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302 results for “glucocorticoid receptor”
Morphing libraries, QSAR models, and compounds predicted to be active on the Glucocorticoid receptor (GR)
<p>This repository contains datasets and files related to the computational drug discovery project of the chemical space exploration of the Glucocorticoid receptor. The accompanying Python code is freely available in the GitHub repository (<a title="https://github.com/Iagea/GRML_analyses" href="https://github.com/Iagea/GRML_analyses" target="_blank" rel="noreferrer noopener">https://github.com/Iagea/GRML_analyses</a>).</p> <p><strong>Morphing Libraries:</strong></p> <ul> <li><strong>GRML_library.csv:</strong> The GRML library is the collection of 999,015 virtual compounds generated by Molpher [1-2] starting from GR ligands with unique Bemis-Murcko scaffolds collected from the ChEMBL17 and IMG libraries.</li> <li><strong>RML_library.csv:</strong> The RML library is the collection of 1,346,310 virtual compounds generated by Molpher starting from compounds with unique Bemis-Murcko scaffolds randomly selected from the ZINC database.</li> </ul> <p><strong>IMG library:</strong></p> <ul> <li><strong>IMG_non_proprietary.csv</strong>: The non-proprietary IMG library subset containing 12,956 compounds and their corresponding B-scores from the primary screen.</li> </ul> <p><strong>Molpher inputs:</strong></p> <ul> <li><strong>GR_inputs.csv</strong>: The GR inputs are the ligands used to create the GRML library, 204 compounds from ChEMBL17 (95 compounds) and the non-proprietary dataset from IMG (109 compounds).</li> <li><strong>Random_inputs.csv</strong>: The random inputs are 249 random ZINC compounds used to create the Random library.</li> </ul> <p><strong>Model's training sets:</strong></p> <ul> <li><strong>Model33_training_set.csv</strong>: Random forest classification model training set, it includes 865 compounds; known GR actives and inactives from ChEMBL33 (738 compounds) and non-proprietary active ligands from the IMG library (127 compounds).</li> <li><strong>Model17_training_set.csv</strong>: Random forest classification model training set, it includes 601 compounds; known GR actives and inactives from ChEMBL17 (474 compounds) and non-proprietary active ligands from the IMG library (127 compounds).</li> <li><strong>RFR_training_set.csv</strong>: Random forest regression model training set, it includes 89 compounds; known GR actives and inactives from ChEMBL33 that fit into the GR pharmacophore with the four features we describe in our paper.</li> </ul> <p><strong>Models:</strong></p> <ul> <li><strong>Model33.pkl:</strong> Python pickle file containing the trained Random forest classification models used along with Mondrian cross-conformal prediction to classify GR actives/inactives. This model was trained with ChEMBL33 and IMG libraries.</li> <li><strong>Model17.pkl</strong>: Python pickle file containing the trained Random forest classification models used along with Mondrian cross-conformal prediction to classify GR actives/inactives. This model was trained with ChEMBL17 and IMG libraries.</li> <li><strong>RFR_models.pkl</strong><em>: </em>Python pickle file containing the 100 trained random forest regression models used to rank the proposed active morphs. These models were trained with the RFR_training_set.csv.</li> </ul> <p><strong>Active predicted morphs:</strong></p> <ul> <li><strong>all_morphs_actives</strong><em><strong>_</strong></em><strong>predicted.xlsx:</strong> An Excel spreadsheet containing two sheets. 1) All 22,524 GRML active predicted morphs. 2) All 4,341 RML active predicted morphs. The QED, NIBR Severity Score, and Molskill Score are given for each morph.</li> </ul> <p><strong>Proposed GR active ligands:</strong></p> <ul> <li><strong>designed_ligands.xlsx</strong>: An Excel spreadsheet containing two sheets. 1) All 54 designed GR ligands with their QED, NIBR severity score, MolSkill score, consensus ranking from the 100 RFR models, and the result of the manual annotation and remarks, if available. 2) The structure of the 54 ligands based on their manual annotation and presence or not in ChEMBL33 database.</li> </ul> <p>Researchers and professionals in the field of drug discovery and cheminformatics may find these resources useful for further analysis and investigations.</p> <p><strong>Bibliography</strong></p> <p>[1] Hoksza, D., Škoda, P., Voršilák, M. <em>et al.</em> Molpher: a software framework for systematic chemical space exploration. <em>J Cheminform</em> <strong>6</strong>, 7 (2014). https://doi.org/10.1186/1758-2946-6-7</p> <p>[2] <a href="https://github.com/lich-uct/molpher-lib">https://github.com/lich-uct/molpher-lib</a></p>
The expression of glucocorticoid and mineralocorticoid receptors in corticotroph pituitary tumors
<p>Data include the basic clinical parameters of patients with corticotroph pituitary tumors and the results of the measurements of relative expression level of NR3C1 and NR3C2 genes as well as the results of the evaluation of the expression of glucocorticoid and mineralocorticoid receptor. Gene expression was measured with qRT-PCR, protein expression was assessed with immunohistochemistry.</p>
Glucocorticoid Receptor Blockade With Mifepristone in Patients With Mild Adrenal Hypercortisolism
ClinicalTrials.gov study NCT01990560. IPD Sharing: Not stated. Countries: 1. Publications: 12.
Prior parental experience attenuates hormonal stress responses and alters hippocampal glucocorticoid receptors in biparental rock doves
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Data from quantitative real-time PCR of corticotropin-releasing hormone and glucocorticoid receptor in the hippocampus and hypothalamus of rats subjected to midline fluid percussion injury or control sham surgery.
<p>These files contain all data from quantitative real-time PCR of corticotropin-releasing hormone (CRH) and glucocorticoid receptor (GR) measured in the hippocampus and hypothalamus of male and female rats. Rats were randomly assigned to a treatment group before the initiation of the study. Rats received a control sham surgery or were subjected to midline fluid percussion injury to induce a diffuse traumatic brain injury. Tissue biopsies were collected at 7 days post-injury and analyzed via quantitative real-time PCR. </p> <p> </p>
Loss of the glucocorticoid receptor causes accelerated reproductive aging in female zebrafish
<p>Reproductive decline in mid-adult females isstablished phenotype of the aging process. Stress and the rise in glucocorticoids (GCs) accelerate reproductive aging, but little is known about the mechanisms involved. During stress, GCs activate the glucocorticoid receptor (GR), a ubiquitously expressed, ligand-bound transcription factor, to elicit physiological changes for restoring homeostasis. Here we tested the hypothesis that GC-GR signalling is essential for accelerating reproductive aging. To test this, we used a ubiquitous GR knockout (GRKO) zebrafish, which is inherently hypercortisolemic, to delineate the role of high cortisol and GR signalling on reproductive aging. The loss of GR led to premature reproductive aging, including high frequency of typical and atypical follicular atresia in vitellogenic oocytes, including yolk liquefaction and large inflammatory infiltrates. The reduction in oocyte quality was also associated with a decline in ovarian <i>tert</i> expression in the adult GRKO fish compared to the early-adult GRKO and adult wildtype zebrafish. Accelerated reproductive aging also impacted the progeny, including lower breeding success, fecundity, egg fertilization rate, and delayed somitogenesis and embryo survival in the adult GRKO fish. We adduce that GR signalling is essential for prolonging the reproductive life span and improving the egg quality and embryo viability in zebrafish.</p>
Data from: Sex-specific fitness effects of unpredictable early life conditions are associated with DNA methylation in the avian glucocorticoid receptor
Organisms can adapt to variable environments by using environmental cues to modulate developmental gene expression. In principle, maternal influences can adaptively adjust offspring phenotype when early life and adult environments match, but they may be maladaptive when future environments are not predictable. One of the best-studied 'maternal effects' is through modification of the offspring's hypothalamic–pituitary–adrenal (HPA) axis, the neuroendocrine system that controls responses to stress. In addition to the direct transfer of glucocorticoids from mother to offspring, offspring HPA function and other phenotypes can also be affected by epigenetic modifications like DNA methylation of the glucocorticoid receptor promoter. Here we examine how among-year variation in rainfall is related to DNA methylation during development and fitness in adulthood in the superb starling (Lamprotornis superbus), which lives in a climatically unpredictable environment where early life and adult environments are unlikely to match. We found that DNA methylation in the putative promoter of the glucocorticoid receptor gene is reduced in chicks – particularly in males – born following drier prebreeding periods. Additionally, DNA methylation is lower in males that become breeders than those that never breed. However, there is no relationship in females between DNA methylation and the likelihood of dispersing from the natal group to breed elsewhere. These results suggest that early life conditions may positively affect fitness in a sex-specific manner through chemical modification of an HPA-associated gene. This study is the first to show that epigenetic modifications during early life may influence the fitness of free-living organisms adapted to unpredictable environments.
Data for "The glucocorticoid receptor potentiates aldosterone-induced transcription by the mineralocorticoid receptor"
<p>This deposit contains all the single-molecule trajectories reported in "The glucocorticoid receptor potentiates aldosterone-induced transcription by the mineralocorticoid receptor".</p> <p>To access the tracks, open the mat file in MATLAB. This contains a MATLAB table with the following fields:</p> <p><strong>summary_table.cell_protein{i}</strong> identifies the i<sup>th</sup> dataset i.e. cell line + protein + treatment.</p> <p><strong>summary_table.X{i}{j}</strong> is an Nx2 array of x and y coordinates (in microns) for track j in condition i. N is the number of localizations in that track.</p> <p>Time interval between localizations is 200 ms.</p> <p>Details on data acquisition and tracking parameters can be found in the associated manuscript.</p>
Data from: The size of a melanin-based plumage ornament correlates with glucocorticoid receptor concentrations in the skin of that ornament
Glucocorticoid hormones such as corticosterone (CORT) play crucial roles in many physiological processes. CORT's actions are primarily mediated via binding to two receptors (glucocorticoid receptors (GR) and mineralocorticoid receptors (MR)) in different target tissues. CORT receptors can be independently regulated from circulating hormone titers, from tissue to tissue and even within different regions of the same tissue type. Increasing evidence has shown relationships between circulating CORT and melanin-based pigmentation in skin and feathers, yet to our knowledge there have been no studies of CORT receptors in the skin of melanized ornaments. Male house sparrows (Passer domesticus) have a black, melanized bib, and evidence suggests that bib size is an important intraspecific signal. We examined the relationship between bib area and tissue sensitivity to CORT by quantifying GR and MR in bib skin and in adjacent paler-feathered belly skin (as a control tissue) at different life history stages using radioligand binding assays. Males with larger bibs relative to their life history stage had less GR in bib skin, but not belly skin, than males with smaller bibs. These results suggest a connection between the size of a melanin-based ornament and the underlying tissue's responsiveness to CORT.
RESET-medication Glucocorticoid Receptor (GR) Blockade As Disease Modifying Treatment for Depression with Childhood Trauma
ClinicalTrials.gov study NCT05217758. IPD Sharing: YES. Countries: 1. Publications: 11.
Glucocorticoid Receptor Antagonism in Subclinical Cushings
ClinicalTrials.gov study NCT00721201. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Mutations of Glucocorticoid Receptor in Bilateral Adrenal Hyperplasia
ClinicalTrials.gov study NCT02810496. IPD Sharing: Not stated. Countries: 1. Publications: 2.
The Role of Glucocorticoid Receptor SNPs in Receptor Function and Metabolic Disease
ClinicalTrials.gov study NCT01143493. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Loss of the glucocorticoid receptor causes accelerated reproductive aging in female zebrafish
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Data from: The size of a melanin-based plumage ornament correlates with glucocorticoid receptor concentrations in the skin of that ornament
Open the record for dataset details and reuse information.
Data from: Sex-specific fitness effects of unpredictable early life conditions are associated with DNA methylation in the avian glucocorticoid receptor
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Data from quantitative real-time PCR of corticotropin-releasing hormone and glucocorticoid receptor in the hippocampus and hypothalamus of rats subjected to midline fluid percussion injury or control sham surgery.
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Data from: Environmentally relevant concentrations of bifenthrin affect the expression of estrogen and glucocorticoid receptors in brains of female western mosquitofish
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Data from: Intracellular glucocorticoid receptors in spleen, but not skin, vary seasonally in wild house sparrows (Passer domesticus)
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Data from: Distribution and abundance of glucocorticoid and mineralocorticoid receptors throughout the brain of the great tit Parus major
The glucocorticoid stress response, regulated by the hypothalamic-pituitary-adrenal (HPA) axis, enables individuals to cope with stressors through transcriptional effects in cells expressing the appropriate receptors. The two receptors that bind glucocorticoids—the mineralocorticoid receptor (MR) and glucocorticoid receptor (GR)—are present in a variety of vertebrate tissues, but their expression in the brain is especially important. Neural receptor patterns have the potential to integrate multiple behavioral and physiological traits simultaneously, including self-regulation of glucocorticoid secretion through negative feedback processes. In the present work, we quantified the expression of GR and MR mRNA throughout the brain of a female great tit (Parus major), creating a distribution map encompassing 48 regions. This map, the first of its kind for P. major, demonstrated a widespread but not ubiquitous distribution of both receptor types. In the paraventricular nucleus of the hypothalamus (PVN) and the hippocampus (HP)—the two brain regions that we sampled from a total of 25 birds, we found high GR mRNA expression in the former and, unexpectedly, low MR mRNA in the latter. We examined the covariation of MR and GR levels in these two regions and found a strong, positive relationship between MR in the PVN and MR in the HP and a similar trend for GR across these two regions. This correlation supports the idea that hormone pleiotropy may constrain an individual's behavioral and physiological phenotype. In the female song system, we found moderate GR in hyperstriatum ventrale, pars caudalis (HVC), and moderate MR in robust nucleus of the arcopallium (RA). Understanding intra- and interspecific patterns of glucocorticoid receptor expression can inform us about the behavioral processes (e.g. song learning) that may be sensitive to stress and stimulate future hypotheses concerning the relationships between receptor expression, circulating hormone concentrations and performance traits under selection, including behavior.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.