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Open Access

Peer-reviewed

Research Article

Using thermal scanning assays to test protein-protein interactions of inner-ear cadherins

  • Deepanshu Choudhary,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, United States of America

    ⨯
  • Anusha Kumar,

    Roles Conceptualization, Investigation, Writing – review & editing

    Affiliation Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, United States of America

    ⨯
  • Thomas J. Magliery,

    Roles Conceptualization, Methodology, Resources, Supervision, Writing – review & editing

    Affiliation Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, United States of America

    ⨯
  • Marcos Sotomayor

    Roles Conceptualization, Funding acquisition, Investigation, Supervision, Writing – original draft, Writing – review & editing

    sotomayor.8@osu.edu

    Affiliation Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, United States of America

    ⨯

Abstract

Protein-protein interactions play a crucial role in biological processes such as cell-cell adhesion, immune system-pathogen interactions, and sensory perception. Understanding the structural determinants of protein-protein complex formation and obtaining quantitative estimates of their dissociation constant (KD) are essential for the study of these interactions and for the discovery of new therapeutics. At the same time, it is equally important to characterize protein-protein interactions in a high-throughput fashion. Here, we use a modified thermal scanning assay to test interactions of wild type (WT) and mutant variants of N-terminal fragments (EC1+2) of cadherin-23 and protocadherin-15, two proteins essential for inner-ear mechanotransduction. An environmentally sensitive fluorescent dye (SYPRO orange) is used to monitor melting temperature (Tm) shifts of protocadherin-15 EC1+2 (pcdh15) in the presence of increasing concentrations of cadherin-23 EC1+2 (cdh23). These Tm shifts are absent when we use proteins containing deafness-related missense mutations known to disrupt cdh23 binding to pcdh15, and are increased for some rationally designed mutants expected to enhance binding. In addition, surface plasmon resonance binding experiments were used to test if the Tm shifts correlated with changes in binding affinity. We used this approach to find a double mutation (cdh23(T15E)- pcdh15(G16D)) that enhances binding affinity of the cadherin complex by 1.98 kJ/mol, roughly two-fold that of the WT complex. We suggest that the thermal scanning methodology can be used in high-throughput format to quickly compare binding affinities (KD from nM up to 100 μM) for some heterodimeric protein complexes and to screen small molecule libraries to find protein-protein interaction inhibitors and enhancers.

Citation: Choudhary D, Kumar A, Magliery TJ, Sotomayor M (2017) Using thermal scanning assays to test protein-protein interactions of inner-ear cadherins. PLoS ONE 12(12): e0189546. https://doi.org/10.1371/journal.pone.0189546

Editor: Yulia Komarova, University of Illinois at Chicago, UNITED STATES

Received: August 2, 2017; Accepted: November 27, 2017; Published: December 19, 2017

Copyright: © 2017 Choudhary et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting Information files.

Funding: This work was supported by The Ohio State University (OSU) and by the National Institute on Deafness and Other Communications Disorders (NIH NIDCD K99/R00 DC012534). A.K. was supported by an NIH R01 grant (GM083114 to T.J.M.). M.S. is an Alfred P. Sloan fellow (FR-2015-65794). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Protein-protein interactions are intrinsic to virtually every cellular process whether it be transcription, translation, replication, cell cycle control or signal transduction [1–3]. These interactions are also essential for multicellular organisms in processes such as cell-cell adhesion, host-pathogen interactions, and sensory perception [4–6]. Measurements of binding affinity and kinetic rate constants are often used along with site-directed mutagenesis to understand the molecular mechanisms underlying protein-protein interactions. The quantitative determination of dissociation constants (KD) can be done in multiple ways, e.g., by measuring association-dissociation kinetics or by determining the fraction of complex formed as a function of “protein ligand” concentrations. These measurements often involve detection of heat (isothermal calorimetry) or optical signals (surface plasmon resonance, fluorescence anisotropy, and analytical ultracentrifugation), and in some cases require large amounts of samples or labeling that could perturb the binding interaction [7–13]. Most of these methodologies cannot be easily used in a high-throughput fashion to test the effect of mutations as well as various ligands and buffers.

Thermal stability shift assays (also referred to as differential scanning fluorimetry or high-throughput thermal scanning when combined with high-throughput purification) have been commonly used to optimize the thermal stability of a single protein or multiple protein variants under different conditions [14–25], but have not been widely used to test protein-protein interactions. Recently, thermal scanning was used to characterize and quantify interactions in a heterodimeric protein complex [26]. In this approach, samples of a protein (maltose-binding protein, MBP) with low melting temperature, Tm1, were mixed in non-stoichiometric amounts with an analyte ligand (synthetic ankyrin repeat protein, Off7) with higher melting temperature (Tm2 > Tm1) in the presence of the SYPRO orange dye [27]. The melting temperatures of the MBP protein alone and when mixed with the “analyte” were measured by monitoring the increased fluorescence of the dye upon binding to hydrophobic portions of the unfolded proteins. Binding of a protein to the folded state of its partner was found to increase its apparent melting temperature, and was used to quantify the binding affinity of wild-type (WT) and mutant variants of the MBP/Off7 pair [26].

Here, we applied a similar thermal scanning assay to a protein complex formed by two members of the cadherin superfamily, which consists of transmembrane proteins that often mediate calcium-dependent cell–cell adhesion in animals [4,28–31]. Cadherin-23 (CDH23) and protocadherin-15 (PCDH15) interact tip-to-tip (Fig 1A) to form “tip-link” filaments essential for inner-ear mechanotransduction [5,32–34]. CDH23 and PCDH15 have 27 and 11 extracellular cadherin (EC) repeats, respectively. Each EC repeat is made of about 100 amino acids, which are similar but not identical to each other in sequence and structure. The X-ray crystal structure of the mouse protein complex showed a heterophilic interaction that resembled an “extended handshake” and that involved the N-terminal EC1 and EC2 repeats from both proteins (Fig 1B). Complementary in vitro and in vivo studies revealed that two deafness-related missense mutations in PCDH15 (I108N and R113G; Fig 1C and 1D) severely disrupt binding of CDH23 EC1+2 (hereafter cdh23) to PCDH15 EC1+2 (pcdh15) [34–40].

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Fig 1. Heterotetrameric tip link made of CDH23 bound to PCDH15.

(A) The tip link is formed by a CDH23 parallel dimer interacting tip-to-tip with a PCDH15 parallel dimer [39]. These proteins feature 27 and 11 extracellular cadherin (EC) repeats, respectively. (B) Ribbon diagram of mouse cdh23 (blue) bound to pcdh15 (magenta) with Ca2+ ions as green spheres (PDB ID: 4APX). Sites of deafness-causing mutations R113 and I108 in PCDH15 are shown in stick representation and circled. (C & D) Detail of I108 (C) and R113 (D) with surrounding residues in the cdh23 and pcdh15 interface.

https://doi.org/10.1371/journal.pone.0189546.g001

Using thermal scanning with SYPRO orange to detect unfolding, we found that pcdh15 melts at lower temperatures than cdh23, and that the apparent melting temperature of pcdh15 increases in the presence of cdh23. This shift in melting temperature is absent when the cdh23-pcdh15 interaction is impaired by deafness mutations, and it increases for some rationally designed mutations expected to increase binding affinity of this complex. Furthermore, our surface plasmon resonance (SPR) experiments revealed that some of these designed mutations altered the dissociation rate constant (koff), while a double mutant (cdh23(T15E)-pcdh15(G16D)) increased binding stability by 1.98 KJ/mol, which corresponds to roughly twice the binding affinity of WT. Overall, our study highlights the benefits of combining rational design with a semi-quantitative high-throughput assay to study protein-protein interactions in heterodimeric complexes.

Materials and methods

Cloning and mutagenesis

Cloning and expression of 6xHis tagged protein fragments of mouse cdh23 and pcdh15 were previously described in [39,41]. Briefly, DNA sequences coding for both protein fragments were cloned using the NdeI and XhoI sites of the pET21a vector that includes a C-terminal His tag. All mutants used in this work were generated using the QuikChange Lightning mutagenesis kit (Stratagene) and were verified by DNA sequencing. Numbering of residues corresponds to mouse CDH23 and PCDH15 without their signal sequences.

Fragments used in SPR experiments were derived from a template provided by Dr. Yoshie Narui. Briefly, a DNA construct containing the N-terminal amino acid residues 1–205 (EC1+EC2) of mouse CDH23 was obtained by PCR amplification and subcloned using the Impact kit (NEB #E6901S) and the NdeI and SapI restriction sites of the pTXB1 vector (NEB #N6707). The pTXB1 attached the Mycobacterium xenopi GyrA intein tag at the C terminus of EC2. The tag contains an N-terminal cysteine residue that allows thiol-induced cleavage. Each intein tag contains a chitin-binding domain (CBD) for affinity purification of the fusion protein on a chitin resin. Induction of on-column cleavage, using thiol reagents such as dithiothreitol (DTT), releases the "tagless" cdh23 from the intein tag. An Ala residue was included between CDH23 EC2 and the intein tag to improve cleavage efficiency.

Expression, purification, and refolding of protein fragments

All cdh23 fragments with a His tag were expressed independently in BL21(DE3)-pLysS E. coli cells (Stratagene) cultured in lysogeny broth (LB) or terrific broth (TB) medium and induced at OD600 ~ 0.6 with 1 mM IPTG at 30°C for ~ 16 h. All pcdh15 fragments were expressed independently in BL21CodonPlus(DE3)-RIPL E. coli cells (Stratagene) cultured in TB medium and induced at OD600 ~ 0.6 with 200 μM IPTG at 30°C for ~ 16 h. Cells were lysed by sonication for 7 min in denaturing buffer B (20 mM Tris-HCl at pH 7.5, 6 M guanidine hydrochloride [GuHCl], 10 mM CaCl2, 20 mM imidazole at pH 7.0). Cell lysate was collected after centrifugation at 4°C. The clear lysates were loaded onto nickel-sepharose beads (GE Healthcare) and eluted with denaturing buffer B supplemented with 500 mM imidazole (buffer E) after thorough washing with denaturing buffer B. The refolding of WT and mutant pcdh15 fragments was done in a stepwise manner as described previously [39], whereas cdh23 was dialyzed overnight [41]. Refolded proteins were further purified using size exclusion chromatography (SEC) on Superdex 75 or Superdex 200 16/600 columns (GE Healthcare) with SEC buffer containing 20 mM Tris-HCl pH 7.5, 150 mM KCl, 50 mM NaCl and 2 mM CaCl2. Purity of the recombinant proteins was analyzed by SDS–PAGE, after which the protein-containing fractions were pooled and used for further experiments. Predicted and apparent molecular weights (SDS–PAGE) for cdh23 and pcdh15 fragments were 23.8/25 kDa and 27.5/37 kDa, respectively, as previously observed [39].

The purification of tagless cdh23 fragments was done as described in the IMPACT kit protocol (NEB) with some modifications to improve yields. The constructs were expressed independently in BL21(DE3)-RIPL E. coli cells (Stratagene) cultured in LB medium and induced at OD ~ 0.6 with 400 μM IPTG at 15°C for ~16 h. Cells were lysed by sonication in denaturing buffer B. The cell lysate was centrifuged at 20,000 RPM for 30 min to remove cell debris. The clear lysate was first dialyzed for 24 h against regenerating buffer A (20 mM Tris-HCl pH 8.5, 0.5 M NaCl, 10 mM CaCl2) with 8 M urea, followed by two 24 h dialyses against regenerating buffer B and C with 6 M and 4 M urea, respectively. The last two steps consisted of 12 h dialyses against regenerating buffers D and E with decreasing urea concentration (2 and 0 M, respectively) plus 0.1 mM GSSG and 1 mM GSH. The dialyzed protein was centrifuged to remove any precipitate and affinity purified using chitin beads (NEB). Cleavage was induced using DTT for ~40 hours at 4°C. The cleaved cdh23 fragment was incubated with cleaned chitin beads to remove any traces of unbound intein and finally purified through gel filtration chromatography in SEC buffer. Protein purity was analyzed by SDS-page gel and protein-containing fractions were pooled accordingly.

Designing high-affinity mutants

We used the WT cdh23-pcdh15 complex structure (PDB ID: 4APX) to design mutations that enhance binding, since a number of stability and structural studies [42,43] show that point mutations usually have little effect on the overall structure of proteins except for the immediate vicinity of the mutation site. The interface was visually inspected and all possible sites of mutations were noted. In silico mutations were made using the mutate function of Coot [44]. All rotamers of the mutated amino acid were checked and in vitro site directed mutagenesis was performed only if over 50% of the favorable rotamers took the desired orientation (favoring salt-bridge formation or van der Waals interactions). The on-line webserver Rosetta design [45] was also used to find higher affinity mutants and the most stabilizing mutant (lowest ΔΔG) was picked for our experimental study (S1 Table). Co-crystallized ligands, alternate conformations of side chains, and water molecules were deleted during analysis with Rosetta design. All designed mutation sites (fourteen) for twelve complexes are shown on the surface of the protein complex in Fig 2, along with three mutation sites (I22, I108, and R113 in pcdh15) that were used for control experiments in which binding was impaired.

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Fig 2. Mapping of rationally designed mutation sites on the structure of the cdh23 and pcdh15 complex.

(A) Surface representation of cdh23 (blue and cyan) bound to pcdh15 (purple and pink; PDB ID: 4APX). (B) Cdh23 and pcdh15 interaction surfaces exposed with mutation sites labeled. Residues labeled in red are mutated in inherited deafness. Underlined labels indicate sites that belong to paired mutant complexes cdh23(H11K)-pcdh15(Q218E) and cdh23(T79E)-pcdh15(H91R).

https://doi.org/10.1371/journal.pone.0189546.g002

Thermal scanning

Thermal scanning has been applied to the protein complex formed by off7 [46] and MBP (KD ~4.4 nM at 25°C) as described in [26]. We modified this protocol to apply it to the inner-ear cdh23-pcdh15 complex (Fig 1B). The two proteins were mixed with the pcdh15 concentration fixed at 0.1 mg/mL (~4 μM) and the concentration of cdh23 increased from 0.1 to 0.5 mg/mL (~4 to 20 μM), thereby increasing the amount of complex formed at the beginning of the experiment according to Le Chatelier's principle. The 1:1 and 5:1 ratios of cdh23:pcdh15 correspond to ~75% and ~85% complex at t = 0 (KD ~3 μM at T = 10°C), respectively. Solutions of 20 μL of protein sample per well were prepared by mixing 1 μL of 400x SYPRO Orange (Molecular Probes, final concentration 20x) with protein in SEC buffer and loaded into 96-well, 0.2 mL thin-wall PCR plates (BioRad) sealed with optical-quality sealing tape (BioRad). Thermal denaturation was performed using a CFX96 real time-PCR instrument (Bio-Rad) where temperature was increased in a step-wise manner from 10 to 95°C in 0.2°C/cycle increments (ramp rate of ~0.6°C/min) and with an equilibration time of 5 s at each temperature. Some control experiments used equilibration times of 20 or 51 s (S2 Table).

Data fitting, estimation of melting temperatures, and statistical analysis

All thermal scanning data were analyzed in MATLAB (Mathworks). Melting curves were normalized and the temperature corresponding to a normalized fluorescence signal of 0.5 was defined as the melting temperature (Tm). Derivative plots of fluorescence (change in fluorescence per unit change in temperature) were obtained from the slope of the normalized data as determined from a sliding five-point window around each temperature value. A student t-test was used to determine if selected temperature shifts (ΔTm, see Results) and dissociation constant (KD) differences were statistically significant. Data was imported to Excel and a two-tailed t-test (with unequal variance) was performed comparing each mutant complex to the WT complex. A p-value ≤ 0.05 was used as criterion for statistical significance.

Surface plasmon resonance experiments

The interaction between cdh23 and pcdh15 was analyzed by SPR in a Biacore T100 instrument (GE Healthcare) with a Ni-NTA sensor chip (GE Healthcare). First, 0.5 mM NiCl2 was flowed at 10 μL/min on the chip for 60 s, followed by SEC buffer. The reference cell was prepared by immobilizing 6xHIS tagged pcdh15 on the sensor chip, using 1 to 1.5 μM of pcdh15 at a flow rate of 10 μL/min for 30 s, to obtain a surface density of >500 resonance units (RUs). Kinetic data were collected by injecting different concentrations of tag-free cdh23 ranging from 0.25 μM to 30 μM, diluted in SEC buffer, with a contact time of 60 s and a flow rate of 30 μL/min for both association and dissociation phases. After each measurement, the chip surface was regenerated with 500 mM imidazole at a flow rate of 30 μL/min for 90 s. All measurements were carried out at 25°C in SEC buffer filtered with 0.22 μm filters (Millipore). The KD was calculated using the Biacore T100 evaluation software version 1.1. There was non-specific binding on the chip at high concentrations of cdh23 and thus those data points were neglected from the analysis. Also, any experiment with mass transport limitation was not included in the analysis. Kinetics analyses were performed using the EVILFIT software [47,48]. Briefly, the reference-subtracted sensorgram data were exported to Microsoft Excel, thereafter global analysis was conducted using a distribution model for continuous affinity. Before importing data into EVILFIT, the time column was multiplied by 10. This correction factor was later incorporated in the kinetic constant values. For fitting the data in EVILFIT, the high injection points were removed from analysis due to improper fittings at those concentrations. KD values calculated by fitting of kinetic data using EVILFIT differed in magnitude with those obtained by fitting the hyperbolic concentration response curve (binding isotherms) in the Biacore evaluation software, likely due to fast association-dissociation rates that made EVILFIT fitting difficult. However, KD trends were consistent regardless of the method used to compute them. We used KD values obtained from binding isotherms to compare affinities among complexes.

Analytical size exclusion chromatography

SEC experiments of all refolded proteins (WT and mutants of cdh23 and pcdh15) were performed on a Superdex 75 16/60 column with SEC buffer. Relevant fractions with pure protein fragments were collected, concentrated, and used for subsequent SEC on a Superdex 75 3.2/3.0 column equilibrated with the same buffer (S1 Fig). Experiments were performed at 4°C using a 100 μL loop and a 0.05 mL/min flow rate on an AKTAmicro system (GE).

Circular dichroism spectroscopy

Spectra were obtained on a JASCO J-815 Circular Dichroism Spectrometer. Experiments were conducted at 20 μM concentration of pcdh15, determined by UV absorption (27,515 M-1 cm-1) at 280 nm, in SEC buffer (similar to experiments in [40]). Thermal unfolding and refolding spectra at 222 nm were acquired using a 0.4°C min-1 rate, with heating from 10 to 55°C and then cooling to 10°C (S3 Fig). We did not focus on cdh23 unfolding because it has a Tm > 50°C whereas all complexed WT or mutant pcdh15 proteins melt at lower temperatures (Fig 3A).

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Fig 3. Thermal melting curves of cdh23 and pcdh15 variants monitored with SYPRO orange.

(A) Upper panels show normalized fluorescence for melting curves with cdh23(WT) in cyan, pcdh15(WT) in magenta, and the mixture in black. Lower panels show the derivative of the normalized melting curve. Concentration ratios from left to right are: 1:1, 2:1, 3:1, 4:1, 5:1 (cdh23:pcdh15). (B-C) Overlay of the melting curves for pcdh15(WT) (B) and for pcdh15(R113G) (C) at indicated cdh23:pcdh15 ratios. The curves were normalized to pcdh15 only (first peak).

https://doi.org/10.1371/journal.pone.0189546.g003

Results

To study protein-protein interactions in a high-throughput fashion, we set out to investigate the application of thermal scanning assays using the CDH23-PCDH15 complex. We first analyzed the structure of the interacting tips of these proteins and identified mutations that may impair or enhance their binding. We then generated WT and mutant protein fragments, tested their integrity, and used thermal scanning experiments to detect complex formation, with additional quantification from SPR measurements as described below.

Rational design of high-affinity mutant candidates

A number of methodologies have been developed to improve the binding affinity of protein-protein complexes. These include creating metal cation (like Ni2+) binding pockets at the interface [49,50], by extending the N-terminal region of one of the proteins to increase the interaction surface [51], through directed evolution [52,53], or by creating charged mutations near the interface [54]. We avoided the use of Ni2+ coordination in the protein complex as Ni2+ could interfere with Ca2+ binding to cadherin fragments [55]. Our cadherin fragments form inclusion bodies during bacterial expression thus preventing the use of standard bacterial-based directed evolution approaches. To overcome these issues, we used a simple, rational design approach to engineer the protein complex. We focused on the various non-covalent forces of attraction that are responsible for protein folding and protein-protein interactions—electrostatics, hydrogen bonds and van der Waals interactions. Then we used single or multiple mutations to enhance these interactions at the interface of our cadherin protein complex. The higher affinity mutant candidates were rationally planned with the goal of introducing salt bridges via charged amino acids at the interface, or with the purpose of burying more hydrophobic contacts through non-polar residues at the interface thereby increasing van der Waals interactions (Fig 2). The protein fragments carrying these designed mutations (or mutations known to impair complex formation) were used for experiments testing their integrity and ability to form complexes.

Testing the integrity and interaction of cdh23 and pcdh15 mutants in solution

Analytical size exclusion chromatography (SEC) can be used to determine if cdh23 and pcdh15 fragments folded and form a complex. The individual WT fragments eluted as monodisperse peaks with well-defined elution volumes. WT complex formation was accompanied by a decrease in elution volume (ΔEV) of the mixture when compared to the elution volume of the individual protein fragments [39].

All mutants (shown in Fig 2) eluted as monodisperse peaks at the expected elution values for WT. The mutant pcdh15(A20V) did not form a complex as assessed by analytical SEC. Tests on three designed mutant complexes (cdh23(T15E)-pcdh15(G16D), cdh23(WT)-pcdh15(A20V), cdh23(T190W)-pcdh15(WT)) showed complex formation (S1 Fig), with varying ΔEV that might reflect changes in association rate constant kon [56]. These experiments provided an initial, positive evaluation of the integrity of all mutants and an assessment of complex formation for some of them.

Using thermal scanning to detect binding of cdh23 to pcdh15

Thermal stability shift assays have been used to probe the interaction between MBP and Off7 [26], and here we used similar protocols to probe interactions between the WT and mutant cdh23 and pcdh15 fragments tested using SEC as described above. These experiments required small amounts of label-free protein samples, could be set in a high-throughput format, were significantly faster than SEC, and had not been carried out with tip link cadherins.

Using thermal scanning we determined the melting temperature of pcdh15(WT), Tm = 37.9 ± 1.0°C, which increased in the presence of cdh23(WT) (Fig 3). This shift in Tm, which we attribute to complex formation and denote as ΔTm, increased when the ratio of cdh23 to pcdh15 was increased from 1:1 to 5:1 (Fig 3A). By increasing the ratio of cdh23:pcdh15, we wanted to find the best non-stoichiometric ratio which we could use to compare ΔTms of different mutants. We could not use non-stoichiometric ratios beyond 5:1, including the ratio 20:1 suggested in [26], as the fluorescence signal of cdh23 would overshadow that of pcdh15 in the complex (Fig 3A and 3B), impairing accurate determination of melting temperatures.

To confirm that Tm shifts are caused by complex formation, we used a designed weak binder (I22A) and two deafness-related pcdh15 mutations (R113G and I108N) that impair binding to cdh23. The Tms of these pcdh15 mutants (I22A: 35.1 ± 0.1°C, R113G: 34.8 ± 0.0°C, I108N: 36.4 ± 0.2°C) were lower than for WT (37.9 ± 1.0°C), yet the protein fragments were stable enough to carry out the experiments (Table 1) and these weak affinity complexes served as controls. When the ratio of concentrations of cdh23 to pcdh15 was varied from 1:1 to 5:1, the ΔTm for the cdh23(WT)-pcdh15(WT) complex ranged from 1.8 ± 0.8°C to 5.5 ± 0.8°C, whereas for the complex involving the deafness mutant pcdh15(R113G), the ΔTm ranged from -0.6 ± 0.6°C to 1.5 ± 0.8 °C (Table 1 and Figs 3B, 3C and 4A). The failure of added cdh23 to raise the melting temperature of mutant pcdh15 suggests that it does not bind to the mutant. Similarly, for the complex involving the deafness mutant pcdh15(I108N), the ΔTm barely varied from 0.0 ± 0.1°C to 0.5 ± 0.0°C. The ΔTm values for the designed mutant pcdh15(I22A) were between those for the WT and those for the deafness mutants (R113G or I108N), consistent with the trend seen in previous studies [39,40]. Since the cdh23(WT) and pcdh15(R113G) and complex has a KD > 20 μM [39], we attributed the low ΔTm to lack of complex formation. The designed and deafness mutants served as controls and their very low ΔTm correlated with their weak binding affinity (high KD). Overall, these thermal-scanning experiments allowed us to clearly identify when the interaction was impaired.

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Fig 4. Variation of ΔTm at increasing ratios of cdh23 and pcdh15.

(A) Variation of ΔTm for WT and two deafness-related complexes at increasing concentration ratios. The WT ΔTm increases from ~2 to ~5.5°C from 1:1 to 5:1 ratios. The deafness mutants have ΔTm < ~1°C at all ratios. (B) ΔTm variation of the most stabilizing mutant G16D-T15E (green), the WT complex (blue), and the less stabilizing mutant Q165L (pink). The double mutant has higher ΔTm than the WT complex at all ratios. (C) Bar graph of ΔTm variation of selected mutants at different cdh23:pcdh15 ratios. Asterisks indicate statistically significant differences with WT complex (p ≤ 0.05). Data for all mutants including pcdh15- A20V, D160W, L187W, Q165L, S92V and cdh23-T190W are shown in Table 1.

https://doi.org/10.1371/journal.pone.0189546.g004

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Table 1. Shift in melting temperature (ΔTm) for complexes of cdh23 bound to pcdh15.

Deafness mutations are shown in bold. ΔΔTm values are shown in parentheses.

https://doi.org/10.1371/journal.pone.0189546.t001

Thermal scanning assay identifies potential high-affinity complexes

To compare WT and mutant complexes, we defined ΔΔTm as ΔTm-mutant - ΔTm-WT (where ΔTm-mutant refers to ΔTm of the mutant and ΔTm-WT refers to ΔTm of the WT) and used its value at high protein concentration ratios (4:1 or 5:1 for cdh23:pcdh15) to identify significant differences that might indicate impaired or enhanced interactions. A positive ΔΔTm would indicate higher thermostability of the mutant complex, which could be correlated with higher binding affinity [26].

The designed mutant complexes, expected to have a higher affinity than the WT complex, showed a range of different ΔΔTms, some being stabilizing while others being destabilizing (Table 1). The largest ΔΔTm were observed in complexes involving non-polar/polar to charged residue mutations. Among the charged mutations, ~80% displayed higher ΔTms (ΔΔTm > 0) compared to the WT complex (cdh23(T15E), pcdh15(G16D), cdh23(T79E)-pcdh15(H91R), cdh23(F7E)), whereas all the mutations to non-polar/hydrophobic residues had ΔΔTm < 0. The double mutant cdh23(T15E)-pcdh15(G16D) complex had ΔΔTm values > 1°C at all ratios of cdh23:pcdh15 except 1:1 (Fig 4). Other mutants had ΔΔTm values between those of the deafness mutants and the double mutant. If we extrapolate the trends in ΔΔTm values from the 1:1 to 5:1 ratios used here to those required to obtain the ΔΔTm at saturating concentrations (20:1 ratio of cdh23:pcdh15), a much higher value of ΔΔTm would be obtained, suggesting that these mutants should have lower ΔG of binding [26].

Additional thermal scanning experiments with cdh23(WT)-pcdh15(WT) and cdh23(T15E)-pcdh15(G16D) were performed using slower temperature ramp rates in which the equilibration time (after a temperature increment and before taking a fluorescence measurement) was extended from 5 s to 20 s or 51 s (S2 Table). Results were consistent with those obtained using regular ramp rates.

Surface plasmon resonance experiments test cdh23 and pcdh15 binding

To quantitatively compare KD values for WT and mutant complexes formed by the cdh23 and pcdh15 fragments, we performed SPR experiments (Fig 5) with some of the complexes that displayed positive ΔΔTm in thermal scanning experiments at the 5:1 ratio of cdh23:pcdh15. These included complexes formed by cdh23(T15E)-pcdh15(WT), cdh23(WT)-pcdh15(G16D), cdh23(T15E)-pcdh15(G16D) and cdh23(F7E)-pcdh15(WT). As a control, we also examined the mutant complex cdh23(WT)-pcdh15(Q165L) that had negative ΔΔTm at all ratios, and cdh23(S76V)-pcdh15(WT) with nearly the same ΔTm as the WT complex.

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Fig 5. Quantitative SPR measurements of cdh23 molecules binding to pcdh15.

(A) Left, association and dissociation of the cdh23(WT)-pcdh15(WT) complex. Experimental data (sensorgrams) are represented in a gradient of green to blue colors for different concentrations of cdh23(WT) as labeled. Red lines indicate fitted model parameters (RMSD = 2.89). Injection peaks were removed and not fitted. Top three traces correspond to 5, 10, and 15 μM, respectively, but the 10 μM trace is not labeled for clarity. Black arrow indicates the position of equilibrium SPR signal (Req). Middle panel shows the fitting of Req to a Langmuir binding isotherm at different concentrations of analyte. Measurements for selected concentrations were done in duplicates. Right panel shows a heat map of the koff and KD distribution from the global fit of all traces in corresponding leftmost panel. The signal density of the peaks in the koff and KD distribution plot can directly be discerned from their color, which is scaled according to the color bar on the right side of the distribution plot [48]. (B) Association and dissociation curves for the T15E-G16D complex shown as in (A) (RMSD = 11.08). Top three traces correspond to 15, 20, and 25 μM, respectively, but the 15 and 20 μM traces are not labeled for clarity. The data were analyzed with the EVILFIT algorithm and the Biacore evaluation software.

https://doi.org/10.1371/journal.pone.0189546.g005

The KD value for the cdh23(WT)-pcdh15(WT) complex was 1.38 ± 0.36 μM at 25°C (Table 2), consistent with isothermal titration calorimetry data (2.9 ± 0.4 μM at 10°C) [39]. Since this is an entropically driven reaction [39], a lower KD value is expected at higher temperatures. The single-mutant complexes designed for higher affinity, cdh23(WT)-pcdh15(G16D) and cdh23(T15E)-pcdh15(WT), had KD values of 1.11 ± 0.07 μM and 0.88 ± 0.06 μM respectively, which were lower than the WT complex. The double-mutant complex cdh23(T15E)-pcdh15(G16D) had the lowest KD of 0.62 ± 0.11 μM among all the mutants that we tested (p-value 0.056). Surprisingly, a mutant complex with high ΔΔTm, cdh23(F7E)-pcdh15(WT), had KD value similar to but not lower than that of the WT complex (1.58 ± 0.03 μM vs 1.38 ± 0.36 μM). On the other hand, a destabilized mutant complex cdh23(WT)-pcdh15(Q165L) had a KD of 2.60 ± 0.0 μM, weaker than WT as expected from thermal scanning data. These results suggest that thermal scanning experiments can be used to screen for enhanced and impaired binding in a high-throughput, label-free manner, with some false positives.

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Table 2. Affinity (KD) and kinetic parameters for complexes of cdh23 bound to pcdh15.

https://doi.org/10.1371/journal.pone.0189546.t002

To qualitatively understand the origin of the differences between thermal scanning and SPR measurements, we looked at correlations between dissociation constants (KD), kinetic rate constants (koff and kon) and ΔΔTm. Plots of ΔKD, Δkoff and Δkon as a function of ΔΔTm for multiple mutant complexes (Fig 6) revealed qualitative correlations between ΔΔTm with the dissociation rate koff, and the affinity KD, but not with kon. These results suggest that ΔΔTm can be used to detect changes in koff, and only in some cases changes in KD.

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Fig 6. Rate and equilibrium constants for different mutants vs ΔΔTm.

(A-C) KD vs ΔΔTm (A), koff vs ΔΔTm (B), and kon vs ΔΔTm (C) for various cdh23-pcdh15 complexes (WT-WT: light blue; T15E-WT: red; WT-G16D: yellow; T15E-G16D: light green, F7E-WT: cyan; S76V-WT: navy blue; WT-Q165L: pink). Squares and circles represent data points for ΔΔTm at 1:1 and 5:1 ratios, respectively. The WT-WT complex lies at the origin. Data points along the dashed diagonal line in A support ΔΔTm as a good predictor of KD, while data points off the diagonal indicate exceptions (most notably F7E-WT). Vertical error bars represent standard deviation for measurements of the rate or equilibrium constant of that mutant. Horizontal error bars represent the standard deviation for the ΔTm measurement.

https://doi.org/10.1371/journal.pone.0189546.g006

Discussion and conclusions

Methods that can characterize protein-protein interactions in a high throughput fashion are essential in the quest to find mutations or small molecules that may impair or enhance the formation of biomolecular complexes. Here we implemented a thermal scanning methodology to test tip-to-tip interactions of CDH23 and PCDH15, two proteins essential for inner-ear mechanotransduction. This assay allowed us to readily detect the formation of the WT cdh23 and pcdh15 complex by monitoring melting temperature shifts, which were absent when pcdh15 carried deafness mutations known to impair interactions with cdh23. In addition, we used this assay to evaluate rationally designed mutations predicted to enhance binding of pcdh15 to cdh23, and found a double mutant complex (cdh23(T15E)-pcdh15(G16D)) in which binding affinity was enhanced by 1.98 kJ/mol as determined by SPR measurements. Overall, this method produced some false positives in screening for enhanced binding, but robustly detected impaired complex formation.

A thorough quantitative analysis of thermal scanning results for another protein system was performed in [26], where a thermodynamic model was used to analyze the complex formed by the MBP and off7 proteins. The model assumed that binding interactions occur only between native states and that unfolding transitions for the lower melting partner were reversible, as shown for MBP [57]. This is not valid in our case as the unfolding of pcdh15 is irreversible (S2 and S3 Figs), which limits quantitation. For a fully irreversible system, we would expect the changes in Tm to reflect only the changes in the rate of unfolding, which itself will be affected by the rate of dissociation, but actually the Tm shifts correlate better to some degree with both KD and koff values. This suggests that the basis of the ability to detect binding differences is that the dissociation and unfolding are partially reversible at least very near the melting transition. Indeed, even for MBP, reversibility is only observed close to the melting transition in the thermal scanning experiment. The kinetic effects of partial irreversibility may explain some of the false-positives in our predictions of complexes with enhanced affinity from the thermal scanning data.

The ability to quickly detect impaired pcdh15 and cdh23 binding might help evaluate and understand the structural effects of new mutations involved in inherited deafness. There are over one hundred missense mutations that modify the extracellular domain of CDH23 and that are considered to be the cause of a deafness phenotype [58–60]. Similarly, a handful of missense mutations involved in deafness modify the extracellular domain of protocadherin-15 [37,40,61]. Here, we tested three mutations (R113G, I108N, I22A) in the EC1+2 repeats of PCDH15 known to impair complex formation as evaluated using other methods, including isothermal titration calorimetry [34,38,39]. Two of these mutations (R113G, I108N) cause deafness, while the third one (I22A) has not been evaluated in animal models. In all cases, we could readily detect the lack of binding of the mutant pcdh15 to cdh23(WT). As new variations in human CDH23 and PCDH15 genes are discovered, this in vitro test may help to quickly determine the degree to which they impair binding and thus whether they should be presumed pathogenic. The assay may also be used to perform unbiased screens of mutations that critically affect the interface, perhaps indirectly, to further understand binding specificity and the structural determinants of tip link assembly.

Our assay is ideally suited to carry out screens to search for small-molecules inhibitors of the CDH23 and PCDH15 interaction. Disruption of the cdh23 and pcdh15 complex is known to impair tip-link function and inner-ear mechanotransduction. However, transient block of this interaction using small molecules might be helpful in two ways. First, elegant experiments have used calcium chelators such as BAPTA to disrupt tip-link cadherins, eliminate tip links in hair cells, and then study subsequent ex vivo tip-link regeneration upon restoration of physiological calcium levels [33,62,63]. This type of experiment likely recapitulates tip link assembly during development, and may also model tip-link regeneration after loud sound exposure [38,62,64,65]. Unfortunately, the use of calcium chelators may also alter various calcium-signaling pathways important for hair-cell function, so uncoupling of tip-link disruption from calcium chelation is desirable. Second, some antibiotics and cancer drugs that likely enter hair cells through their transduction machinery cause apoptosis and hearing loss [66–70]. Transient block of tip links might help investigate these phenomena to perhaps develop strategies that prevent hair-cell damage during these treatments. The methods presented here should enable the search for small-molecule blockers that could be used to understand tip-link regeneration and the effect of ototoxic drugs on hair-cell survival.

Finding mutations and small molecules that enhance binding affinity for the cdh23 and pcdh15 complex could also be enabled by our assay, as illustrated by the cdh23(T15E)-pcdh15(G16D) complex with increased affinity. A stronger tip link may result in more robust hair-cell responses to mechanical stimuli and prevention of progressive hearing loss. A similar approach could be applied to search for small-molecule candidates that can restore impaired binding in deafness mutants of cdh23 and pcdh15 [34,39,40].

The thermal scanning method presented here could also be used to quickly test interactions among other members of the cadherin superfamily of proteins. There are over one hundred cadherins encoded in the human genome, many of which form adhesive complexes involved in various essential physiological processes. However, the method would have to be extended and tested with protein homodimers, as most members of the cadherin superfamily form homophilic complexes. In addition, this method might be suitable for other protein complexes and can be easily extended for high-throughput screening of libraries of therapeutically relevant small molecules to find inhibitors of protein-protein interactions.

Supporting information

S1 Table. Results of Rosetta design are shown.

The predicted high affinity pcdh15 mutations are marked in bold. Mutations with ΔΔGbinding > -0.5 Kcal/mol are not included.

https://doi.org/10.1371/journal.pone.0189546.s001

(DOCX)

S2 Table. Control thermal scanning experiments performed at slower ramp rates (increased equilibration time).

The values of ΔTm at different cdh23:pcdh15 ratios are shown for the WT-WT and T15E-G16D complex. These experiments were performed with an equilibration time (τ) of 20 s and 51 s (as opposed to 5 s used in our standard thermal scanning experiment). Values given in parentheses represent experiment performed with an equilibration time of 51 s. The ΔTm marked with an asterisk was outside μ ± 2σ (where μ represents mean and σ represents standard deviation) of our regular thermal scanning experiments.

https://doi.org/10.1371/journal.pone.0189546.s002

(DOCX)

S1 Fig. Analytical SEC experiments of complex formation.

Representative curves of WT and selected cdh23 and pcdh15 mutants. Decrease in elution volume is representative of complex formation. (A) The cdh23(T15E)-pcdh15(G16D) complex peak elutes at nearly the same place as the WT complex (green). (B) Shift in elution volume for the mutant mixture of cdh23(WT)-pcdh15(A20V) is less than that for the WT mixture. (C) Deafness mutant pcdh15(I108N) does not form a complex with cdh23(WT). As a result, the SEC trace of cdh23(WT)-pcdh15(I108N) mixture is the sum of individual traces of cdh23(WT) and pcdh15(I108N). (D) The cdh23(T191W) mutant forms a complex with pcdh15(WT) and has a shift similar to that of the WT complex.

https://doi.org/10.1371/journal.pone.0189546.s003

(TIF)

S2 Fig. Irreversible unfolding of pcdh15 revealed by circular dichroism (CD) spectroscopy.

To determine whether the unfolding of pcdh15 is reversible or irreversible, we performed circular dichroism (CD) measurements in which the WT protein was heated and subsequently cooled down. The unfolding and refolding followed a clear hysteresis and once denatured, pcdh15 did not seem to fold upon cooling (S3 Fig). We performed the experiment with two different waiting times and observed similar behavior. The Tm calculated from CD was 41.3°C, slightly higher than the value obtained from thermal scanning experiments. The Tm recorded from these two techniques has been shown to be roughly related in a linear fashion and the offset between the two depends on buffer and dye conditions [22]. These data indicate that the interpretation of thermal scanning results must incorporate irreversibility of unfolding of pcdh15, as illustrated in the scheme below.

https://doi.org/10.1371/journal.pone.0189546.s004

(DOCX)

S3 Fig. Circular dichroism experiment to determine reversibility of unfolding of pcdh15.

(A) Full CD trace of pcdh15(WT) at 222 nm monitored while heating from 10 to 55°C (filled circles) and cooling back 10°C (open circles) with a ramp rate of 0.4°C/min. Black and blue circles represent data points with wait times (before recording the measurement) of 6 s and 12 s, respectively. Data were normalized to the range of the melting curve. (B) CD spectra of the folded pcdh15(WT). Unfolding of pcdh15(WT) is irreversible.

https://doi.org/10.1371/journal.pone.0189546.s005

(TIF)

Acknowledgments

We thank Dr. Y. Narui for providing the tag-free WT cdh23 construct. This work was supported by The Ohio State University (OSU) and by the National Institute on Deafness and Other Communications Disorders (NIH NIDCD K99/R00 DC012534). A.K. was supported by an NIH R01 grant (GM083114 to T.J.M.). M.S. is an Alfred P. Sloan fellow (FR-2015-65794). Molecular figures were prepared using VMD. Thermal scanning and SPR experiments were performed at the Plant-Microbe Genomics facility at OSU.

References

  1. 1. Pawson T, Nash P. Assembly of cell regulatory systems through protein interaction domains. Science [Internet]. 2003 Apr 18 [cited 2015 Nov 6];300(5618):445–52. Available from: http://www.ncbi.nlm.nih.gov/pubmed/12702867 pmid:12702867
  2. 2. Kuriyan J, Eisenberg D. The origin of protein interactions and allostery in colocalization. Nature. 2007 Dec;450(7172):983–90. pmid:18075577
  3. 3. Ptashne M. Binding reactions: epigenetic switches, signal transduction and cancer. Curr Biol [Internet]. 2009 Mar 24 [cited 2016 Jan 17];19(6):R234–41. Available from: http://www.sciencedirect.com/science/article/pii/S0960982209006836 pmid:19321137
  4. 4. Brasch J, Harrison OJ, Honig B, Shapiro L. Thinking outside the cell: how cadherins drive adhesion. Trends Cell Biol. 2012 Jun;22(6):299–310. pmid:22555008
  5. 5. Gillespie PG, Müller U. Mechanotransduction by hair cells: models, molecules, and mechanisms. Cell [Internet]. 2009 Oct 2 [cited 2016 Jan 17];139(1):33–44. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2888516&tool=pmcentrez&rendertype=abstract pmid:19804752
  6. 6. Kauth CW, Woehlbier U, Kern M, Mekonnen Z, Lutz R, Mücke N, et al. Interactions between merozoite surface proteins 1, 6, and 7 of the malaria parasite Plasmodium falciparum. J Biol Chem [Internet]. 2006 Oct 20 [cited 2016 Oct 30];281(42):31517–27. Available from: http://www.jbc.org/cgi/content/long/281/42/31517 pmid:16940297
  7. 7. Ladbury JE, Chowdhry BZ. Sensing the heat: the application of isothermal titration calorimetry to thermodynamic studies of biomolecular interactions. Chem Biol [Internet]. 1996 Oct [cited 2016 Jan 17];3(10):791–801. Available from: http://www.sciencedirect.com/science/article/pii/S1074552196900630 pmid:8939696
  8. 8. Leavitt S, Freire E. Direct measurement of protein binding energetics by isothermal titration calorimetry. Curr Opin Struct Biol [Internet]. 2001 Oct [cited 2015 Dec 30];11(5):560–6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/11785756 pmid:11785756
  9. 9. Willander M, Al-Hilli S. Analysis of biomolecules using surface plasmons. Methods Mol Biol [Internet]. 2009 Jan [cited 2016 Jan 17];544:201–29. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19488702 pmid:19488702
  10. 10. Masi A, Cicchi R, Carloni A, Pavone FS, Arcangeli A. Optical methods in the study of protein-protein interactions. Adv Exp Med Biol [Internet]. 2010 Jan [cited 2016 Jan 17];674:33–42. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20549938 pmid:20549938
  11. 11. Herling TW, O’Connell DJ, Bauer MC, Persson J, Weininger U, Knowles TPJ, et al. A Microfluidic Platform for Real-Time Detection and Quantification of Protein-Ligand Interactions. Biophys J [Internet]. 2016 May [cited 2016 Nov 25];110(9):1957–66. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0006349516301515 pmid:27166804
  12. 12. Owicki JC. Fluorescence polarization and anisotropy in high throughput screening: perspectives and primer. J Biomol Screen. 2000 Oct;5(5):297–306. pmid:11080688
  13. 13. Jameson DM, Croney JC. Fluorescence polarization: past, present and future. Comb Chem High Throughput Screen [Internet]. 2003 May [cited 2017 Jul 19];6(3):167–73. Available from: http://www.ncbi.nlm.nih.gov/pubmed/12678695 pmid:12678695
  14. 14. Pantoliano MW, Petrella EC, Kwasnoski JD, Lobanov VS, Myslik J, Graf E, et al. High-density miniaturized thermal shift assays as a general strategy for drug discovery. J Biomol Screen [Internet]. 2001 Dec [cited 2015 Dec 11];6(6):429–40. Available from: http://www.ncbi.nlm.nih.gov/pubmed/11788061 pmid:11788061
  15. 15. Lo M-C, Aulabaugh A, Jin G, Cowling R, Bard J, Malamas M, et al. Evaluation of fluorescence-based thermal shift assays for hit identification in drug discovery. Anal Biochem [Internet]. 2004 Sep 1 [cited 2015 Sep 19];332(1):153–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/15301960 pmid:15301960
  16. 16. Matulis D, Kranz JK, Salemme FR, Todd MJ. Thermodynamic stability of carbonic anhydrase: measurements of binding affinity and stoichiometry using ThermoFluor. Biochemistry [Internet]. 2005 Apr 5 [cited 2016 Jan 17];44(13):5258–66. Available from: http://www.ncbi.nlm.nih.gov/pubmed/15794662 pmid:15794662
  17. 17. Cummings MD, Farnum MA, Nelen MI. Universal screening methods and applications of ThermoFluor. J Biomol Screen [Internet]. 2006 Oct [cited 2016 Jan 17];11(7):854–63. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16943390 pmid:16943390
  18. 18. Ericsson UB, Hallberg BM, Detitta GT, Dekker N, Nordlund P. Thermofluor-based high-throughput stability optimization of proteins for structural studies. Anal Biochem [Internet]. 2006 Oct 15 [cited 2016 Jan 17];357(2):289–98. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16962548 pmid:16962548
  19. 19. Vedadi M, Niesen FH, Allali-Hassani A, Fedorov OY, Finerty PJ, Wasney GA, et al. Chemical screening methods to identify ligands that promote protein stability, protein crystallization, and structure determination. Proc Natl Acad Sci U S A [Internet]. 2006 Oct 24 [cited 2016 Jan 12];103(43):15835–40. Available from: http://www.pnas.org/content/103/43/15835.abstract pmid:17035505
  20. 20. Yeh AP, McMillan A, Stowell MHB. Rapid and simple protein-stability screens: application to membrane proteins. Acta Crystallogr D Biol Crystallogr [Internet]. 2006 Apr [cited 2016 Jan 17];62(Pt 4):451–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16552147 pmid:16552147
  21. 21. Niesen FH, Berglund H, Vedadi M. The use of differential scanning fluorimetry to detect ligand interactions that promote protein stability. Nat Protoc [Internet]. 2007 Jan [cited 2014 Jul 11];2(9):2212–21. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17853878 pmid:17853878
  22. 22. Lavinder JJ, Hari SB, Sullivan BJ, Magliery TJ. High-throughput thermal scanning: a general, rapid dye-binding thermal shift screen for protein engineering. J Am Chem Soc [Internet]. 2009 Mar 25 [cited 2016 Jan 17];131(11):3794–5. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2701314&tool=pmcentrez&rendertype=abstract pmid:19292479
  23. 23. Orwig SD, Chi P V, Du Y, Hill SE, Cavitt MA, Suntharalingam A, et al. Ligands for glaucoma-associated myocilin discovered by a generic binding assay. ACS Chem Biol. 2014 Feb;9(2):517–25. pmid:24279319
  24. 24. Magliery TJ. Protein stability: computation, sequence statistics, and new experimental methods. Curr Opin Struct Biol. 2015 Aug;33:161–8. pmid:26497286
  25. 25. Wong AG, Raleigh DP. The dye SYPRO orange binds to amylin amyloid fibrils but not pre-fibrillar intermediates. Protein Sci [Internet]. 2016 Oct [cited 2017 Jul 31];25(10):1834–40. Available from: http://www.ncbi.nlm.nih.gov/pubmed/27479186 pmid:27479186
  26. 26. Layton CJ, Hellinga HW. Quantitation of protein-protein interactions by thermal stability shift analysis. Protein Sci [Internet]. 2011 Aug [cited 2015 Nov 27];20(8):1439–50. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3189529&tool=pmcentrez&rendertype=abstract pmid:21674662
  27. 27. Steinberg TH, Jones LJ, Haugland RP, Singer VL. SYPRO orange and SYPRO red protein gel stains: one-step fluorescent staining of denaturing gels for detection of nanogram levels of protein. Anal Biochem [Internet]. 1996 Aug 1 [cited 2016 Jan 17];239(2):223–37. Available from: http://www.ncbi.nlm.nih.gov/pubmed/8811914 pmid:8811914
  28. 28. Takeichi M. Cadherins: a molecular family important in selective cell-cell adhesion. Annu Rev Biochem [Internet]. 1990 Jan 28 [cited 2016 Jan 17];59:237–52. Available from: http://www.annualreviews.org/doi/abs/10.1146/annurev.bi.59.070190.001321 pmid:2197976
  29. 29. Hirano S, Takeichi M. Cadherins in Brain Morphogenesis and Wiring. Physiol Rev. 2012 Apr;92(2):597–634. pmid:22535893
  30. 30. Sotomayor M, Gaudet R, Corey DP. Sorting out a promiscuous superfamily: towards cadherin connectomics. Trends Cell Biol. 2014;1–13.
  31. 31. Leckband D, Sivasankar S. Cadherin recognition and adhesion. Curr Opin Cell Biol. 2012 Oct;24(5):620–7. pmid:22770731
  32. 32. Pickles JO, Comis SD, Osborne MP. Cross-links between stereocilia in the guinea pig organ of Corti, and their possible relation to sensory transduction. Hear Res [Internet]. 1984 Aug [cited 2016 Jan 14];15(2):103–12. Available from: http://www.ncbi.nlm.nih.gov/pubmed/6436216 pmid:6436216
  33. 33. Assad JA, Shepherd GM, Corey DP. Tip-link integrity and mechanical transduction in vertebrate hair cells. Neuron [Internet]. 1991 Dec [cited 2016 Jan 14];7(6):985–94. Available from: http://www.ncbi.nlm.nih.gov/pubmed/1764247 pmid:1764247
  34. 34. Kazmierczak P, Sakaguchi H, Tokita J, Wilson-Kubalek EM, Milligan RA, Müller U, et al. Cadherin 23 and protocadherin 15 interact to form tip-link filaments in sensory hair cells. Nature [Internet]. 2007 Sep 6 [cited 2016 Jan 14];449(7158):87–91. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17805295 pmid:17805295
  35. 35. Ahmed ZM, Riazuddin S, Ahmad J, Bernstein SL, Guo Y, Sabar MF, et al. PCDH15 is expressed in the neurosensory epithelium of the eye and ear and mutant alleles are responsible for both USH1F and DFNB23. Hum Mol Genet. 2003 Dec;12(24):3215–23. pmid:14570705
  36. 36. Ahmed ZM, Goodyear R, Riazuddin S, Lagziel A, Legan PK, Behra M, et al. The tip-link antigen, a protein associated with the transduction complex of sensory hair cells, is protocadherin-15. J Neurosci. 2006 Jun;26(26):7022–34. pmid:16807332
  37. 37. Ahmed ZM, Riazuddin S, Aye S, Ali RA, Venselaar H, Anwar S, et al. Gene structure and mutant alleles of PCDH15: nonsyndromic deafness DFNB23 and type 1 Usher syndrome. Hum Genet [Internet]. 2008;124(3):215–23. Available from: http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=18719945&retmode=ref&cmd=prlinks pmid:18719945
  38. 38. Lelli A, Kazmierczak P, Kawashima Y, Müller U, Holt JR. Development and regeneration of sensory transduction in auditory hair cells requires functional interaction between cadherin-23 and protocadherin-15. J Neurosci. 2010 Aug;30(34):11259–69. pmid:20739546
  39. 39. Sotomayor M, Weihofen WA, Gaudet R, Corey DP. Structure of a force-conveying cadherin bond essential for inner-ear mechanotransduction. Nature [Internet]. 2012;492(7427):128–32. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3518760&tool=pmcentrez&rendertype=abstract pmid:23135401
  40. 40. Geng R, Sotomayor M, Kinder KJ, Gopal SR, Gerka-Stuyt J, Chen DH-C, et al. Noddy, a mouse harboring a missense mutation in protocadherin-15, reveals the impact of disrupting a critical interaction site between tip-link cadherins in inner ear hair cells. J Neurosci [Internet]. 2013 Mar 6 [cited 2016 Jan 17];33(10):4395–404. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3618968&tool=pmcentrez&rendertype=abstract pmid:23467356
  41. 41. Sotomayor M, Weihofen WA, Gaudet R, Corey DP. Structural Determinants of Cadherin-23 Function in Hearing and Deafness. Neuron. 2010 Apr;66(1):85–100. pmid:20399731
  42. 42. Takano K, Ogasahara K, Kaneda H, Yamagata Y, Fujii S, Kanaya E, et al. Contribution of hydrophobic residues to the stability of human lysozyme: calorimetric studies and X-ray structural analysis of the five isoleucine to valine mutants. J Mol Biol [Internet]. 1995 Nov 17 [cited 2016 Jan 17];254(1):62–76. Available from: http://www.ncbi.nlm.nih.gov/pubmed/7473760 pmid:7473760
  43. 43. Eriksson AE, Baase WA, Zhang XJ, Heinz DW, Blaber M, Baldwin EP, et al. Response of a protein structure to cavity-creating mutations and its relation to the hydrophobic effect. Science [Internet]. 1992 Jan 10 [cited 2016 Jan 17];255(5041):178–83. Available from: http://www.ncbi.nlm.nih.gov/pubmed/1553543 pmid:1553543
  44. 44. Emsley P, Lohkamp B, Scott WG, Cowtan K. Features and development of Coot. Acta Crystallogr D Biol Crystallogr [Internet]. 2010 Apr;66(Pt 4):486–501. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2852313%7B&%7Dtool=pmcentrez%7B&%7Drendertype=abstract pmid:20383002
  45. 45. Rohl CA, Strauss CEM, Misura KMS, Baker D. Protein structure prediction using Rosetta. Methods Enzymol [Internet]. 2004 Jan [cited 2015 Jan 15];383:66–93. Available from: http://www.sciencedirect.com/science/article/pii/S0076687904830040 pmid:15063647
  46. 46. Binz HK, Amstutz P, Kohl A, Stumpp MT, Briand C, Forrer P, et al. High-affinity binders selected from designed ankyrin repeat protein libraries. Nat Biotechnol [Internet]. 2004 May 18 [cited 2016 Jun 12];22(5):575–82. Available from: http://www.nature.com/doifinder/10.1038/nbt962 pmid:15097997
  47. 47. Gorshkova II, Svitel J, Razjouyan F, Schuck P. Bayesian analysis of heterogeneity in the distribution of binding properties of immobilized surface sites. Langmuir [Internet]. 2008 Oct 21 [cited 2016 Jan 17];24(20):11577–86. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2574969&tool=pmcentrez&rendertype=abstract pmid:18816013
  48. 48. Svitel J, Balbo A, Mariuzza RA, Gonzales NR, Schuck P. Combined affinity and rate constant distributions of ligand populations from experimental surface binding kinetics and equilibria. Biophys J [Internet]. 2003 Jun [cited 2016 Jan 17];84(6):4062–77. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1302986&tool=pmcentrez&rendertype=abstract pmid:12770910
  49. 49. Salgado EN, Ambroggio XI, Brodin JD, Lewis RA, Kuhlman B, Tezcan FA. Metal templated design of protein interfaces. Proc Natl Acad Sci U S A [Internet]. 2010 Feb 2 [cited 2016 Jan 17];107(5):1827–32. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2836610&tool=pmcentrez&rendertype=abstract pmid:20080561
  50. 50. Der BS, Machius M, Miley MJ, Mills JL, Szyperski T, Kuhlman B. Metal-mediated affinity and orientation specificity in a computationally designed protein homodimer. J Am Chem Soc [Internet]. 2012 Jan 11 [cited 2016 Jan 17];134(1):375–85. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3257401&tool=pmcentrez&rendertype=abstract pmid:22092237
  51. 51. Ho CCM, Guo N, Sockolosky JT, Ring AM, Weiskopf K, Özkan E, et al. “Velcro” engineering of high affinity CD47 ectodomain as signal regulatory protein α (SIRPα) antagonists that enhance antibody-dependent cellular phagocytosis. J Biol Chem [Internet]. 2015 May 15 [cited 2016 Jan 17];290(20):12650–63. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25837251 pmid:25837251
  52. 52. Hanes J, Jermutus L, Weber-Bornhauser S, Bosshard HR, Plückthun A. Ribosome display efficiently selects and evolves high-affinity antibodies in vitro from immune libraries. Proc Natl Acad Sci U S A [Internet]. 1998 Nov 24 [cited 2016 Jan 17];95(24):14130–5. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=24338&tool=pmcentrez&rendertype=abstract pmid:9826665
  53. 53. Crameri A, Cwirla S, Stemmer WP. Construction and evolution of antibody-phage libraries by DNA shuffling. Nat Med [Internet]. 1996 Jan [cited 2016 Jan 17];2(1):100–2. Available from: http://www.ncbi.nlm.nih.gov/pubmed/8564822 pmid:8564822
  54. 54. Joughin BA, Green DF, Tidor B. Action-at-a-distance interactions enhance protein binding affinity. Protein Sci [Internet]. 2005 May [cited 2016 Oct 29];14(5):1363–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/15802650 pmid:15802650
  55. 55. Dukes MP, Kay Rowe R, Pedigo S. Nickel Reduces Calcium-Dependent Dimerization by Neural Cadherin. Biophys J [Internet]. 2015 Jan [cited 2016 Feb 10];108(2):212a. Available from: http://www.sciencedirect.com/science/article/pii/S0006349514023807
  56. 56. Mayer CL, Snyder WK, Swietlicka MA, Vanschoiack AD, Austin CR, McFarland BJ. Size-exclusion chromatography can identify faster-associating protein complexes and evaluate design strategies. BMC Res Notes [Internet]. 2009 Jan [cited 2016 Jan 17];2:135. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2717102&tool=pmcentrez&rendertype=abstract pmid:19604395
  57. 57. Layton CJ, Hellinga HW. Thermodynamic Analysis of Ligand-Induced Changes in Protein Thermal Unfolding Applied to High-Throughput Determination of Ligand Affinities with Extrinsic Fluorescent Dyes. Biochemistry. 2010 Dec;49(51):10831–41. pmid:21050007
  58. 58. Astuto LM, Bork JM, Weston MD, Askew JW, Fields RR, Orten DJ, et al. CDH23 Mutation and Phenotype Heterogeneity: A Profile of 107 Diverse Families with Usher Syndrome and Nonsyndromic Deafness. Am J Hum Genet. 2002 Aug;71(2):262–75. pmid:12075507
  59. 59. de Brouwer APM, Pennings RJE, Roeters M, Van Hauwe P, Astuto LM, Hoefsloot LH, et al. Mutations in the calcium-binding motifs of CDH23 and the 35delG mutation in GJB2 cause hearing loss in one family. Hum Genet [Internet]. 2003;112(2):156–63. Available from: http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=12522556&retmode=ref&cmd=prlinks pmid:12522556
  60. 60. Jaiganesh A, Narui Y, Araya-Secchi R, Sotomayor M. Beyond Cell-Cell Adhesion: Sensational Cadherins for Hearing and Balance. Cold Spring Harb Perspect Biol. 2017 Aug;a029280. pmid:28847902
  61. 61. Alagramam KN, Goodyear RJ, Geng R, Furness DN, van Aken AFJ, Marcotti W, et al. Mutations in protocadherin 15 and cadherin 23 affect tip links and mechanotransduction in mammalian sensory hair cells. PLoS One [Internet]. 2011;6(4):e19183. Available from: http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=21532990&retmode=ref&cmd=prlinks pmid:21532990
  62. 62. Zhao Y, Yamoah EN, Gillespie PG. Regeneration of broken tip links and restoration of mechanical transduction in hair cells. Proc Natl Acad Sci U S A [Internet]. 1996;93(26):15469–74. Available from: http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=8986835&retmode=ref&cmd=prlinks pmid:8986835
  63. 63. Indzhykulian AA, Stepanyan R, Nelina A, Spinelli KJ, Ahmed ZM, Belyantseva IA, et al. Molecular remodeling of tip links underlies mechanosensory regeneration in auditory hair cells. PLoS Biol [Internet]. 2013;11(6):e1001583. Available from: http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=23776407&retmode=ref&cmd=prlinks pmid:23776407
  64. 64. Husbands JM, Steinberg SA, Kurian R, Saunders JC. Tip-link integrity on chick tall hair cell stereocilia following intense sound exposure. Hear Res. 1999;135(1):135–45.
  65. 65. Kurian R, Krupp NL, Saunders JC. Tip link loss and recovery on chick short hair cells following intense exposure to sound. Hear Res. 2003;181(1):40–50.
  66. 66. Lanvers-Kaminsky C, Zehnhoff-Dinnesen A am, Parfitt R, Ciarimboli G. Drug-induced ototoxicity: Mechanisms, Pharmacogenetics, and protective strategies. Clin Pharmacol Ther. 2017 Feb;
  67. 67. Marcotti W, van Netten SM, Kros CJ. The aminoglycoside antibiotic dihydrostreptomycin rapidly enters mouse outer hair cells through the mechano-electrical transducer channels. J Physiol. 2005 Sep;567(Pt 2):505–21. pmid:15994187
  68. 68. Steyger PS, Peters SL, Rehling J, Hordichok A, Dai CF. Uptake of gentamicin by bullfrog saccular hair cells in vitro. J Assoc Res Otolaryngol. 2003 Dec;4(4):565–78. pmid:14605921
  69. 69. Thomas AJ, Hailey DW, Stawicki TM, Wu P, Coffin AB, Rubel EW, et al. Functional mechanotransduction is required for cisplatin-induced hair cell death in the zebrafish lateral line. J Neurosci. 2013 Mar;33(10):4405–14. pmid:23467357
  70. 70. Schacht J, Talaska AE, Rybak LP. Cisplatin and aminoglycoside antibiotics: hearing loss and its prevention. Anat Rec (Hoboken). 2012 Nov;295(11):1837–50.