556 results on '"H. M. Huang"'
Search Results
552. A modulator based regulatory network for ERα signaling pathway
- Author
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Pengyue Zheng, Guanglong Jiang, Heng-Yi Wu, Tim H M Huang, Lang Li, Yunlong Liu, and Kenneth P. Nephew
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Chromatin Immunoprecipitation ,Gene regulatory network ,Computational biology ,Biology ,03 medical and health sciences ,0302 clinical medicine ,Cell Line, Tumor ,Transcriptional regulation ,Genetics ,Humans ,Gene Regulatory Networks ,Transcription factor ,030304 developmental biology ,0303 health sciences ,Research ,Gene Expression Profiling ,Estrogen Receptor alpha ,3. Good health ,Gene expression profiling ,030220 oncology & carcinogenesis ,MCF-7 Cells ,DNA microarray ,Chromatin immunoprecipitation ,Estrogen receptor alpha ,Function (biology) ,Signal Transduction ,Transcription Factors ,Biotechnology - Abstract
Background Estrogens control multiple functions of hormone-responsive breast cancer cells. They regulate diverse physiological processes in various tissues through genomic and non-genomic mechanisms that result in activation or repression of gene expression. Transcription regulation upon estrogen stimulation is a critical biological process underlying the onset and progress of the majority of breast cancer. ERα requires distinct co-regulator or modulators for efficient transcriptional regulation, and they form a regulatory network. Knowing this regulatory network will enable systematic study of the effect of ERα on breast cancer. Methods To investigate the regulatory network of ERα and discover novel modulators of ERα functions, we proposed an analytical method based on a linear regression model to identify translational modulators and their network relationships. In the network analysis, a group of specific modulator and target genes were selected according to the functionality of modulator and the ERα binding. Network formed from targets genes with ERα binding was called ERα genomic regulatory network; while network formed from targets genes without ERα binding was called ERα non-genomic regulatory network. Considering the active or repressive function of ERα, active or repressive function of a modulator, and agonist or antagonist effect of a modulator on ERα, the ERα/modulator/target relationships were categorized into 27 classes. Results Using the gene expression data and ERα Chip-seq data from the MCF-7 cell line, the ERα genomic/non-genomic regulatory networks were built by merging ERα/ modulator/target triplets (TF, M, T), where TF refers to the ERα, M refers to the modulator, and T refers to the target. Comparing these two networks, ERα non-genomic network has lower FDR than the genomic network. In order to validate these two networks, the same network analysis was performed in the gene expression data from the ZR-75.1 cell. The network overlap analysis between two cancer cells showed 1% overlap for the ERα genomic regulatory network, but 4% overlap for the non-genomic regulatory network. Conclusions We proposed a novel approach to infer the ERα/modulator/target relationships, and construct the genomic/non-genomic regulatory networks in two cancer cells. We found that the non-genomic regulatory network is more reliable than the genomic regulatory network.
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553. Enriched transcription factor binding sites in hypermethylated gene promoters in drug resistant cancer cells.
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Meng Li, Hyun-il Henry Paik, Curt Balch, Yoosung Kim, Lang Li, Tim H-M. Huang, Kenneth P. Nephew, and Sun Kim
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CANCER education ,ALKYLATION ,METHYLATION ,DRUG resistance - Abstract
Motivation: In the human genome, ‘CpG islands’, CG-rich regions located in or near gene promoters, are normally unmethylated. However, in cancer cells, CpG islands frequently gain methylation, resulting in silencing of growth-limiting tumor suppressor genes. To our knowledge, the potential relationship between CpG island hypermethylation, transcription factor (TF) binding in local promoter regions and transcriptional control has not been previously explored in a genome-wide context. Results: In this study, we utilized bioinformatics tools and TF binding site(TFBs) databases to globally analyze sequences methylated in a laboratory model for the development of drug-resistant cancer. Our results demonstrated that four TFBS were enriched in hypermethylated sequences. More interestingly, overrepresentation of these TFBS was observed in hyper-/hypo-methylated sequences where signi.cant changes in methylation levels were observed in drug-resistant cancer cells. In summary, we believe that these.ndings offer a means to further explore the relationship between DNA methylation and gene expression in drug resistance and tumorigenesis. Contact: sunkim2@indiana.edu; knephew@indiana.edu [ABSTRACT FROM AUTHOR]
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- 2008
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554. Epigenetic repression of the estrogen-regulated Homeobox B13 gene in breast cancer.
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Benjamin A.T. Rodriguez, Alfred S.L. Cheng, Pearlly S. Yan, Dustin Potter, Francisco J. Agosto-Perez, Charles L. Shapiro, and Tim H.-M. Huang
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GENETICS of breast cancer ,HOMEOBOX genes ,EPIGENESIS ,BREAST cancer patients ,TAMOXIFEN ,METHYLATION ,CARCINOGENESIS - Abstract
Several studies have reported that a high expression ratio of HOXB13 to IL17BR predicts tumor recurrence in node-negative, estrogen receptor (ER) α-positive breast cancer patients treated with tamoxifen. The molecular mechanisms underlying this dysregulation of gene expression remain to be explored. Our epigenetic analysis has found that increased promoter methylation of one of these genes, HOXB13, correlate with the decreased expression of its transcript in breast cancer cell lines (P HOXB13 is suppressed by the activation of estrogen signaling in ERα-positive breast cancer cells. However, treatment with 4-hydroxytamoxifen (4-OHT), an antiestrogen, abrogates the ERα-mediated suppression in cancer cells. The notion that this transcriptional induction of HOXB13 occurs in vitro with simultaneous exposure to both estrogen and 4-OHT may provide a biological explanation for its aberrant expression in many node-negative patients undergoing tamoxifen therapy. Interestingly, promoter hypermethylation of HOXB13 is more frequently observed in ERα-positive patients with increased lymph node metastasis (P = 0.031) and large tumor sizes (>5 cm) (P = 0.008). In addition, this aberrant epigenetic event is associated with shorter disease-free survival (P = 0.029) in cancer patients. These results suggest that hypermethylation of HOXB13 is a late event of breast tumorigenesis and a poor prognostic indicator of node-positive cancer patients. [ABSTRACT FROM AUTHOR]
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- 2008
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555. Empirical Bayes Model Comparisons for Differential Methylation Analysis
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Teng, Mingxiang, Wang, Yadong, Kim, Seongho, Li, Lang, Shen, Changyu, Wang, Guohua, Liu, Yunlong, H. M. Huang, Tim, P. Nephew, Kenneth, and Balch, Curt
- Abstract
A number of empirical Bayes models (each with different statistical distribution assumptions) have now been developed to analyze differential DNA methylation using high-density oligonucleotide tiling arrays. However, it remains unclear which model performs best. For example, for analysis of differentially methylated regions for conservative and functional sequence characteristics (e.g., enrichment of transcription factor-binding sites (TFBSs)), the sensitivity of such analyses, using various empirical Bayes models, remains unclear. In this paper, five empirical Bayes models were constructed, based on either a gamma distribution or a log-normal distribution, for the identification of differential methylated loci and their cell division—(1, 3, and 5) and drug-treatment-(cisplatin) dependent methylation patterns. While differential methylation patterns generated by log-normal models were enriched with numerous TFBSs, we observed almost no TFBS-enriched sequences using gamma assumption models. Statistical and biological results suggest log-normal, rather than gamma, empirical Bayes model distribution to be a highly accurate and precise method for differential methylation microarray analysis. In addition, we presented one of the log-normal models for differential methylation analysis and tested its reproducibility by simulation study. We believe this research to be the first extensive comparison of statistical modeling for the analysis of differential DNA methylation, an important biological phenomenon that precisely regulates gene transcription.
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- 2012
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556. Reappraisal of percutaneous transhepatic cholangioscopic lithotomy for primary hepatolithiasis.
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Chen C, Huang M, Yang J, Yang C, Yeh Y, Wu H, Chou D, Yueh S, and Nien C
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- Adult, Aged, Cholangiocarcinoma epidemiology, Cholangitis epidemiology, Cholelithiasis epidemiology, Comorbidity, Constriction, Pathologic epidemiology, Female, Follow-Up Studies, Gallbladder Neoplasms epidemiology, Hepatectomy, Hepatic Duct, Common pathology, Humans, Lithotripsy, Liver Abscess epidemiology, Male, Middle Aged, Postoperative Complications epidemiology, Recurrence, Reoperation, Retrospective Studies, Treatment Outcome, Laparoscopy methods, Lithiasis surgery, Liver Diseases surgery
- Abstract
Background: A review of the literature pertaining to percutaneous transhepatic cholangioscopic lithotomy (PTCSL) showed that more than 50% of reported patients had undergone earlier biliary surgery., Methods: A retrospective study investigated 74 patients undergoing initial PTCSL for hepatolithiasis who had undergone no prior biliary surgery or manipulation. The patients were followed for 1 to 23 years after PTCSL for effective evaluation of the procedure outcome., Results: Complete clearance of hepatolithiasis was achieved for 61 (82%) patients. The incomplete clearance rate was higher for patients with intrahepatic duct stricture (11/37 [30%] vs 2/37 [5%]; p < 0.05), although it showed no relation to the actual lobar distribution of hepatolithiasis (left: 7/41 [17%] vs right: 2/11 [18%] vs bilateral: 4/22 [18%]; p < 0.05). The recurrence rate for hepatolithiasis also was higher for patients with intrahepatic duct stricture (18/26 [69%] vs 13/35 [37%]; p < 0.05), but the recurrence rate showed no relation to the lobar distribution of hepatolithiasis (left: 18/34 [53%] vs right: 4/9 [44%] vs bilateral: 9/18 [50%] p > 0.05) or the presence of gallbladder stones (5/12 [42%] vs 26/49 [53%]; p > 0.05). Patients showing the coexistence of retained or recurrent hepatolithiasis demonstrated a higher incidence of recurrent cholangitis (57% [13/23] vs 14% [7/51]; p < 0.01) or cholangiocarcinoma (17% [4/23]) vs 0% [0/51]; p < 0.01)., Conclusions: The findings show that PTCSL is effective for treating primary hepatolithiasis, and that complete stone clearance is mandatory to diminish the sequelae of hepatolithiasis. Intrahepatic duct stricture was the main factor contributing to incomplete clearance and stone recurrence.
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- 2005
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