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Biomedical subjects

Sean D Mooney

Publications and source records attributed to Sean D Mooney.

8 recordsLinked to original sources

A novel recessive mutation in fibroblast growth factor-23 causes familial tumoral calcinosis.

Gain-of-function mutations in fibroblast growth factor-23 (FGF23) are responsible for autosomal dominant hypophosphatemic rickets, a disorder of isolated renal phosphate wasting. Patients with the disorder display hypophosphatemia with normocalcemia as well as inappropriately normal 1,25-dihydroxyvitamin D [1,25(OH)2D3] concentrations. Reciprocally tumoral calcinosis (TC) patients are often hyperphosphatemic with inappropriately normal or elevated serum 1,25(OH)2D3 levels and have ectopic and vascular calcifications, a phenotype similar to that of Fgf23 null mice. Therefore, the goal of the present studies was to test whether FGF23 was a candidate gene for TC. Two sisters in a consanguineous TC family had hyperphosphatemia and normal 1,25(OH)2D3 levels with characteristic ectopic and vascular calcifications. Interestingly, these patients had low-normal intact serum FGF23 levels but demonstrated FGF23 concentrations approximately 40 times normal when assessed with a C-terminal FGF23 serum assay. Mutational analyses identified a homozygous S71G mutation in FGF23 in the TC patients, which was not found in control alleles. Finally, modeling demonstrated that the S71G mutation most likely destabilizes full-length FGF23. In summary, recessive FGF23 mutations can lead to TC. Additionally, our findings indicate that FGF23 may adopt an unstable conformation in some TC patients, possibly leading to nonfunctional FGF23 protein.

Adult↗

Introduction to informatics approaches in structural genomics: modeling and representation of function from macromolecular structure.

Despite the advantages provided by the enormous recent increases in the availability of structural information, functional assignment for the large number of proteins represented in the sequence and structural genomics projects remains a pressing problem for genomic era biology. This section describes work relevant to this problem from several perspectives, including new approaches that take advantage of combined structure and sequence-based classification. Leveraging of genomic context and evolutionary information to improve classification and predictive power is a second prominent theme in the papers represented here. Finally, issues in building a database for linking sequence, structural, and functional information are explored.

Genomics↗

MutDB: annotating human variation with functionally relevant data.

SUMMARY: We have developed a resource, MutDB (http://mutdb.org/), to aid in determining which single nucleotide polymorphisms (SNPs) are likely to alter the function of their associated protein product. MutDB contains protein structure annotations and comparative genomic annotations for 8000 disease-associated mutations and SNPs found in the UCSC Annotated Genome and the human RefSeq gene set. MutDB provides interactive mutation maps at the gene and protein levels, and allows for ranking of their predicted functional consequences based on conservation in multiple sequence alignments. AVAILABILITY: http://mutdb.org/ SUPPLEMENTARY INFORMATION: http://mutdb.org/about/about.html

Database Management Systems↗

Nitric-oxide synthase (NOS) reductase domain models suggest a new control element in endothelial NOS that attenuates calmodulin-dependent activity.

Inducible (iNOS) and constitutive (eNOS, nNOS) nitric-oxide synthases differ in their Ca2+-calmodulin (CaM) dependence. iNOS binds CaM irreversibly but eNOS and nNOS, which bind CaM reversibly, have inserts in their reductase domains that regulate electron transfer. These include the 43-45-amino acid autoinhibitory element (AI) that attenuates electron transfer in the absence of CaM, and the C-terminal 20-40-amino acid tail that attenuates electron transfer in a CaM-independent manner. We constructed models of the reductase domains of the three NOS isoforms to predict the structural basis for CaM-dependent regulation. We have identified and characterized a loop (CD2A) within the NOS connecting domain that is highly conserved by isoform and that, like the AI element, is within direct interaction distance of the CaM binding region. The eNOS CD2A loop (eCD2A) has the sequence 834KGSPGGPPPG843, and is truncated to 809ESGSY813 (iCD2A) in iNOS. The eCD2A contributes to the Ca2+ dependence of CaM-bound activity to a level similar to that of the AI element. The eCD2A plays an autoinhibitory role in the control of NO, and CaM-dependent and -independent reductase activity, but this autoinhibitory function is masked by the dominant AI element. Finally, the iCD2A is involved in determining the salt dependence of NO activity at a post-flavin reduction level. Electrostatic interactions between the CD2A loop and the CaM-binding region, and CaM itself, provide a structural means for the CD2A to mediate CaM regulation of intra-subunit electron transfer within the active NOS complex.

Amino Acid Sequence↗

A functional analysis of disease-associated mutations in the androgen receptor gene.

Mutations in the androgen receptor (AR) are associated with a variety of diseases including androgen insensitivity syndrome and prostate cancer, but the way in which these mutations cause disease is poorly understood. We present a method for distinguishing likely disease-causing mutations from mutations that are merely associated with disease but have no causal role. Our method uses a measure of nucleotide conservation, and we find that conservation often correlates with severity of the clinical phenotype. Further, by only including mutations whose pathogenicity has been proven experimentally, this correlation is enhanced in the case of prostate cancer-associated mutations. Our method provides a means for assessing the significance of single nucleotide polymorphisms (SNPs) and cancer-associated mutations.

Algorithms↗

The functional importance of disease-associated mutation.

BACKGROUND: For many years, scientists believed that point mutations in genes are the genetic switches for somatic and inherited diseases such as cystic fibrosis, phenylketonuria and cancer. Some of these mutations likely alter a protein's function in a manner that is deleterious, and they should occur in functionally important regions of the protein products of genes. Here we show that disease-associated mutations occur in regions of genes that are conserved, and can identify likely disease-causing mutations. RESULTS: To show this, we have determined conservation patterns for 6185 non-synonymous and heritable disease-associated mutations in 231 genes. We define a parameter, the conservation ratio, as the ratio of average negative entropy of analyzable positions with reported mutations to that of every analyzable position in the gene sequence. We found that 84.0% of the 231 genes have conservation ratios less than one. 139 genes had eleven or more analyzable mutations and 88.0% of those had conservation ratios less than one. CONCLUSIONS: These results indicate that phylogenetic information is a powerful tool for the study of disease-associated mutations. Our alignments and analysis has been made available as part of the database at http://cancer.stanford.edu/mut-paper/. Within this dataset, each position is annotated with the analysis, so the most likely disease-causing mutations can be identified.

Computational Biology↗

Conformational preferences of substituted prolines in the collagen triple helix.

Researchers have recently questioned the role hydroxylated prolines play in stabilizing the collagen triple helix. To address these issues, we have developed new molecular mechanics parameters for the simulation of peptides containing 4(R)-fluoroproline (Flp), 4(R)-hydroxyproline (Hyp), and 4(R)-aminoproline (Amp). Simulations of peptides based on these parameters can be used to determine the components that stabilize hydroxyproline over proline in the triple helix. The dihedrals F-C-C-N, O-C-C-N, and N-C-C-N were built using a N-beta-ethyl amide model. One nanosecond simulations were performed on the trimers [(Pro-Pro-Gly)(10)](3), [(Pro-Hyp-Gly)(10)](3), [(Pro-Amp-Gly)(10)](3), [(Pro-Amp(1+)-Gly)(10)](3), and [(Pro-Flp-Gly)(10)](3) in explicit solvent. The results of our simulations suggest that pyrrolidine ring conformation is mediated by the strength of the gauche effect and classical electrostatic interactions.

Chemical Phenomena↗

Structural models of osteogenesis imperfecta-associated variants in the COL1A1 gene.

Osteogenesis imperfecta (OI) is a genetic disease in which the most common mutations result in substitutions for glycine residues in the triple helical domain of the chains of type I collagen. Currently there is no way to use sequence information to predict the clinical OI phenotype. However, structural models coupled with biophysical and machine learning methods may be able to predict sequences that, when mutated, would be associated with more severe forms of OI. To build appropriate structural models, we have applied a high throughput molecular dynamic approach. Homotrimeric peptides covering 57 positions in which mutations are associated with OI were simulated both with and without mutations. Our models revealed structural differences that occur with different substituting amino acids. When mutations were introduced, we observed a decrease in helix stability, as caused by fewer main chain backbone hydrogen bonds, and an increase in main chain root mean square deviation and specifically bound water molecules.

Collagen Type I↗