Biomedical subjects

Wee-Ming Boon

Publications and source records attributed to Wee-Ming Boon.

5 recordsLinked to original sources

PubMed2007

Prenatal corticosterone exposure results in altered AT1/AT2, nephron deficit and hypertension in the rat offspring.

Maternal treatment with the synthetic glucocorticoid, dexamethasone has been reported to result in a nephron deficit and development of hypertension in the offspring of rats. However, it is not known whether elevated maternal corticosterone (CORT), the natural glucocorticoid, has similar effects on blood pressure and nephron endowment. The present study investigated the effects of CORT (0.8 mg kg(-1) day(-1)) administration on embryonic day 14 (E14) and E15 of pregnancy on: (1) nephron number at postnatal day 30 (PN30); (2) blood pressure at PN120; and (3) receptors of the renal renin-angiotensin system (RRAS) (AT(1)Ra, AT(1)Rb and AT(2)Ra) during both embryonic (E16, E20) and adolescent (PN30) life. Plasma CORT concentrations were approximately doubled 30 min after injection. Unbiased stereological analysis revealed that maternal CORT treatment resulted in a nephron deficit of 21 and 19% in male and female offspring, respectively. Mean arterial pressures were significantly elevated in offspring of both sexes from the CORT group. Real-time PCR revealed that CORT treatment increased expression of AT(1)Ra and AT(2)R at E16, and at PN30. Expression of AT(1)Rb was downregulated in embryonic life but upregulated at PN30. We believe that these results are the first to demonstrate that maternal CORT treatment results in a nephron deficit and development of hypertension in the rat offspring. Changes in the RRAS may be contributing to these phenotypes. Critically, this study suggests that increased but physiological levels of the natural glucocorticoid can programme similar changes to those seen with pharmacological doses of the synthetic glucocorticoid. This may have important implications for women experiencing significant stress during pregnancy.

Animals↗

PubMed2006

Intrauterine growth restriction delays cardiomyocyte maturation and alters coronary artery function in the fetal sheep.

There is now extensive evidence suggesting that intrauterine perturbations are linked with an increased risk of developing cardiovascular disease. Human epidemiological studies, supported by animal models, have demonstrated an association between low birth weight, a marker of intrauterine growth restriction (IUGR), and adult cardiovascular disease. However, little is known of the early influence of IUGR on the fetal heart and vessels. The aim of this study was to determine the effects of late gestational IUGR on coronary artery function and cardiomyocyte maturation in the fetus. IUGR was induced by placental embolization in fetal sheep from 110 to 130 days of pregnancy (D110-130); term approximately D147; control fetuses received saline. At necropsy (D130), wire and pressure myography was used to test endothelial and smooth muscle function, and passive mechanical wall properties, respectively, in small branches of left descending coronary arteries. Myocardium was dissociated for histological analysis of cardiomyocytes. At D130, IUGR fetuses (2.7 +/- 0.1 kg) were 28% lighter than controls (3.7 +/- 0.3 kg; P = 0.02). Coronary arteries from IUGR fetuses had enhanced responsiveness to the vasoconstrictors, angiotensin II and the thromboxane analogue U46619, than controls (P < 0.01). Endothelium-dependent and -independent relaxations were not different between groups. Coronary arteries of IUGR fetuses were more compliant (P = 0.02) than those of controls. The incidence of cardiomyocyte binucleation was lower in the left ventricles of IUGR fetuses (P = 0.02), suggestive of retarded cardiomyocyte maturation. We conclude that late gestational IUGR alters the reactivity and mechanical wall properties of coronary arteries and cardiomyocyte maturation in fetal sheep, which could have lifelong implications for cardiovascular function.

15-Hydroxy-11 alpha,9 alpha-(epoxymethano)prosta-5↗

PubMed2004

A comparative analysis of transcribed genes in the mouse hypothalamus and neocortex reveals chromosomal clustering.

The hypothalamus and neocortex are subdivisions of the mammalian forebrain, and yet, they have vastly different evolutionary histories, cytoarchitecture, and biological functions. In an attempt to define these attributes in terms of their genetic activity, we have compared their genetic repertoires by using the Serial Analysis of Gene Expression database. From a comparison of 78,784 hypothalamus tags with 125,296 neocortical tags, we demonstrate that each structure possesses a different transcriptional profile in terms of gene ontological characteristics and expression levels. Despite its more recent evolutionary history, the neocortex has a more complex pattern of gene activity. Gene identities and levels of gene expression were mapped to their chromosomal positions by using in silico definition of GC-rich and GC-poor genome bands. This analysis shows contrasting views of gene activity on a genome scale that is unique to each brain substructure. We show that genes that are more highly expressed in one tissue tend to be clustered together on a chromosomal scale, further defining the genetic identity of either the hypothalamus or neocortex. We propose that physical proximity of coregulated genes may facilitate transcriptional access to the genetic substrates of evolutionary selection that ultimately shape the functional subdivisions of the mammalian brain.

Animals↗

PubMed2004

Statistical modeling of sequencing errors in SAGE libraries.

MOTIVATION: Sequencing errors may bias the gene expression measurements made by Serial Analysis of Gene Expression (SAGE). They may introduce non-existent tags at low abundance and decrease the real abundance of other tags. These effects are increased in the longer tags generated in LongSAGE libraries. Current sequencing technology generates quite accurate estimates of sequencing error rates. Here we make use of the sequence neighborhood of SAGE tags and error estimates from the base-calling software to correct for such errors. RESULTS: We introduce a statistical model for the propagation of sequencing errors in SAGE and suggest an Expectation-Maximization (EM) algorithm to correct for them given observed sequences in a library and base-calling error estimates. We tested our method using simulated and experimental SAGE libraries. When comparing SAGE libraries, we found that sequencing errors can introduce considerable bias. High abundance tags may be falsely called as significantly differentially expressed, especially when comparing libraries with different levels of sequencing errors and/or of different size. Truly, differentially expressed tags have decreased significance as 'true'-tag counts are generally underestimated. This may alter if tags near the threshold of differential expression are called significant. Moreover, the number of different transcripts present in a library is overestimated as false tags are introduced at low abundance. Our correction method adjusts the tag counts to be closer to the true counts and is able to partly correct for biases introduced by sequencing errors. AVAILABILITY: An implementation using R is distributed as an R package. An online version is available at http://tagcalling.mbgproject.org

Algorithms↗

PubMed2003

MicroSAGE is highly representative and reproducible but reveals major differences in gene expression among samples obtained from similar tissues.

BACKGROUND: Serial analysis of gene expression using small amounts of starting material (microSAGE) has not yet been conclusively shown to be representative, reproducible or accurate. RESULTS: We show that microSAGE is highly representative, reproducible and accurate, but that pronounced differences in gene expression are seen between tissue samples taken from different individuals. CONCLUSIONS: MicroSAGE is a reliable method of comprehensively profiling differences in gene expression among samples, but care should be taken in generalizing results obtained from libraries constructed from tissue obtained from different individuals and/or processed or stored differently.

3T3 Cells↗