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Sun-Wei Guo

Publications and source records attributed to Sun-Wei Guo.

24 records · Page 2Linked to original sources

Resolution of clonal origins for endometriotic lesions using laser capture microdissection and the human androgen receptor (HUMARA) assay.

OBJECTIVE: To determine the clonal origins of endometriotic lesions using laser capture microdissection and PCR-based HUMARA assay. DESIGN: Molecular genetic study of human tissue. SETTING: Molecular genetics laboratory in an academic setting. PATIENT(S): Twenty patients with endometriosis. Forty specimens of endometriotic lesions from these patients and one specimen of normal endometrium were analyzed. INTERVENTION(S): Laser capture microdissection was used to harvest epithelial cells from single and multifocal endometrial lesions from paraffin-embedded and frozen tissues, and their clonality was determined with the HUMARA assay. MAIN OUTCOME MEASURE(S): Polymerase chain reaction-based HUMARA assay of clonality. RESULT(S): Thirty-eight specimens were polymorphic and thus informative. Most specimens were monoclonal, as determined by the HUMARA assay. In four specimens of multifocal lesions, polyclonality was detected, but upon more refined microdissections and further analyses, we found that each focus was monoclonal individually. CONCLUSION(S): Previously reported polyclonality is very likely to be attributed to the pooling of multifocal lesions or contamination of normal tissues. These results suggest that endometriotic lesions were monoclonal in origin, and in the case of multifocal lesions, each focus originates monoclonally; hence, different foci have independent origins. The monoclonality of endometriotic lesions suggests that they may carry neoplastic potentials, and the apparent independent origins of multifocal lesions suggest that reconstruction of individual lesion histories may help us to understand the initiation and progression of endometriosis.

Adult↗

Preferential transmission of type 1 diabetes from parents to offspring: fact or artifact?

It has been widely reported that men with type 1 diabetes (T1D) tend to be more likely to transmit the disease to their offspring than their female counterparts in Caucasoid populations. Several theories to explain this preferential transmission have been proposed, but so far none of them has been unequivocally proven. Whatever the mechanism, confirmation or refutation of this observation is nonetheless important and practical to the design of future genetic studies of T1D. We carried out some statistical modeling of the preferential transmission. The well-established fact that males have higher a prevalence of T1D than females, an apparent sex difference in fecundity, and a possible misclassification of gestational diabetes mellitus (GDM) as T1D in women have been considered. We demonstrated, first, that the ascertainment of study families through the affected offspring with T1D would generate a higher proportion of fathers than mothers having T1D, even though there was no preferential transmission at all. This can be explained by the male preponderance in T1D prevalence as compared with females, coupled with a greater likelihood of being selected and/or recruited for study in families with T1D fathers due to the fecundity difference. Second, when the study population is ascertained through affected parents, misclassification of mothers with GDM as T1D, and the existence of male/female difference in fecundity in conjunction with a birth order effect, can contribute to the observed preferential transmission, even though there was none. In light of the plausibility of assumptions employed in the analysis and, in particular, an apparent failure to critically examine the effects of these causes of bias in earlier studies, it is perhaps prudent to say that the jury for the existence of preferential transmission in T1D is still out.

Diabetes Mellitus, Type 1↗

Combined segregation and linkage analysis of HLA markers in familial psoriasis.

Marker-based segregation analysis (MBSA) is a modification of a published method of combined linkage and segregation analysis (Am J Hum Genet 51: 1111-1126, 1992), to determine whether a candidate gene known to be associated with the disease of interest is truly segregating with the disease in families. Here we outline the conceptual basis of MBSA and present a Monte Carlo method for significance testing. The method is applied to PSORS1, a locus within the major histocompatibility complex (MHC) for which linkage and linkage disequilibrium with psoriasis has already been demonstrated. The results are very consistent with our current knowledge of PSORS1, and suggest that MBSA can provide useful information on genotype-phenotype relationships such as penetrance and allelic heterogeneity.

Chromosome Mapping↗

Conditions to ensure competitive hybridization in two-color microarray: a theoretical and experimental analysis.

We derived a theoretical model that explains certain biases observed in the two-color microarray hybridization experiments reported in the literature. We show that true competition is achieved only when the hybridization kinetics of the two differentially labeled probes are the same. If the hybridization kinetics of the two differentially labeled probes is different, which can occur when the labeling and hybridization conditions for the two probes are dissimilar, then differential expression observed becomes a function of the amount of the target (i.e., DNA spotted on the slide). We use this model to validate the microarray methodology by determining the differential expression of four select Arabidopsis genes and two human genes (beta-actin and GAPDH) as a function of the amount of target arrayed. We show through both modeling and experiments that the rate constants for Cy5- and Cy3-labeled probes are the same under our exrimental conditions. Therefore, the target concentrations need not greatly exceed the probe concentration. It is obvious from the data presented that a simple treatment of an individual hybridization rate calculation does notfully describe what is occuring in today's complex, multispecies experiments. The method of validation is easily implemented to ensure data reliability by two-color microarray.

Arabidopsis↗