Publications by authors named "Ting Hu Qiu"

Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer that is associated with a poor prognosis and for which no targeted therapies currently exist. In order to improve preclinical testing for TNBC that relies primarily on using human xenografts in immunodeficient mice, we have developed a novel immunocompetent syngeneic murine tumor transplant model for basal-like triple-negative breast cancer. The C3(1)/SV40-T/t-antigen (C3(1)/Tag) mouse mammary tumor model in the FVB/N background shares important similarities with human basal-like TNBC.

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Levels of 2-methoxyestradiol (2ME(2)), an endogenous metabolite of estradiol, are highly elevated during late stages of pregnancy when mammary glands have differentiated with the formation of alveolar structures producing milk proteins. Based upon our previous demonstration that 2ME(2) induces mammary ductal dilation associated with expression of mammary differentiation markers when administered to transgenic mice that spontaneously develop mammary cancer, we studied the effects of 2ME(2) on normal mammary gland development. The results of this study demonstrate that 2ME(2) can induce a partial differentiation of normal mammary glands in virgin mice, as evidenced by the appearance of limited numbers of alveolar cells and significantly increased expression of the differentiation markers beta-casein and whey acidic protein.

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The development of breast cancer is thought to occur through a multi-step process. The majority of breast cancers likely develop over extended periods of time arising from early, pre-invasive lesions such as atypical ductal hyperplasia (ADH) and carcinoma in situ (DCIS), progressing to invasive carcinoma and culminating in metastatic disease. However, the molecular mechanisms underlying this process are still poorly understood.

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FVB/N-Tg (MMTV-PyMT)(634Mul)-transgenic mice develop multifocal mammary tumors with a high incidence of pulmonary metastasis. We have demonstrated previously that mammary tumors derived from transgene-positive F1 progeny in particular inbred strains display altered latency, tumor growth rates, and metastatic rates when compared with the FVB/NJ homozygous parent. To identify genes with expression that might be critical in modifying the biological behavior of MMTV-PyMT tumors, we performed a detailed comparative analysis of expression profiles from mammary tumors arising in the parental FVB/NJ background and F1 progeny from crosses with I/LnJ, LP/J, MOLF/Ei, and NZB/B1NJ mice.

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Motivation: In microarray experiments investigators sometimes wish to pool RNA samples before labeling and hybridization due to insufficient RNA from each individual sample or to reduce the number of arrays for the purpose of saving cost. The basic assumption of pooling is that the expression of an mRNA molecule in the pool is close to the average expression from individual samples. Recently, a method for studying the effect of pooling mRNA on statistical power in detecting differentially expressed genes between classes has been proposed, but the different sources of variation arising in microarray experiments were not distinguished.

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Heparin-binding epidermal growth factor (HB-EGF) and betacellulin (BTC) are activating ligands for EGF receptor (EGFR/ErbB1) and ErbB4. To identify their physiological functions, we disrupted mouse HB-EGF and BTC alleles by homologous recombination. Most HB-EGF(-/-) mice died before weaning, and survivors had enlarged, dysfunctional hearts and reduced lifespans.

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Frk/rak belongs to a novel family of Src kinases with epithelial tissue-specific expression. Although developmental expression patterns and functional overexpression in vitro have associated these kinases with growth suppression and differentiation, their physiological functions remain largely unknown. We therefore generated mice carrying a null mutation in iyk, the mouse homolog of Frk/rak.

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The epistatically interacting modifier loci (Apmt1 and Apmt2) accelerate the polyoma Middle-T (PyVT)-induced mammary tumor. To identify potential candidate genes loci, a combined bioinformatics and genomics strategy was used. On the basis of the assumption that the loci were functioning in the same or intersecting pathways, a search of the literature databases was performed to identify molecular pathways containing genes from both candidate intervals.

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