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1.
Cell Physiol Biochem ; 26(2): 155-66, 2010.
Article in English | MEDLINE | ID: mdl-20798499

ABSTRACT

PURPOSE: Circadian rhythms are daily oscillations of multiple biological processes driven by endogenous clocks. Imbalance of these rhythms has been associated with cancerogenesis in humans. To further elucidate the role circadian clocks have in cellular growth control, tumor suppression and cancer treatment, it is revealing to know how clock genes and clock-controlled genes are regulated in healthy humans. MATERIALS AND METHODS: Therefore comparative microarray analyses were conducted investigating the relative mRNA expression of clock genes throughout a 24-hour period in cell samples obtained from oral mucosa of eight healthy diurnally active male study participants. Differentially expressed selected genes of interest were additionally evaluated using qRT-PCR. RESULTS: Microarray analysis revealed 33 significant differentially regulated clock genes and clock- controlled genes, throughout a one day period (6.00h, 12.00h, 18.00h, 24.00h). Hereof were 16 clock genes and 17 clock- controlled genes including tumor suppressor- and oncogenes. qRT-PCR of selected genes of interest, such as hPER2, hCRY1, hBMAL1, hCCRN4L and hSMAD5 revealed significant circadian regulations. CONCLUSION: Our study revealed a proper circadian regulation profile of several clock- and tumor suppressor genes at defined points in time in the participants studied. These findings could provide important information regarding genes displaying the same expression profile in the gastrointestinal tract amounting to a physiological expression profile of healthy humans. In the future asynchronous regulations of those genes might be an additional assistant method to detect derivations distinguishing normal from malignant tissue or assessing risk factors for cancer.


Subject(s)
CLOCK Proteins/metabolism , Circadian Rhythm/genetics , Mouth Mucosa/metabolism , Tumor Suppressor Proteins/metabolism , ARNTL Transcription Factors/genetics , ARNTL Transcription Factors/metabolism , Cryptochromes/genetics , Cryptochromes/metabolism , Humans , Male , Middle Aged , Nuclear Proteins/genetics , Nuclear Proteins/metabolism , Oligonucleotide Array Sequence Analysis , Period Circadian Proteins/genetics , Period Circadian Proteins/metabolism , RNA, Messenger/metabolism , Smad5 Protein/genetics , Smad5 Protein/metabolism , Time Factors , Transcription Factors/genetics , Transcription Factors/metabolism
2.
Exerc Immunol Rev ; 11: 86-96, 2005.
Article in English | MEDLINE | ID: mdl-16385846

ABSTRACT

Exhausting endurance exercise has strong effects on the immune system. Changes have been shown in the cellular composition of peripheral blood and in gene expression within those cells. In this study, custom-made cDNA microarrays focused on inflammation were used to analyze gene expression blood cells obtained from eight half-marathon runners before (t0), immediately after (t1) and 24 hours after exercise (t2). The microarrays that were used contained 384 different cDNAs spotted in triplicate. Differentially-regulated gene expression was analyzed using a simple rule-based clustering. Comparing t1 vs. t0, and t2 vs. t0, 36 and 21 sequences respectively, showed a consistent pattern of changes in all eight athletes. Taken together, the pattern of these modified genes can be viewed as a "gene expression fingerprint" for each time point in response to a half marathon. The known and novel genes identified here represent targets for further molecular characterization of the complex reaction of the body to an exhaustive challenge. These data suggest that gene expression fingerprints can serve as a powerful research tool to design novel strategies for diagnosis and treatment of exercise related injury and stress.


Subject(s)
Exercise/physiology , Gene Expression Profiling , Multigene Family/physiology , Oligonucleotide Array Sequence Analysis/methods , Adult , Blood Chemical Analysis , Cluster Analysis , DNA Fingerprinting , Gene Expression Regulation , Humans , Male , Middle Aged , Running
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