Dataset Information

Structure-function analyses of single nucleotide polymorphisms in human N-acetyltransferase 1.

ABSTRACT: Human N-acetyltransferase 1 (NAT1) alleles are characterized by one or more single nucleotide polymorphisms (SNPs) associated with rapid and slow acetylation phenotypes. NAT1 both activates and deactivates arylamine drugs and carcinogens, and NAT1 polymorphisms are associated with increased frequencies of many cancers and birth defects. The recently resolved human NAT1 crystal structure was used to evaluate SNPs resulting in the protein substitutions R64W, V149I, R187Q, M205V, S214A, D251V, E261K, and I263V. The analysis enhances knowledge of NAT1 structure-function relationships, important for understanding associations of NAT1 SNPs with genetic predisposition to cancer, birth defects, and other diseases.

SUBMITTER: Walraven JM

PROVIDER: S-EPMC2265210 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature

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Structure-function analyses of single nucleotide polymorphisms in human N-acetyltransferase 1.

Walraven Jason M JM Trent John O JO Hein David W DW

Drug metabolism reviews 20080101 1

Human N-acetyltransferase 1 (NAT1) alleles are characterized by one or more single nucleotide polymorphisms (SNPs) associated with rapid and slow acetylation phenotypes. NAT1 both activates and deactivates arylamine drugs and carcinogens, and NAT1 polymorphisms are associated with increased frequencies of many cancers and birth defects. The recently resolved human NAT1 crystal structure was used to evaluate SNPs resulting in the protein substitutions R64W, V149I, R187Q, M205V, S214A, D251V, E261 ...[more]

PMID: 18259988

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Project description:BACKGROUND: Arylamine N-acetyltransferase 2 (NAT2) is an important catalytic enzyme that metabolizes the carcinogenic arylamines, hydrazine drugs and chemicals. This enzyme is highly polymorphic in different human populations. Several polymorphisms of NAT2, including the single amino acid substitutions R64Q, I114T, D122N, L137F, Q145P, R197Q, and G286E, are classified as slow acetylators, whereas the wild-type NAT2 is classified as a fast acetylator. The slow acetylators are often associated with drug toxicity and efficacy as well as cancer susceptibility. The biological functions of these 7 mutations have previously been characterized, but the structural basis behind the reduced catalytic activity and reduced protein level is not clear. METHODOLOGY/PRINCIPAL FINDINGS: We performed multiple molecular dynamics simulations of these mutants as well as NAT2 to investigate the structural and dynamical effects throughout the protein structure, specifically the catalytic triad, cofactor binding site, and the substrate binding pocket. None of these mutations induced unfolding; instead, their effects were confined to the inter-domain, domain 3 and 17-residue insert region, where the flexibility was significantly reduced relative to the wild-type. Structural effects of these mutations propagate through space and cause a change in catalytic triad conformation, cofactor binding site, substrate binding pocket size/shape and electrostatic potential. CONCLUSIONS/SIGNIFICANCE: Our results showed that the dynamical properties of all the mutant structures, especially in inter-domain, domain 3 and 17-residue insert region were affected in the same manner. Similarly, the electrostatic potential of all the mutants were altered and also the functionally important regions such as catalytic triad, cofactor binding site, and substrate binding pocket adopted different orientation and/or conformation relative to the wild-type that may affect the functions of the mutants. Overall, our study may provide the structural basis for reduced catalytic activity and protein level, as was experimentally observed for these polymorphisms.

Project description:BACKGROUND:Although our microbial community and genomes (the human microbiome) outnumber our genome by several orders of magnitude, to what extent the human host genetic complement informs the microbiota composition is not clear. The Human Microbiome Project (HMP) Consortium established a unique population-scale framework with which to characterize the relationship of microbial community structure with their human hosts. A wide variety of taxa and metabolic pathways have been shown to be differentially distributed by virtue of race/ethnicity in the HMP. Given that mtDNA haplogroups are the maternally derived ancestral genomic markers and mitochondria's role as the generator for cellular ATP, characterizing the relationship between human mtDNA genomic variants and microbiome profiles becomes of potential marked biologic and clinical interest. RESULTS:We leveraged sequencing data from the HMP to investigate the association between microbiome community structures with its own host mtDNA variants. 15 haplogroups and 631 mtDNA nucleotide polymorphisms (mean sequencing depth of 280X on the mitochondria genome) from 89 individuals participating in the HMP were accurately identified. 16S rRNA (V3-V5 region) sequencing generated microbiome taxonomy profiles and whole genome shotgun sequencing generated metabolic profiles from various body sites were treated as traits to conduct association analysis between haplogroups and host clinical metadata through linear regression. The mtSNPs of individuals with European haplogroups were associated with microbiome profiles using PLINK quantitative trait associations with permutation and adjusted for multiple comparisons. We observe that among 139 stool and 59 vaginal posterior fornix samples, several haplogroups show significant association with specific microbiota (q-value < 0.05) as well as their aggregate community structure (Chi-square with Monte Carlo, p < 0.005), which confirmed and expanded previous research on the association of race and ethnicity with microbiome profile. Our results further indicate that mtDNA variations may render different microbiome profiles, possibly through an inflammatory response to different levels of reactive oxygen species activity. CONCLUSIONS:These data provide initial evidence for the association between host ancestral genome with the structure of its microbiome.

Dataset Information

Structure-function analyses of single nucleotide polymorphisms in human N-acetyltransferase 1.

Publications

Structure-function analyses of single nucleotide polymorphisms in human N-acetyltransferase 1.

Similar Datasets

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