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Int J Biol Sci 2008; 4(6):387-396. doi:10.7150/ijbs.4.387

Research Paper

LGI1 and LGI4 bind to ADAM22, ADAM23 and ADAM11

Koji Sagane1,2 Corresponding address, Yasushi Ishihama1,*, Hachiro Sugimoto2

1. Tsukuba Research Laboratories, Eisai Co., Ltd., Tokodai 5-1-3, Tsukuba, Ibaraki 300-2635, Japan.
2. Department of Neuroscience for Drug Discovery, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan.
* Present address: Institute for Advanced Biosciences, Keio University, Daihoji, Tsuruoka, Yamagata 997-0017, Japan.

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) License. See for full terms and conditions.
How to cite this article:
Sagane K, Ishihama Y, Sugimoto H. LGI1 and LGI4 bind to ADAM22, ADAM23 and ADAM11. Int J Biol Sci 2008; 4(6):387-396. doi:10.7150/ijbs.4.387. Available from


The transmembrane protein ADAM22 is expressed at high levels in the brain. From its molecular structure, ADAM22 is thought to be an adhesion molecule or a receptor because it has functional disintegrin-like and cysteine-rich sequences in its ectodomain. The phenotypic analysis of ADAM22-deficient mice has indicated the important roles played by ADAM22 in proper neuronal function and peripheral nerve development, however, the precise molecular function of ADAM22 is still unknown. To understand the function of ADAM22 on a molecular basis, we identified ADAM22 binding proteins by using immunoprecipitation and mass spectrometric analysis. This analysis revealed that Leucine-rich glioma inactivated 1 (LGI1) is the most potent ADAM22 binding protein in mouse brain. By our quantitative cell-ELISA system, we demonstrated the specific binding of LGI1 with ADAM22. Furthermore, we showed that LGI4, a putative ADAM22 ligand, also bound to ADAM22. Characterization of the binding specificity of LGI1 and LGI4 suggested that ADAM22 is not a sole receptor, because ADAM11 and ADAM23 had a significant binding ability to LGI1 or LGI4. Therefore, LGI-ADAM system seems to be regulated not only by the affinity but also by the cell-type-specific expression of each protein. Our findings provide new clues to understand the functions of LGI1 and LGI4 as an ADAMs ligand.

Keywords: ADAM22, ADAM23, LGI1, LGI4, GeLC-MS


A Disintegrin And Metalloprotease (ADAM) is a family of membrane-spanning multi-domain proteins containing a metalloproteinase-like domain and a disintegrin-like domain. Already, more than 30 ADAMs have been identified in mammals. Some types of ADAM are catalytically active metalloproteases and they control receptor-mediated signals by activating membrane-bound growth factors or by shedding the ectodomain of cell-surface receptors [1,2]. ADAMs are also involved in cell-cell or cell-matrix adhesion through their interaction with integrins or syndecans. More than 10 ADAMs have been shown to support integrin-mediated cell adhesion in vitro [3]. An analysis of knockout mice has revealed the physiological roles of ADAM family proteins in fertilization, myogenesis and neurogenesis [4,5].

We have reported our findings on ADAM11, ADAM22 and ADAM23 genes and their restricted expression in the nervous system [6,7]. Sequence analysis suggests that they are not metalloproteases, since they all lack a catalytic motif. Recently, we revealed that ADAM11 is essential for a proper neuronal function because ADAM11-deficient mice showed deficits in special learning, motor coordination and nociceptive response [8,9]. Furthermore, we have reported that mice with a truncated mutation of ADAM22 exhibited ataxia, seizure and hypomyelination in the peripheral nerves [10]. It has been reported that the disruption of the Adam23 gene in mice results in premature death associated with ataxia and tremor [11]. These findings indicate that these three ADAMs are non-redundant and have distinct functions.

In this study, we identified LGI1 as a specific binding partner of ADAM22 protein from mouse brain, and demonstrated the specific interaction between LGI1 and ADAM22 by employing a quantitative cell-ELISA assay. We also showed that LGI4 binds to ADAM22 as well. In addition, characterization of the binding specificity of LGI1 and LGI4 revealed that ADAM22 is not a sole receptor for them. Our results suggest that LGI-ADAM system is more complicated than initially thought.


Experimental Animals

All the animal procedures conformed to Japanese regulations on the care and use of animals. Moreover, the procedures were in accordance with the Guideline for Animal Experimentation of the Japanese Association for Laboratory Animal Science, and were approved by the Animal Care and Use Committee of Eisai Co., Ltd. Male C57/BL6 mice were purchased from Charles River Japan (Tokyo, Japan).


The rabbit anti-ADAM22-cyto polyclonal antibody was created in our laboratory [10]. The anti-FLAG-M2 mouse monoclonal antibody and anti-HA11 mouse monoclonal antibody were purchased from SIGMA (MO, USA) and Covance (NJ, USA), respectively.


C57/BL6 mice were sacrificed and their whole brains were quickly removed, frozen in liquid nitrogen, and stored at -80 °C. Each mouse brain was homogenated with a Polytron homogenizer in 5 ml of TN buffer (50 mM Tris-HCl, pH 7.4, 150 mM NaCl, 1 % NP-40) containing protease inhibitor cocktail (Roche Diagnostics, Mannheim, Germany). To remove debris, the homogenates were centrifuged at 15,000g for 5 min, and the resulting supernatants were cleared by 0.45 μm filtration. Anti-ADAM22-cyto antibody (4 μg) were added to 1.6 ml of cleared brain homogenate and incubated for 60 min at room temperature, followed by incubation with 100 μl of Protein-G Agarose (Roche Diagnostics, Mannheim, Germany). The agarose beads were washed three times with TN buffer, and then the bound proteins were eluted in 100 μl of 1.25x SDS-PAGE sample buffer at 95 °C. As a negative control, rabbit normal IgG was used instead of anti-ADAM22-cyto antibody.

Immunoblot and Silver Stain Analysis

The samples were separated on 10 % SDS-PAGE, and transferred to a nitrocellulose membrane. The blot was then incubated with anti-ADAM22-cyto antibody (0.4 μl/ml), and visualized with HRP-conjugated anti-rabbit IgG and an ECL-Plus chemiluminescence detection system (GE Healthcare, NJ, USA). Silver staining was performed using Silver Stain Kit (Daiichi Pure Chemicals, Tokyo, Japan) according to the manufacturer's instructions.

Protein Identification of 60 kDa Gel Band by Mass Spectrometry

The target gel band at 60 kDa and the corresponding band of the negative control were excised after silver staining. In-gel digestion was performed in the presence of Cymal-5 according to the protocol described by Katayama et al. [24]. After being desalted using StageTips [25], each sample was analyzed with a nanoLC-MS system consisting of a Finnigan LTQ mass spectrometer (Thermo Fisher Scientific, Bremen, Germany), a Dionex Ultimate3000 pump with an FLM-3000 flow manager (Germering, Germany) and an HTC-PAL autosampler (CTC Analytics, Zwingen, Switzerland). ReproSil-Pur C18 materials (3 μm, Dr. Maisch, Ammerbuch, Germany) were packed into a self-pulled needle (150 mm length x 100 μm I.D., 6 μm opening) to prepare an analytical column needle [26] The injection volume was 5 μL and the flow rate was 500 nL/min. The mobile phases consisted of (A) 0.5 % acetic acid and (B) 0.5 % acetic acid and 80 % acetonitrile. A two-step linear gradient of 5 % to 30 % B in 15 min, 30 % to 100 % B in 5 min and 100 % B for 10 min was used. A spray voltage of 2400 V was applied. The MS scan range was m/z 300-1500 and the top ten precursor ions were selected for subsequent MS/MS scans. A Mass Navigator v1.2 (Mitsui Knowledge Industry, Tokyo, Japan) was used to create peak lists on the basis of the recorded fragmentation spectra. Peptides and proteins were identified by Mascot v2.1 (Matrix Science, London) against UniProt/SwissProt v54.0 with a precursor mass tolerance of 2.0 Da, a fragment ion mass tolerance of 0.8 Da, rodent taxonomy, and strict trypsin specificity allowing for up to 1 missed cleavage. The carbamidomethylation of cysteine was set as a fixed modification, and methionine oxidation was allowed as a variable modification. Peptides were considered identified if the Mascot score was over the 95 % confidence limit based on the 'identity' score of each peptide, and at least two peptides per protein were observed for protein identification. The protein content was calculated based on the emPAI values [13]. Briefly, the number of observed precursor ions per protein was normalized by the number of observable peptides per protein. Then, these normalized values were converted to exponential values so that they were proportional to the protein abundance. The emPAI calculation was performed automatically using a script called emPAI Calc (

Affinity Purification of mouse ADAM22 complex

The ADAM22-matrix was constructed by coupling 50 μg of anti-ADAM22-cyto antibody with 500 μl of AminoLink gel (PIERCE, IL, USA) according to the manufacturer's instructions. In the same way, normal rabbit IgG was used to construct the Negative-matrix. Brain homogenates obtained from one-third of a single brain were incubated with 55 μg of ADAM22-matrix or Negative-matrix for 60 min at room temperature. The matrixes were washed three times in TN buffer, then the bound proteins were eluted in 60 μl of 2x SDS-PAGE sample buffer at 95 °C. To obtain the final test samples with a 1x SDS concentration, the eluted samples were diluted with an equal amount of distilled water. These test samples were then subjected to immunoblot analysis, silver staining and GeLC-MS analysis.

GeLC-MS Analysis

After separation by SDS-PAGE (5-20 %, 0.5 mm thickness), entire lanes were cut out, sliced into 4 pieces, digested and desalted as described above. Each slice was analyzed with nanoLC-MS as described earlier except for the gradient condition where 5 % to 10 % B in 5 min, 10 % to 30 % B in 60 min, 30 % to 100 % B in 5 min and 100 % B for 10 min were used. The Mascot database searching against UniProt/SwissProt v54.0 was done for each sample and the obtained results were merged to allow a comparison of the ADAM22-immunoprecipitated sample and the negative control. The emPAI Calc script was used to estimate protein abundance.

Plasmid Construction

3.1M-mADAM22: Mouse ADAM22-A04 (alpha-form) cDNA was subcloned into the pcDNA3.1-vector (Invitrogen, CA, USA). 3.1M-hAD11-FG, 3.1M-hAD22a-FG, 3.1M-hAD23-FG: The cDNAs encoding human ADAM11, ADAM22-alpha, ADAM23 tagged with the FLAG epitope (DYKDDDDK) at the C-terminus were subcloned into the pcDNA3.1-vector. 3.1M-mLGI1-HA, 3.1M-mLGI4-HA: Mouse LGI1 and LGI4 cDNAs were amplified from mouse brain Quick-Clone cDNA (Clontech, CA, USA) with a FastStart High Fidelity PCR System (Roche Diagnostics, Mannheim, Germany). The amplified DNA fragments were cloned into the pT7Blue-vector (Novagen, WI, USA). After sequence verification, each cDNA was tagged with the HA epitope (YPYDVPDYA) at the C-terminus, and subcloned into the pcDNA3.1-vector.

Cell-based ELISA

HeLa cells were cultured in RPMI-1640 medium with 10 % calf serum, and plated onto a 96-well cell culture plate one day before transfection. Two plasmids (0.1 μg each) were mixed and cotransfected to the HeLa cells using Lipofectamine2000 reagent (Invitrogen, CA, USA). After a 48 hr incubation, the cells were washed twice with D-PBS (SIGMA, MO, USA), and fixed in 4 % paraformaldehyde (Wako Pure Chemicals, Osaka, Japan) for 15 min. To detect cell surface HA-epitope, the cells were immediately transferred to the blocking step without permeabilization. Instead, when detecting the total amount of FLAG-epitope, the cells were permeabilized with 0.1 % TritonX-100 for 15 min, followed by blocking. Blocking was performed using 1x Blockace solution (Dainippon Pharmaceutical, Osaka, Japan) for 30 min at room temperature. The cells were incubated with primary antibodies (anti-HA; 1:500 dilution, anti-FLAG; 1:1000 dilution) for 30 min, and then washed three times with TBST (50 mM Tris-HCl pH 7.4, 500 mM NaCl, 0.05 % Tween20). After being washed, the cells were incubated with HRP-conjugated sheep anti-mouse-IgG antibody (GE Healthcare, NJ, USA) in a 1:1000 dilution for 30 min and then washed three times. The cell-bound secondary antibodies were detected using TMB substrate solution (KPL, MD, USA). The colorimetric reaction was stopped by the addition of the TMB Stop solution (KPL, MD, USA) and the resulting plates were measured at 450 nm absorption with a SUNRISE microplate reader (Tecan Japan, Kanagawa, Japan).


Isolation of ADAM22 binding proteins from mouse brain

To isolate ADAM22 binding proteins from mouse brain, we performed immunoprecipitation experiments using anti-ADAM22-cyto antibody, which recognizes the cytoplasmic region of human and mouse ADAM22 protein. First, the immunoprecipitates of anti-ADAM22-cyto antibody from mouse whole brain were examined by immunoblot analysis. As shown in Figure 1A, ADAM22 proteins were highly concentrated by this immunoprecipitation (lane 3). On the other hand, no ADAM22 protein was detected in the immunoprecipitates of normal rabbit antibody (lane 5). ADAM22 proteins were observed as multiple bands with molecular weights of 70 to 90 kDa. These multiple bands are thought to be proteins translated from splicing variants, because a wide variety of ADAM22-transcripts have been reported in mice [10,12]. Second, the protein composition of ADAM22-immunoprecipitates (sample #3) and negative-IP-control (sample #5) were analyzed by silver staining (Figure 1B). A strong band with a molecular weight of approximately 60 kDa (arrow in Figure 1B) was observed in the ADAM22-immunoprecipitates but not in the negative control, suggesting that this 60-kDa protein is a specific binder of ADAM22. Mass spectrometry analysis revealed that the most abundant protein (68.7 %) in this 60 kDa band was Leucine-rich glioma inactivated-1 (LGI1) based on the emPAI score, which is derived from the number of observed peptides per protein and is proportional to protein abundance [13]. The predicted molecular weight of mouse LGI1 is approx 63 kDa, which is consistent with the mobility in our SDS-PAGE analysis.

 Figure 1 

Immunoprecipitation of ADAM22 from mouse brain. A) Immunoblot analysis. Each sample was examined by immunoblot analysis using anti-ADAM22-cyto antibody. B) Silver stain analysis. Immunoprecipitates of ADAM22-cyto (#3) and control IgG (#5) were examined by silver stain analysis. ADAM22 proteins are indicated by arrowheads and the 60-kDa specific band is indicated by an arrow. C) Mass spectrometric analysis. Protein list of the identified proteins in 60 kDa band of ADAM22-immunoprecipitates. *Content (%) was calculated using emPAI values. D) Identified peptides assigned mouse LGI1. PeptScore is the Mascot peptide score for each peptide in identification.

Int J Biol Sci Image (Click on the image to enlarge.)

GeLC-MS analysis of ADAM22-IP-complex

Comparative GeLC-MS analysis [14] is a good way to obtain information about the composition profile of a protein complex. However, when we used immobilized protein-G and primary antibody for the purification, a large amount of IgG coeluted in the immunoprecipitate sample sometimes prevents effective protein detection. To overcome this problem, we made two types of affinity matrixes, which were covalently linked by rabbit anti-ADAM22-cyto antibody (ADAM22-matrix) or control rabbit IgG (negative-matrix), respectively. Both matrixes were incubated with cleared homogenate obtained from mouse whole brain, washed thoroughly and eluted with a solution containing denaturing agents. As shown in Figure 2A, effective purification of ADAM22-complex was accomplished by using the ADAM22-matrix. Figure 2B indicates the decrease in the amount of IgG in sample #7 with keeping the 60 kDa-binding protein (arrow). We performed GeLC-MS analysis and identified 133 and 162 proteins for samples #7 and #9, respectively. Table 1 shows 133 proteins identified from the ADAM22-matrix, and these proteins are plotted by the number of identified peptides for the ADAM22-matrix and the negative-matrix (Figure 2C). This graph clearly shows that ADAM22 and LGI1 were specifically bound to the ADAM22-matrix among the 133 proteins.

 Table 1 

Comparative GeLC-MS analysis. 133 proteins identified for sample #7 (ADAM22-matrix bound proteins) were arranged according to the numbers of unique peptides observed with GeLC-MS analysis. For each protein, the numbers of observed peptides for sample #9 (negative-matrix bound proteins) are also indicated.

Int J Biol Sci Image (Click on the image to enlarge.)
Int J Biol Sci Image (Click on the image to enlarge.)
 Figure 2 

Comparative GeLC-MS analysis for ADAM22-matrix bound proteins and negative-matrix bound proteins. A) Immunoblot analysis. Each sample was examined by immunoblot analysis using anti-ADAM22-cyto antibody. B) Silver stain analysis. The 60-kDa specific band is indicated by an arrow. Note that the amount of IgG was greatly decreased in sample #9. C) The number of identified peptides for 113 proteins from the ADAM22-matrix sample (x-axis) is plotted against that from the negative-matrix sample (y-axis). These 113 proteins are listed in Table 1.

Int J Biol Sci Image (Click on the image to enlarge.)

Interaction between ADAMs and LGI1 protein

The LGI1 protein is a secreted protein and ADAM22 is a type I transmembrane protein expressed on the cell surface. Therefore the interaction between these two molecules must occur outside the cell. To determine this interaction, we established a quantitative cell-based ELISA system by using the mouse HA-tagged LGI1 protein (LGI1-HA) and the anti-HA monoclonal antibody. As shown in Figure 3, the amount of cell-bound HA signal was elevated only when it was co-expressed with mouse ADAM22, suggesting that mouse LGI1-HA proteins bind to mouse ADAM22 protein in a specific manner. We next examined the binding specificity of LGI1 in relation to ADAM11, ADAM22 and ADAM23. As these ADAMs share similar sequences in the ectodomain, ADAM11 and ADAM23 were also strong LGI1 receptor candidates. To achieve an accurate normalization, we made assay plates in duplicate. Then we measured one plate for a cell-bound HA signal without permeabilization and examined the other plate for the total expression of ADAMs by FLAG detection under a permeabilized condition. As shown in Figure 4A, the strongest interaction was observed between mouse LGI1 and ADAM23. There was a moderate interaction for ADAM22 and a weaker interaction for ADAM11. After normalization with ADAM expression (Figures 4B), ADAM23 exhibited a strong interaction capacity comparable to that of ADAM22. In contrast, ADAM11 was less active than the others (43.3%). These results suggest that ADAM22 is not a sole receptor for LGI1.

Interaction between ADAMs and LGI4 protein

The LGI4 protein is another candidate ligand for ADAM22 receptor. This is because disruption of the Lgi4 gene in mice causes hypomyelination in the peripheral nerves and this phenotype is quite similar with that of the ADAM22 knockout mice. To address this hypothesis, we examined interaction between mouse LGI4 and mouse ADAM22 proteins by the cell-ELISA analysis. As shown in Figure 5, the significant amount of cell-bound LGI4-HA signal was detected only when it was co-expressed with mouse ADAM22, suggesting that mouse LGI4-HA proteins bind to mouse ADAM22 in a specific manner. We next examined the binding specificity of LGI4 for ADAM11, ADAM22 and ADAM23. Figure 6A shows that the strongest interaction was observed between mouse LGI4 and ADAM22. There was a moderate interaction for ADAM11 and ADAM23. These results suggest that LGI4 interacts with not only ADAM22 but also ADAM11 and ADAM23.

 Figure 3 

Interaction of mouse LGI1-HA with mouse ADAM22. Cell-bound mouse LGI1-HA proteins were quantified with a cell-based ELISA system. An elevated amount of LGI1-HA was detected only when mouse ADAM22 was cotransfected. Each bar represents the mean ± SEM (n = 4 wells).

Int J Biol Sci Image (Click on the image to enlarge.)
 Figure 4 

Binding specificity of LGI1-HA against ADAM11, ADAM22 and ADAM23. A) Cell-bound mouse LGI1-HA proteins (black) and total ADAMs-FLAG (white) were quantified with a cell-based ELISA system. Each bar represents the mean ± SEM (n = 4 wells). B) Mean values of the HA signal (cell-bound mouse LGI1-HA) were normalized by ADAMs (FLAG signal).

Int J Biol Sci Image (Click on the image to enlarge.)
 Figure 5 

Interaction of mouse LGI4-HA with mouse ADAM22. Cell-bound mouse LGI4-HA proteins were quantified with a cell-based ELISA system. An elevated amount of LGI4-HA was detected only when mouse ADAM22 was cotransfected. Each bar represents the mean ± SEM (n = 4 wells).

Int J Biol Sci Image (Click on the image to enlarge.)
 Figure 6 

Binding specificity of LGI4-HA against ADAM11, ADAM22 and ADAM23. A) Cell-bound mouse LGI4-HA proteins (black) and total ADAMs-FLAG (white) were quantified with a cell-based ELISA system. Each bar represents the mean ± SEM (n = 4 wells). B) Mean values of the HA signal (cell-bound mouse LGI4-HA) were normalized by ADAMs (FLAG signal).

Int J Biol Sci Image (Click on the image to enlarge.)


In a previous study, we revealed that ADAM22 is a cell-surface receptor predominantly expressed in neuronal tissues [6,7]. We then discovered several defects in ADAM22 deficient mice, including i) a delay in body weight gain, ii) hypomyelinated peripheral nerves, and iii) seizures and short life spans [10]. These results suggest that ADAM22 is essential for the maintenance of proper neuronal functions in mammals, however, little is known about ADAM22 at the molecular level. To elucidate the molecular function of ADAM22, we initiated a ligand-fishing study for ADAM22 protein.

In this study, to obtain ADAM22-specific binder from mouse brain, we performed immunoprecipitation using anti-ADAM22-cyto antibody and mass spectrometry analysis. Our GeLC-MS and emPAI analysis strongly suggested that LGI1 protein binds specifically to ADAM22. By employing a quantitative cell-based ELISA analysis, we demonstrated the specific interaction between LGI1 and ADAM22 on cultured cells.

The LGI1 gene was initially identified as a candidate tumor suppressor because the inactivation of the LGI1 gene is frequently observed in glioblastoma cell lines [15]. Later, the striking discovery was reported that the mutations in the LGI1 gene cause autosomal-dominant partial epilepsy with auditory features (ADPEAF) [16]. Further studies revealed that LGI1 is a secreted protein and most of the mutant LGI1 causing ADPEAF has a secretion defect, suggesting that LGI1 works as a soluble ligand for the unknown receptor [17]. From these data, together with our findings that the homozygous inactivation of the Adam22 gene causes seizures in mice, it seemed reasonable to speculate that LGI1 inputs the signal via ADAM22 on the cell surface, and an epileptic seizure would be caused by the impairment of LGI1-ADAM22 signaling.

The interaction of LGI1 with ADAM22 was first discovered by the immunopurification of the post-synaptic large complex using anti-PSD-95 antibodies [18]. The complex contained PSD-95, stargazin, ADAM22 and LGI1. Another group undertook the affinity purification of a Kv1 potassium channel complex, and discovered that it contained PSD-95, ADAM22 and LGI1 [19]. As PSD-95 is known to be a scaffold protein for a variety of receptors or ion channels [20], there was a possibility that LGI1 interacted indirectly with ADAM22 through the intermediary PSD-95. In contrast, our GeLC-MS analysis clearly showed that the interaction between LGI1 and ADAM22 is direct. This is probably because our ADAM22-cyto antibody specifically interacted with ADAM22 cytoplasmic domain, which was not covered with PSD-95.

In ADAM22-deficient mice, we observed hypomyelination in the peripheral nerves while CNS myelin was correctly formed [10]. A very similar phenotype was observed in claw paw mice and the causative mutation was recently discovered [23]. The authors found that claw paw mice have a 225 base pair insertion in Lgi4 gene, leading to the production of a protein that lacks exon 4. LGI4 is a member of the LGI family and has a sequence similarity with LGI1. Based on this information, another ligand-receptor pair can be identified, namely LGI4 and ADAM22. We examined this hypothesis by our cell-ELISA systems and discovered that LGI4 strongly interacts with ADAM22.

The next issue is the binding specificity of LGI1 and LGI4 to ADAM11, ADAM22 and ADAM23, because these ADAMs share similar sequences in the ectodomain. By the cell-ELISA assay, we demonstrated that LGI1 binds to ADAM23 strongly as well as ADAM22 and weakly binds to ADAM11, suggesting that ADAM23 is another receptor for LGI1. It is known that ADAM23 is expressed at high levels in the brain [6,21], is localized on the cell surface [22], and is essential for normal brain function because the ADAM23-deficient mice exhibited ataxia, tremor and short life spans [11]. The knockout phenotype of ADAM22 and ADAM23 seems to be similar but we did not observe tremor in our ADAM22-deficient mice. As we know the mRNA expression pattern of ADAM23 is different from that of ADAM22 [6,10], we speculate that ADAM23 works as an LGI1 receptor in the ADAM22-negative cells.

We also showed that LGI4 significantly binds to all of the three ADAMs. These results indicate that ADAM22 is not a sole receptor for LGI4. Despite the significant binding ability with LGI4 and similar expression patterns with ADAM22, we did not observe any myelination defects in ADAM11-deficient mice [8]. These results suggest that ADAM11 is dispensable for the proper myelination step. Since ADAM11 has a very short cytoplasmic domain comparing to ADAM22, ADAM11 may work as a supportive role or a negative regulator. Since there has been no report about the myelin status of the ADAM23-deficient mice, the importance of ADAM23 in the peripheral nerve myelination is yet to be determined.

In summary, our results indicate that LGI1 and LGI4 interact with ADAM22 and related ADAMs, ADAM11 and ADAM23. The interaction between LGIs and ADAMs is not a simple one to one relationship and is more complicated than we expected. To understand the physiological roles of LGI-ADAM system, examinations of the cell-type specific expression and cell-type specific transcript variants of each gene would be essential.


We would like to thank Professor Akinori Akaike (Kyoto University), Kappei Tsukahara, Takashi Seiki and Junro Kuromitsu (Eisai Co., Ltd.) for critical discussions and comments. We also thank Masami Date and Shizuka Ishikawa for their excellent technical assistance.


The authors have declared no conflict of interest exists.


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Author contact

Corresponding address Correspondence to: Koji Sagane, Tsukuba Research Laboratories, Eisai Co., Ltd., Tokodai 5-1-3, Tsukuba, Ibaraki 300-2635, Japan, Tel: +81-29-847-7119, Email:

Received 2008-5-1
Accepted 2008-10-20
Published 2008-10-21