Endocrine and neurogenic regulation of the orphan nuclear receptors Nur77 and Nurr-1 in the adrenal glands

nurr77 and nurr-1 are growth factor-inducible members of the steroid/thyroid hormone receptor gene superfamily. In order to gain insight into the potential roles of nur77 in the living organism, we used pharmacologic treatments to examine the expression of nur77 in the mouse adrenal gland. We found that nur77 and nurr-1 are induced in the adrenal gland upon treatment with pentylene tetrazole (Ptz; Metrazole). This induction is separable into distinct endocrine and neurogenic mechanisms. In situ hybridization analysis demonstrates that nur77 expression upon Ptz treatment in the adrenal cortex is localized primarily to the inner cortical region, the zona fasciculata-reticularis, with minimal induction in the zona glomerulosa. This induction is inhibitable by pretreatment with dexamethasone, indicating involvement of the hypothalamic-pituitary-adrenal axis in the activation of adrenal cortical expression. When mice were injected with adrenocorticotrophic hormone (ACTH), nur77 expression in the adrenal gland spanned all cortical layers including the zona glomerulosa, but medullary expression was not induced. Ptz also induces expression of both nur77 and nurr-1 in the adrenal medulla. Medullary induction is likely to have a neurogenic origin, as nur77 expression was not inhibitable by dexamethasone pretreatment and induction was seen after treatment with the cholinergic neurotransmitter nicotine. nur77 is also inducible by ACTH, forskolin, and the second messenger analog dibutyryl cyclic AMP in the ACTH-responsive adrenal cortical cell line Y-1. Significantly, Nur77 isolated from ACTH-stimulated Y-1 cells bound to its response element whereas Nur77 present in unstimulated cells did not. Moreover, Nur77 in ACTH-treated Y-1 cells was hypophosphorylated at serine 354 compared with that in untreated cells. These results, taken together with the previous observation that dephosphorylation of serine 354 affects DNA binding affinity in vitro, show for the first time that phosphorylation of Nur77 at serine 354 is under hormonal regulation, modulating its DNA binding affinity. Thus, ACTH regulates Nur77 in two ways: activation of its gene and posttranslational modification. A promoter analysis of nur77 induction in Y-1 cells indicates that the regulatory elements mediating ACTH induction differ from those required for induction in the adrenal medullary tumor cell line PC12 and in 3T3 fibroblasts.

Download Full-text

The DNA binding affinity of rat liver nucleoproteins to the regulatory elements of the haptoglobin and α2-macroglobulin genes.

Cell Biology International ◽

10.1006/cbir.1995.1037 ◽

1995 ◽

Vol 19 (12) ◽

pp. 967-972 ◽

Cited By ~ 4

Author(s):

M Petrovic

Keyword(s):

Dna Binding ◽

Binding Affinity ◽

Rat Liver ◽

Regulatory Elements ◽

Α2 Macroglobulin ◽

Dna Binding Affinity

Download Full-text

Modelling the transcription factor DNA-binding affinity using genome-wide ChIP-based data

10.1101/061978 ◽

2016 ◽

Cited By ~ 1

Author(s):

Monther Alhamdoosh ◽

Dianhui Wang

Keyword(s):

Dna Binding ◽

Binding Affinity ◽

Dna Sequences ◽

Binding Sites ◽

Learning Algorithm ◽

Regulatory Elements ◽

Machine Learning Algorithms ◽

Biological Knowledge ◽

Genome Wide ◽

Dna Binding Affinity

Understanding protein-DNA binding affinity is still a mystery for many transcription factors (TFs). Although several approaches have been proposed in the literature to model the DNA-binding specificity of TFs, they still have some limitations. Most of the methods require a cut-off threshold in order to classify a K-mer as a binding site (BS) and finding such a threshold is usually done by handcraft rather than a science. Some other approaches use a prior knowledge on the biological context of regulatory elements in the genome along with machine learning algorithms to build classifier models for TFBSs. Noticeably, these methods deliberately select the training and testing datasets so that they are very separable. Hence, the current methods do not actually capture the TF-DNA binding relationship. In this paper, we present a threshold-free framework based on a novel ensemble learning algorithm in order to locate TFBSs in DNA sequences. Our proposed approach creates TF-specific classifier models using genome-wide DNA-binding experiments and a prior biological knowledge on DNA sequences and TF binding preferences. Systematic background filtering algorithms are utilized to remove non-functional K-mers from training and testing datasets. To reduce the complexity of classifier models, a fast feature selection algorithm is employed. Finally, the created classifier models are used to scan new DNA sequences and identify potential binding sites. The analysis results show that our proposed approach is able to identify novel binding sites in the Saccharomyces cerevisiae [email protected], [email protected]://homepage.cs.latrobe.edu.au/dwang/DNNESCANweb

Download Full-text

Faculty Opinions recommendation of Reduction in DNA-binding affinity of Cys2His2 zinc finger proteins by linker phosphorylation.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1019055.215578 ◽

2004 ◽

Author(s):

Philip Dawson

Keyword(s):

Dna Binding ◽

Binding Affinity ◽

Zinc Finger ◽

Zinc Finger Proteins ◽

Dna Binding Affinity

Download Full-text

Lowering DNA binding affinity of SssI DNA methyltransferase does not enhance the specificity of targeted DNA methylation in E. coli

Scientific Reports ◽

10.1038/s41598-021-94528-3 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Krystyna Ślaska-Kiss ◽

Nikolett Zsibrita ◽

Mihály Koncz ◽

Pál Albert ◽

Ákos Csábrádi ◽

...

Keyword(s):

Dna Methylation ◽

Dna Binding ◽

Binding Affinity ◽

Dna Methyltransferase ◽

Restriction Enzymes ◽

Dna Binding Protein ◽

E Coli ◽

Dna Binding Affinity ◽

Higher Eukaryotes

AbstractTargeted DNA methylation is a technique that aims to methylate cytosines in selected genomic loci. In the most widely used approach a CG-specific DNA methyltransferase (MTase) is fused to a sequence specific DNA binding protein, which binds in the vicinity of the targeted CG site(s). Although the technique has high potential for studying the role of DNA methylation in higher eukaryotes, its usefulness is hampered by insufficient methylation specificity. One of the approaches proposed to suppress methylation at unwanted sites is to use MTase variants with reduced DNA binding affinity. In this work we investigated how methylation specificity of chimeric MTases containing variants of the CG-specific prokaryotic MTase M.SssI fused to zinc finger or dCas9 targeting domains is influenced by mutations affecting catalytic activity and/or DNA binding affinity of the MTase domain. Specificity of targeted DNA methylation was assayed in E. coli harboring a plasmid with the target site. Digestions of the isolated plasmids with methylation sensitive restriction enzymes revealed that specificity of targeted DNA methylation was dependent on the activity but not on the DNA binding affinity of the MTase. These results have implications for the design of strategies of targeted DNA methylation.

Download Full-text

Local Regulation of Adrenal Steroidogenesis: Subtle in vitro Effects of IL-1β on the Human Cell Line NCI-H295R Steroid Production along with Changes in MicroRNA Profile and Orphan Nuclear Receptors NR4As

NeuroImmunoModulation ◽

10.1159/000512325 ◽

2021 ◽

pp. 1-11

Author(s):

Natalia Santucci ◽

Rocío Stampone ◽

Eduardo Brandão Ferreira da Silva ◽

Silvina Villar ◽

Silvana Spinelli ◽

...

Keyword(s):

Adrenal Gland ◽

Cell Line ◽

Nuclear Receptors ◽

Human Cell ◽

Human Cell Line ◽

Mirna Profile ◽

Orphan Nuclear Receptors ◽

Steroid Production ◽

Adrenal Steroid ◽

Adrenal Steroidogenesis

Introduction: IL-1β, a cytokine from the innate immune response, is well known for its proinflammatory effects and stimulating activity on the hypothalamus-pituitary-adrenal axis, leading to the pituitary synthesis of adrenocorticotropic hormone followed by cortisol (and dehydroepiandrosterone – DHEA) release by the adrenal gland. While IL-1β modulates the adrenal steroidogenesis at the central level, it is unclear whether it also exerts an effect on the adrenal gland. Method: We studied the effect of IL-1β on adrenal steroid production and steroidogenic enzyme RNA expression in the human cell line NCI-H295R. We also explored eventual changes in the microRNA (miRNA) profile from IL-1β-treated NCI-H295R cells. Results: Transcripts encoding IL-1β receptors 1 and 2 were noticeable in the cell line, with cortisol and DHEA production showing a subtle increase after cytokine treatment. Transcripts from key enzymes in the steroidogenic pathway were analyzed, with no noticeable changes on them. The miRNA profile was modified by IL-1β treatment to an extent which bears some relationship with the regulatory mechanisms underlying adrenal steroid production. Since orphan nuclear receptors NR4As have emerged as potential key factors for coordinating inflammatory and metabolic responses, cell expression studies were also carried out to show an NR4As transcript augmentation following IL-1β treatment. Discussion/Conclusions: The subtle increase in adrenal steroid production in response to IL-1β stimulation without any modification in the transcription of the steroidogenic enzymes analyzed suggests an additional inflammatory/anti-inflammatory loop, wherein NR4As receptors may participate. Besides its physiological role, this process might be implied in pathological states accompanied by an unbalanced immune-endocrine relationship.

Download Full-text