Abstract
We developed a novel detection method for osteopontin (OPN), a new biomarker for prostate cancer, by attaching a genetically engineered single chain variable fragment (scFv) protein with high binding affinity for OPN to a carbon nanotube field-effect transistor (NTFET). Chemical functionalization using diazonium salts is used to covalently attach scFv to NT-FETs, as confirmed by atomic force microscopy, while preserving the activity of the biological binding site for OPN. Electron transport measurements indicate that functionalized NT-FET may be used to detect the binding of OPN to the complementary scFv protein. A concentration-dependent increase in the source-drain current is observed in the regime of clinical significance, with a detection limit of approximately 30 fM. The scFv-NT hybrid devices exhibit selectivity for OPN over other control proteins. These devices respond to the presence of OPN in a background of concentrated bovine serum albumin, without loss of signal. Based on these observations, the detection mechanism is attributed to changes in scattering at scFv protein-occupied defect sites on the carbon nanotube sidewall. The functionalization procedure described here is expected to be generalizable to any antibody containing an accessible amine group, and to result in biosensors appropriate for detection of corresponding complementary proteins at fM concentrations.
Keywords: Biosensor, carbon nanotube, field effect transistor, cancer diagnostics
Prostate cancer (CaP) is a major public health issue as the most commonly diagnosed cancer and second leading cause of cancer deaths among American men.1 Detection of early-stage cancer often results in successful treatment, with long-term disease-free survival in 60–90% of patients. One methodology for early disease detection is biomarker sensing and quantification through use of specialized assays. Biomarkers of cancer are molecular or tissue-based signatures of disease that provide either diagnostic or prognostic insight into disease etiology and/or progression. In the case of CaP, levels of Prostate Specific Antigen (PSA) in patient serum above 4 ng/mL2 have traditionally been used as a predictive biomarker of disease. However, PSA tests are prone to both false positives and false negatives, causing healthy men to undergo unnecessary medical procedures as well as men with cancer to go undiagnosed.3 This has resulted in the utility of PSA as a broad-based screening tool being called into question and supports the need for identification of additional biomarkers of CaP. One potential new biomarker of CaP is Osteopontin (OPN).4 OPN is a proinflammatory cytokine that regulates bone homeostasis through its effects on osteoclast function.5 OPN is being investigated both as a therapeutic target and as a biomarker for diseases such as arthritis and cancer.6, 7 Progression of CaP, as well as other cancers, is often associated with metastasis to bone. OPN is thought to play a role in the metastatic process and development of metastatic disease correlates with increased serum levels of OPN.8 Monoclonal antibodies (mAbs) specific for OPN, such as the 23C3 mAb, represent promising therapeutic and diagnostic agents.9, 10 Traditional protein detection methods such as ELISA are quite sensitive, but have proven problematic for quantification of OPN.11 They also require pure samples, lengthy processing times, expertise in molecular biology, and could be expensive.12 As a result, cost efficient, easy to implement immunosensors with comparable or better sensitivity than an ELISA assay would be highly desirable. Recently, it was reported that biosensors based on semiconducting nanowire field effect transistors (FETs) achieved detection limits for PSA of 5 pM for time domain measurement and 150 fM for frequency domain measurements that require more complex electronic instrumentation.13 This motivated us to explore whether further sensitivity enhancements could be achieved through the use of carbon nanotube FETs tightly coupled to engineered antibody elements.
Carbon nanotube field effect transistors (NT FETs) provide a unique transduction platform for chemical and biomolecular detection.14–16 Tailored and specific detection may be accomplished by chemically functionalizing the NT FET with a selected antibody to create a hybrid nanostructure. Proteins that bind to the hybrid alter the electrical properties of the NT FET via several mechanisms,17 allowing direct detection as a change in the transistor conduction properties such as threshold voltage or ON state current. Ease of fabrication, well-understood carbon surface chemistry, and fast electronic readout make NT FET-based hybrids desirable as sensors in either an antibody-antigen detection scheme or as a vapor sensor suitable for more complex system architectures characteristic of mammalian olfaction.18–21 Large arrays of such devices could potentially assist medical diagnosis through simultaneous measurement of hundreds of biomarkers using a single small-volume sample.22–24
The binding specificity inherent in mAbs makes them promising agents for use as both targeted therapies and as reagents for detecting biomarkers of disease. The murine mAb 23C3 recognizes a conserved, linear peptide (43WLNPDP48) within OPN. When administered to animals the 23C3 immunoglobulin (IgG) induced a therapeutic response in a collagen-induced model of arthritis6 and led to its humanization (Hu23C3) through a CDR-grafting approach in preparation for transition into clinical trial.25 Effective use of targeted therapies for the treatment of cancer and other diseases requires paired diagnostic tests to detect the presence or absence of relevant biomarkers.
In this study we have engineered the 23C3 mAb into a single-chain variable fragment (scFv) antibody.26 ScFv antibodies are comprised of the variable heavy and variable light domains of the parental IgG, fused by a short peptide linker, and retain the antigen binding properties of the intact IgG. The 23C3 mAb was converted to an scFv in an effort to optimize its structure for use on NT FET-based biosensors for the detection of OPN in bodily fluids. Here we found that the 23C3 scFv retains its ability to bind OPN, which should allow it to be an effective diagnostic surrogate for the Hu23C3 therapeutic antibody. In addition, its small size compared to the parental IgG (25kDa and 150 kDa, respectively) is hypothesized to provide advantages over the parental IgG when used for production of NT FET-based biosensors. First, scFv can be expressed in a bacterial cell system that improves both the speed and cost of goods associated with their production as compared to traditional IgGs. Second, the scFv is comprised entirely of the antigen-binding domain of the 23C3. Thus, antigen binding by an immobilized scFv is hypothesized to bring OPN into closer proximity to the NTFET surface, as compared to what would occur with an intact IgG. This should result a greater impact on the electrical properties of the device and potentially improve the sensitivity of detection.
Here we report successful fabrication of NT FETs covalently functionalized with the 23C3 scFv, as evidenced by Atomic Force Microscopy and electronic measurements. We observed an antigenspecific, concentration-dependent sensor response to OPN in buffer; measured responses from a collection of 10–15 devices could be used to reliably differentiate between pure buffer solution and buffer containing OPN at a concentration of 1 pg/mL, or 30 fM. The response as a function of concentration was well fit by a model based on the Hill-Langmuir equation of equilibrium thermodynamics.
Results and Discussion
NT FET devices were fabricated as described in the Methods section. Briefly, NTs were grown by catalytic chemical vapor deposition, and electrical contacts were patterned using a photolithographic technique that is optimized to leave a chemically clean NT sidewall.27 Pristine sp2-bonded carbon is chemically inert, so steps must be taken to create a defect on which to bind proteins (Figure 1). An Atomic Force Microscope image of a representative sample and a sample schematic are presented in Supplemental Figure 1 in the Supporting Information. Diazonium salt treatment28 was used to create sp3-bonded sites along the nanotube terminated in a carboxylic acid group that was used for further attachment chemistry. Raman spectroscopy measurements showed an increase in the ratio of the intensity of the D band to the G band after diazonium salt treatment, consistent with the creation of covalent bonds to the NT sidewall (see Supplemental Figure 2 in the Supporting Information).29
The diazonium treatment step was followed by activation and stabilization of the attachment site with 1-ethyl-3-[3-dimethylaminopropyl]carbodiimide hydrochloride/sulfo- Nhydroxysuccinimide (EDC/NHS).21 Amine groups associated with lysine residues on scFv proteins were expected to displace NHS in the subsequent attachment step to form a covalent bond between the scFv and the NT through the phenolic linker. A careful washing procedure was employed to minimize scFv binding to the substrate. We expect that the chemical functionalization procedure used here for the scFv derived from the 23C3 mAb30 may be generalized to broad classes of protein that have a free amine group on their exterior.
Preferential attachment of scFv antibodies to NTs was confirmed by Atomic Force Microscopy (AFM) (Fig. 2a). The linear density of attached scFv antibodies was found to be approximately 4–5 per μm of NT length. Line scans from the AFM images were used to calculate the size of ~180 features presumed to be scFv antibodies covalently bound to NTs and these data were used to form a histogram shown in Fig. 2b. The histogram had its maximum at ~ 2.5 nm, with secondary maxima at 5 nm and 7.5 nm. We attribute the primary maximum to attachment of single anti- OPN scFv molecules, and note that a molecular diameter of 2.5 nm is consistent with their mass of 25 kDa; the other maxima are attributed to small scFv aggregates. We conducted a control experiment to establish that NTs and the NT-SiO2 interface show very low affinity for nonspecific binding of the scFv and OPN; details are provided in Supplemental Figure 3 of the Supporting Information.
We measured the current-gate voltage (I–Vg) characteristic of an individual NT FET device after each chemical modification to monitor the effect of the chemical functionalization and confirm attachment of scFv antibodies (Fig. 3). The most sensitive parameters were the threshold voltage where the FET current decreases most sharply and the ON state current carried by the device for very negative values of the gate voltage. The diazonium treatment was found to shift the turn-off voltage shifted by about -3V, and it reduced the ON state current by 50–90%, consistent with increased electron scattering due to generation of defects on the NT sidewall. EDC/NHS treatment caused almost no change in the turn-off voltage and a slight decrease in the ON state current. ScFv attachment did not change the turn-off voltage and led to a small increase in the ON state current, attributed to a reduction in carrier scattering due to the presence of the protein compared to that associated with NHS/EDC activation.
To test the sensitivity of the device to exposure to OPN, a 10 μL droplet of PBS buffer containing OPN at a known concentration was placed on the sensor and left to incubate for 20 minutes in a humid environment, followed by careful washing with DI water. The 20-min incubation time we used should allow OPN molecules to diffuse distances of order 300 μm, which we expect is sufficient to establish equilibrium between bound and unbound species even at the lowest concentration used (1 pg/mL, equal to approximately 30 fM).31, 32 Each device tested was used for a single measurement at a fixed OPN concentration to avoid contamination of the samples. The ON state current proved to be very sensitive to the presence of OPN and showed a reproducible increase after exposure to OPN (Fig. 3). The response is reported as ΔI/I, the percentage increase in ON state current from the scFv functionalized state to the state following OPN exposure, which is found to account well for device-to-device resistance variations.
The device response varied systematically with OPN concentration as shown in Figure 4. Each data point in the plot was generated by averaging the responses of 10–15 functionalized NT FET devices tested against a solution with the same concentration of OPN; the error bar shown is the standard error of the mean. To generate a fit to the data, we used a model where the device response was comprised of two additive components: an offset response, Z, due to incubation in pure buffer with no OPN and a response that is directly proportional to the probability that an OPN binding site is occupied. This motivated a fit based on a modified Hill-Langmuir equation describing ligand-receptor binding in equilibrium.33
Here c is the OPN concentration, A is the response when all binding sites are occupied, Z is an overall offset to account for the response to pure buffer, Kd is the dissociation constant, and n is the Hill coefficient describing cooperativity of binding. The best fit to the data yielded a maximum response A = 27%, offset parameter Z = 4%, dissociation constant Kd = 560 pg/mL, and n = 0.20. The maximum response A and the offset parameter Z were constrained to values that were sensible based on the response data and buffer response respectively while n and Kd were free to vary. The best fit value of the offset parameter Z = 4% was in good agreement with the measured responses of devices to pure buffer (ΔI/I = 2.2 ± 1.8%, see Fig. 5). The value of Kd (17 pM) obtained by the NT FETs is lower than the value of Kd derived from SPR measurements (290 pM; see Supplemental Figure 4 in the Supporting Information). This difference may be explained by the fact that SPR is performed under conditions of buffer flow that preclude re-binding of the OPN to the anti-OPN scFv during the dissociation phase measurements. In contrast, the static conditions used with the NT FET devices likely allow for re-binding, slowing the effective off-rate and resulting in the lower apparent value of Kd. Interestingly, the values derived from the NT FET data are equivalent to those predicted for the Hu23C3 mAb derived from ELISA-based methods25 which are taken under static conditions similar to the conditions of the experiments described here. The best fit value n = 0.20 indicates negative cooperativity in the binding of OPN to the 23C3 scFv in the context of the NT FET biosensor. This could be due to inhibition of multiple OPN molecules binding to small aggregates or clusters of scFv due to steric hinderance. The data presented in Fig. 4 show that the measured responses from a collection of 10–15 devices could be used to reliably differentiate between pure buffer solution (ΔI/I = 2.2 ± 1.8%, see Fig. 5) and buffer containing OPN at a concentration of 1 pg/mL, or 30 fM (ΔI/I = 9.0 ± 3.0%).
The precise mechanism for the observed sensing response remains to be determined. Qualitatively, an increase in ON state current implies a reduction in carrier scattering upon OPN binding. One possible explanation is that charged sites on the scFv surface are neutralized by opposite charges associated with bound OPN, leading to reduced fluctuations in the electrostatic potential at the NT surface. OPN is known to be a highly acidic protein, with a predicted pI = 4.2,34 and is therefore expected to have a net negative charge in the buffer solution (pH = 7.6). Even in the absence of a quantitative understanding of the device response, our results provide strong evidence that the methods used here enabled attachment of engineered proteins to a NT FET while maintaining both the high quality electronic characteristics of the NT device and the chemical recognition functionality characteristic of the protein.
Control experiments were conducted to test the assumption that scFv molecules bound to NT devices with this approach retained specificity for their target antigen. In the first experiment, scFv-functionalized sensors were incubated in a solution of bovine serum albumin (BSA) at high concentration (450 ng/mL) to approximate the effect of non-specific proteins present in patient samples. The devices were found to give a null response of −0.24 % ± 3.87% (Figure 5), supporting the notion that the scFv antibodies bound to the NT sidewall retained their specificity for OPN. In a second test of antigen specificity, we functionalized NT FET devices with a different scFv based on the clinically validated therapeutic monoclonal antibody trastuzumab.35 Trastuzumab, and the derived 4D5 scFv, binds to the HER2 receptor tyrosine kinase, which is implicated in breast cancer formation and progression.35 Surface Plasmon Resonance (SPR) measurements show that the 4D5 scFv binds to HER2 with a KD of 1.9 nM,36 equivalent to the binding affinity of 23C3 for OPN, and they also show that the 4D5 scFv exhibits no binding to OPN (see Supplemental Figure 5 in the Supporting Information). As detailed in Figure 5, 4D5-functionalized devices show no response after exposure to OPN at 100 ng/mL, consistent with the SPR data. We also measured the response of 23C3 scFv-functionalized devices to a mixture of OPN (90 ng/mL) and BSA (450 ng/mL) to partially simulate the complexity characteristic of clinical samples. The sensor response of ~ 26% was statistically identical to that observed for devices exposed to pure OPN (see Fig. 5). These control experiments suggest that anti-OPN 23C3 scFv-functionalized carbon nanotube sensors exhibit a high level of specificity for OPN, the target ligand.
Conclusions
We demonstrated that biosensor devices comprised of high affinity, engineered antibodies coupled to sensitive carbon nanotube transduction elements were capable of detecting prostate cancer biomarker at concentrations as low as 1 pg/mL (30 fM), three orders of magnitude lower than ELISA immunoassays, the current clinical standard.37 The experiments showed an antigenspecific, concentration-dependent sensor response over a wide range of concentrations (1 pg/ml – 1 μg/ml) that was in excellent quantitative agreement with a model based on the Hill- Langmuir equation of equilibrium thermodynamics. Control experiments indicated that the anti- OPN scFv retains its highly specific binding characteristics when integrated into the hybrid nanostructure. Exposing the sensor to PBS buffer that contained a high concentration of bovine serum albumin did not induce a sensing response, and devices functionalized with 4D5 scFv, which binds specifically to HER2 and not to OPN, did not produce a sensing response upon exposure to OPN. We explored the response of the device to protein mixtures and found that the response to OPN in a concentrated protein background was equal to that measured for OPN in pure buffer. These observations make us optimistic that this device concept may be generalized to many other protein species and is perhaps suitable for translation into a useful tool to help diagnose disease and guide its treatment.
Methods
Device Fabrication
Silicon (p++ doped) wafers with 500 nm thermally grown oxide were covered with randomly dispersed iron nitrate catalyst. Carbon nanotubes were grown at 900°C via chemical vapor deposition with methane feedstock in an argon/hydrogen reducing atmosphere as published previously.15 Source and drain electrodes separated by 2.5 μm were patterned photolithographically directly on the carbon nanotube network with a bilayer resist process of PMGI and Shipley 1813 followed by metal deposition (5 nm Ti/40nm Pd) in a thermal evaporator. Liftoff in acetone and Microposit CD-26 was followed by a brief anneal in Ar/H2 at 350°C to remove photoresist residues.27 Device current-gate voltage (I–VG) characteristics were measured under ambient laboratory conditions. Only carbon nanotube transistors with ON/OFF ratios greater than 100 and differences between turn-on voltage and turn-off voltage less than 6 V were used in subsequent measurements.
Expression and Purification of anti-OPN 23C3 scFv
A gene encoding the 23C3 scFv, in a Vhlinker- Vl orientation, was synthesized based on the publically available amino acid sequence (PDB ID: 3CXD) and with a codon usage bias for expression in E. coli. The gene was cloned into the pSYN2 expression vector as an NcoI/XhoI fragment and the protein was purified to a level of 0.2 mg/L of culture from the periplasmic space of TG1 E. coli by sequential Ni-NTA and size exclusion chromatography as previously described.38 For use as a control, the hu4D5 anti-HER2 scFv corresponding to the FDA-approved mAb trastauzumab, was synthesized from the publically available amino acid sequence in a Vl-linker-Vh orientation as previously described,39 expressed in TG1 E. coli and purified as described for 23C3 scFv.
Functionalization
NTFETs were first functionalized using 4-carboxybenzene diazonium tetrafluoroborate that we synthesized according to a published recipe.40 Devices were immersed in diazonium salt solution (2.5 mg/mL deionized water) for 1 hour at 40°C to create multiple sp3 hybridized sites along the nanotube ending in a carboxylic acid group.21 After incubation in a water bath, devices were rinsed in acetone, methanol and DI water. The carboxylic acid groups were then activated and stabilized in a solution of EDC and NHS at concentrations of 6 mg and 16 mg per 15 mL MES buffer respectively for 15 minutes at room temperature followed by a DI water rinse. A solution of scFv antibodies (1 μg/mL) and pH 7.3 was then pipetted onto the devices in a humid environment to keep the solution from evaporating, causing NHS-stabilized sites to be displaced by scFv protein over an incubation period of one hour. After incubation with protein solution, chips are dipped in a DI water bath and agitated for 1 min. Chips are then removed and placed in a second DI water bath without drying and agitated again for 1 min. Chips are then blown dry in a gentle (less than 20 psi) stream of nitrogen.
Supplementary Material
Acknowledgments
This research was supported by the Department of Defense US Army Medical Research and Materiel Command through grants W81XWH-09-1-0205 and W81XWH-09-1-0206. We acknowledge support of NIH Core Grant CA06927 (MKR) and use of facilities associated with the Nano/Bio Interface Center, National Science Foundation NSEC DMR08-32802 (ATCJ).
Footnotes
Supporting Information Available: Information concerning the sample geometry, Raman spectra showing the effect of diazonium treatment. Control experiment to exclude non-specific binding of proteins to NTs. chemical functionalization of carbon nanotube devices. Surface Plasmon Resonance Analysis of binding affinities of scFvs. This information is available free of charge via the Internet at http://pubs.acs.org.
References
- 1.Group, U. S. C. S. W; C. f. D. C. a. P. a. N. C. I. United States Cancer Statistics: 1999–2007 Incidence and Mortality Web-Based Report. U.S. Department of Health and Human Services; Atlanta: 2010. [Google Scholar]
- 2.Thompson IM, Pauler DK, Goodman PJ, Tangen CM, Lucia MS, Parnes HL, Minasian LM, Ford LG, Lippman SM, Crawford ED, et al. Prevalence of Prostate Cancer among Men with a Prostate-Specific Antigen Level <= 4.0 Ng Per Milliliter. N Engl J Med. 2004;350:2239–2246. doi: 10.1056/NEJMoa031918. [DOI] [PubMed] [Google Scholar]
- 3.Smith DS, Humphrey PA, Catalona WJ. The Early Detection of Prostate Carcinoma with Prostate Specific Antigen - The Washington University Experience. Cancer. 1997;80:1852–1856. [PubMed] [Google Scholar]
- 4.Fedarko NS, Jain A, Karadag A, Van Eman MR, Fisher LW. Elevated Serum Bone Sialoprotein and Osteopontin in Colon, Breast, Prostate, and Lung Cancer. Clinical Cancer Research. 2001;7:4060–4066. [PubMed] [Google Scholar]
- 5.Sodek J, Ganss B, McKee MD. Osteoponitn. Critical Reviews in Oral Biology and Medicine. 2000;11:279–303. doi: 10.1177/10454411000110030101. [DOI] [PubMed] [Google Scholar]
- 6.Morimoto J, Kon S, Matsui Y, Uede T. Osteopontin as a Target Molecule for the Teratment of Inflammatory Diseases. Curr Drug Targets. 2010;11:494–505. doi: 10.2174/138945010790980321. [DOI] [PubMed] [Google Scholar]
- 7.Bellahcene A, Castronovo V, Ogbureke KU, Fisher LW. Fedarko, N. S., Small Integrin-Binding Ligand N-Linked Glycoproteins (Siblings): Multifunctional Proteins in Cancer. Nat Rev Cancer. 2008;8:212–226. doi: 10.1038/nrc2345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hotte SJ, Winquist EW, Stitt L, Wilson SM, Chambers AF. Plasma Osteopontin: Associations with Survival and Metastasis to Bone in Men with Hormone-Refractory Prostate Carcinoma. Cancer. 2002;95:506–512. doi: 10.1002/cncr.10709. [DOI] [PubMed] [Google Scholar]
- 9.Fan K, Dai J, Wang H, Wei H, Cao Z, Hou S, Qian W, Li B, Zhao J, Xu H, et al. Treatment of Collagen-Induced Arthritis with an Anti-Osteopontin Monoclonal Antibody through Promotion of Apoptosis of Both Murine and Human Activated T Cells. Arthritis and Rheumatism. 2008;58:2041–2052. doi: 10.1002/art.23490. [DOI] [PubMed] [Google Scholar]
- 10.Anborgh PH, Wilson SM, Tuck AB, Winquist E, Schmidt N, Hart R, Kon S, Maeda M, Uede T, Stitt LW, et al. New Dual Monoclonal Elisa for Measuring Plasma Osteopontin as a Biomarker Associated with Survival in Prostate Cancer: Clinical Validation and Comparison of Multiple Elisas. Clinical Chemistry. 2009;55:895–903. doi: 10.1373/clinchem.2008.117465. [DOI] [PubMed] [Google Scholar]
- 11.Plumer A, Duan H, Subramaniam S, Lucas FL, Miesfeldt S, Ng AK, Liaw L. Development of Fragment-Specific Osteopontin Antibodies and Elisa for Quantification in Human Metastatic Breast Cancer. BMC Cancer. 2008;8:38. doi: 10.1186/1471-2407-8-38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ward AM, Catto JW, Hamdy FC. Prostate Specific Antigen: Biology, Biochemistry and Available Commercial Assays. Annals of Clinical Biochemistry. 2001;38:633–651. doi: 10.1258/0004563011901055. [DOI] [PubMed] [Google Scholar]
- 13.Gao X, Zheng G, Lieber CM. Subthreshold Regime Has the Optimal Sensitivity for Nanowire Fet Sensors. Nano Lett. 2010;10:547–552. doi: 10.1021/nl9034219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Chen RJ, Choi HC, Bangsaruntip S, Yenilmez E, Tang XW, Wang Q, Chang YL, Dai HJ. An Investigation of the Mechanisms of Electronic Sensing of Protein Adsorption on Carbon Nanotube Devices. J Am Chem Soc. 2004;126:1563–1568. doi: 10.1021/ja038702m. [DOI] [PubMed] [Google Scholar]
- 15.Staii C, Chen M, Gelperin A, Johnson AT. DNA-Decorated Carbon Nanotubes for Chemical Sensing. Nano Lett. 2005;5:1774–1778. doi: 10.1021/nl051261f. [DOI] [PubMed] [Google Scholar]
- 16.Allen BL, Kichambare PD, Star A. Carbon Nanotube Field-Effect-Transistor-Based Biosensors. Adv Mater. 2007;19:1439–1451. [Google Scholar]
- 17.Heller I, Janssens AM, Mannik J, Minot ED, Lemay SG, Dekker C. Identifying the Mechanism of Biosensing with Carbon Nanotube Transistors. Nano Lett. 2008;8:591–595. doi: 10.1021/nl072996i. [DOI] [PubMed] [Google Scholar]
- 18.Star A, Gabriel JCP, Bradley K, Gruner G. Electronic Detection of Specific Protein Binding Using Nanotube Fet Devices. Nano Lett. 2003;3:459–463. [Google Scholar]
- 19.Kuang ZF, Kim SN, Crookes-Goodson WJ, Farmer BL, Naik RR. Biomimetic Chemosensor: Designing Peptide Recognition Elements for Surface Functionalization of Carbon Nanotube Field Effect Transistors. ACS Nano. 2010;4:452–458. doi: 10.1021/nn901365g. [DOI] [PubMed] [Google Scholar]
- 20.So HM, Park DW, Jeon EK, Kim YH, Kim BS, Lee CK, Choi SY, Kim SC, Chang H, Lee JO. Detection and Titer Estimation of Escherichia Coli Using Aptamer- Functionalized Single-Walled Carbon-Nanotube Field-Effect Transistors. Small. 2008;4:197–201. doi: 10.1002/smll.200700664. [DOI] [PubMed] [Google Scholar]
- 21.Goldsmith BR, Mitala JJ, Josue J, Castro A, Lerner MB, Bayburt TH, Khamis SM, Jones RA, Brand JG, Sligar SG, et al. Biomimetic Chemical Sensors Using Nanoelectronic Readout of Olfactory Receptor Proteins. ACS Nano. 2011;5:5408–5416. doi: 10.1021/nn200489j. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kim SN, Rusling JF, Papadimitrakopoulos F. Carbon Nanotubes for Electronic and Electrochemical Detection of Biomolecules. Adv Mater. 2007;19:3214–3228. doi: 10.1002/adma.200700665. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Cao Q, Rogers JA. Ultrathin Films of Single-Walled Carbon Nanotubes for Electronics and Sensors: A Review of Fundamental and Applied Aspects. Adv Mater. 2009;21:29–53. [Google Scholar]
- 24.Sanchez S, Fabregas E, Pumera M. Detection of Biomarkers with Carbon Nanotube- Based Immunosensors. Methods in Molecular Biology. 2010;625:227–237. doi: 10.1007/978-1-60761-579-8_19. [DOI] [PubMed] [Google Scholar]
- 25.Fan K, Zhang B, Yang H, Wang H, Tan M, Hou S, Qian W, Li B, Wang H, Dai J, et al. A Humanized Anti-Osteopontin Antibody Protects from Concanavalin a Induced-Liver Injury in Mice. Eur J Pharmacol. 2011;657:144–151. doi: 10.1016/j.ejphar.2011.01.041. [DOI] [PubMed] [Google Scholar]
- 26.Holliger P, PJH Engineered Antibody Fragments and the Rise of Single Domains. Nat Biotechnol. 2005;23:1126–1136. doi: 10.1038/nbt1142. [DOI] [PubMed] [Google Scholar]
- 27.Khamis SM, Jones RA, Johnson ATC. Optimized Photolithographic Fabrication Process for Carbon Nanotube Devices. AIP Advances. 2011;1:022106. [Google Scholar]
- 28.Strano MS, Dyke CA, Usrey ML, Barone PW, Allen MJ, Shan HW, Kittrell C, Hauge RH, Tour JM, Smalley RE. Electronic Structure Control of Single-Walled Carbon Nanotube Functionalization. Science. 2003;301:1519–1522. doi: 10.1126/science.1087691. [DOI] [PubMed] [Google Scholar]
- 29.Lu Y, Lerner MB, Qi ZJ, Mitala JJ, Lim JH, Discher BM, Johnson ATC. Graphene-Protein Bioelectronic Devices with Wavelength-Tunable Photoresponse. Appl Phys Lett. 2012;100:033110. [Google Scholar]
- 30.Du J, Hou S, Zhong C, Lai Z, Yang H, Dai J, Zhang D, Wang H, Guo Y, Ding J. Molecular Basis of Recognition of Human Osteopontin by 23c3, a Potential Therapeutic Antibody for Treatment of Rheumatoid Arthritis. J Mol Biol. 2008;382:835–842. doi: 10.1016/j.jmb.2008.07.075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Squires TM, Messinger RJ, Manalis SR. Making It Stick: Convection Reaction and Diffusion in Surface-Based Biosensors. Nat Biotechnol. 2008;26:417–426. doi: 10.1038/nbt1388. [DOI] [PubMed] [Google Scholar]
- 32.Arlett JL, Myers EB, Roukes ML. Comparative Advantages of Mechanical Biosensors. Nat Nanotechnol. 2011;6:203–215. doi: 10.1038/nnano.2011.44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Hill A. The Possible Effects of the Aggregation of the Molecules of Hemoglobin on Its Oxygen Dissociation Curve. Journal of Physiology. 1910;40:4–7. [Google Scholar]
- 34.Butler WT, Ridall AL, McKee MD. Osteopontin. In: Bilezikian JP, Raisz LG, Rodan GA, editors. Principals of Bone Biology. Academic Press; New York: 1996. pp. 167–181. [Google Scholar]
- 35.Slamon DJ, Leyland-Jones B, Shak S, Fuchs H, Paton V, Bajamonde A, Fleming T, Eiermann W, Wolter J, Pegram M, et al. Use of Chemotherapy Plus a Monoclonal Antibody against Her2 for Metastatic Breast Cancer That Overexpresses Her2. N Engl J Med. 2001;344:783–792. doi: 10.1056/NEJM200103153441101. [DOI] [PubMed] [Google Scholar]
- 36.Worn A, Pluckthun A. An Intrinsically Stable Antibody Scfv Fragment Can Tolerate the Loss of Both Disulfide Bonds and Fold Correctly. FEBS Lett. 1998;427:357–361. doi: 10.1016/s0014-5793(98)00463-3. [DOI] [PubMed] [Google Scholar]
- 37.MacBeath G. Protein Microarrays and Proteomics. Nat Genet. 2002;32:526–532. doi: 10.1038/ng1037. [DOI] [PubMed] [Google Scholar]
- 38.Robinson MK, Hodge KM, Horak E, Sundberg AL, Russeva M, Shaller CC, von Mehren M, Shchaveleva I, Simmons HH, Marks JD, et al. Targeting Erbb2 and Erbb3 with a Bispecific Single-Chain Fv Enhances Targeting Selectivity and Induces a Therapeutic Effect in Vitro. Br J Cancer. 2008;99:1415–1425. doi: 10.1038/sj.bjc.6604700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kubetzko S, Balic E, Wiaibel R, Zangemeister-Wittke U, Pluckthun A. Pegylation and Multimerization of the Anti-P185 Her-2 Single Chain Fv Fragment 4d5. Journal of Biological Chemistry. 2006;281:35186–35201. doi: 10.1074/jbc.M604127200. [DOI] [PubMed] [Google Scholar]
- 40.Saby C, Ortiz B, Champagne GY, Belanger D. Electrochemical Modification of Glassy Carbon Electrode Using Aromatic Diazonium Salts. 1. Blocking Effect of 4-Nitrophenyl and 4-Carboxyphenyl Groups. Langmuir. 1997;13:6805–6813. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.