Literature DB >> 14976353

Single cell analysis of switch-like induction of CYP1A1 in liver cell lines.

Carolyn J Broccardo1, Ruth E Billings, Laura S Chubb, Melvin E Andersen, William H Hanneman.   

Abstract

The shape of the dose-response curve may vary depending on whether one examines response at a population or a single cell level. Populations of cells may exhibit a graded response whereas single cell responses may have threshold or switch-like behavior. Studies in vivo and in vitro using primary hepatocyte cultures have shown that induction of CYP1A1 in the liver exhibits switch-like behavior in response to PCB 126 (3,3',4,4',5-pentachlorobiphenyl). The goal of the present study was to determine if two liver cell lines (H4IIE rat hepatoma and Hepa 1c1c7 mouse hepatoma) also show switch-like behavior and develop experimental models for studying mechanisms of these switch-like responses. Both cell lines were analyzed via concentration-response and time-course studies using quantitative real-time PCR, revealing a sigmoidal concentration-response curve for CYP1A1 mRNA induction at the population level. To study CYP1A1 protein induction on a single cell level, flow cytometry was employed. In both cell lines the distribution of fluorescence increased with increasing concentrations of PCB 126. The switch behavior was more pronounced in the H4IIE cells than in the Hepa 1c1c7 cells, exhibiting a well-defined shift of induction from the "off" to the "on" state. The concentration-response curve at the single cell level appeared more switch-like with two populations of cells-basal levels and maximally induced. Immunocytochemistry studies of individual cells also support these conclusions. Our data support the hypothesis that PCB 126 induces CYP1A1 in a switch-like fashion in H4IIE rat hepatoma cells. These cells can now be used to study the mechanism of the biological switch.

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Year:  2004        PMID: 14976353     DOI: 10.1093/toxsci/kfh077

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  5 in total

1.  Embracing Systems Toxicology at Single-Cell Resolution.

Authors:  Qiang Zhang; W Michael Caudle; Jingbo Pi; Sudin Bhattacharya; Melvin E Andersen; Norbert E Kaminski; Rory B Conolly
Journal:  Curr Opin Toxicol       Date:  2019-04-19

2.  Complexities in understanding the nature of the dose-response for dioxins and related compounds.

Authors:  Nigel J Walker; Jae-Ho Yang
Journal:  Dose Response       Date:  2006-05-01       Impact factor: 2.658

3.  Computational experiments reveal plausible mechanisms for changing patterns of hepatic zonation of xenobiotic clearance and hepatotoxicity.

Authors:  Shahab Sheikh-Bahaei; Jacquelyn J Maher; C Anthony Hunt
Journal:  J Theor Biol       Date:  2010-06-10       Impact factor: 2.691

4.  All-or-none suppression of B cell terminal differentiation by environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin.

Authors:  Qiang Zhang; Douglas E Kline; Sudin Bhattacharya; Robert B Crawford; Rory B Conolly; Russell S Thomas; Melvin E Andersen; Norbert E Kaminski
Journal:  Toxicol Appl Pharmacol       Date:  2013-01-26       Impact factor: 4.219

5.  A Negative Feedback Loop and Transcription Factor Cooperation Regulate Zonal Gene Induction by 2, 3, 7, 8-Tetrachlorodibenzo-p-Dioxin in the Mouse Liver.

Authors:  Yongliang Yang; David Filipovic; Sudin Bhattacharya
Journal:  Hepatol Commun       Date:  2021-11-02
  5 in total

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