• Title/Summary/Keyword: ChIP-chip

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Inference of Genetic Regulatory Modules Using ChIP-on-chip and mRNA Expression Data

  • Cho, Hye-Young;Lee, Do-Heon
    • Bioinformatics and Biosystems
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    • v.2 no.2
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    • pp.62-65
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    • 2007
  • We present here the strategy of data integration for inference of genetic regulatory modules. First, we construct all possible combinations of regulators of genes using chromatin-immunoprecipitation(ChIP)-chip data. Second, hierarchical clustering method is employed to analyze mRNA expression profiles. Third, integration method is applied to both of the data. Finally, we construct a genetic regulatory module which is involved in the function of ribosomal protein synthesis.

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A Review of Three Different Studies on Hidden Markov Models for Epigenetic Problems: A Computational Perspective

  • Lee, Kyung-Eun;Park, Hyun-Seok
    • Genomics & Informatics
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    • v.12 no.4
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    • pp.145-150
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    • 2014
  • Recent technical advances, such as chromatin immunoprecipitation combined with DNA microarrays (ChIp-chip) and chromatin immunoprecipitation-sequencing (ChIP-seq), have generated large quantities of high-throughput data. Considering that epigenomic datasets are arranged over chromosomes, their analysis must account for spatial or temporal characteristics. In that sense, simple clustering or classification methodologies are inadequate for the analysis of multi-track ChIP-chip or ChIP-seq data. Approaches that are based on hidden Markov models (HMMs) can integrate dependencies between directly adjacent measurements in the genome. Here, we review three HMM-based studies that have contributed to epigenetic research, from a computational perspective. We also give a brief tutorial on HMM modelling-targeted at bioinformaticians who are new to the field.

Characterization of Chromatin Structure-associated Histone Modifications in Breast Cancer Cells

  • Hong, Chang-Pyo;Choe, Moon-Kyung;Roh, Tae-Young
    • Genomics & Informatics
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    • v.10 no.3
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    • pp.145-152
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    • 2012
  • Chromatin structure and dynamics that are influenced by epigenetic marks, such as histone modification and DNA methylation, play a crucial role in modulating gene transcription. To understand the relationship between histone modifications and regulatory elements in breast cancer cells, we compared our chromatin immunoprecipitation sequencing (ChIP-Seq) histone modification patterns for histone H3K4me1, H3K4me3, H3K9/16ac, and H3K27me3 in MCF-7 cells with publicly available formaldehyde-assisted isolation of regulatory elements (FAIRE)-chip signals in human chromosomes 8, 11, and 12, identified by a method called FAIRE. Active regulatory elements defined by FAIRE were highly associated with active histone modifications, like H3K4me3 and H3K9/16ac, especially near transcription start sites. The H3K9/16ac-enriched genes that overlapped with FAIRE signals (FAIRE-H3K9/14ac) were moderately correlated with gene expression levels. We also identified functional sequence motifs at H3K4me1-enriched FAIRE sites upstream of putative promoters, suggesting that regulatory elements could be associated with H3K4me1 to be regarded as distal regulatory elements. Our results might provide an insight into epigenetic regulatory mechanisms explaining the association of histone modifications with open chromatin structure in breast cancer cells.

Differential expression of tescalcin by modification of promoter methylation controls cell survival in gastric cancer cells

  • Tae Woo Kim;Seung Ro Han;Jong-Tae Kim;Seung-Min Yoo;Myung-Shin Lee;Seung-Hoon Lee;Yun Hee Kang;Hee Gu Lee
    • Oncology Letters
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    • v.41 no.6
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    • pp.3464-3474
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    • 2019
  • The EF-hand calcium binding protein tescalcin (TESC) is highly expressed in various human and mouse cancer tissues and is therefore considered a potential oncogene. However, the underlying mechanism that governs TESC expression remains unclear. Emerging evidence suggests that TESC expression is under epigenetic regulation. In the present study, the relationship between the epigenetic modification and gene expression of TESC in gastric cancer was investigated. To evaluate the relationship between the methylation and expression of TESC in gastric cancer, the methylation status of CpG sites in the TESC promoter was analyzed using microarray with the Illumina Human Methylation27 BeadChip (HumanMethylation27_270596_v.1.2), gene profiles from the NCBI Dataset that revealed demethylated status were acquired, and real-time methylation-specific PCR (MSP) in gastric cancer cells was conducted. In the present study, it was demonstrated that the hypermethylation of TESC led to the downregulation of TESC mRNA/protein expression. In addition, 5-aza-2c-deoxycytidine (5'-aza-dC) restored TESC expression in the tested gastric cancer cells except for SNU-620 cells. ChIP assay further revealed that the methylation of the TESC promoter was associated with methyl-CpG binding domain protein (MBD)1, histone deacetylase (HDAC)2, and Oct-1 and that treatment with 5'-aza-dC facilitated the dissociation of MBD1, HDAC2, and Oct-1 from the promoter of TESC. Moreover, silencing of TESC increased MBD1 expression and decreased the H3K4me2/3 level, thereby causing transcriptional repression and suppression of cell survival in NCI-N87 cells; conversely, overexpression of TESC downregulated MBD1 expression and upregulated the H3K4me2 level associated with active transcription in SNU-638 cells. These results indicated that the differential expression of TESC via the modification status of the promoter and histone methylation controled cell survival in gastric cancer cells. Overall, the present study provided a novel therapeutic strategy for gastric cancer.