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Bonnie Wu

Publications and source records attributed to Bonnie Wu.

4 recordsLinked to original sources

Mapping Shroom3 expression across the adult mouse.

Shroom3 is an actin binding protein integral to apical constriction and apical-basal elongation during mammalian morphogenesis. Shroom3 function has been demonstrated in the development of the heart, neural tube, gut tube, eye, thyroid bud, and kidneys, with mutations linked to human congenital defects including anencephaly, spina bifida, cleft lip and palate, and ventricular septal defects. Genome-wide association studies implicate Shroom3 in human conditions such as chronic kidney disease and heterotaxy. While this suggests that Shroom3 expression continues postnatally, the extent of adult expression patterns remain unexplored. To address this, we first harvested organs from adult mice heterozygous for a LacZ reporter inserted into the Shroom3 allele (Shroom3+/Gt). Organs were stained in wholemount with X-gal and cleared in glycerol to identify which tissues expressed Shroom3 and to localize the expression within the tissue. Wildtype organs were then harvested and fluorescently stained to localize Shroom3 protein in tissue sub-structures. From this, we have characterized previously unknown Shroom3 expression in many adult organs including the bladder and reproductive systems, as well as established postnatal Shroom3 expression in organs thought to only have developmental expression including the eye and whisker pad. Our results also demonstrate organs which did not show Shroom3 expression, including the liver and pancreas. This data suggests that Shroom3 has roles in a wider number of tissues than previously thought and provides a foundation for future hypotheses regarding the biological and pathological significance of Shroom3.

Animals↗

Human embryonic stem cells have a unique epigenetic signature.

Human embryonic stem (hES) cells originate during an embryonic period of active epigenetic remodeling. DNA methylation patterns are likely to be critical for their self-renewal and pluripotence. We compared the DNA methylation status of 1536 CpG sites (from 371 genes) in 14 independently isolated hES cell lines with five other cell types: 24 cancer cell lines, four adult stem cell populations, four lymphoblastoid cell lines, five normal human tissues, and an embryonal carcinoma cell line. We found that the DNA methylation profile clearly distinguished the hES cells from all of the other cell types. A subset of 49 CpG sites from 40 genes contributed most to the differences among cell types. Another set of 25 sites from 23 genes distinguished hES cells from normal differentiated cells and can be used as biomarkers to monitor differentiation. Our results indicate that hES cells have a unique epigenetic signature that may contribute to their developmental potential.

Cell Differentiation↗

High-throughput DNA methylation profiling using universal bead arrays.

We have developed a high-throughput method for analyzing the methylation status of hundreds of preselected genes simultaneously and have applied it to the discovery of methylation signatures that distinguish normal from cancer tissue samples. Through an adaptation of the GoldenGate genotyping assay implemented on a BeadArray platform, the methylation state of 1536 specific CpG sites in 371 genes (one to nine CpG sites per gene) was measured in a single reaction by multiplexed genotyping of 200 ng of bisulfite-treated genomic DNA. The assay was used to obtain a quantitative measure of the methylation level at each CpG site. After validating the assay in cell lines and normal tissues, we analyzed a panel of lung cancer biopsy samples (N = 22) and identified a panel of methylation markers that distinguished lung adenocarcinomas from normal lung tissues with high specificity. These markers were validated in a second sample set (N = 24). These results demonstrate the effectiveness of the method for reliably profiling many CpG sites in parallel for the discovery of informative methylation markers. The technology should prove useful for DNA methylation analyses in large populations, with potential application to the classification and diagnosis of a broad range of cancers and other diseases.

Base Sequence↗