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PubMed1999

Inhibitor peptide SNP-1 binds to a soluble form of BST-1/CD157 at a 2:2 stoichiometry.

Recently we have identified a 15-mer peptide, SNP-1, by a random phage library that can bind to bone marrow stromal cell antigen-1 (BST-1)/CD157 [Sato, A., Yamamoto, S., Ishihara, K., Hirano, T. & Jingami, H. (1999) Biochem. J. 337, 491-496]. SNP-1 inhibits BST-1 ADP-ribosyl cyclase activity uncompetitively with a Ki value of 180 +/- 40 nM. In this study we analysed biophysically the SNP-1 binding to a soluble form of BST-1 (sBST-1). Equilibrium binding data of wild-type SNP-1 from surface plasmon resonance studies gave a Kd value of 500 +/- 35 nM. Titration calorimetry analysis showed that the binding reaction is exothermic at 20 degrees C. The values of Kd = 211 nM, enthalpy change, DeltaH = -18.68 kcal.mol-1, and saturated molar ratio of bound SNP-1 per sBST-1, N = 0.8 mol.mol-1 were obtained. On the basis of the molecular masses of SNP-1 and sBST-1 calculated by analytical ultracentrifugation, the stoichiometry of the binding was determined to be 2 : 2. Electron microscopy also revealed the dimer form of sBST-1. To delineate the core residue of SNP-1 responsible for binding, each amino acid residue has been replaced by alanine. A region from amino acid residues 7-12 appeared to be critical for the SNP-1 binding to sBST-1. The substitution of the first residue, His, to Ala led to a reduction in binding, suggesting that the N-terminal residue is also crucial.

ADP-ribosyl Cyclase↗

PubMed2006

Genotyping pooled DNA using 100K SNP microarrays: a step towards genomewide association scans.

The identification of quantitative trait loci (QTLs) of small effect size that underlie complex traits poses a particular challenge for geneticists due to the large sample sizes and large numbers of genetic markers required for genomewide association scans. An efficient solution for screening purposes is to combine single nucleotide polymorphism (SNP) microarrays and DNA pooling (SNP-MaP), an approach that has been shown to be valid, reliable and accurate in deriving relative allele frequency estimates from pooled DNA for groups such as cases and controls for 10K SNP microarrays. However, in order to conduct a genomewide association study many more SNP markers are needed. To this end, we assessed the validity and reliability of the SNP-MaP method using Affymetrix GeneChip Mapping 100K Array set. Interpretable results emerged for 95% of the SNPs (nearly 110,000 SNPs). We found that SNP-MaP allele frequency estimates correlated 0.939 with allele frequencies for 97 605 SNPs that were genotyped individually in an independent population; the correlation was 0.971 for 26 SNPs that were genotyped individually for the 1028 individuals used to construct the DNA pools. We conclude that extending the SNP-MaP method to the Affymetrix GeneChip Mapping 100K Array set provides a useful screen of >100,000 SNP markers for QTL association scans.

DNA↗

PubMed2006

Roles of CaM kinase II and phospholamban in SNP-induced relaxation of murine gastric fundus smooth muscles.

The mechanisms by which nitric oxide (NO) relaxes smooth muscles are unclear. The NO donor sodium nitroprusside (SNP) has been reported to increase the Ca2+ release frequency (Ca2+ sparks) through ryanodine receptors (RyRs) and activate spontaneous transient outward currents (STOCs), resulting in smooth muscle relaxation. Our findings that caffeine relaxes and hyperpolarizes murine gastric fundus smooth muscles and increases phospholamban (PLB) phosphorylation by Ca2+/calmodulin (CaM)-dependent protein kinase II (CaM kinase II) suggest that PLB phosphorylation by CaM kinase II participates in smooth muscle relaxation by increasing sarcoplasmic reticulum (SR) Ca2+ uptake and the frequencies of SR Ca2+ release events and STOCs. Thus, in the present study, we investigated the roles of CaM kinase II and PLB in SNP-induced relaxation of murine gastric fundus smooth muscles. SNP hyperpolarized and relaxed gastric fundus circular smooth muscles and activated CaM kinase II. SNP-induced CaM kinase II activation was prevented by KN-93. Ryanodine, tetracaine, 2-aminoethoxydiphenylborate, and cyclopiazonic acid inhibited SNP-induced fundus smooth muscle relaxation and CaM kinase II activation. The Ca2+-activated K+ channel blockers iberiotoxin and apamin inhibited SNP-induced hyperpolarization and relaxation. The soluble guanylate cyclase inhibitor 1H-[1,2,4]oxadiazolo-[4,3-alpha]quinoxalin-1-one inhibited SNP-induced relaxation and CaM kinase II activation. The membrane-permeable cGMP analog 8-bromo-cGMP relaxed gastric fundus smooth muscles and activated CaM kinase II. SNP increased phosphorylation of PLB at Ser16 and Thr17. Thr17 phosphorylation of PLB was inhibited by cyclopiazonic acid and KN-93. Ser16 and Thr17 phosphorylation of PLB was sensitive to 1H-[1,2,4]oxadiazolo-[4,3-alpha]quinoxalin-1-one. These results demonstrate a novel pathway linking the NO-soluble guanylyl cyclase-cGMP pathway, SR Ca2+ release, PLB, and CaM kinase II to relaxation in gastric fundus smooth muscles.

Animals↗

PubMed2006

SNP-RFLPing: restriction enzyme mining for SNPs in genomes.

BACKGROUND: The restriction fragment length polymorphism (RFLP) is a common laboratory method for the genotyping of single nucleotide polymorphisms (SNPs). Here, we describe a web-based software, named SNP-RFLPing, which provides the restriction enzyme for RFLP assays on a batch of SNPs and genes from the human, rat, and mouse genomes. RESULTS: Three user-friendly inputs are included: 1) NCBI dbSNP "rs" or "ss" IDs; 2) NCBI Entrez gene ID and HUGO gene name; 3) any formats of SNP-in-sequence, are allowed to perform the SNP-RFLPing assay. These inputs are auto-programmed to SNP-containing sequences and their complementary sequences for the selection of restriction enzymes. All SNPs with available RFLP restriction enzymes of each input genes are provided even if many SNPs exist. The SNP-RFLPing analysis provides the SNP contig position, heterozygosity, function, protein residue, and amino acid position for cSNPs, as well as commercial and non-commercial restriction enzymes. CONCLUSION: This web-based software solves the input format problems in similar softwares and greatly simplifies the procedure for providing the RFLP enzyme. Mixed free forms of input data are friendly to users who perform the SNP-RFLPing assay. SNP-RFLPing offers a time-saving application for association studies in personalized medicine and is freely available at http://bio.kuas.edu.tw/snp-rflp/.

Animals↗

PubMed2006

A novel statistical method to estimate the effective SNP size in vertebrate genomes and categorized genomic regions.

BACKGROUND: The local environment of single nucleotide polymorphisms (SNPs) contains abundant genetic information for the study of mechanisms of mutation, genome evolution, and causes of diseases. Recent studies revealed that neighboring-nucleotide biases on SNPs were strong and the genome-wide bias patterns could be represented by a small subset of the total SNPs. It remains unsolved for the estimation of the effective SNP size, the number of SNPs that are sufficient to represent the bias patterns observed from the whole SNP data. RESULTS: To estimate the effective SNP size, we developed a novel statistical method, SNPKS, which considers both the statistical and biological significances. SNPKS consists of two major steps: to obtain an initial effective size by the Kolmogorov-Smirnov test (KS test) and to find an intermediate effective size by interval evaluation. The SNPKS algorithm was implemented in computer programs and applied to the real SNP data. The effective SNP size was estimated to be 38,200, 39,300, 38,000, and 38,700 in the human, chimpanzee, dog, and mouse genomes, respectively, and 39,100, 39,600, 39,200, and 42,200 in human intergenic, genic, intronic, and CpG island regions, respectively. CONCLUSION: SNPKS is the first statistical method to estimate the effective SNP size. It runs efficiently and greatly outperforms the algorithm implemented in SNPNB. The application of SNPKS to the real SNP data revealed the similar small effective SNP size (38,000 - 42,200) in the human, chimpanzee, dog, and mouse genomes as well as in human genomic regions. The findings suggest strong influence of genetic factors across vertebrate genomes.

Algorithms↗

PubMed2007

Predicting single nucleotide polymorphisms (SNP) from DNA sequence by support vector machine.

Recently, SNP has gained substantial attention as genetic markers and is recognized as a key element in the development of personalized medicine. Computational prediction of SNP can be used as a guide for SNP discovery to reduce the cost and time needed for the development of personalized medicine. We have developed a method for SNP prediction based on support vector machines (SVMs) using different features extracted from the SNP data. Prediction rates of 60.9% was achieved by sequence feature, 59.1% by free-energy feature, 58.1% by GC content feature, 58.0% by melting temperature feature, 56.2% by enthalpy feature, 55.1% by entropy feature and 54.3% by the gene, exon and intron feature. We introduced a new feature, the SNP distribution score that achieved a prediction rate of 77.3%. Thus, the proposed SNP prediction algorithm can be used to in SNP discovery.

Algorithms↗

PubMed2006

Intramolecular controls for the generation of clinical-quality SNP genotypes and the assessment of normal heterozygote imbalance.

We present an inventive method that generates intramolecular controls for SNP analysis, termed Mirror SNPs. Using the ovine diseases of callipyge and scrapie as examples, we describe the PCR-driven production of balanced heterozygote copies of the various SNPs implicated in these diseases. In the absence of a callipyge-positive control DNA, we generated a balanced heterozygote Mirror SNP that represents both the wild-type and mutant forms of the causal polymorphism. Simultaneous analysis of this artificial Mirror SNP and the Real (target) SNP was used to prove the absence of the mutant form of the nucleotide at the Real SNP position in tested samples. Scrapie susceptibility was assessed using a PCR-driven system which generated four separate Mirror SNPs, and these enabled the confirmation of an apparent departure from 'balanced' heterozygote appearance at Real SNPs tested. Mirror SNP technology is generic and will enable the accurate assessment of rare and medically important SNP variants, more accurate frequency determinations, and the potential assessment of SNPs in 'mixed template' samples common in forensic analyses.

Animals↗

PubMed2002

Data mining of public SNP databases for the selection of intragenic SNPs.

Different strategies to search public single nucleotide polymorphism (SNP) databases for intragenic SNPs were evaluated. First, we assembled a strategy to annotate SNPs onto candidate genes based on a BLAST search of public SNP databases (Intragenic SNP Annotation by BLAST, ISAB). Only BLAST hits that complied with stringent criteria according to 1) percentage identity (minimum 98%), 2) BLAST hit length (the hit covers at least 98% of the length of the SNP entry in the database, or the hit is longer than 250 base pairs), and 3) location in non-repetitive DNA, were considered as valid SNPs. We assessed the intragenic context and redundancy of these SNPs, and demonstrated that the SNP content of the dbSNP and HGBASE/HGVbase databases are highly complementary but also overlap significantly. Second, we assessed the validity of intragenic SNP annotation available on the dbSNP and HGVbase websites by comparison with the results of the ISAB strategy. Only a minority of all annotated SNPs was found in common between the respective public SNP database websites and the ISAB annotation strategy. A detailed analysis was performed aiming to explain this discrepancy. As a conclusion, we recommend the application of an independent strategy (such as ISAB) to annotate intragenic SNPs, complementary to the annotation provided at the dbSNP and HGVbase websites. Such an approach might be useful in the selection process of intragenic SNPs for genotyping in genetic studies. Hum Mutat 20:162-173, 2002.

DNA↗

PubMed2002

SNP genotyping using a simple and rapid single-tube modification of ARMS illustrated by analysis of 6 SNPs in a population of males with FRAXA repeat expansions.

Microsatellites have been used extensively in gene mapping, linkage and association studies but with the near completion of the human genome project (HGP) single nucleotide polymorphisms (SNP) have become the marker of choice. However, for association studies to be useful large numbers of SNPs must be analysed. To make these studies cost effective a simple and non-labour intensive method for SNP genotyping is essential. This work describes a single-tube modification of the amplification refractory mutation system (Biallelic-ARMS). Control amplimers flanking the SNP were amplified in a single-tube multiplex PCR with two SNP specific primers that prime in opposite directions. The SNP allele was identified on the basis of PCR product size after gel electrophoresis. Biallelic-ARMS was used to analyse six SNPs within 300 kb of the FRAXA repeat, two from the HGP SNP Database (ATL1 and FMRb) and four novel SNPs (WEX1, WEX10, WEX17 and WEX28). The study population consisted of 649 males with a range of FRAXA (10 to >200) repeat sizes. Each SNP correlated with distinct haplogroups, as identified by DXS548, FRAXAC1 and FRAXAC2 flanking microsatellite repeat patterns and confirmed the initial choice of haplogroups for FRAXA repeat stability defined by Enniset al.

Alleles↗

PubMed2004

The cerebellar GABAA alpha6 subunit is differentially modulated by chronic ethanol exposure in normal (R100R) and mutated (Q100Q) sNP rats.

Sardinian alcohol non-preferring (sNP) rats carry a point mutation (R100Q) in the cerebellar expressed GABAA receptor alpha6 subunit gene, leading to a higher sensitivity to ethanol and diazepam. The role of the alpha6 subunit gene cluster in the ethanol non-preferring phenotype was here investigated by measuring the levels of alpha1, alpha6 and gamma2 peptide in the cerebellum of normal (RR) and mutated (QQ) sNP rats after 2 weeks of chronic ethanol administration. Western blot analysis revealed that the alpha6 subunit is increased in RR sNP rats after chronic ethanol exposure (25.44%+/-8.69 versus control), while it remained unchanged in mutated QQ sNP rats. Interestingly, chronic ethanol administration decreased alpha1 peptide levels in the cerebellum of both rat lines to a similar extent (30.99%+/-6.74 and 27.12%+/-9.83 in RR and QQ rats, respectively), while gamma2 peptide levels remained unchanged. To further correlate the genetic and biochemical difference of the normal and mutated sNP rats with their aversive phenotype, we exposed sNP rats to a protocol of acquisition and maintenance of ethanol drinking. QQ sNP rats drank less ethanol than RR rats during the acquisition phase, but such difference was lost during the maintenance phase. These data may contribute to elucidating the mechanisms of alcohol avoidance in rat lines selected for this behavior when exposed to ethanol solution.

Alcoholism↗

PubMed2005

A statistical method to detect chromosomal regions with DNA copy number alterations using SNP-array-based CGH data.

Single nucleotide polymorphism (SNP) arrays were used to detect chromosomal regions with DNA copy number alterations. Current statistical methods for microarray-based comparative genomic hybridization (array-CGH) analysis generally assume certain relationships among adjacent markers on the same chromosome, and these assumptions may be questionable. For an SNP-array-based CGH study, multiple normal reference SNP arrays were collected. In order to utilize these normal reference SNP arrays, we derived an empirical distribution of signal ratios for each SNP marker. With an assumed threshold value for the overall error rate control and the defined signal ratio ranges for chromosomal amplification and deletion, we proposed a procedure to identify chromosomal alteration regions based on several bootstrapped one-sample t-tests and the false discovery rate control. When we have multiple arrays for different individuals with the same disease, our method can also be used to detect SNP markers for chromosomal alteration regions that are common among these individuals. We applied our method to a published SNP array data set for breast carcinoma cell lines. For an individual with breast cancer, numerous chromosomal alteration regions were identified. Compared to results of previous studies, our method identified more chromosomal alteration regions, with some being implicated in the literature to harbor genes associated with breast cancer. For multiple cancer arrays, our results suggested the existence of common chromosomal alteration regions. However, a high proportion of false positives also indicated that genetic variations among different individuals with breast cancer can be present.

Breast Neoplasms↗

PubMed2003

Association of the SNP-19 genotype 22 in the calpain-10 gene with elevated body mass index and hemoglobin A1c levels in Japanese.

BACKGROUND: An association of variations in the calpain-10 gene (CAPN10) with type 2 diabetes was originally reported in Mexican Americans. However, some studies in other racial groups were contradictory. METHODS: We studied the influence of genotypes and haplotype combinations (haplogenotypes) of CAPN10 on the metabolic traits in 286 Japanese subjects who visited a General Health Check-up Center. RESULTS: As for single nucleotide polymorphism (SNP)-19, subjects with genotype 22 had higher body mass index (BMI) and hemoglobin A(1c) (HbA(1c)) levels than those with genotypes 11 and 12 (p=0.003 and p=0.024, respectively). In SNP-63, subjects with genotype 11 had higher BMI and HbA(1c) levels than those with genotypes 12 and 22 (p=0.003 and p=0.045, respectively). Subjects who had genotype 22 at SNP-19 always had genotype 11 at SNP-63. Subjects with haplogenotype 121/121 had higher BMI levels (p=0.021) and tended to have higher HbA(1c) levels (p=0.08) than those with other haplogenotypes. All things considered, SNP-19 genotype 22, which was composed of haplogenotype 121/121 and 121/221, had highest significance level of association with elevated HbA(1c) levels. SNP-43 did not affect metabolic traits in our subjects. Subjects with haplogenotype 112/121 rather showed lower BMI and HbA(1c) levels (p=0.016 and p=0.008) than those with all other haplogenotypes. CONCLUSIONS: These results indicate the contribution of SNP-19 in CAPN10 to mild obesity and glucose intolerance in Japanese.

Blood Glucose↗

PubMed2005

Toward genome-wide SNP genotyping.

Genome-wide association studies with SNP markers are expected to allow identification of genes that underlie complex disorders. Hundreds of thousands of SNP markers will be required for comprehensive genome-wide association studies. The development of microarray-based methods for SNP genotyping on this scale remains a demanding task, despite many recent advances in technology for the production of high-density microarrays. A key technical obstacle is the PCR amplification step, which is required to reduce the complexity of and gain sufficient sensitivity for genotyping SNPs in large, diploid genomes. The multiplexing level that can be achieved in PCR does not match that of current microarray-based methods, making PCR the limiting step in the assays. Highly multiplexed microarray systems for SNP genotyping have recently been developed by combining well-known reaction principles for DNA amplification and SNP genotyping in clever ways. These new methods offer the potential of genome-wide SNP mapping of genes involved in complex diseases in the foreseeable future, provided that issues related to selection of the optimal SNP markers, sample throughput and the cost of the assays can be addressed.

DNA-Directed DNA Polymerase↗

PubMed2003

SNP subset selection for genetic association studies.

Association studies for disease susceptibility genes rely on the high density of SNPs within candidate genes. However, the linkage disequilibrium between SNPs imply that not all SNPs identified in the candidate region need be genotyped. Here we develop several approaches to SNP subset selection, which can substantially reduce the number of SNPs to be genotyped in an association study. We apply clustering algorithms to pairwise linkage disequilibrium measures, with SNP subsets determined for different cut-off values of Delta using nearest and furthest neighbour clusters. Alternatively, SNP subsets may be determined by the proportion of haplotypes they identify. We also show how power calculations, based on the average power to identify a SNP as the disease susceptibility mutation using haplotype-based or logistic regression based statistical analyses, can be used to choose SNP subsets. All these methods provide a ranking method for subsets of a specific size, but do not provide criteria for overall choice of SNP subset size. We develop such criteria by incorporating power calculations into a decision analysis, where the choice of SNP subset size depends on the genotyping costs and the perceived benefits of identifying association. These methods are illustrated using eleven SNPs in the MMP2 gene.

Cluster Analysis↗

PubMed2002

Genome complexity reduction for SNP genotyping analysis.

Efficient single nucleotide polymorphism (SNP) genotyping methods are necessary to accomplish many current gene discovery goals. A crucial element in large-scale SNP genotyping is the number of individual biochemical reactions that must be performed. An efficient method that can be used to simultaneously amplify a set of genetic loci across a genome with high reliability can provide a valuable tool for large-scale SNP genotyping studies. In this paper we describe and characterize a method that addresses this goal. We have developed a strategy for reducing genome complexity by using degenerate oligonucleotide primer (DOP)-PCR and applied this strategy to SNP genotyping in three complex eukaryotic genomes; human, mouse, and Arabidopsis thaliana. Using a single DOP-PCR primer, SNP loci spread throughout a genome can be amplified and accurately genotyped directly from a DOP-PCR product mixture. DOP-PCRs are extremely reproducible. The DOP-PCR method is transferable to many species of interest. Finally, we describe an in silico approach that can effectively predict the SNP loci amplified in a given DOP-PCR, permitting the design of an efficient set of reactions for large-scale, genome-wide SNP studies.

Animals↗

PubMed2003

Single nucleotide polymorphisms (SNPs) that map to gaps in the human SNP map.

An international effort is underway to generate a comprehensive haplotype map (HapMap) of the human genome represented by an estimated 300,000 to 1 million 'tag' single nucleotide polymorphisms (SNPs). Our analysis indicates that the current human SNP map is not sufficiently dense to support the HapMap project. For example, 24.6% of the genome currently lacks SNPs at the minimal density and spacing that would be required to construct even a conservative tag SNP map containing 300,000 SNPs. In an effort to improve the human SNP map, we identified 140,696 additional SNP candidates using a new bioinformatics pipeline. Over 51,000 of these SNPs mapped to the largest gaps in the human SNP map, leading to significant improvements in these regions. Our SNPs will be immediately useful for the HapMap project, and will allow for the inclusion of many additional genomic intervals in the final HapMap. Nevertheless, our results also indicate that additional SNP discovery projects will be required both to define the haplotype architecture of the human genome and to construct comprehensive tag SNP maps that will be useful for genetic linkage studies in humans.

Base Sequence↗

PubMed2004

The adiponectin gene SNP+45 is associated with coronary artery disease in Type 2 (non-insulin-dependent) diabetes mellitus.

BACKGROUND: The ACRP30/adiponectin gene on chromosome 3q27, a region linked to the metabolic syndrome, encodes for the abundant adipocyte-specific secreted protein. Consistent rodent and human studies suggested that this adipokine may be a molecular link between metabolic and cardiovascular diseases. AIMS: In order to investigate the role of single nucleotide polymorphisms (SNPs) within the APM1 gene in the susceptibility to coronary artery disease (CAD), we performed a case-control study on Caucasian Type 2 (non-insulin-dependent) diabetic patients, a population at high-risk for CAD. METHODS: Five APM1 SNPs were genotyped in 162 Type 2 diabetic French and Swiss subjects with CAD and in 315 Type 2 diabetic French and Swiss subjects without CAD. RESULTS: In univariate analysis, SNP+45 T>G was associated with CAD (OR 1.9 95% CI 1.2-2.9 P = 0.0036). In multivariate analysis, SNP+45 T>G remained associated with CAD (OR 1.2 95% CI 0.8-1.9 P = 0.017), independently of classical cardiovascular risk factors including components of the metabolic syndrome. SNP haplotype analyses revealed a CAD protective combination of all SNP wild-type alleles (OR 0.5 95% CI 0.3-0.7 P = 0.0006). CONCLUSIONS: Our study, performed in diabetic subjects, revealed an association between individual SNP+45 in the APM1 gene and CAD. Furthermore, the susceptibility for CAD due to SNP+45 was independent of classic cardiovascular risk factors. Further studies will be necessary to confirm the role of SNP+45 in the development of CAD. However, ACRP30/adiponectin may contribute to atherosclerosis susceptibility in high-risk populations such as Type 2 diabetic subjects.

Adiponectin↗

PubMed2006

CaM kinase II activation and phospholamban phosphorylation by SNP in murine gastric antrum smooth muscles.

Elevations in the intracellular Ca(2+) concentration activate the serine/threonine protein kinase Ca(2+)/calmodulin-dependent protein kinase II (CaM kinase II). We tested the hypothesis that increased sarco(endo)plasmic reticulum Ca(2+)-ATPase activity by phospholamban (PLB) phosphorylation contributes to smooth muscle relaxation by elevating the sarcoplasmic reticulum (SR) Ca(2+) load and increasing the frequency of Ca(2+) release events from the SR. We have previously shown that caffeine or sodium nitroprusside (SNP) relaxes murine gastric fundus smooth muscles and increases PLB phosphorylation by CaM kinase II. These findings suggest that an increased SR Ca(2+) load increases the frequency of Ca(2+) transients from the SR and results in PLB phosphorylation by CaM kinase II, contributing to caffeine- or SNP-induced relaxation. The aim of the present study was to investigate the effects of SNP on CaM kinase II and PLB phosphorylation in gastric antrum smooth muscles. SNP or 8-bromo-cGMP decreased the basal tone and amplitudes of spontaneous phasic contractions and activated CaM kinase II. SNP-induced relaxation and CaM kinase II activation were blocked by [1,2,4]oxadizolo-[4,3alpha]quinoxaline-1-one (ODQ) and inhibited by cyclopiazonic acid (CPA) or KN-93. SNP also increased PLBSer(16) and PLBThr(17) phosphorylation. Both PLBSer(16) and Thr(17) phosphorylation were ODQ sensitive. However, only PLBThr(17) phosphorylation was inhibited by CPA or KN-93. These results suggest that CaM kinase II activation and PLB phosphorylation participate in the relaxant effect of SNP on murine gastric antrum smooth muscles through a nitric oxide/guanylyl cyclase/cGMP pathway.

Animals↗