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Dataset results
87 results for “hormone signaling”
Effects of Growth Hormone and IGF-1 on Anabolic Signals and Stem Cell Recruitment in Human Skeletal Muscle
ClinicalTrials.gov study NCT03878992. IPD Sharing: NO. Countries: 1. Publications: 12.
Supplemental data: Interfering Peptides Targeting Protein-Protein Interactions in the Ethylene Plant Hormone Signaling Pathway as Tools to Delay Plant Senescence
<p>This dataset supplements the chapter "Interfering Peptides Targeting Protein-Protein Interactions in the Ethylene Plant Hormone Signaling Pathway as Tools to Delay Plant Senescence" published in Methods in Molecular Biology. It includes sample files that illustrate data collection and processing outlined in the article.</p>
Substrate Metabolism, Growth Hormone Signaling (GH), and Insulin Sensitivity During GH and Ketone Bodies Infusion
ClinicalTrials.gov study NCT02655263. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Substrate Metabolism, Growth Hormone Signaling, and Insulin Sensitivity During Fasting
ClinicalTrials.gov study NCT02500095. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Growth Hormone Signaling in Vivo in Humans
ClinicalTrials.gov study NCT00512473. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Metabolic Signalling in Muscle- and Adipose-tissue Following Insulin Withdrawal and Growth Hormone Injection.
ClinicalTrials.gov study NCT02077348. IPD Sharing: Not stated. Countries: 1. Publications: 15.
Hormonal, Metabolic, and Signaling Interactions in PAH
ClinicalTrials.gov study NCT01884051. IPD Sharing: Not stated. Countries: 1. Publications: 8.
The Relationship Between Body Composition and Growth Hormone, SIRT Signaling, Protein Turnover and Insulin Sensitivity
ClinicalTrials.gov study NCT01299831. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Growth Hormone on Insulin Signaling in Muscle Tissue
ClinicalTrials.gov study NCT00477997. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Hypothalamic remodeling of thyroid hormone signaling during hibernation in the arctic ground squirrel
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Temporal pole responds to subtle changes in local thyroid hormone signaling
<p>To study thyroid hormone (TH) signaling in the human brain, we analyzed published microarray data sets of the temporal pole (Brodmann area 38) of 19 deceased donors. An index of TH signaling built on the expression of 19 well known TH-responsive genes in mouse brains (<b>T3S+</b>) varied from 0.92 to 1.1. After Factor analysis, <b>T3S</b><b>+</b> correlated independently with the expression of TH transporters (MCT8, LAT2), TH receptor (TR) beta and TR coregulators (CARM1, MED1, KAT2B, SRC2, SRC3, NCOR2a). Unexpectedly, no correlation was found between <b>T3S+</b> <i>vs</i> DIO2, DIO3, SRC1 or TRα. An unbiased systematic analysis of the entire transcriptome identified a set of 1,649 genes (set #1) with strong positive correlation with <b>T3S+</b> (r>0.75). Factor analysis of set #1 identified two sets of genes that correlated independently with <b>T3S+</b>, sets #2 (329 genes) and #3 (191 genes). When processed through the Molecular Signatures Data Base (MSigDB), both sets #2-3 were enriched with GO-sets related to synaptic transmission and metabolic processes. Ranking individual human brain donors according to their <b>T3S+</b> led us to identify 1,262 genes (set #4) with >1.3-fold higher expression in the top half. The analysis of the overlapped genes between sets #1 and #4 resulted in 769 genes (set #5), which have a very similar MSigDB signature as sets #2-3. In conclusion, gene expression in the human temporal pole can be assessed through <b>T3S+</b> and fluctuates with subtle variations in local TH signaling.</p>
Juvenile hormone pathway in honey bee larvae: a source of possible signal molecules for the reproductive behavior of Varroa destructor
<p>The parasitic mite <i>Varroa destructor </i>devastates honey bee (<i>Apis mellifera</i>) colonies around the world. Entering a brood cell shortly before capping, the <i>Varroa</i> mother feeds on the honey bee larvae. The hormones 20-hydroxyecdysone (20E) and juvenile hormone (JH), acquired from the host, have been considered to play a key role in initiating <i>Varroa</i>'s reproductive cycle. This study focuses on differential expression of the genes involved in the biosynthesis of JH and ecdysone at 6 time points during the first 30 hours after cell capping in both drone and worker larvae of <i>A. mellifera</i>. This time frame, covering the conclusion of the honey bee brood cell invasion and the start of <i>Varroa</i>'s ovogenesis, is critical to the successful initiation of a reproductive cycle. Our findings support a later activation of the ecdysteroid cascade in honey bee drones compared to worker larvae, which could account for the increased egg production of <i>Varroa</i> in <i>A. mellifera</i> drones. The JH pathway was generally downregulated confirming its activity is antagonistic to the ecdysteroid pathway during the larva development. Nevertheless, the genes involved in JH synthesis revealed an increased expression in drones. The upregulation of <i>jhamt</i> gene involved in methyl farnesoate (MF) synthesis came into attention since the MF is not only a precursor of JH but it is also an insect pheromone in its own right as well as JH-like hormone in Acari. This could indicate a possible kairomone effect of MF for attracting the mites into the drone brood cells, along with its potential involvement in ovogenesis after the cell capping, stimulating <i>Varroa</i>'s initiation of egg laying.</p>
Temporal pole responds to subtle changes in local thyroid hormone signaling
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Data from: Rapid effects of elevated stress hormones on male courtship signals suggest a major role for the acute stress response in intra- and intersexual selection
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Data from: A hormone-related female anti-aphrodisiac signals temporary infertility and causes sexual abstinence to synchronize parental care
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Juvenile hormone pathway in honey bee larvae: a source of possible signal molecules for the reproductive behavior of Varroa destructor
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Hedgehog/GLI signalling and hormone independence in prostate cancer (PCa) cell lines
GEO Series GSE27231. Homo sapiens. 12 samples. Type: Expression profiling by array.
Intra-pituitary follicle-stimulating hormone signaling regulates hepatic lipid metabolism
GEO Series GSE216096. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.
Brassinosteroid (BR) plant hormone signaling
GEO Series GSE25135. Arabidopsis thaliana. 10 samples. Type: Genome binding/occupancy profiling by genome tiling array; Expression profiling by array.
HBI1 integrates hormonal and environmental signals to regulate the trade-off between growth and immunity
GEO Series GSE53100. Arabidopsis thaliana. 6 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.