Literature DB >> 17879257

Gene expression changes associated with altered growth and differentiation in benzo[a]pyrene or arsenic exposed normal human epidermal keratinocytes.

Damon S Perez1, Robert J Handa, Raymond S H Yang, Julie A Campain.   

Abstract

Both arsenic and benzo[a]pyrene (BaP) inhibit terminal differentiation and alter growth potential in normal human epidermal keratinocytes (NHEK) in vitro. To identify molecular alterations that may be involved in these cellular processes, microarray analysis was carried out on NHEK treated with BaP or arsenic. The gene expression microarray results measuring mRNA levels were as follows: (1) in total, the expression of 85 genes was induced and 17 genes was suppressed by 2.0 microm BaP. (2) Arsenic at an equitoxic dose (5.0 microm) induced the expression of 106 and suppressed 15 genes. Quantitative real-time RT-PCR was used subsequently to confirm microarray findings on selected genes involved in keratinocyte growth and differentiation pathways. These studies confirmed increased mRNA levels in NHEK by BaP of alpha-integrin binding protein 63 (AIBP63) (2.48-fold), retinoic acid- and interferon-inducible protein (IFIT5) (2.74-fold), interleukin-1 alpha (IL1A) (2.64-fold), interleukin-1 beta (IL1B) (2.84-fold) and Ras guanyl releasing protein 1 (RASGRP1) (3.14-fold). Real-time RT-PCR confirmed that arsenic increased mRNA levels of the following genes: retinoblastoma 1 (RB1) (5.4-fold), retinoblastoma-binding protein 1 (ARID4A) (6.8-fold), transforming growth factor beta-stimulated protein (TSC22D1) (6.84-fold), MAX binding protein (MNT) (2.44-fold), and RAD50 (4.24-fold). Collectively, these results indicate that these chemicals target different genes and molecular pathways involved in the regulatory processes controlling NHEK proliferation and differentiation. Mechanistic studies with a subset of genes may allow the correlation of alterations in these molecular markers with chemical-specific blocks to differentiation in NHEK. Copyright (c) 2007 John Wiley & Sons, Ltd.

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Year:  2008        PMID: 17879257     DOI: 10.1002/jat.1301

Source DB:  PubMed          Journal:  J Appl Toxicol        ISSN: 0260-437X            Impact factor:   3.446


  6 in total

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Journal:  Carcinogenesis       Date:  2017-04-01       Impact factor: 4.944

2.  Integration of gene chip and topological network techniques to screen a candidate biomarker gene (CBG) for predication of the source water carcinogenesis risks on mouse Mus musculus.

Authors:  Jie Sun; Shupei Cheng; Aimin Li; Rui Zhang; Bing Wu; Yan Zhang; Xuxiang Zhang
Journal:  Ecotoxicology       Date:  2011-05-04       Impact factor: 2.823

3.  Genomics and proteomics approaches to the study of cancer-stroma interactions.

Authors:  Flávia C Rodrigues-Lisoni; Paulo Peitl; Alessandra Vidotto; Giovana M Polachini; José V Maniglia; Juliana Carmona-Raphe; Bianca R Cunha; Tiago Henrique; Caique F Souza; Rodrigo A P Teixeira; Erica E Fukuyama; Pedro Michaluart; Marcos B de Carvalho; Sonia M Oliani; Eloiza H Tajara; P M Cury; M B de Carvalho; E Dias-Neto; D L A Figueiredo; E E Fukuyama; J F Góis-Filho; A M Leopoldino; R C M Mamede; P Michaluart-Junior; R A Moyses; F G Nóbrega; M P Nóbrega; F D Nunes; E F B Ojopi; L N Serafini; P Severino; A M A Silva; W A Silva; N J F Silveira; S C O M Souza; E H Tajara; V Wünsch-Filho; A Amar; C M Bandeira; M A Braconi; L G Brandão; R M Brandão; A L Canto; M Cerione; R Cicco; M J Chagas; H Chedid; A Costa; B R Cunha; O A Curioni; C S Fortes; S A Franzi; A P Z Frizzera; D Gazito; P E M Guimarães; C M Kaneto; R V M López; R Macarenco; M R Magalhães; C Meneses; A M C Mercante; D G Pinheiro; G M Polachini; A Rapoport; C O Rodini; F C Rodrigues-Lisoni; R V Rodrigues; L Rossi; A R D Santos; M Santos; F Settani; F A M Silva; I T Silva; T B Souza; E Stabenow; J T Takamori; P J Valentim; A Vidotto; F C A Xavier; F Yamagushi; M L Cominato; P M S Correa; G S Mendes; R Paiva; O Ramos; C Silva; M J Silva; M V C Tarlá
Journal:  BMC Med Genomics       Date:  2010-05-04       Impact factor: 3.063

4.  Comparative functional genomic analysis identifies distinct and overlapping sets of genes required for resistance to monomethylarsonous acid (MMAIII) and arsenite (AsIII) in yeast.

Authors:  William J Jo; Alex Loguinov; Henri Wintz; Michelle Chang; Allan H Smith; Dave Kalman; Luoping Zhang; Martyn T Smith; Chris D Vulpe
Journal:  Toxicol Sci       Date:  2009-07-27       Impact factor: 4.849

5.  Association of Arsenic Exposure with Whole Blood DNA Methylation: An Epigenome-Wide Study of Bangladeshi Adults.

Authors:  Kathryn Demanelis; Maria Argos; Lin Tong; Justin Shinkle; Mekala Sabarinathan; Muhammad Rakibuz-Zaman; Golam Sarwar; Hasan Shahriar; Tariqul Islam; Mahfuzar Rahman; Mohammad Yunus; Joseph H Graziano; Karin Broberg; Karin Engström; Farzana Jasmine; Habibul Ahsan; Brandon L Pierce
Journal:  Environ Health Perspect       Date:  2019-05-28       Impact factor: 11.035

6.  Genome-Wide Functional and Stress Response Profiling Reveals Toxic Mechanism and Genes Required for Tolerance to Benzo[a]pyrene in S. cerevisiae.

Authors:  Sean Timothy Francis O'Connor; Jiaqi Lan; Matthew North; Alexandre Loguinov; Luoping Zhang; Martyn T Smith; April Z Gu; Chris Vulpe
Journal:  Front Genet       Date:  2013-02-08       Impact factor: 4.599

  6 in total

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