intercrossing random network. In addition, some spheroid particles on the layer could presumably be derived from coiling of filamentous phage49.
Optimization of Conditions of Fabrication and Recognition Processes
To optimize cytosensor fabrication, we studied some important parameters, including phage concentration, incubation time of phage, incubation time of BSA, which were related to the cells capture capabilities and recognition efficiency of cytosensor. First, the modified electrodes were incubated in different phage concentrations (2.5 × 108 − 2.5 × 1013 vir/mL) overnight, and the EIS spectra were recorded. EIS responses exhibited an upward tendency from 2.5 × 108 to 2.5 × 1011 vir/mL, while no obvious change was observed for higher concentrations (Fig. 4A). Therefore, phage concentration of 2.5 × 1011 vir/mL was used for electrode modification. Subsequently, incubation time of phage (2.5 × 1011 vir/mL) was optimized. EIS responses increased with incubation time and reached a plateau at 6 h (Fig. 4B), indicating the amount of phages immobilized on electrode was saturated after 6 h. Because plentiful phages modified on the electrode would be eventually beneficial for cell recognition, 6 h was chosen as the optimal incubation time for phage immobilization. As for the blocking with BSA, the Ret showed a rising tendency with the increasing incubation time until 30 min (Fig. 4C). Hence, the blocking of sensor was accomplished after 30 min, which was selected as the optimal blocking time.
Since the incubation time of analytes could directly affect the electrochemical signal, we studied the effect of increasing incubation time of cells on EIS responses. As shown in Fig. 4D, Ret exhibited the continuous rise during 1 h incubation, indicating that more and more cells were captured by the cytosensor with the time accumulation. However, there was no apparent change of the Ret value after 1 h, suggesting that the amount of cells captured on the surface of the cytosensor was saturated. Hence, the optimal incubation time for the reaction between specific phage and antibody was 1 h.
Quantitative Detection of Cells by Phage-Based EIS Cytosensor
To investigate the performance of cytosensors for quantitative detection of tumor cells, we used EIS analytical system. EIS response directly reflected the electron transfer efficiency between the electroactive redox probe [Fe(CN)6]3−/4− and the electrode surface, and the shielding effect of the cell layer to redox probe. In other words, the Ret values of the cytosensors relied on the amount of covalently immobilized cells and the recognition performance of phage. As shown in Fig. 5A, EIS responses changed gradually with the increasing cell concentration from 200 to 2.0 × 108 cells mL−1, indicating the amount of the redox probes which penetrated to the electrode was gradually reduced. After fitting the EIS data into Ret values by the equivalent circuit model, it could be clearly observed that the Ret values sharply increased under low cell concentration, while slightly increased at the high cell concentration. The increment in Ret could be defined as ΔRet = Ri − R0, where Ri is the Ret value after incubation of cell, and R0 is the Ret value after blocking with BSA but before cell detection. Through the further data processing, we found that ΔRet values were proportional to the logarithm of the concentration of cell (Fig. 5B). The linear regression equation was ΔRet (Ω) = 420.21 lg C (cells mL−1) − 383.99 with the correlation coefficient (R) of 0.995. The wide linear range of 2.0 × 102 −2.0 × 108 cells mL−1 (equivalent to 2.0 − 2.0 × 106 in 10 μL assay volume) and the low limit of detection (LOD) of 79 cells mL−1 (S/N = 3) were obtained. The LOD was lower than those values of most cytosensors reported so far, such as 794 HeLa cells mL−1 at aptamer-based impedance sensor50, 100 HeLa cells mL−1 at folic acid-based electrochemical cytosensor51, 90 HL-60 cells mL−1 at small-molecule ligand-based impedance sensor52, 620 BGC-823 cells mL−1 at enzyme-linked tetrapeptide-based sensor53 and 1.8 × 104 Jurkat cells mL−1 at poly-lysine/GCE impedance sensor54 (Table S1). These results demonstrated that the covalent immobilization of specific phage led to highly efficient capture of tumor cells onto the electrode surface. Therefore, the fabricated sensor was sensitive for detection of targeted cells.
Evaluation of the Cytosensor Performance
To investigate the specificity of the proposed cytosensor for SW620 cell detection, control cells including HEK293T and HepG2 were regarded as potential interferents. Control cells and target cells SW620 were respectively incubated with the as-prepared cytosensor at the same condition. As for the as-prepared cytosensors, no obvious ΔRet values were observed for interferents in comparison with the sharp ΔRet value for SW620 (blue column in Fig. 6), demonstrating high specificity of the fabricated cytosensor and eliminable physical adhesion of cells onto electrode. Considering the complexity of the real blood, the ΔRet value for the mixture of cancer cells (SW620 and HepG2), healthy cell (HEK293T) in human serum was detected, which showed the relative error of +4.1% in comparison with the case of SW620 only. Therefore, the proposed cytosensor had excellent reliability for real sample. Meanwhile, the non-blocking sensors were also applied in the same series of experiments to verify the effect of blocking with BSA (red column in Fig. 6). It could be observed that, compared with the BSA-blocked cytosensor, all the non-blocking sensors showed an obvious increase in ΔRet value, indicating the blocking effect prevented nonspecific adsorption on electrode surface. These results confirmed not only the high selectivity of the phage-based cytosensor but also the necessity of blocking for sensor.
As the significant parameters of biosensor, the inter- and intra-assay reproducibility has to be investigated. On one hand, SW620 cells (2.0 × 105 cells mL−1) were detected for five independent experiments by using different freshly prepared cytosensors. The relative standard deviation (RSD) was 4.9%, indicating acceptable reproducibility of the fabricated cytosensors. On the other hand, two different concentrations of SW620 cells were detected for five replicate detections. The RSD was 3.1% and 2.6% for 2.0 × 105 and 2.0 × 107 cells mL−1, respectively, indicating good precision of the cytosensor for the detection of cell.
In addition, the fabricated cytosensor remained 92.4% of its initial signal response after 30 days storage at 4 °C, suggesting the satisfactory storage stability, which is superior to antibody- or aptamer-based cytosensor. This excellent stability could be attributed to the fact that the landscape phage can be stored indefinitely at 4–8 °C39.
Discussion
One of the major challenges in the design of biosensors for cancer diagnosis is to develop a low-cost and selective probe that can recognize overexpressed cancer cell receptors. Here, we combined the phage display technology and EIS technology to develop a label-free cytosensor for the detection of cancer cells for the first time, without complicated purification of recognition elements. Experimental results demonstrated that the phage-based EIS cytosensor for SW620 colorectal carcinoma cells was label-free, ultrasensitive, selective, reliable and stable, benefitting from the inherent merits of both phage-displayed specific octapeptides and EIS technology.
On one hand, it is noteworthy that the multivalency and structure of landscape phage as the display scaffold of specific probes made significant contributions. First, due to the avidity effect of multicopy display on the surface of the phage, homologous octapeptides could exhibit enhanced affinities and high specificity55. Second, the filamentous structure of fd phage is flexible to present appropriate conformation for the interaction with the large-size cancer cell. Meanwhile, one cell generally has many biomarkers for recognition ligand52. This means that more recognition sites at cell could combine with more specific octapeptides at the flexible filamentous phage, and the recognition process would be more efficient and the binding was firmer. Third, the specific octapeptides on the phage scaffold were highly stable in complex environments so as to make the corresponding sensor stable and repeatable39. Fourth, landscape phage is harmless to animal cells and could enhance the biocompatibility of sensor. On the other hand, the superiority of the fabricated sensor was also derived from the inherent merits of EIS technology. First, since EIS technique can monitor the minute impedance changes of the electrode interface, the fabricated impedance cytosensor was ultrasensitive and label-free. Second, EIS is a nondestructive technique due to the small amplitude perturbation, leading to a stable and reliable biosensor. These superiorities were not met for other recognition elements. With regard to the phage-based biosensor, Penner et al. developed the M13 phage-based impedance biosensor for detection of antigen49. However, it is not clear regarding the specificity of the M13 phage. Further, the phage probe-based impedance biosensors have not yet been applied in the detection of cells. It is highly desirable to develop novel biosensors for cancer cells. Additionally, our strategy to screen specific probes based on our f8/8 landscape phage display library was more effective, because there are 4000 copies of specific octapeptides on one phage surface. That is to say, there are 4000 recognition sites for the targets, which could not be met by other phage display methods. Therefore, it is possible to realize the sensitive and selective detection of target cells.
In addition, the fabrication procedure of the cytosensor was simple. First, large-scale preparation of specific peptide-fused phage was simple and without complicated purification procedures39. Second, phage display provided a filamentous phage “carrier” for the specific probe and reduced the complicated steps of polypeptide immobilization (which generally required synthesis and purification of the free peptide, attachment of a linker to the biosensor and finally conjugation of the peptide) to the single phage bioconjugation step42,53. Third, the EIS technology makes the practical application of the label-free sensor free from the complicated process including the binding of label with specific molecular and the recognition of specific molecular to target cell.
In conclusion, we have presented strategy for specific peptide-fused phage-cytosensor for ultrasensitive detection of cancer cells. The proposed cytosensor exhibited wide linear detection range, low limit of detection, high specificity, good reproducibility and satisfactory storage stability. The excellent analytical performance of the phage-based sensor could be attributed to good biocompatibility of recombinant phage, high specificity of surface displayed octapeptides, nanostructure of fibrous phages themselves and the inherent merits of EIS technology. The phage-based label-free impedance cytosensor with accessible phage recognition elements, simple operation, excellent analytical performance, would provide alternative technique for cancer cell detection.
Methods
Chemicals and Materials
MPA, 2-(N-morpholino)-ethanesulfonic acid (MES), EDC and NHS were purchased from Sigma-Aldrich (St. Louis, USA). BSA, Dulbecco’s Modified Eagle Medium (DMEM) and fetal bovine serum (FBS) were obtained from Solarbio (Beijing, China). Tween 20 and polyethylene glycol (PEG) were from Sinopharm Chemical Reagent Co., Ltd. (Shanghai, China). All the other reagents were of analytical grade and were used as received without further purification. All solutions were prepared with Milli-Q water (18.0 MΩ cm). [Fe(CN)6]3−/4− solution was prepared with 10 mM K3Fe(CN)6, 10 mM K4Fe(CN)6 and 0.1 M KCl (as the supporting electrolyte) in sodium phosphate buffer (pH 7.4) and used as redox probe in the electrochemical detection system.
Cell Culture
Cultures of the target cells (SW620) and control cells (HEK293T and HepG2) have been described previously45. Briefly, the cells were cultured in the flask containing DMEM supplemented with 100 μg/ml penicillin, 100 μg/ml streptomycin and 10% FBS. After a period of culture in a humidified cell incubator with 5% CO2 at 37 °C, cells were trypsinized with 0.25% trypsin in PBS, collected by centrifugation at 1000 rpm for 5 min, and then washed twice with PBS buffer. The cell pellets were suspended as stock and diluted to different concentrations with PBS buffer for electrochemical measurements. The final concentration of stock was measured by a Petroff-Hausser cell counter.
Selection of the SW620 Cell-Specific Phages from the f8/8 Phage Library
The details for the selection of specific phage-displayed octapeptide by biopanning can be found in our previous work45. The preparation of the phage with the fusion octapeptides has been described previously by our co-workers35,36,56. The selected phages were simply amplified and cloned by inflecting E. coli K91 BlueKan host cells. Finally, phages were purified by PEG/NaCl precipitation, and then titrated57.
Fabrication of the Electrochemical Cytosensor
Before modification of the AuEs (3 mm in diameter), the AuEs were polished with 0.02 μm alumina slurry on microcloth pad, and washed ultrasonically with water. The AuEs were cleaned and activated by CV in 0.5 M H2SO4 solution for 40 cycles within the potential range of 0 − + 1.5 V at a scan rate of 0.1 V/s. After washing of AuEs, the cytosensors were fabricated by layer-by-layer self-assembly process. First, the AuEs were incubated in 0.25 M MPA aqueous solution for 12 h to form a saturated MPA monolayer followed by washing with water57. The carboxyl group of MPA was then activated by incubating the modified electrode in 0.1 M MES buffer (pH 5.0) containing 50 mM EDC and 30 mM NHS for 5 h in order to convert the terminal carboxylic group of MPA to active NHS ester57. Next, the modified electrodes were rinsed with PBS and incubated in phage solution (2.5 × 1011 vir/mL) at 4 °C for 6 h to bind the amino group of phage surface with carboxyl group of MPA. After thorough washing with the PBST to remove any unbound phage, the modified electrodes were blocked with 0.2% BSA in PBST for 30 min to reduce nonspecific binding of analytes or impurities. For the detection of cells, 10 μL of cell suspensions were dropped onto the surfaces of the modified electrodes and incubated at 37 °C under a humid condition for 1 h. Before electrochemical measurement, the phage-based electrochemical cytosensors were gently and thoroughly washed with PBS to remove any non-specifically adsorbed cells.
Apparatus and Measurements
UV absorption spectrum of displayed phage solution was performed on UV-1800 spectrophotometer (Shimadzu, Kyoto, Japan). Electrochemical measurements including EIS and CV were performed on a CHI 660D electrochemical workstation (CH Instruments, Chenhua, Shanghai, China) with a conventional three-electrode system composed of a modified electrode as a working electrode, a platinum wire as an auxiliary electrode and saturated calomel electrode (SCE) as reference electrode. All electrochemical measurements were carried out in [Fe(CN)6]3−/4− solution. The EIS spectra were recorded at 0.2 V within the frequency range of 10−1−105 Hz and the amplitude of 5.0 mV. AFM measurement was conducted in air at ambient pressure and humidity on the Agilent 5400 AFM system with tapping mode at scan rate of 0.5 line/s. Data analysis was performed with the Agilent technologies Picoview software 1.8.
Additional Information
How to cite this article: Han, L. et al. A Label-Free Electrochemical Impedance Cytosensor Based on Specific Peptide-Fused Phage Selected from Landscape Phage Library. Sci. Rep. 6, 22199; doi: 10.1038/srep22199 (2016).
Supplementary Material
Acknowledgments
This work was financially supported by National Natural Science Foundation of China (Nos 91227116, 21275152 and 21475144 to A.H.L.) and National Institute of Health US grant 1U54CA151881-0 (to V.A.P.).
Footnotes
Author Contributions A.H.L. and L.H. designed this research; L.H. and P.L.performed the experiments. V.A.P. helped phage display. All the coauthors analyzed the results, prepared and revised the manuscript.
References
- Finkel T., Serrano M. & Blasco M. A. The common biology of cancer and ageing. Nature 448, 767–774 (2007). [DOI] [PubMed] [Google Scholar]
- Maher J. & McConnell H. New pathways of care for cancer survivors: adding the numbers. Br. J. Cancer 105, S5–S10 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ray R. B., Raychoudhuri A., Steele R. & Nerurkar P. Bitter melon (Momordica charantia) extract inhibits breast cancer cell proliferation by modulating cell cycle regulatory genes and promotes apoptosis. Cancer Res. 70, 1925–1931 (2010). [DOI] [PubMed] [Google Scholar]
- Braunhut S. J. et al. Detection of apoptosis and drug resistance of human breast cancer cells to taxane treatments using quartz crystal microbalance biosensor technology. Assay Drug Dev. Technol. 3, 77–88 (2005). [DOI] [PubMed] [Google Scholar]
- El-Sayed I. H., Huang X. & El-Sayed M. A. Surface plasmon resonance scattering and absorption of anti-EGFR antibody conjugated gold nanoparticles in cancer diagnostics: applications in oiral cancer. Nano Lett. 5, 829–834 (2005). [DOI] [PubMed] [Google Scholar]
- Hirsch F. R., Franklin W. A., Gazdar A. F. & Bunn P. A. Early detection of lung cancer: clinical perspectives of recent advances in biology and radiology. Clin. Cancer. Res. 7, 5–22 (2001). [PubMed] [Google Scholar]
- Inoue H. et al. In vivo observation of living cancer cells in the esophagus, stomach, and colon using catheter-type contact endoscope, “endo-cytoscopy system”. Gastrointest. Endosc. Clin. N. Am. 14, 589–594 (2004). [DOI] [PubMed] [Google Scholar]
- Gress F. G. et al. Endoscopic ultrasonography, fine-needle aspiration biopsy guided by endoscopic ultrasonography, and computed tomography in the preoperative staging of non-small-cell lung cancer: a comparison study. Ann. Intern. Med. 127, 604–612 (1997). [DOI] [PubMed] [Google Scholar]
- Kaya T. et al. Monitoring the cellular activity of a cultured single cell by scanning electrochemical microscopy (SECM). A comparison with fluorescence viability monitoring. Biosens. Bioelectron. 18, 1379–1383 (2003). [DOI] [PubMed] [Google Scholar]
- Ge L. et al. Application of Au cage/Ru(bpy)32+ nanostructures for the electrochemiluminescence detection of K562 cancer cells based on aptamer. Sensors Actuators B: Chem. 214, 144–151 (2015). [Google Scholar]
- K’Owino I. O. & Sadik O. A. Impedance spectroscopy: a powerful tool for rapid biomolecular screening and cell culture monitoring. Electroanalysis 17, 2101–2113 (2005). [Google Scholar]
- Hong J. et al. Electrical cell-substrate impedance sensing as a non-invasive tool for cancer cell study. Analyst 136, 237–245 (2011). [DOI] [PubMed] [Google Scholar]
- Guo X. et al. Carbohydrate-based label-free detection of Escherichia coli ORN 178 using electrochemical impedance spectroscopy. Anal. Chem. 84, 241–246 (2011). [DOI] [PubMed] [Google Scholar]
- Daniels J. S. & Pourmand N. Label-free impedance biosensors: opportunities and challenges. Electroanalysis 19, 1239–1257 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Suni I. I. Impedance methods for electrochemical sensors using nanomaterials. TrAC, Trends Anal. Chem. 27, 604–611 (2008). [Google Scholar]
- Lisdat F. & Schäfer D. The use of electrochemical impedance spectroscopy for biosensing. Anal. Bioanal. Chem. 391, 1555–1567 (2008). [DOI] [PubMed] [Google Scholar]
- Yang L., Li Y. & Erf G. F. Interdigitated array microelectrode-based electrochemical impedance immunosensor for detection of Escherichia coli O157:H7. Anal. Chem. 76, 1107–1113 (2004). [DOI] [PubMed] [Google Scholar]
- Maalouf R. et al. Label-free detection of bacteria by electrochemical impedance spectroscopy: comparison to surface plasmon resonance. Anal. Chem. 79, 4879–4886 (2007). [DOI] [PubMed] [Google Scholar]
- Zhang J.-J., Cheng F.-F., Zheng T.-T. & Zhu, J.-J. Design and implementation of electrochemical cytosensor for evaluation of cell surface carbohydrate and glycoprotein. Anal. Chem. 82, 3547–3555 (2010). [DOI] [PubMed] [Google Scholar]
- Wan Y., Zhang D. & Hou B. Monitoring microbial populations of sulfate-reducing bacteria using an impedimetric immunosensor based on agglutination assay. Talanta 80, 218–223 (2009). [DOI] [PubMed] [Google Scholar]
- Subrahmanyam S., Piletsky S. A. & Turner A. P. F. Application of natural receptors in sensors and assays. Anal. Chem. 74, 3942–3951 (2002). [DOI] [PubMed] [Google Scholar]
- Labib M. et al. Aptamer-based viability impedimetric sensor for bacteria. Anal. Chem. 84, 8966–8969 (2012). [DOI] [PubMed] [Google Scholar]
- Hu C. et al. Improved EIS performance of an electrochemical cytosensor using three-dimensional architecture Au@BSA as sensing layer. Anal. Chem. 85, 5200–5206 (2013). [DOI] [PubMed] [Google Scholar]
- Cao H. et al. Protein-inorganic hybrid nanoflowers as ultrasensitive electrochemical cytosensing Interfaces for evaluation of cell surface sialic acid. Biosens. Bioelectron. 68, 329–335 (2015). [DOI] [PubMed] [Google Scholar]
- Gamella M. et al. Microorganisms recognition and quantification by lectin adsorptive affinity impedance. Talanta 78, 1303–1309 (2009). [DOI] [PubMed] [Google Scholar]
- Labib M. et al. Aptamer-based impedimetric sensor for bacterial typing. Anal. Chem. 84, 8114–8117 (2012). [DOI] [PubMed] [Google Scholar]
- Mannoor M. S., Zhang S., Link A. J. & McAlpine M. C. Electrical detection of pathogenic bacteria via immobilized antimicrobial peptides. Proc. Natl. Acad. Sci. 107, 19207–19212 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ngundi M. M., Kulagina N. V., Anderson G. P. & Taitt C. R. Nonantibody-based recognition: alternative molecules for detection of pathogens. Expert Rev. Proteomic. 3, 511–524 (2006). [DOI] [PubMed] [Google Scholar]
- Qi H., Lu, H., Qiu H.-J., Petrenko V. & Liu A. Phagemid vectors for phage display: properties, characteristics and construction. J. Mol. Biol. 417, 129–143 (2012). [DOI] [PubMed] [Google Scholar]
- Petrenko V. A., Smith G. P., Gong X. & Quinn T. A library of organic landscapes on filamentous phage. Protein Eng. 9, 797–801 (1996). [DOI] [PubMed] [Google Scholar]
- Mao C., Liu A. & Cao B. Virus-based chemical and biological sensing. Angew. Chem. Int. Ed. 48, 6790–6810 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Neltner B. et al. Production of hydrogen using nanocrystalline protein-templated catalysts on M13 phage. ACS Nano 4, 3227–3235 (2010). [DOI] [PubMed] [Google Scholar]
- Mao C. et al. Virus-based toolkit for the directed synthesis of magnetic and semiconducting nanowires. Science 303, 213–217 (2004). [DOI] [PubMed] [Google Scholar]
- Peng W.-P. et al. Identification of a conserved linear B-cell epitope at the N-terminus of the E2 glycoprotein of classical swine fever virus by phage-displayed random peptide library. Virus Res. 135, 267–272 (2008). [DOI] [PubMed] [Google Scholar]
- Abbineni G. et al. Evolutionary selection of new breast cancer cell-targeting peptides and phages with the cell-targeting peptides fully displayed on the major coat and their effects on actin dynamics during cell internalization. Mol. Pharm. 7, 1629–1642 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lang Q. et al. Specific probe selection from landscape phage display library and its application in enzyme-linked immunosorbent assay of free prostate-specific antigen. Anal. Chem. 86, 2767–2774 (2014). [DOI] [PubMed] [Google Scholar]
- Molek P., Strukelj B. & Bratkovic, T. Peptide phage display as a tool for drug discovery: targeting membrane receptors. Molecules 16, 857–887 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arter J. A. et al. Virus–polymer hybrid nanowires tailored to detect prostate-specific membrane antigen. Anal. Chem. 84, 2776–2783 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petrenko V. A. & Vodyanoy V. J. Phage display for detection of biological threat agents. J. Microbiol. Methods 53, 253–262 (2003). [DOI] [PubMed] [Google Scholar]
- Petrenko V. A. & Smith G. P. Phages from landscape libraries as substitute antibodies. Protein Eng. 13, 589–592 (2000). [DOI] [PubMed] [Google Scholar]
- Brigati J. et al. Diagnostic probes for Bacillus anthracis spores selected from a landscape phage library. Clin. Chem. 50, 1899–1906 (2004). [DOI] [PubMed] [Google Scholar]
- Yang L.-M. C. et al. Covalent virus layer for mass-based biosensing. Anal. Chem. 80, 933–943 (2008). [DOI] [PubMed] [Google Scholar]
- Qi, H., Wang F., Petrenko, V. A. & Liu A. Peptide microarray with ligands at high density based on symmetrical carrier landscape phage for detection of cellulase. Anal. Chem. 86, 5844–5850 (2014). [DOI] [PubMed] [Google Scholar]
- Guan R. J. et al. Drg-1 as a differentiation-related, putative metastatic suppressor gene in human colon cancer. Cancer Res. 60, 749–755 (2000). [PubMed] [Google Scholar]
- Wang F. et al. Bio-mimetic nanostructure self-assembled from Au@Ag heterogeneous nanorods and phage fusion proteins for targeted tumor optical detection and photothermal therapy. Sci. Rep. 4, 6808 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pejcic B. & De Marco R. Impedance spectroscopy: over 35 years of electrochemical sensor optimization. Electrochim. Acta 51, 6217–6229 (2006). [Google Scholar]
- Chen Y., Yang Y. & Tu, Y. An electrochemical impedimetric immunosensor for ultrasensitive determination of ketamine hydrochloride. Sensors Actuators B: Chem. 183, 150–156 (2013). [Google Scholar]
- Xiao F. et al. A monoclonal antibody-based immunosensor for detection of Sudan I using electrochemical impedance spectroscopy. Talanta 84, 204–211 (2011). [DOI] [PubMed] [Google Scholar]
- Yang L.-M. C. et al. Direct electrical transduction of antibody binding to a covalent virus layer using electrochemical impedance. Anal. Chem. 80, 5695–5705 (2008). [DOI] [PubMed] [Google Scholar]
- Feng L., Chen Y., Ren J. & Qu X. A graphene functionalized electrochemical aptasensor for selective label-free detection of cancer cells. Biomaterials 32, 2930–2937 (2011). [DOI] [PubMed] [Google Scholar]
- Tepeli, Y., Demir B., Timur S. & Anik U. An electrochemical cytosensor based on a PAMAM modified glassy carbon paste electrode. RSC Advances 5, 53973–53978 (2015). [Google Scholar]
- Xu Y. et al. Sensitive detection of tumor cells by a new cytosensor with 3D-MWCNTs array based on vicinal-dithiol-containing proteins (VDPs). Biosens. Bioelectron. 66, 321–326 (2015). [DOI] [PubMed] [Google Scholar]
- Cheng W. et al. Effective cell capture with tetrapeptide-functionalized carbon nanotubes and dual signal amplification for cytosensing and evaluation of cell surface carbohydrate. Anal. Chem. 80, 3867–3872 (2008). [DOI] [PubMed] [Google Scholar]
- Huang, B. et al. Electrochemical impedance spectroscopy study on polymerization of L-lysine on electrode surface and its application for immobilization and detection of suspension cells. Anal. Chem. 86, 6940–6947 (2014). [DOI] [PubMed] [Google Scholar]
- Murase K. et al. EF-Tu Binding Peptides Identified, Dissected, and Affinity Optimized by Phage Display. Chem. Biol. 10, 161–168 (2003). [DOI] [PubMed] [Google Scholar]
- Sorokulova I. B. et al. Landscape phage probes for Salmonella typhimurium. J. Microbiol. Methods 63, 55–72 (2005). [DOI] [PubMed] [Google Scholar]
- Limbut W. et al. A comparative study of capacitive immunosensors based on self-assembled monolayers formed from thiourea, thioctic acid, and 3-mercaptopropionic acid. Biosens. Bioelectron. 22, 233–240 (2006). [DOI] [PubMed] [Google Scholar]
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