Literature DB >> 15814895

Hepatic gene expression changes throughout the day in the Fischer rat: implications for toxicogenomic experiments.

Gary A Boorman1, Pamela E Blackshear, Joel S Parker, Edward K Lobenhofer, David E Malarkey, Molly K Vallant, Diane K Gerken, Richard D Irwin.   

Abstract

There is increasing use of transcriptional profiling in hepatotoxicity studies in the rat. Understanding hepatic gene expression changes over time is critical, since tissue collection may occur throughout the day. Furthermore, when comparing results from different data sets, times of dosing and tissue collection may vary. Circadian effects on the mouse hepatic transcriptome have been well documented. However, limited reports exist for the rat. In one study approximately 7% of the hepatic genes showed a diurnal expression pattern in a comparison of rat liver samples collected during the day versus livers collected at night. The results of a second study comparing rat liver samples collected at multiple time points over a circadian day suggest only minimal variation of the hepatic transcriptome. We studied temporal hepatic gene expression in 48 untreated F344/N rats using both approaches employed in these previous studies. Statistical analysis of microarray (SAM) identified differential expression in day/night comparisons, but was less sensitive for liver samples collected at multiple times of day. However, a Fourier analysis identified numerous periodically expressed genes in these samples including period genes, clock genes, clock-controlled genes, and genes involved in metabolic pathways. Furthermore, rhythms in gene expression were identified for several circadian genes not previously reported in the rat liver. Transcript levels for twenty genes involved in circadian and metabolic pathways were confirmed using quantitative RT-PCR. The results of this study demonstrate a prominent circadian rhythm in gene expression in the rat that is a critical factor in planning toxicogenomic experiments.

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Year:  2005        PMID: 15814895     DOI: 10.1093/toxsci/kfi166

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


  13 in total

Review 1.  Sources of variance in baseline gene expression in the rodent liver.

Authors:  J Christopher Corton; Pierre R Bushel; Jennifer Fostel; Raegan B O'Lone
Journal:  Mutat Res       Date:  2012-01-05       Impact factor: 2.433

2.  A high-throughput microfluidic real-time gene expression living cell array.

Authors:  Kevin R King; Sihong Wang; Daniel Irimia; Arul Jayaraman; Mehmet Toner; Martin L Yarmush
Journal:  Lab Chip       Date:  2006-09-29       Impact factor: 6.799

3.  Optimal sampling of rat liver tissue for toxicogenomic studies.

Authors:  Julie F Foley; Jennifer B Collins; David M Umbach; Sherry Grissom; Gary A Boorman; Alexandra N Heinloth
Journal:  Toxicol Pathol       Date:  2006       Impact factor: 1.902

4.  Population-based discovery of toxicogenomics biomarkers for hepatotoxicity using a laboratory strain diversity panel.

Authors:  Alison H Harrill; Pamela K Ross; Daniel M Gatti; David W Threadgill; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2009-05-06       Impact factor: 4.849

5.  Mouse population-guided resequencing reveals that variants in CD44 contribute to acetaminophen-induced liver injury in humans.

Authors:  Alison H Harrill; Paul B Watkins; Stephen Su; Pamela K Ross; David E Harbourt; Ioannis M Stylianou; Gary A Boorman; Mark W Russo; Richard S Sackler; Stephen C Harris; Philip C Smith; Raymond Tennant; Molly Bogue; Kenneth Paigen; Christopher Harris; Tanupriya Contractor; Timothy Wiltshire; Ivan Rusyn; David W Threadgill
Journal:  Genome Res       Date:  2009-05-05       Impact factor: 9.043

6.  Circadian expression of clock genes in mouse macrophages, dendritic cells, and B cells.

Authors:  Adam C Silver; Alvaro Arjona; Michael E Hughes; Michael N Nitabach; Erol Fikrig
Journal:  Brain Behav Immun       Date:  2011-10-13       Impact factor: 7.217

7.  mRNA levels in control rat liver display strain-specific, hereditary, and AHR-dependent components.

Authors:  Paul C Boutros; Ivy D Moffat; Allan B Okey; Raimo Pohjanvirta
Journal:  PLoS One       Date:  2011-07-08       Impact factor: 3.240

8.  The hepatic transcriptome in human liver disease.

Authors:  Nicholas A Shackel; Devanshi Seth; Paul S Haber; Mark D Gorrell; Geoffrey W McCaughan
Journal:  Comp Hepatol       Date:  2006-11-07

9.  Glucocorticoids with different chemical structures but similar glucocorticoid receptor potency regulate subsets of common and unique genes in human trabecular meshwork cells.

Authors:  Alissar Nehmé; Edward K Lobenhofer; W Daniel Stamer; Jeffrey L Edelman
Journal:  BMC Med Genomics       Date:  2009-09-10       Impact factor: 3.063

10.  A mouse diversity panel approach reveals the potential for clinical kidney injury due to DB289 not predicted by classical rodent models.

Authors:  Alison H Harrill; Kristina D Desmet; Kristina K Wolf; Arlene S Bridges; J Scott Eaddy; C Lisa Kurtz; J Ed Hall; Mary F Paine; Richard R Tidwell; Paul B Watkins
Journal:  Toxicol Sci       Date:  2012-08-31       Impact factor: 4.849

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