Acrylamide exposure and dose–effect relations on the genome-wide gene expression profile of human target cells

2009 ◽  
Vol 189 ◽  
pp. S94-S95
Author(s):  
Alfonso Lampen ◽  
M. Hummel ◽  
K. Zeilinger ◽  
M. Luebberstedt ◽  
Anke Ehlers
2012 ◽  
Author(s):  
Masami Ikeda ◽  
Keita Watanabe ◽  
Takashi Watanabe ◽  
Yoshinori Igarashi ◽  
Kazumasa Miki ◽  
...  

Blood ◽  
2009 ◽  
Vol 113 (12) ◽  
pp. 2795-2804 ◽  
Author(s):  
Maria E. Figueroa ◽  
Bas J. Wouters ◽  
Lucy Skrabanek ◽  
Jacob Glass ◽  
Yushan Li ◽  
...  

Abstract Acute myeloid leukemia is a heterogeneous disease from the molecular and biologic standpoints, and even patients with a specific gene expression profile may present clinical and molecular heterogeneity. We studied the epigenetic profiles of a cohort of patients who shared a common gene expression profile but differed in that only half of them harbored mutations of the CEBPA locus, whereas the rest presented with silencing of this gene and coexpression of certain T-cell markers. DNA methylation studies revealed that these 2 groups of patients could be readily segregated in an unsupervised fashion based on their DNA methylation profiles alone. Furthermore, CEBPA silencing was associated with the presence of an aberrant DNA hypermethylation signature, which was not present in the CEBPA mutant group. This aberrant hypermethylation occurred more frequently at sites within CpG islands. CEBPA-silenced leukemias also displayed marked hypermethylation compared with normal CD34+ hematopoietic cells, whereas CEBPA mutant cases showed only mild changes in DNA methylation compared with these normal progenitors. Biologically, CEBPA-silenced leukemias presented with a decreased response to myeloid growth factors in vitro.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Carlos Lopez-Ortiz ◽  
Yadira Peña-Garcia ◽  
Purushothaman Natarajan ◽  
Menuka Bhandari ◽  
Venkata Abburi ◽  
...  

BMC Genomics ◽  
2007 ◽  
Vol 8 (1) ◽  
Author(s):  
Hideki Ogino ◽  
Tadashige Nozaki ◽  
Akemi Gunji ◽  
Miho Maeda ◽  
Hiroshi Suzuki ◽  
...  

2011 ◽  
Vol 7 (6) ◽  
pp. 280-284 ◽  
Author(s):  
Ken Miyaguch ◽  
Yutaka Fukuoka ◽  
Hiroshi Mizushima ◽  
Mahmut Yasen ◽  
Shota Nemoto ◽  
...  

BMC Genomics ◽  
2007 ◽  
Vol 8 (1) ◽  
pp. 227 ◽  
Author(s):  
Hideki Ogino ◽  
Tadashige Nozaki ◽  
Akemi Gunji ◽  
Miho Maeda ◽  
Hiroshi Suzuki ◽  
...  

2021 ◽  
Author(s):  
Xiao Sun ◽  
Zhenzhen Luo ◽  
Liuyun Gong ◽  
Xinyue Tan ◽  
Jie Chen ◽  
...  

Abstract Background: Breast cancer is the most commonly diagnosed malignancy in women; thus, more cancer prevention research is urgently needed. The aim of this study was to predict potential therapeutic agents for breast cancer and determine their molecular mechanisms using integrated bioinformatics.Methods: Summary data from a large genome-wide association study of breast cancer was derived from the UK Biobank. The gene expression profile of breast cancer was from the Oncomine database. We performed a network-wide association study and gene set enrichment analysis to identify the significant genes in breast cancer. Then we performed Gene Ontology analysis using the STRING database and conducted Kyoto Encyclopedia of Genes and Genomes pathway analysis using Cytoscape software. We verified our results using the Gene Expression Profile Interactive Analysis, PROgeneV2, and Human Protein Atlas databases. Connectivity map analysis was used to identify small molecule compounds that are potential therapeutic agents for breast cancer.Results: We identified 10 significant genes in breast cancer based on the gene expression profile and genome-wide association study. A total of 65 small molecule compounds were found to be potential therapeutic agents for breast cancer.Conclusion: Combined analyses of network-wide association studies, gene expression profiles, and drug databases are helpful for identifying potential therapeutic agents for diseases. This method is a new paradigm that can guide future research directions.


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