Literature DB >> 24179175

Statin-induced changes in gene expression in EBV-transformed and native B-cells.

Eugene Bolotin1, Angela Armendariz, Kyungpil Kim, Seok-Jin Heo, Dario Boffelli, Kelan Tantisira, Jerome I Rotter, Ronald M Krauss, Marisa W Medina.   

Abstract

Human lymphoblastoid cell lines (LCLs), generated through Epstein-Barr Virus (EBV) transformation of B-lymphocytes (B-cells), are a commonly used model system for identifying genetic influences on human diseases and on drug responses. We have previously used LCLs to examine the cellular effects of genetic variants that modulate the efficacy of statins, the most prescribed class of cholesterol-lowering drugs used for the prevention and treatment of cardiovascular disease. However, statin-induced gene expression differences observed in LCLs may be influenced by their transformation, and thus differ from those observed in native B-cells. To assess this possibility, we prepared LCLs and purified B-cells from the same donors, and compared mRNA profiles after 24 h incubation with simvastatin (2 µm) or sham buffer. Genes involved in cholesterol metabolism were similarly regulated between the two cell types under both the statin and sham-treated conditions, and the statin-induced changes were significantly correlated. Genes whose expression differed between the native and transformed cells were primarily implicated in cell cycle, apoptosis and alternative splicing. We found that ChIP-seq signals for MYC and EBNA2 (an EBV transcriptional co-activator) were significantly enriched in the promoters of genes up-regulated in the LCLs compared with the B-cells, and could be involved in the regulation of cell cycle and alternative splicing. Taken together, the results support the use of LCLs for the study of statin effects on cholesterol metabolism, but suggest that drug effects on cell cycle, apoptosis and alternative splicing may be affected by EBV transformation. This dataset is now uploaded to GEO at the accession number GSE51444.

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Year:  2013        PMID: 24179175      PMCID: PMC3919007          DOI: 10.1093/hmg/ddt512

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  49 in total

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4.  HNRNPA1 regulates HMGCR alternative splicing and modulates cellular cholesterol metabolism.

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Journal:  Hum Mol Genet       Date:  2013-09-02       Impact factor: 6.150

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7.  Epstein-barr virus-induced changes in B-lymphocyte gene expression.

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Journal:  J Virol       Date:  2002-10       Impact factor: 5.103

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9.  RHOA is a modulator of the cholesterol-lowering effects of statin.

Authors:  Marisa W Medina; Elizabeth Theusch; Devesh Naidoo; Frederick Bauzon; Kristen Stevens; Lara M Mangravite; Yu-Lin Kuang; Ronald M Krauss
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Journal:  Nature       Date:  2007-07-04       Impact factor: 49.962

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Journal:  Neurogenetics       Date:  2015-07-11       Impact factor: 2.660

Review 3.  Identifying genetic modulators of statin response using subject-derived lymphoblastoid cell lines.

Authors:  Yu-Lin Kuang; Elizabeth Theusch; Ronald M Krauss; Marisa W Medina
Journal:  Pharmacogenomics       Date:  2021-04-16       Impact factor: 2.533

4.  Gene expression profiling of the response to interferon beta in Epstein-Barr-transformed and primary B cells of patients with multiple sclerosis.

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5.  Genetic Signatures of Acute Asthma Exacerbation Related With Ineffective Response to Corticosteroid.

Authors:  Min Gyu Kang; Hyun Seung Lee; Kelan G Tantisira; Heung Woo Park
Journal:  Allergy Asthma Immunol Res       Date:  2020-07       Impact factor: 5.764

Review 6.  Curbing Lipids: Impacts ON Cancer and Viral Infection.

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8.  Weighted gene co-expression network analysis to identify key modules and hub genes related to hyperlipidaemia.

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9.  Statin-induced expression change of INSIG1 in lymphoblastoid cell lines correlates with plasma triglyceride statin response in a sex-specific manner.

Authors:  E Theusch; K Kim; K Stevens; J D Smith; Y-D I Chen; J I Rotter; D A Nickerson; M W Medina
Journal:  Pharmacogenomics J       Date:  2016-03-01       Impact factor: 3.245

  9 in total

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