Thromboxane A2 receptors

Halushka, Perry V.; Allan, Claire J.; Davis-Bruno, Karen

doi:10.1016/0929-7855(95)00023-j

Cited by 55 publications

(45 citation statements)

References 76 publications

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“…However, 8-epi PGF2a has been shown to be more potent at constricting renal arteries that U46619, suggesting that isoprostanes may act at a receptor related to, but distinct from, the TP-receptor (Morrow & Roberts, 1996). At present only one thromboxane receptor gene has been cloned (Hirata et 1991), but receptor subtypes have been suggested by the use of pharmacological techniques (Halushka et al, 1995 (Fukunaga et al, 1993). Therefore, the precise mechanism of isoprostane action remains unclear.…”

Section: Discussionmentioning

confidence: 99%

Coronary artery constriction by the isoprostane 8‐epi prostaglandin F_2α

Kromer

Tippins

1996

British J Pharmacology

132

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1 This study was undertaken to compare the effects of 8-epi prostaglandin F2l ) to those of prostaglandin F2a (PGF2a) 4 PGF2a constricted porcine and bovine coronary arteries in a concentration-dependent manner with EC50 values of 1631.0+207.6 and 3644.0+344.8 nM, respectively, but had no effect on ovine coronary arteries. Concentration-dependent constriction to U46619 in porcine coronary arteries was competitively inhibited by SQ29548 (10-8 M to l0-7 M) and BM13505 (10-8 M to 10-6 M) with no decrease in maximal responses. 6 Concentration-dependent constriction to 8-epi PGF2a in porcine coronary arteries was inhibited in a concentration-dependent manner by SQ29548 (10-8 M to 10-7 M) and BM13505 (10-8 M to 10-6 M).However, the inhibition was associated with a decrease in maximal response.7 Maximal responses of porcine coronary artery to U46619 (1 gM) and 8-epi PGF2a (30 jgM) were inhibited in a concentration-dependent manner by SQ29548 with IC50 values 99+12.36 nM and 46.5 + 18.67 nm, respectively. 8 Although ovine coronary arteries did not constrict to 8-epi PGF2a, pre-incubation of these vessels with 8-epi PGF2a caused a rightward shift of the U46619 response curve in a concentration-dependent manner.9 Pre-incubation of porcine coronary arteries with 8-epi PGF2a competitively inhibited responses to U46619 with a Schild slope of 0.99 and a pA2 of 6.13. 10 We conclude that 8-epi PGF2a is a vasoconstrictor within porcine and bovine coronary arteries, with a potency approximately twice that of PGF2a but 5-20 times lower than U46619. The data suggest that 8-epi PGF2a is acting as a partial agonist on the TP-receptor in the coronary vasculature.

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Section: Discussionmentioning

confidence: 99%

Coronary artery constriction by the isoprostane 8‐epi prostaglandin F_2α

Kromer

Tippins

1996

British J Pharmacology

132

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“…Of the 24 genes for which such assumptions could be made, 11 genes had one or more classifications that matched this assumption (Table 10). These genes include LOC55977, which shows some homology to the thromboxane A-2 receptor known to be involved in the LOC55977-classified processes blood coagulation (Halushka et al 1995) and in developmental processes (development of the retina; Hardy et al 2000). FLJ10217, homologous to oxysterolbinding protein, was classified with cell death and blood coagulation, which are biological processes in which oxysterolbinding protein is known to participate (Schroepfer Jr. 2000).…”

Section: Use Of the Model To Predict Biological Roles Of Unknown Genesmentioning

confidence: 99%

Predicting Gene Ontology Biological Process From Temporal Gene Expression Patterns

Lægreid¹,

Hvidsten²,

Midelfart³

et al. 2003

Genome Res.

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The aim of the present study was to generate hypotheses on the involvement of uncharacterized genes in biological processes. To this end, supervised learning was used to analyze microarray-derived time-series gene expression data. Our method was objectively evaluated on known genes using cross-validation and provided high-precision Gene Ontology biological process classifications for 211 of the 213 uncharacterized genes in the data set used. In addition, new roles in biological process were hypothesized for known genes. Our method uses biological knowledge expressed by Gene Ontology and generates a rule model associating this knowledge with minimal characteristic features of temporal gene expression profiles. This model allows learning and classification of multiple biological process roles for each gene and can predict participation of genes in a biological process even though the genes of this class exhibit a wide variety of gene expression profiles including inverse coregulation. A considerable number of the hypothesized new roles for known genes were confirmed by literature search. In addition, many biological process roles hypothesized for uncharacterized genes were found to agree with assumptions based on homology information. To our knowledge, a gene classifier of similar scope and functionality has not been reported earlier.

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“…TP receptors are found in a variety of cell types, tissues and species (41). TP receptors are widely distributed in vascular smooth muscle, irrespective of their arterial or venous origin, are found on platelets, and mediate excitatory activity (i.e., vasoconstriction, platelet shape change and aggregation) (21,75,77).…”

Section: Distribution and Localizationmentioning

confidence: 99%