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1.
Am J Physiol Endocrinol Metab ; 310(7): E572-85, 2016 Apr 01.
Article in English | MEDLINE | ID: mdl-26758684

ABSTRACT

Glucocorticoids and FoxO3 exert similar metabolic effects in skeletal muscle. FoxO3 gene expression was increased by dexamethasone (Dex), a synthetic glucocorticoid, both in vitro and in vivo. In C2C12 myotubes the increased expression is due to, at least in part, the elevated rate of FoxO3 gene transcription. In the mouse FoxO3 gene, we identified three glucocorticoid receptor (GR) binding regions (GBRs): one being upstream of the transcription start site, -17kbGBR; and two in introns, +45kbGBR and +71kbGBR. Together, these three GBRs contain four 15-bp glucocorticoid response elements (GREs). Micrococcal nuclease (MNase) assay revealed that Dex treatment increased the sensitivity to MNase in the GRE of +45kbGBR and +71kbGBR upon 30- and 60-min Dex treatment, respectively. Conversely, Dex treatment did not affect the chromatin structure near the -17kbGBR, in which the GRE is located in the linker region. Dex treatment also increased histone H3 and/or H4 acetylation in genomic regions near all three GBRs. Moreover, using chromatin conformation capture (3C) assay, we showed that Dex treatment increased the interaction between the -17kbGBR and two genomic regions: one located around +500 bp and the other around +73 kb. Finally, the transcriptional coregulator p300 was recruited to all three GBRs upon Dex treatment. The reduction of p300 expression decreased FoxO3 gene expression and Dex-stimulated interaction between distinct genomic regions of FoxO3 gene identified by 3C. Overall, our results demonstrate that glucocorticoids activated FoxO3 gene transcription through multiple GREs by chromatin structural change and DNA looping.


Subject(s)
Dexamethasone/pharmacology , Forkhead Transcription Factors/drug effects , Gene Expression Regulation/drug effects , Glucocorticoids/pharmacology , Histone Code/drug effects , Muscle Fibers, Skeletal/drug effects , Muscle, Skeletal/drug effects , Acetylation/drug effects , Animals , Chromatin/drug effects , Chromatin/metabolism , Forkhead Box Protein O3 , Forkhead Transcription Factors/genetics , Mice , Muscle Fibers, Skeletal/metabolism , Muscle, Skeletal/metabolism , Receptors, Glucocorticoid , Response Elements , Transcription, Genetic
2.
J Mol Biol ; 378(3): 653-65, 2008 May 02.
Article in English | MEDLINE | ID: mdl-18374357

ABSTRACT

The pseudo-fourfold homotetrameric synapse formed by Cre protein and target DNA restricts site-specific recombination to sequences containing dyad-symmetric Cre-binding repeats. Mixtures of engineered altered-specificity Cre monomers can form heterotetramers that recombine nonidentical asymmetric sequences, allowing greater flexibility for target site selection in the genome of interest. However, the variety of tetramers allowed by random subunit association increases the chances of unintended reactivity at nontarget sites. This problem can be circumvented by specifying a unique spatial arrangement of heterotetramer subunits. By reconfiguring intersubunit protein-protein contacts, we directed the assembly of two different Cre monomers, each having a distinct DNA sequence specificity, in an alternating (ABAB) configuration. This designed heterotetramer preferentially recombined a particular pair of asymmetric Lox sites over other pairs, whereas a mixture of freely associating subunits showed little bias. Alone, the engineered monomers had reduced reactivity towards both dyad-symmetric and asymmetric sites. Specificity arose because the organization of Cre-binding repeats of the preferred substrate matched the programmed arrangement of the subunits in the heterotetrameric synapse. When this "spatial matching" principle is applied, Cre-mediated recombination can be directed to asymmetric DNA sequences with greater fidelity.


Subject(s)
Attachment Sites, Microbiological , Integrases/chemistry , Recombination, Genetic , Base Sequence , Binding Sites , DNA Nucleotidyltransferases , Integrases/metabolism , Kinetics , Models, Biological , Models, Molecular , Molecular Sequence Data , Substrate Specificity
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