Abstract
Cornichon homologs (CNIHs) are AMPA-type glutamate receptor (AMPAR) auxiliary subunits that modulate AMPAR ion channel function and trafficking. Mechanisms underlying this interaction and functional modulation of the receptor complex are currently unclear. Here, using proteins expressed from mouse and rat cDNA, we show that CNIH-3 forms a stable complex with tetrameric AMPARs and contributes to the transmembrane density in single-particle electron microscopy structures. Peptide array-based screening and in vitro mutagenesis identified two clusters of conserved membrane-proximal residues in CNIHs that contribute to AMPAR binding. Because CNIH-1 binds to AMPARs but modulates gating at a significantly lower magnitude compared with CNIH-3, these conserved residues mediate a direct interaction between AMPARs and CNIHs. In addition, residues in the extracellular loop of CNIH-2/3 absent in CNIH-1/4 are critical for both AMPAR interaction and gating modulation. On the AMPAR extracellular domains, the ligand-binding domain and possibly a stretch of linker, connecting the ligand-binding domain to the fourth membrane-spanning segment, is the principal contact point with the CNIH-3 extracellular loop. In contrast, the membrane-distal N-terminal domain is less involved in AMPAR gating modulation by CNIH-3 and AMPAR binding to CNIH-3. Collectively, our results identify conserved residues in the membrane-proximal region of CNIHs that contribute to AMPAR binding and an additional unique segment in the CNIH-2/3 extracellular loop required for both physical interaction and gating modulation of the AMPAR. Consistent with the dissociable properties of binding and gating modulation, we identified a mutant CNIH-3 that preserves AMPAR binding capability but has attenuated activity of gating modulation.
Introduction
Excitatory synaptic transmission mediated by the AMPA-type glutamate receptor (AMPAR) is subject to modulation by a variety of structurally diverse transmembrane (TM) proteins, such as stargazin/transmembrane AMPA receptor regulatory proteins (TARPs), cornichon homologs (CNIHs), GSG1L, and CKAMP44 (Hashimoto et al., 1999; Chen et al., 2000; Tomita et al., 2005; Nicoll et al., 2006; Schwenk et al., 2009, 2012; Kalashnikova et al., 2010; von Engelhardt et al., 2010; Jackson and Nicoll, 2011; Shanks et al., 2012). Whereas the molecular diversity of AMPAR complexes has continued to grow (Kang et al., 2012; Schwenk et al., 2012; Shanks et al., 2012), the biochemical properties and mechanisms underlying AMPAR modulation are essentially uncharacterized for these individual complexes.
Various neurological phenotypes were observed in the absence of stargazin/TARPs (Jackson and Nicoll, 2011), whereas changes in synaptic plasticity have been reported in mutant mice lacking stargazin/TARPs (Jackson and Nicoll, 2011) and CKAMP44 (von Engelhardt et al., 2010). In addition, knock-out of CNIH-2/3 in mice alters the synaptic content of GluA1-containing AMPARs, resulting in a reduction in both AMPAR-mediated transmission and long-term potentiation (Herring et al., 2013). Manipulating CNIH-2 levels in the hippocampus alters the kinetics of synaptic AMPARs, revealing a regulatory role of CNIH-2 in AMPAR-mediated transmission (Boudkkazi et al., 2014). Similarly, in Caenorhabditis elegans, the mutations of auxiliary factors, such as sol-1, sol-2, stg-1, stg-2, and cni, result in phenotypes consistent with deficits in ion channel function of GLR glutamate receptors (Zheng et al., 2004; Wang et al., 2008, 2012; Brockie et al., 2013). These results indicate that endogenous factors modulating AMPARs significantly affect normal nervous system function. Exogenously introduced small molecules and recombinant proteins can potentially adopt similar molecular strategies as these endogenous factors in modulating AMPARs. Therefore, a precise understanding of these processes may contribute to developing therapeutic reagents for neurological and psychiatric disorders caused by AMPAR dysfunction.
Among the membrane proteins that modulate AMPARs, the biochemical stability of the complex has only been established for the stargazin/TARP family, distinguishing them as bona fide AMPAR auxiliary subunits (Nakagawa et al., 2005; Vandenberghe et al., 2005; Jackson and Nicoll, 2011). In this study, we combined single-particle electron microscopy (EM), a biochemical binding assay, in vitro mutagenesis, and electrophysiology to investigate the nature of CNIH/AMPAR complexes and probe the molecular mechanisms of gating modulation.
By dissecting the complex molecular associations between the two proteins, we identify an interaction between the extracellular loop of CNIH-3 and the isolated ligand-binding domain (LBD) containing a segment of the linker that connects the LBD and fourth transmembrane domain (TMD) of the GluA2 subunit. Intervening the intermolecular interactions in the LBD by cyclothiazide and/or residue-specific substitutions modulates AMPAR gating kinetics (Sun et al., 2002; Horning and Mayer, 2004). This study extends these existing models by demonstrating direct binding between the extracellular loop of CNIH-3 and the AMPAR LBD with residue-specific precision. Our results also highlight the involvement of the regions around the AMPAR TMDs in channel modulation by auxiliary subunits.
Materials and Methods
Brain tissues used in this study are derived from either sex.
Recombinant DNA
GluA2 construct.
The rat GluA2 flip splice variant was used for all experiments. The FLAG tag was inserted at the C-terminal domain (FATDYKDDDDKEGYNVYGIESVKI, in which bold indicates the FLAG epitope), preserving the original anti-GluA2CT epitope. pTREt (Clontech) and pCMV were used to express this construct.
GluA2/GluK6 chimera constructs.
The operations TM1–3 swap, TM1–3 + linker swap, and TM4 swap are defined as follows.
TM1–3 swap.
The GluK2 TM1–3 sequence IWMYVLLACLGVSCVLFVIARFSPYEWYNPHPCNPDSDVVENNFTLLNSFWFGVGALMRQGSELMPKALSTRIVGGIWWFFTLIIISSYTANLAA was swapped for the GluA2 TM1–3 sequence IWMCIVFAYIGVSVVLFLVSRFSPYEWHTEEFEDGRETQSSESTNEFGIFNSLWFSLGAFMRQGCDISPRSLSGRIVGGVWWFFTLIIISSYTANLAA.
TM1–3 + linker swap.
The GluK2 sequence PNGTNPGVFSFLNPLSPDIWMYVLLACLGVSCVLFVIARFSPYEWYNPHPCNPDSDVVENNFTLLNSFWFGVGALMRQGSELMPKALSTRIVGGIWWFFTLIIISSYTANLAAFLTVERMESP was swapped for the GluA2 sequence PQKSKPGVFSFLDPLAYEIWMCIVFAYIGVSVVLFLVSRFSPYEWHTEEFEDGRETQSSESTNEFGIFNSLWFSLGAFMRQGCDISPRSLSGRIVGGVWWFFTLIIISSYTANLAAFLTVERMVSP.
TM4 swap.
The GluK2 amino acid sequence SALGVQNIGGIFIVLAAGLVLSVFVAVG was inserted into the GluA2 sequence between GSSLGNAVNLAVLKLNEQGLLDKLKNKWWYDKGECGSGGGDSKEKT and EFCYKSRAEAKRMKVAKNPQNINPSSSQNSQNFATYKEGYNVYGIESVKI.
A2-TM4K2 was made from GluA2 with TM4 swap operation. A2-TMK2 was made from GluA2 with TM1–3 swap operation. A2-TMK2TM4Ks was made from GluA2 by combining TM1–3 swap and TM4 swap operations. A2-LTMK2 was made from GluA2 with TM1–3 + linker swap operation. A2-LTMK2TM4K2 was made from GluA2 by combining TM1–3 + linker swap and TM4 swap operations.
GluA2 S1S2 extended linker construct.
pETQG was created according to Chen et al. (1998). The S1S2 flop extended linker construct is made with S1 (SGNDTSGLEN…SIMIKK), GT linker, and S2 (PIESAE…GGGDSKEKTS, extending into pre-M4).
GluA2 N-terminal domain construct.
The entire GluA2 N-terminal domain (NTD) up to the sequence GACACGTCTGGGCTTGAAAACAAG was subcloned into a pIRES–mCherry 5Glycine Thrombin His8 vector (Farina et al., 2011).
NMDAR subunit constructs.
Rat GluN1-1a splice variant was subcloned into the NotI site of pTRE-A vector as described previously (Farina et al., 2011). For pTRE-B–GluN2B3xFLAG, rat GluN2B cDNA bearing 3xFLAG tag at the C-terminal domain (… PRAFNG DYKDHDGDYKDHDIDYKDDDDKSSNGHVYEKLSSIESDVstop, in which bold indicates the 3xFLAG epitope) was cloned into the pTRE-B vector between the EcoRI and EcoRV sites. pTRE-A–GluN1 and pTRE-B–GluN2B3xFLAG#1 vectors were then combined into a dual expression vector as described previously (Farina et al., 2011).
CNIH-1,2,3 constructs.
Mouse CNIH cDNA clones were obtained from Open Biosystems. The HA tag was inserted at the very C terminus of CNIH-3. The CNIH-3–HA mCherry cassette was subcloned into the pBOSS vector (a gift from Shigekazu Nagata and Hideki Sakahira, Osaka University, Japan) downstream of the elongation factor promoter. To create CNIH-3 point mutants, three residues at a time were mutated to alanines using in vitro mutagenesis QuikChange protocol (Stratagene). In the CNIH-3 deletion mutant, the sequences within the extracellular loop (see Fig. 7A) were removed by PCR. CNIH-3 with a 3xFLAG tag at the C terminus was cloned into pTREt (Clontech) for expression.
Generation of stable HEK cell lines that expresses one type of protein by doxycycline induction
TetOnGluA2 flip (clone 4), TetOnCNIH-3 3xFLAG, and TetOnCNIH-3 HA are stable TetOnHEK cells that doxycycline (DOX) dependently expresses GluA2–FLAG, CNIH-3–3xFLAG, and CNIH-3–HA, respectively. These cell lines were created by previously described methods (Shanks et al., 2010).
Generation of stable HEK cell lines that express GluA2–FLAG by DOX induction and constitutively express CNIH-1 or CNIH-3
The cell line described above that DOX dependently expresses GluA2 was cotransfected with pBOSS–CNIH-3HA–IRES–mCherry and pCMVZeocin (Invitrogen) at a ratio of 25:1. Several different lines (TetOnGluA2/CNIH-3 clones 1, 3, 5, and 9) were isolated that expressed different levels of CNIH-3. TetOnGluA2/CNIH-1 clones 1 and 10 are two clones isolated that constitutively expressed CNIH-1–HA and DOX dependently expressed GluA2, using an identical expression strategy as TetOnGluA2/CNIH-3.
Generation of stable HEK cell lines that express GluN1 and GluN2B
The DOX inducible GluN1/GluN2B3xFLAG#1 dual-expressing cell line was generated as follows; pTRE–GluN1/GluN2B3xFLAG#1 dual-expressing vector was linearized by digesting with ScaI and cotransfected with a plasmid that expresses a hygromycin resistant gene into TetOnHEK cells. Selection of clones was done over 2 weeks in DMEM (Mediatech) containing 10% FCS, penicillin (100 U/ml)/streptomycin (100 μg/ml) (Invitrogen), 120 μg/ml G418, 120 μg/ml hygromycin, 1 mm kynurenic acid, 10 mm MgSO4, and 2.5 μm (+)MK801 (Ascent). Colonies of HEK cells that survived selection were plated and grown. A portion of each clone was cultured in 96-well format and induced in the absence of (+)MK801. Cell death exhibiting clones were further expanded as candidate clones. As the final check, expression of GluN1 and GluN2B3xFLAG#1 in the same cells was examined by Western blotting and immunocytochemistry using antibodies against the GluN1 C1 exon (rabbit polyclonal; Sheng et al., 1994) and FLAG epitope [M2 mouse monoclonal; Research Resource Identifier (RRID): AB_439685; catalog # P2983; Sigma-Aldrich].
Purification of recombinant GluA2 and GluA2/CNIH-3 from HEK cells
Cell pellet was obtained from monolayer culture of 20 × 15 cm plates after a 24 h induction with DOX. Approximately 6 ml of cell pellet was resuspended in 50 ml of buffer containing 50 mm Na-HEPES, pH 7.4, 85 mm NaCl, 15 mm KCl, 30 μm NBQX, and protease inhibitors (1 mm PMSF, 10 μg/ml leupeptin, atropinin, benzamidine, and pepstatin A). Extraction was accomplished with dodecylmaltoside (DDM) (0.25%) at 4°C for 3 h. The lysate was ultracentrifuged (Beckman 45 Ti rotor) at 45,000 rpm for 1 h at 4°C, and the supernatant was passed through a column made of protein A Sepharose beads (GE Healthcare) cross-linked using dimethyl pimelimidate (DMP) (Pierce) to anti-FLAG M2 monoclonal antibody (RRID: AB_439685; catalog #P2983; Sigma-Aldrich) at a concentration of 2 mg/ml. After three washes, bound proteins were eluted using 0.5 mg/ml FLAG peptide in buffer. The peak elution sample was further separated by size using a Superdex 200 gel filtration column (GE Healthcare) in 50 mm Na-HEPES, pH 7.4, 85 mm NaCl, 15 mm KCl, and 0.1% DDM.
In vitro interaction between purified GluA2 and CNIH-3
GluA2–FLAG and CNIH-3–3xFLAG were purified in parallel. HEK cell pellets were obtained 24 h after induction with DOX. Approximately 5 ml of cell pellet was resuspended in 40 ml of buffer containing 50 mm Na-HEPES, pH 7.4, 150 mm NaCl, protease inhibitors (1 mm PMSF, 10 μg/ml leupeptin, atropinin, benzamidine, and pepstatin A), and 30 μm NBQX for GluA2. Extraction was accomplished with 0.25% DDM (supplemented with 0.1% 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) to extract GluA2) at 4°C for 3 h. The lysate was centrifuged at 3500 rpm for 10 min at 4°C and then ultracentrifuged (Beckman 70.1 Ti rotor) at 50,000 rpm for 1 h at 4°C.
The supernatants were incubated separately with 400 μl of protein A Sepharose beads (GE Healthcare) cross-linked using DMP (Pierce) to anti-FLAG M2 monoclonal antibody (RRID: AB_439685; catalog #P2983; Sigma-Aldrich) at a concentration of 2 mg/ml each overnight. After four washes, bound proteins were eluted using 0.5 mg/ml FLAG peptide in buffer for GluA2 and 0.2 mg/ml 3xFLAG peptide in buffer for CNIH-3. The second elution fractions (500 μl total volume) were used in the following. One hundred sixty microliters of both GluA2 and CNIH-3 were mixed and incubated for 1 h at 4°C. Three tubes of protein A Sepharose beads (GE Healthcare) cross-linked using DMP (Pierce) to anti-GluA2 polyclonal antibody were incubated overnight with the mixed proteins (160 μl of both GluA2 and CNIH-3), 160 μl of GluA2 plus 160 μl of buffer, and 160 μl of CNIH-3 plus 160 μl of buffer. After three washes bound protein was acid eluted and detected by Western blots using anti-GluR2 C-terminus (CT) and anti-FLAG antibody for GluA2 and CNIH-3, respectively.
Purification of recombinant GluN1/GluN2B purification from HEK cells
Cell pellet was obtained from 40 × 15 cm plates of GluN1wtGluN2B cells. The purification procedure was same as for GluA2, but the buffer was 50 mm Na-HEPES, pH 7.4, 300 mm NaCl, 1 mm kynurenic acid, 10 mm MgSO4, and 100 μm ifenprodil throughout.
Purification of GluA2 S1S2 extended linker (LBD)
The GluA2 S1S2 extended linker construct was produced and purified as described previously (Chen et al., 1998) for the HS1S2I construct.
Purification of GluA2 NTD
Four hundred milliliters of OptiMEM (Gibco) culture supernatant from a GluA2NTD–8His-expressing HEK cell line was spun down at 3500 rpm for 10 min. The supernatant was adjusted such that the final solution contained 50 mm sodium phosphate buffer and 25 mm imidazole, pH 7.5. The media was gravity loaded onto a Ni2+ charged chelating Sepharose column that was pre-equilibrated with OptiMEM containing sodium phosphate buffer and imidazole, pH 7.5 (50 and 25 mm, respectively). After the medium passed through and the column was washed with 10 column volumes of wash buffer (50 mm sodium phosphate buffer, 30 mm imidazole, pH 7.5), the bound protein was eluted from the column with 20 mm Tris-HCl, pH 7.5, 250 mm imidazole, and 150 mm NaCl. The eluant was spun down at 35,000 rpm for 15 min and loaded for gel filtration. Peak fractions contained purified proteins.
Purification of receptor complexes from rat and human brain
These procedures were described previously (Shanks et al., 2012). Human brain (cortex) was obtained through the National Disease Research Interchange [researcher: John Yates (code YAJ2); The Scripps Research Institute: IRB-11-5719].
Mass spectrometry
Sample preparation.
Bound proteins were eluted from the beads by incubation with Pierce elution buffer and TCA precipitated overnight. The precipitate was resuspended in 8 m urea with ProteasMAX (Promega) per the instructions of the manufacturer. The samples were subsequently reduced by 20 min incubation with 5 mm tris(2 carboxyethyl)phosphine at room temperature and alkylated in the dark by treatment with 10 mm iodoacetamide for 20 additional minutes. The proteins were digested overnight at 37°C with Sequencing Grade Modified Trypsin (Promega), and the reaction was stopped by acidification.
Multidimensional protein identification technology.
The protein digest was pressure loaded onto a 250-μm inner diameter capillary packed with 2.5 cm of 10 μm Jupiter C18 resin (Phenomenex), followed by an additional 2.5 cm of 5 μm Partisphere strong cation exchanger (Whatman). The column was washed with buffer containing 95% water, 5% acetonitrile, and 0.1% formic acid. After washing, a 100-μm inner diameter capillary with a 5 μm pulled tip packed with 15 cm of 4 μm Jupiter C18 resin (Phenomenex) was attached to the filter union, and the entire split-column (desalting column–filter union–analytical column) was placed in line with an Agilent 1100 quaternary HPLC and analyzed using a modified five-step separation described previously (Washburn et al., 2001). The buffer solutions used were 5% acetonitrile/0.1% formic acid (buffer A), 80% acetonitrile/0.1% formic acid (buffer B), and 500 mm ammonium acetate/5% acetonitrile/0.1% formic acid (buffer C). Step 1 consisted of a 75 min gradient from 0–100% buffer B. Steps 2–5 had a similar profile except 3 min of 100% buffer A, 5 min of x% buffer C, a 10 min gradient from 0–15% buffer B, and a 105 min gradient from 10–55% buffer B (except for step 5 in which the percentage for buffer B was increased from 10 to 100%). The 5 min buffer C percentages (x) were 10, 40, 60, and 100%, respectively, for the five-step analysis. As peptides eluted from the microcapillary column, they were electrosprayed directly into an LTQ mass spectrometer (Thermo Finnigan) with the application of a distal 2.4 kV spray voltage. A cycle of one full-scan mass spectrum (400–2000 m/z) followed by six data-dependent tandem mass spectrometry (MS/MS) spectra at a 35% normalized collision energy was repeated continuously throughout each step of the multidimensional separation. Application of mass spectrometer scan functions and HPLC solvent gradients were controlled by the Xcaliber data system.
Analysis of tandem mass spectra.
MS/MS spectra were analyzed using the following software analysis protocol. Poor quality spectra were removed from the dataset using an automated spectral quality assessment algorithm (Bern et al., 2004). MS/MS spectra remaining after filtering were searched with the ProLuCID algorithm against the EBI-IPI_Human_3_30_06-28-2007 concatenated to a decoy database in which the sequence for each entry in the original database was reversed (Peng et al., 2003). All searches were parallelized and performed on a Beowulf computer cluster consisting of 100 1.2 GHz Athlon central processing units (Sadygov et al., 2002). Only peptides with at least one tryptic termini were considered. Searches were performed with cysteine carbamidomethylation as a fixed modification.
ProLuCID (Eng et al., 1994) results were assembled and filtered using the DTASelect (version 2.0) program (Tabb et al., 2002). DTASelect 2.0 uses a linear discriminant analysis to dynamically set XCorr and DeltaCN thresholds for the entire dataset to achieve a user-specified false-positive rate (5% in this analysis). The program estimates the false-positive rates from the number and quality of spectral matches to the decoy database. Confidence for modifications was estimated from overlapping modified peptides as described previously (MacCoss et al., 2002).
Immunoprecipitation of CNIH-HA proteins in HEK cells
TetOnGluA2 flip cells were plated on 0.2% gelatin at a density of 0.5 × 106 cells/ml. Twenty hours later, cells were transfected with wild-type (WT) and mutant CNIH-3–HA constructs using the calcium phosphate method. Twenty-four hours after transfection, cells were washed with cold PBS twice and resuspended in 750 μl of buffer containing 50 mm Na-HEPES, pH 7.4, 85 mm NaCl, 15 mm KCl, 30 μm NBQX, and protease inhibitors (1 mm PMSF, 10 μg/ml leupeptin, atropinin, benzamidine, and pepstatin A). Cells were lysed with 0.25% DDM for 1.5 h at 4°C and ultracentrifuged at 35,000 rpm (Beckman TLA-55 rotor) for 15 min. The supernatant was incubated with anti-HA antibody (RRID: AB_10064069; catalog #MMS-101R-1000; Covance) at a concentration of 1:300 for ∼15 h. Thirty microliters of protein A Sepharose beads were added and incubated with the lysate for 3 h. After washing the beads twice, protein was eluted from the beads by boiling with DTT/SDS loading buffer. Western blotting was done using anti-R2CT polyclonal antibody at 1:300 (Nakagawa et al., 2005) and anti-HA antibody at 1:1000 (RRID: AB_10064069; catalog #MMS-101R-1000; Covance).
Negative staining of purified proteins and EM
Four hundred mesh copper grids were coated with carbon to create a substrate for proteins to bind. Four microliters of protein solution were applied to a glow discharged grid and left for 30 s to 5 min to allow the proteins to bind. The excess liquid was blotted on filter paper, and the grid was washed twice in water droplets to remove excess detergent. Purified proteins were negatively stained with 0.75% (w/v) uranyl formate as described previously (Ohi et al., 2004). Images were recorded using a FEI Sphera electron microscope equipped with a LaB6 filament operated at an acceleration voltage of 200 keV. Images were taken at a magnification of 50,000× and defocus value of −1.5 μm. All images were recorded using SO-163 film and developed with Eastman Kodak D-19 developer at full strength for 12 min at 20°C. Particle images were taken at room temperature and under low-dose conditions (20 e/Å2) to minimize radiation damage.
Fab labeling
The immunopure IgG1 F(ab′) and F(ab′)2 Fab purification kit (Pierce) was used to digest anti-HA monoclonal antibody (RRID: AB_10064069; catalog #MMS-101R-1000; Covance). The Fab fragment was further purified by gel filtration on a Superdex 200 column (Pharmacia). Labeling of particles was performed by incubating the AMPAR/CNIH-3 particles with the Fab fragments at a molar ratio between 1:2 and 1:4 overnight at 4°C in 50 mm HEPES, pH 7.4, 100 mm NaCl, and 0.1% DDM.
Image processing
Electron micrographs were digitized with a CoolScan 9000 (Nikon) using a step size of 6.35 mm. The pixels were binned by a factor of 3 such that the specimen level pixel size used was 3.81 Å. Projection averages were calculated from windowed small images of 100 × 100 pixels over 10 cycles of K-means classification and multi-reference alignment specifying 150 classes. A total of 9300 particles for GluA2 and 8951 particles for GluA2/CNIH-3 were interactively selected using the WEB display program for SPIDER (Frank et al., 1996).
TMD width calculation and comparison
The width of the TMD was measured at its widest point in NIH ImageJ (RRID: nif-0000-30467) for each class average. Class averages in which the TMD was not clear enough to be accurately measured were eliminated from calculations. This measurement was recorded in pixels and calculated back into angstroms. The measurement for each class average was attributed to the number of particles contained in that class average.
Western blot/coimmunoprecipitation analysis
Analysis was performed in NIH ImageJ by inverting colors of film images and analyzing the plot profile. The area for each band was recorded. For analysis of coimmunoprecipitations (CoIPs), the elution band of the coimmunoprecipitated protein was normalized to the input band to account for any potential differences in expression level. This value was then normalized to the elution band of the immunoprecipitated protein to account for any differences in immunoprecipitation efficiency. The values for conditions were then normalized to each other, so that the maximum value became 1. For example, when comparing the CNIH-3 mutants, the CNIH-3 WT value was 1, and the others were fractions of this. The conditions were compared with this maximal value using an unpaired t test with Welch's correction or using one-way ANOVA, followed by Tukey's multiple comparisons tests.
Time course of GluA2 expression in TetOnGluA2/CNIH-3HA cell lines
Various clones of TetOnGluA2/CNIH-3HA cell lines and the parental TetOnGluA2 cells were plated at a density of 0.6 × 106 cells per well on six-well plates. At 24 h later, cells were induced with 2.5–7.5 μg/ml DOX in the presence of 1 mm kynureic acid, 30 μm NBQX, and 1 mm Na-butyrate. At time points 0, 6, 12, 18, and 24 h after induction, cells were washed with PBS and harvested in 1 ml of PBS. After spin down and aspiration of supernatant, cells were flash frozen in liquid N2. SDS-PAGE samples were prepared with 400 μl of PBS and 200 μl of 4× DTT SDS-PAGE sample buffer and boiled for 15 min. Western blotting was done using anti-HA (RRID: AB_10064069; catalog #MMS-101R-1000; Covance) and anti-GluA2CT polyclonal antibodies (Nakagawa et al., 2005). Western blot films were scanned and analyzed using NIH ImageJ software (RRID: nif-0000-30467). Background-subtracted total signal at each time point was normalized to the signal at 24 h after induction. Three sets of experiments were conducted, and the band intensity of each time point of each cell line was averaged and plotted as a line graph.
Immunocytochemistry in HEK cells
Expression vectors were made by replacing WT CNIH-3HA with CNIH-3 mutants in pBOSS–CNIH-3HA–IRES–mCherry. HEK cells transfected with each plasmid were grown on poly-l-lysine-coated glass coverslips, washed briefly with PBS, and fixed with 4% formaldehyde in 0.1 m phosphate buffer, pH 7.4, for 9 min ∼24 h after transfection. Cells were permeabilized and then incubated in primary anti-HA at 1:1000 (RRID: AB_10064069; catalog #MMS-101R-1000; Covance). Alexa Fluor 568- and Alexa Fluor 488-conjugated secondary antibodies were used at a dilution of 1:200 (Invitrogen). Images of the cells were recorded using an epifluorescence microscope (Olympus) and recorded on a cooled CCD camera (Hamamatsu Orca).
Surface labeling of HEK cells
In the bottom panels of Figure 4D, transfected cells were live labeled using anti-HA at 1:1000 (RRID: AB_10064069; catalog #MMS-101R-1000; Covance) for 15 min in plain DMEM. Cells were washed with warm DMEM and fixed with 4% formaldehyde in 0.1 m phosphate buffer, pH 7.4. Alexa Fluor 488-conjugated anti-mouse IgG secondary antibody (Invitrogen) was used for detection.
Cell death assay experiments
Each stable cell line was plated at a density of ∼0.2 × 106 cell/ml in a 12-well plate. At 24 h after plating, differential interference contrast (DIC) images were taken of cells at 10× magnification. Cells were then induced with 7.5 μg/ml DOX and 1 mm Na-butyrate. The AMPAR antagonist NBQX (30 μm) was used to inhibit cell death. At 30 h after induction, DIC images were taken of induced cells both with and without NBQX.
Modified MTT cell proliferation assay
A nonradioactive cell proliferation assay (G4000; Promega; also known as the modified MTT assay) was used. Each stable cell line was plated at 5000 cells per well in a 96-well plate. After cells were attached to the plastic for 1 h, DOX and NBQX were supplemented according to the following three test groups: (1) group 1, 7.5 μm DOX; (2) group 2, 40 μm NBQX plus 7.5 μm DOX); and (3) group 3, 40 μm NBQX. For each cell line, each test group was replicated in eight wells, providing sufficient sampling for statistical analysis. Two days later, 15 μl of tetrazolium salt dye solution was added to each well and further incubated in the CO2 incubator for 3 h. The reaction was stopped by adding 100 μl of stop solution to each well, and then the samples were incubated at 4°C for 4 h. Absorbance at 570 nm was measured, and reference was taken at absorbance 700 nm according to the assay method [protocol provided by Promega (G4000) and Mosmann, 1983].
Peptide array experiments
The peptide arrays were synthesized using SPOT synthesis (Frank, 1995). Two arrays were synthesized separately, one for CNIH-1 and one for CNIH-3. Each dot on the array corresponds to 20 aa of the protein. Each subsequent dot contains another 20 aa, each time shifted by 3 aa moving from the N to the C terminus. In the first peptide array experiments (see Fig. 3) probed with the full-length GluA2, the entire CNIH-3 and CNIH-1 sequences are represented. In the second set of peptide array experiments (see Fig. 6), the peptide sequence begins at the N terminus of CNIH-3 and extends partway through the second TMD, highlighting the first TMD and the first extracellular loop. In the latter, each dot on the array corresponds to 15 aa of the protein. Each subsequent dot contains another 15 aa, each time shifted by 2 aa. In all cases, membranes were washed sequentially with methanol, water, protein purification buffer, and blocking buffer (purification buffer with 5% BSA) for 10 min. Then the peak fractions of protein from gel filtration of full-length GluA2 purified from HEK cell, S1S2 extended linker protein, or GluA2 NTD (as described above) were added to the blocking buffer and incubated on the membranes at 4°C for 4 h. After washing the array with purification buffer, using the procedures analogous to conventional Western blotting, the membrane was probed using anti-GluA2CT antibody (Nakagawa et al., 2005) as the primary probe and HRP-conjugated anti-rabbit IgG as the secondary probe to detect full-length GluA2-positive dots or the penta-His HRP conjugate antibody (Qiagen) to detect GluA2 S1S2 or NTD-positive dots. The signal was detected using the chemiluminescent method and recorded on film.
Analysis of peptide array results
The dots on the film were visually identified as either positive or negative for GluA2 interaction. The amino acid sequences corresponding to each dot were checked. A histogram was created such that the appropriate sequences of CNIH-1 and CNIH-3 form the horizontal axis. Each point of the horizontal axis corresponds to a single residue of each protein, and the number of positive dots containing each residue was recorded on the vertical axis. Amino acids with more positive dots would have stronger interaction with GluA2. Stretches of amino acids with positive scores were identified. These amino acid clusters were interpreted as positive for a GluA2 interaction. These positive residues were altered in the series of CNIH-3 alanine substitution mutants.
Electrophysiology
Voltage-clamp recordings were performed on outside-out patches from HEK293T cells as described previously (Rossmann et al., 2011). Cells were transfected with GluA2-Q (flip) and CNIH-3 or CNIH-1 plasmids or with GluA2-Q (flip) alone. Current responses of outside-out patches (voltage clamped at −60 mV) were elicited by fast application of 10 mm l-glutamate via a ϴ-tube and recorded using an Axopatch-1D amplifier, Digidata1322 interface, and pClamp 9.2 software (Molecular Devices). The rate of receptor desensitization was quantified by fitting the current decay during a 200 ms application of l-glutamate with a double-exponential function and calculating the weighted time constant of desensitization (τdes).
Results
Purification of the CNIH-3–GluA2 complex
The CNIH family consists of four family members CNIH-1 to CNIH-4, yet only CNIH-2 and CNIH-3 have been shown to interact with AMPARs in rat brain (Schwenk et al., 2009; Shanks et al., 2012). The basic topology of all the CNIH homologs is preserved, but CNIH-2 and CNIH-3 contain additional unique sequences within the extracellular loop that are absent in CNIH-1 and CNIH-4 (Fig. 1A,C). To study the biochemical properties of the receptor complex, GluA2 and CNIH-3 were coexpressed in a stable HEK cell line using DOX induction (Fig. 1B,G). We then purified GluA2 by immunoaffinity chromatography, followed by gel filtration chromatography (Fig. 1D). CNIH-3 copurified with GluA2, because CNIH-3 coeluted with GluA2 in gel filtration fractions 17–20 (Fig. 1E,F). The peaks of GluA2 purified from GluA2 and GluA2/CNIH-3-expressing cells are shown in Figure 1D.
Western blots of the gel filtration fractions probed with GluA2 confirm the presence of CNIH-3 (Fig. 1F) and show that a portion of CNIH-3 “falls off” the AMPAR complex during the chromatography and is present in later fractions 27–29, corresponding to lower-molecular-weight proteins (Fig. 1F). A large subset of CNIH-3 copurifies with AMPARs in gel filtration fractions 17–20, corresponding to tetrameric AMPARs, indicating stable complex formation between CNIH-3 and tetrameric GluA2.
CNIH-3 affects parameters of AMPAR biogenesis
A role of CNIHs was reported to be in AMPAR forward trafficking, possibly by functioning as a molecular chaperone (Schwenk et al., 2009; Shi et al., 2010; Herring et al., 2013). However, it is unclear whether CNIHs have chaperone function that accelerates AMPAR biogenesis. To address this, we used the expression strategy shown in Figure 1B, established several cell lines expressing varying levels of CNIH-3, and compared the time course of GluA2 expression after DOX induction (Fig. 1H), an approach used previously to study AMPAR biogenesis (Shanks et al., 2010). Notably, in a cell line that expresses the highest level of CNIH-3 (clone GluA2flip CNIH-3HA#5), GluA2 level was decreased by more than fivefold (Fig. 1G), indicating that CNIH-3 does not enhance the production of GluA2 at steady state. This does not exclude the possibility that, in neurons, CNIH-3 could exert chaperone function in concert with specific neuronal factors.
We next examined the rate at which GluA2 reaches its maximum level of expression. For this purpose, we defined the normalized rate of expression of GluA2 at a given time point as the amount expressed at each time point relative to the maximum attainable level of GluA2 expression. The 24 h time course of normalized rate of GluA2 expression was indistinguishable in all of the cell lines (Fig. 1H,I).
The glycosylation pattern of GluA2, and hence trafficking through the secretory pathway, was different between CNIH-3-expressing and CNIH-3-lacking cell lines, an observation consistent with previously reported data (Shi et al., 2010; Harmel et al., 2012; Brockie et al., 2013; Herring et al., 2013). When we digested GluA2 expressed in each cell line with peptide -N-glycosidase F (PNGaseF) and endoglycosidase H (EndoH), the EndoH digested product migrated faster for GluA2 coexpressed with CNIH-3 (Fig. 1J). Together, these data point out that CNIH-3 has a complex effect on AMPAR maturation in the secretory pathway.
EM structure of the GluA2/CNIH-3 complex
CNIH-2 and CHIH-3 interact with AMPARs and comigrate in blue native PAGE (Schwenk et al., 2009; Shi et al., 2010; Kato et al., 2010), but it is unknown whether this observed stability is accompanied by a structurally intact AMPAR complex. Therefore, we used negative stain EM to compare the shapes of the detergent solubilized GluA2 homotetrameric AMPAR particles in the presence or absence of CNIH-3.
The ultrastructure of the GluA2 tetramer expressed and purified from HEK cells is similar in structure to native AMPARs purified from rat brain (Nakagawa et al., 2005; Shanks et al., 2010). Specifically, the large globular density at the bottom of the particle is the TMD, the two smaller roundish domains directly above are the LBDs, and the two larger elongated bipartite densities at the top are the two dimers of the NTDs (Fig. 2A). The domains of the GluA2 homotetramer were well defined in both the absence and presence of CNIH-3.
We observed that the TM region (bottom density) is wider in the particles of the GluA2/CNIH-3 complex when compared with GluA2 alone. This observation was consistent in both the raw particle images (Fig. 2B, top images) and the class averages (Fig. 2B, smaller bottom images). The mean TM density width was 101 and 126 Å in the absence and presence of CNIH-3, respectively (Fig. 2C).
The EM structure was further interpreted by molecular labeling. The HA epitope is located at the extracellular C terminus of CNIH-3. The anti-HA Fab fragments consistently bound to AMPAR TM density on the extracellular side of the protein complex (Fig. 2E), consistent with CNIH-3 contributing the increased TM density to AMPAR complex and further validating the predicted topology of the CNIHs (Fig. 2D). Although most Fab-labeled AMPAR particles were decorated by only one Fab fragment, a small subset seemed to have two Fabs (Fig. 2E, leftmost particle). These images clearly show the presence of at least one CNIH-3 molecule contributing to the TMD of the AMPAR complex and suggest that more than one CNIH-3 molecule can interact with each complex. We emphasize that, because of the limited affinity between Fab and its HA epitope, this approach cannot be used quantitatively to determine the population of particles that contain multiple molecular copies of CNIH-3. In fact, the probability of two Fabs binding to a given complex is proportional to the product of the probability of first and second Fab binding and thus the population of particles having two CNIH-3s are underrepresented. Our qualitative approach clearly identifies a subset of particles that have two Fabs bound and positively demonstrates instances in which multiple CNIH-3s are bound to a single GluA2 tetramer. Considering that a significant portion of the CNIH-3 falls off during the purification (Fig. 1F), the TMD of the resulting GluA2/CNIH-3 complex is still larger than the GluA2 tetramer without CNIH-3. Collectively, these results imply that multiple CNIHs can associate with a single GluA2 tetramer to form a detergent-resistant and stable complex.
In vitro reconstitution of the CNIH-3 and GluA2 complex
The formation of complexes between membrane proteins may require the lipid bilayer. To test whether the GluA2/CNIH-3 complex can be reconstituted in vitro in the presence of detergent, we individually FLAG affinity purified CNIH-3–3xFLAG and GluA2–FLAG that were expressed separately. We mixed the two proteins to examine whether they interact. CNIH-3–3xFLAG specifically coimmunoprecipitated with GluA2–FLAG when pulled down using anti-GluA2CT antibody that recognizes the endogenous C-terminal peptide of GluA2 (Fig. 3A,B). No CNIH-3–3xFLAG was detected in the elution of the immunoprecipitate in the absence of GluA2–FLAG. This indicates a robust interaction between these two proteins even in the absence of a cellular membrane and forms a basis for additional investigation of the interaction in a noncellular system.
Membrane proximal residues in CNIH-3 important for complex formation
To systematically identify residues of CNIH-3 that are involved in the interaction with GluA2, we created two peptide array membranes that contained circles on which peptides derived from the sequences of CNIH-1 and CNIH-3 were directly synthesized (Frank, 1995). Each peptide was 20 aa in length, the neighboring peptide overlapped by 17 aa, and the entire array spanned the full sequence of both CNIHs. We incubated the two arrays with purified intact GluA2 homotetrameric AMPARs and then probed for receptors that were bound to the membrane-immobilized peptides using an anti-GluA2 antibody. The secondary antibody and detection techniques used for conventional Western blotting were adopted to identify dots on the membrane that were positive for AMPAR binding (Fig. 3C). By using this sensitive method, we identified short stretches within the CNIH proteins that directly interact with AMPARs (Fig. 3C). The data are quantified in a histogram by recording how many peptides containing a particular amino acid were positive in the peptide array blot in either blue (CNIH-3) or red (CNIH-1; Fig. 3D). This result identified regions of the extracellular and intracellular loops adjacent to the first two TM segments as candidate AMPAR binding regions common between CNIH-1 and CNIH-3. It also implicates the portion of the extracellular loop specific to CNIH-2/3 as an additional possible interacting segment. No AMPAR binding was detected beyond the intracellular loop, and therefore this part of sequences of CNIHs is omitted from the histogram.
Identification of specific CNIH residues critical for AMPAR binding
To further narrow down the critical residues within the regions of CNIH-3 that showed highly positive AMPAR binding, we sequentially mutated three residues at a time to alanines. For example, DEL32AAA mutant denotes the conversion of the residues DEL to AAA, in which the number in the middle represents the location of the first amino acid that was mutated. Nine of the 12 mutants expressed in HEK cells (Fig. 4A–C). We coexpressed each of these mutants with GluA2 in HEK cells and tested their ability to interact with GluA2 in CoIP experiments. Although the nine mutants were expressed at approximately equal levels, three mutants, DEL32AAA, VPL104AAA, and LFY107AAA, showed significantly reduced interaction with GluA2 (p = 0.0001, 0.0029, and 0.0011, respectively, using unpaired t test, n = 3; Fig. 4A,B, stars). The subcellular localization and surface expression of the CNIH-3 mutants were indistinguishable from that of the WT, as shown by their similar total and surface protein distributions (Fig. 4D, top and bottom, respectively). Thus, the loss of interaction is unlikely to be the result of protein mislocalization. Residues in the extracellular loop specific to CNIH-3 appeared as binding candidates in the peptide array experiments, but none of the three mutants in this area (RER61AAA, LRN64AAA, and IER67AAA) exhibit reduced interaction with GluA2. Collectively, these results identify specific residues in the CNIH-3 molecule that are critical for binding to the AMPAR, located in two distinct regions: the DEL sequence in the membrane-proximal extracellular loop regions and the VPLLFY sequence in the membrane-proximal cytoplasmic region.
Parallel reduction in functional and physical interaction in CNIH-3 mutants
CNIH-3 slows AMPAR desensitization (Schwenk et al., 2009; Kato et al., 2010; Shi et al., 2010; Coombs et al., 2012). We compared WT CNIH-3 and the CNIH-3 mutants identified to have reduced physical interaction (Fig. 4B) in their ability to modulate AMPAR desensitization. AMPAR desensitization kinetics were recorded with glutamate application to outside-out patches obtained from HEK cells coexpressing the CNIH-3 constructs with GluA2. Consistent with previous reports (Schwenk et al., 2009; Coombs et al., 2012), the addition of WT CNIH-3 dramatically slows receptor desensitization (τdes = 64.5 ± 4.5 ms, n = 11) compared with its absence (τdes = 4.8 ± 0.2 ms, n = 27). Interestingly, all of the CNIH mutants that showed reduced physical interaction with GluA2 featured reduced ability to modulate AMPAR desensitization kinetics compared with WT CNIH-3, resulting in τdes values intermediate between those of WT CNIH-3 and no CNIH-3 at all (Fig. 4E,F; Table 1). Therefore, reduced binding to the receptor appears to attenuate the modulatory action of CNIH-3.
Specificity of interaction between CNIHs and AMPARs
The residues mediating AMPAR interaction in CNIH-3 are well conserved in CNIH-1, raising the question of what determines the specificity of interaction. Therefore, we tested whether CNIH-1 physically interacts with GluA2. Interestingly, when coexpressed in HEK cells, rat GluA2 coimmunoprecipitates with rat CNIH-1, CNIH-2, and CNIH-3 (Fig. 5A). In addition, using MS, we found that all homologs, CNIH-1 to CNIH-4, copurify with GluA2 from human brain (Fig. 5B,C), thus providing the first evidence for an involvement of CNIH-1 and CNIH-4 in AMPAR function in human brain. Furthermore, we found that small amounts of HEK cell-derived endogenously expressed CNIH-1 and CNIH-4 in addition to CNIH-3 copurify with recombinant rat GluA2 overexpressed in HEK cells (Fig. 5D). No endogenous CNIHs were copurified when heterotetrameric NMDARs made of GluN1 and GluN2B were overexpressed and purified from HEK cells, serving as a negative control. Collectively, our results highlight species differences in the molecular composition of endogenous AMPAR/CNIH complexes. We hypothesize that the regional difference in CNIH-1 expression and perhaps greater coexpression with GluA2 in humans compared with rats could contribute to the difference in the molecular composition of the AMPAR complexes between the two species. The protein sequences of human and rat CNIH-1 are conserved, and thus interaction between rat CNIH-1 and GluA2 should share molecular mechanism with human homologs.
CNIHs interact specifically with AMPARs and not with kainate receptors in the brain under our immunoprecipitation conditions, as shown by Western blot (Fig. 5E) and by MS previously (Shanks et al., 2012) This specificity is reproducible in HEK cells. When we immunoprecipitated CNIH-3 from detergent-extracted membranes of HEK cells coexpressing CNIH-3 and either GluA2 or GluK2, a significant amount of GluA2 coprecipitated with CNIH-3, whereas GluK2 did not (p < 0.0001 using unpaired t test, n = 5; Fig. 5F). This result suggests that CNIH-3 recognizes the difference in amino acid sequences between AMPA and kainate receptor subunits, supporting specificity in binding.
Functional interaction between CNIH-3 and GluA2 in HEK cells
CNIH-2 and CNIH-3 but not CNIH-1 are known to modulate AMPARs by slowing AMPAR deactivation and desensitization kinetics in HEK cells (Schwenk et al., 2009; Kato et al., 2010; Shi et al., 2010; Coombs et al., 2012). Consistently, the effect of CNIH-1 coexpression on GluA2 desensitization kinetics was significant but was much weaker than for CNIH-3 [τdes = 5.2 ± 0.1 ms (n = 6) and 13.1 ± 1.0 ms (n = 9) for GluA2 with and without CNIH-1, respectively; p = 6.76E-05, unpaired t test with Welch's correction for unequal variances; (Fig. 4E,F; Table 1)]. The expression of GluA2 in the presence of the AMPAR auxiliary subunit stargazin in HEK cells results in cytotoxicity that can be prevented by the AMPAR antagonist NBQX. Because both stargazin and CNIHs enhance surface trafficking of AMPARs and increase charge transfer through the channel (Fig. 4E; Schwenk et al., 2009; Kato et al., 2010; Shi et al., 2010), we examined whether coexpression of CNIHs and GluA2 has similar cytotoxicity in HEK cells. In fact, the addition of either CNIH-3 or stargazin, but not CNIH-1, in the DOX-inducible GluA2-expressing HEK cells significantly increased the amount of cell death that occurred 30 h after DOX induction (Fig. 5G). The competitive AMPAR antagonist NBQX blocked the cell death.
To quantify this observation, we conducted a nonradioactive cell proliferation assay that optically detects the metabolic conversion of tetrazolium salt to a formazan product that takes place in proliferating cells. The quantity of formazan detected by optical absorbance at 570 nm correlates with the ability of cells to proliferate (Mosmann, 1983; Campling et al., 1988; Jover et al., 1994). Cell proliferation of various stable HEK cells were compared in the presence or absence of NBQX after inducing protein expression of GluA2 with DOX. The growth of cell lines coexpressing GluA2 and CNIH-3 was significantly reduced in the absence of NBQX (p < 0.001, n = 8). Similar results were obtained from the cell line coexpressing GluA2 and stargazin (p < 0.001, n = 8). Cells coexpressing GluA2 and CNIH-1 grew equally well regardless of the presence of NBQX. DOX was applied at the same concentration (7.5 μg/ml) in all experiments and did not affect the growth of any cell lines. We interpret that cell death and reduced cell proliferation are caused by the enhanced GluA2 ion channel activation by the glutamate present in the cell media. A weak functional interaction of CNIH-1 with AMPAR was seen in the channel recordings but not the cell proliferation assay because of assay sensitivity. Although both CNIH homologs CNIH-1 and CNIH-3 can physically interact with AMPARs in vitro (Fig. 5A), the magnitude of functional interaction with AMPARs was significantly different between the two homologs (Fig. 5G). This suggests that binding of CNIHs to AMPARs is dissociable from AMPAR channel modulation.
Domains of GluA2 contributing to complex formation
We next investigated which domain of AMPARs interacts with the loop region specific to CNIH-3 using a peptide array containing peptides of the CNIH-1 and CNIH-3 extracellular loops and adjacent TM regions. Octa-histidine tagged GluA2 LBD (S1S2; Armstrong and Gouaux, 2000) or NTD (Jin et al., 2009; Rossmann et al., 2011) were used to probe the arrays (Fig. 6A,D). The LBD probe contains part of the linker that connects the LBD and TM4 (see Materials and Methods). Peptides binding to the AMPAR LBD or NTD were detected using an anti-His antibody, and the results (Fig. 6B,E, top) were analyzed using the same method as in Figure 3D (shown in Fig. 6C,F). Residues that interacted with the probes are highlighted in either blue (CNIH-3) or red (CNIH-1). In a negative control experiment, we probed the array with only the anti-His antibody omitting the NTD or LBD probes and found only two positive spots (Fig. 6E, bottom). These spots were positive regardless of probing with NTD or LBD and thus removed from analysis. Because the two positive spots in the array probed with NTD were also positive in the negative control experiment, it is primarily the GluA2 LBD that interacts with the CNIH-3 extracellular loop. It is currently unclear whether the region encompassing the two spots also interacts with the NTD.
Membrane-proximal regions of CNIH-3 were critical for the interaction with GluA2, and thus we inferred that, similarly, TM- and membrane-proximal regions would be prime candidate regions within GluA2 responsible for the interaction. In light of the specificity of the interaction of CNIH-3 with the AMPAR subunit GluA2 but not with the kainate receptor subunit GluK2 (Fig. 5E,F), we created a series of GluA2/GluK2 chimeric constructs that have varying degrees of conversion of the membrane-spanning segments and the linkers connecting the TMD and LBD (Fig. 6G,H). These chimeras are based on ones originally created and proven to be functional (Ayalon and Stern-Bach, 2001). When coexpressed in HEK cells, GluA2 interacts robustly with CNIH-3. In contrast, all of the GluA2/GluK2 chimeras showed a markedly decreased ability to interact with CNIH-3 (p < 0.0001, ANOVA, n = 3; Fig. 6I). Because there were no clear differences in the ability to interact with CNIH-3 between the different chimeras (no statistical significance by ANOVA and Tukey's multiple comparisons test, n = 3), these results did not identify a specific region in the membrane-proximal portion of GluA2 subunit that is critical for the CNIH interaction. However, they demonstrate that the maintenance of the intact GluA2 TM regions and membrane-proximal linkers is important for the interaction with CNIH-3. GluK2 did not coimmunoprecipitate with CNIH-3 from brain or HEK cells. However, this observation does not exclude the possibility that the biochemical conditions used, which favored AMPAR interaction with CNIH-3, did not preserve kainate receptor interaction with CNIH-3.
CNIH-2/3-specific extracellular loop residues contribute to GluA2 interaction and gating
The peptide array experiments in Figure 3 suggested an interaction between the extracellular loop region specific to CNIH-2/3 and AMPARs, but none of the alanine mutations within this specific region showed a significantly reduced interaction with GluA2. Additionally, the peptide array results in Figure 6 demonstrated that the AMPAR LBD interacts with the CNIH-3 extracellular loop, primarily in regions specific to CNIH-2/3 and absent in CNIH-1/4. Because CNIH-2/3 robustly modulate AMPAR function but CNIH-1/4 do not, the extracellular loop sequence selectively present in the active isoforms is of particular interest. Therefore, we designed a series of CNIH-3 mutants with targeted deletions within this CNIH-2/3-specific loop. In CNIH-3del, the entire portion was deleted. In CNIH-3del2 the first half (residues PVHARERL) and in CNIH-3del3 the second half (residues RNIERICF) were deleted (Fig. 7A). These CNIH-3 mutants showed reduced interaction with GluA2 in CoIP experiments in HEK cells (Fig. 7B,C). The full deletion and CNIH-3del3 resulted in a statistically significant reduction in interaction with AMPARs, suggesting that the CNIH-2/3-specific region (especially the second half) is important for the interaction with AMPARs. However, this is likely a more intricate interaction that cannot be disrupted by simply mutating a few individual residues.
To further understand the interactions between the AMPAR extracellular domains and the CNIH-3 extracellular loop, we made targeted CNIH-3 deletion mutants and removed the key residues that showed positive hits in the peptide array experiments: CNIH-3delNTD (residues HARERL deleted) and CNIH-3delLBD (residues ERICFLL deleted; Fig. 7A). In CoIP experiments, both the CNIH-3delLBD and CNIH-3delNTD mutants indeed showed a significantly reduced interaction with GluA2 compared with WT CNIH-3 (Fig. 7B,C).
Comparison using one-way ANOVA followed by Tukey's multiple comparisons test revealed that deletions in the last half of the CNIH-2/3-specific region, including CNIH-3del3 and CNIH-3delLBD, results in the most significant reduction in interaction with GluA2 (**p < 0.01), whereas deletions in the first half, including CNIH-3del2 and CNIH-3delNTD, were not significant or had a less significant effect (*p < 0.05). The same pattern was observed in our electrophysiological recordings: although all of these mutants slow GluA2 desensitization significantly less than the WT, this effect is more pronounced for CNIH-3del3 and CNIH-3delLBD than for CNIH-3del2 and CNIH-3delNTD (Fig. 7D,E; Table 1).
Because the CNIH-2/3-specific segment is critical for gating modulation of AMPARs, we revisited whether three smaller alterations in this segment described previously that retain normal ability to interact with GluA2 (RER61AAA, LRN64AAA, and IER67AAA; Fig. 4B) affect desensitization kinetics differently from WT CNIH-3. Collectively, these mutants appeared to affect the rate of GluA2 desensitization to a smaller extent than the WT CNIH-3; however, this effect was only statistically significant in case of LRN64AAA (Fig. 7F).
Together, these experiments show that the CNIH-2/3-specific region in the loop is responsible for the physical and functional interaction with AMPAR and that the AMPAR LBD primarily interacts within this region. Given the greater number of positive spots in the peptide array and the greater deficit in AMPAR desensitization and copurification in the targeted CNIH-3 mutants, the LBD likely plays a more significant role in this interaction than the NTD. The reduced gating modulation observed in the CNIH-3delNTD mutant may be a neighborhood effect attributable to mutating adjacent residues critical for the LBD interaction.
Interestingly, mutating a few amino acids in the CNIH-2/3-specific loop segment (LRN64AAA) results in increased rate of desensitization compared with the WT CNIH-3 but maintains normal physical interaction. This demonstrates a proof of principle that it is possible to produce engineered CNIH-3s that possess altered gating modulation without affecting their physical interaction with AMPARs.
Discussion
The molecular mechanisms of AMPAR modulation by auxiliary subunits are best understood for the extensively studied TARPs (Chen et al., 2000; Tomita et al., 2005; Turetsky et al., 2005; Menuz et al., 2007) but are unclear for other auxiliary subunits, such as CNIHs. In this study, by combining a variety of techniques, including biochemistry, single-particle EM, proteomics, cell biology, electrophysiology, and high-throughput peptide arrays, we investigate the AMPAR/CNIH interaction and determine how specific CNIH amino acid residues interact physically and functionally with the AMPAR extracellular domains.
The functional interaction between TARPs and AMPARs requires the first extracellular loop and the C-terminal portions of the TARP molecule (Tomita et al., 2005). However, it is unclear whether or how these regions physically interact with the AMPAR itself. Specifically, they could be critical for transducing allosteric modulation without physically interacting with the extracellular portion of the AMPAR, with the actual binding occurring elsewhere in the molecule. Previously, there was no direct evidence for physical interaction between the extracellular domain of AMPARs and extracellular loops of any of the known auxiliary subunits.
To address these questions, we focused on CNIHs, because they are suitable for extensive structure–function correlation studies as a result of their low molecular weight. Screening by sensitive peptide array-based binding assays followed by site-directed mutagenesis identified, at a precision of several amino acids, two loci within the extracellular loop of CNIH-3 that mediate physical interaction with GluA2 (Fig. 4A, left star and blue region). An additional locus that mediates binding exists in the TM region and adjacent intracellular loop (Fig. 4A, right two stars). Furthermore, the extracellular LBD physically interacts with the CNIH-3 extracellular loop. AMPARs by themselves are blocked by their antagonist CNQX, but this antagonist induces gating when AMPARs are in complex with TARPs (Menuz et al., 2007). Based on the observation that the crystal structure of the LBD was no different whether in complex with CNQX or the full antagonist NBQX, it has been hypothesized that TARPs amplify the conformational changes of the LBD of AMPARs (Menuz et al., 2007). Despite this hypothesis, no direct binding between the LBD and the stargazin extracellular loop has been demonstrated to date. This study on CNIH-3 highlights the novel AMPAR LBD interaction involved in the auxiliary subunit-mediated modulation of AMPAR gating. Similar interactions likely apply to auxiliary subunits other than CNIH-3, such as for stargazin/TARPs.
We find that CNIH-1 and CNIH-3 associate with GluA2, but gating modulation activity is significantly stronger in CNIH-3-containing complexes, suggesting that binding and AMPAR gating modulation are dissociable mechanisms. Consistently, the two TM-proximal segments of CNIH-3 necessary for the physical interaction with AMPARs (Fig. 4A,B, green stars) are well conserved among the CNIHs. In contrast, the extracellular loop segment specific to CNIH-2/3 is involved in the physical interaction and also in modulation of AMPARs (Fig. 4A, blue segment). The CNIH-3 LRN64AAA mutant, which binds normally to AMPARs but possesses attenuated gating modulation activity, represents an interesting case in which a small amino acid alteration results in a phenotype dissociating the ability to bind and to modulate gating.
We report that CNIH-1 interacts with AMPARs. What is the functional significance of CNIH-1 in the nervous system? Transcript levels of CNIH-1, CNIH-2, and CNIH-3 are all upregulated in the dorsolateral prefrontal cortex of brains from schizophrenic patients (Drummond et al., 2012), consistent with the idea that there may be functional significance of CNIH-1 in human brain. C. elegans have a CNIH homolog, CNI-1, that is more homologous to mammalian CNIH-1 than CNIH-2/3 (Brockie et al., 2013). The cni-1 mutant worm exhibits increased glutamate-gated currents and a dramatic hyperreversal behavioral phenotype, whereas overexpression of CNI-1 or vertebrate CNIH homologs lead to the opposite effect. These experiments demonstrate a conserved role for the CNIH homologs in limiting the ER export of AMPARs (Brockie et al., 2013). However, the CNIH loss-of-function phenotype observed in C. elegans differs from that observed in mice. In the mouse hippocampus, knock-out of CNIH-2/3 resulted in reduction of glutamate-evoked currents (Herring et al., 2013). In mice, CNIHs positively regulate AMPAR forward trafficking, whereas in C. elegans they negatively regulate this process. Our work suggests that CNIHs and AMPARs make physical contacts at multiple points, with two regions of CNIHs contributing to stabilizing the complex and a third region contributing to both channel modulation and complex stabilization. The former regions are conserved between all species, including C. elegans, and thus the evolutional acquisition of the third contact region in mammals may have contributed to the functional diversification. Additional studies will be required to clarify the precise regulatory roles of CNIHs in different species.
The size of the TM density of the AMPAR particle significantly increased when CNIH-3 was present. Additional Fab labeling experiments confirmed that this increase is attributable to the presence of CNIH-3. Although this method cannot be used quantitatively because the Fab fragment binding affinity does not always allow stoichiometric binding, the data clearly demonstrate instances of two CNIH-3 molecules simultaneously binding to a single GluA2 tetramer. Even in the presence of CNIH-3 the two NTD dimers are close to each other and the structure resembles the previously reported domain organization of the extracellular domains of GluA2 tetramers in the unliganded state (Nakagawa et al., 2005, 2006).
From our data, it is unclear whether the AMPAR NTD is also involved in CNIH-3-mediated functional modulation of AMPARs (Figs. 6, 7). Binding sites for extracellular proteins within the NTD have been suggested for many glutamate receptor types, including neuronal pentraxins (O'Brien et al., 1999; Sia et al., 2007) and N-cadherin (Passafaro et al., 2003; Saglietti et al., 2007) for AMPARs, Cbln1 for delta-2 receptors (Matsuda et al., 2010), and ephrin receptors for NMDARs (Dalva et al., 2000). For AMPARs in particular, the NTD has been shown to play an important role in the regulation of receptor assembly by acting as a gatekeeper to ensure ionotropic GluR subtype-specific assembly (Leuschner and Hoch, 1999; Ayalon and Stern-Bach, 2001; Rossmann et al., 2011; Herguedas et al., 2013). Recent structural data and computational modeling suggest that NTDs of AMPARs are flexible enough to accommodate inter-protomer rotation, which could potentially be transduced to the downstream receptor components that mediate gating (Sukumaran et al., 2011; Dutta et al., 2012). However, given the crystal structure of claudin-15 (Suzuki et al., 2014), a distant homolog of stargazin/TARPs, unless the NTD could move toward the membrane [which is suggested in the EM structure of AMPAR bound to glutamate (Nakagawa et al., 2005)] or the extracellular loops of auxiliary subunits adopt conformations distinct from claudin-15, it would be unlikely that the NTD could interact with the extracellular loops of the auxiliary subunits. Of note, an interaction between the NTD and TARPs has indeed been described (O. Cais and I. Greger, unpublished observations). Additional biophysical studies are needed to address this attractive hypothesis.
In conclusion, our detailed analysis of the interaction provides greater insight about the complexity of AMPAR modulation by auxiliary subunits. We mapped the interactions between the AMPAR and CNIH-3, confirming previous speculations about interactions between extracellular loops of auxiliary subunits with the AMPAR LBD. This knowledge will be useful in conducting higher-resolution structural studies of AMPAR complexes, which may pave the way to developing new therapeutic agents targeting AMPARs.
Footnotes
We thank Osamu Chisaka (Kyoto University) for the anti-CNIH antibody and C. J. Allison and Susan Taylor [University of California, San Diego (UCSD)] for preparing the peptide array used in the initial experiments. We acknowledge the use of the UCSD Cryo-Electron Microscopy Facility, which was supported by National Institutes of Health (NIH) Grants 1S10RR20016 and GM033050 (to Dr. Timothy S. Baker) and a gift from the Agouron Institute to UCSD. N.F.S is supported by NIH Molecular Biophysics Training Grant GM08326 at UCSD. C.M.A. is supported by the NIH Molecular Biophysics Training Grant GM008320 at Vanderbilt University Medical Center. J.N.S. is supported by National Institute of Aging Fellowship F32AG039127. J.R.Y. is supported by NIH Grants R01 MH067880, P41 GM103533, and R01 HL079442. T.N. was supported by NIH Grant R01HD061543 and Vanderbilt University Medical Center.
- Correspondence should be addressed to Terunaga Nakagawa, Department of Molecular Physiology and Biophysics, Center for Structural Biology, Vanderbilt University, School of Medicine, 766 Robinson Research Building, Nashville, TN 37232. terunaga.nakagawa{at}vanderbilt.edu