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271 results for “Adrenal gland”
Full summary statistics of mixQTL for GTEx v8 Adrenal_Gland
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Adult adrenal gland scRNA-seq
<p>Adult adrenal gland scRNA-seq dataset. Gene expression matrices (in dgCMatrix format) are provided as RDS files. Cell annotations (cell types, cortex zonations, and genotypes) are provided in CSV format.</p>
Supplement: In situ spatial reconstruction of distinct normal and pathological cell populations within the human adrenal gland
<p>Supplemental legends, figure, and table for In situ spatial reconstruction of distinct normal and pathological cell populations within the human adrenal gland.</p>
Cell Atlas at Single-Nuclei Resolution of the Adult Human Adrenal Gland and Adrenocortical Adenomas
<p><strong>Abstract</strong></p> <p>The human adrenal glands are highly dynamic endocrine organs that are involved in the secretion of various hormones such as steroids and catecholamines. Here we present a single-nuclei and spatial transcriptomic analysis of healthy adult human adrenal glands to provide a complete adrenal gland atlas. With this, we show how such an atlas can be taken advantage when studying adrenocortical diseases, such as adrenocortical adenomas (ACA). Using nornal adrenal as reference, we showed a high intra-tumoural heterogeneity in the single-nuclei transcriptome of ACA, revealing the presence of specific cell populations associated with cortisol secretion and genetic background.</p> <p> </p> <p><strong>Data content</strong></p> <p>This dataset contains the two Visium replicates (NAG-7A and NAG-7B) processed using Space Ranger (spaceranger-1.0.0).</p> <p> </p>
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
Fetal Adrenal Gland Volume Estimation Compared to Cervical Length Assessment in Prediction of Preterm Birth
ClinicalTrials.gov study NCT02351336. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Physiologic Interactions Between the Adrenal- and the Parathyroid Glands
ClinicalTrials.gov study NCT02572960. IPD Sharing: NO. Countries: 1. Publications: 3.
Study of Adrenal Gland Tumors
ClinicalTrials.gov study NCT00005927. IPD Sharing: UNDECIDED. Countries: 1. Publications: 8.
Fetal Adrenal Gland Volume Estimation in Prediction of Preterm Birth
ClinicalTrials.gov study NCT02339623. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Adrenal gland
Drawing uploaded to scidraw.io on: 12 March 2020
Antineoplaston Therapy in Treating Patients With Stage IV Adrenal Gland Cancer
ClinicalTrials.gov study NCT00003453. IPD Sharing: NO. Countries: 1. Publications: 0.
Rodent Research-1 (RR1) NASA Validation Flight: Mouse adrenal gland transcriptomic proteomic and epigenomic data
NASA s Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS) it is imperative to use crew time efficiently while maximizing high-quality science return. NASA s GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics systems biology-based approach and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA DNA and protein extracted from archived RR-1 tissue samples for epigenomic transcriptomic and proteomic assays. During the first RR spaceflight experiment a variety of tissue types were harvested from subjects snap-frozen or RNAlater-preserved and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands quadriceps gastrocnemius tibialis anterior extensor digitorum longus soleus eye and kidney. We report here protocols for and results of these tissue extractions and thus the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.
Rodent Research-3-CASIS: Mouse adrenal gland transcriptomic proteomic and epigenomic data
The Rodent Research-3 (RR-3) mission was sponsored by the pharmaceutical company Eli Lilly and Co. and the Center for the Advancement of Science in Space to study the effectiveness of a potential countermeasure for the loss of muscle and bone mass that occurs during spaceflight. Twenty BALB/c 18-weeks old female mice (ten controls and ten treated) were flown to the ISS and housed in the Rodent Habitat for 39-42 days. Twenty mice of similar age sex and strain were used for ground controls housed in identical hardware and matching ISS environmental conditions. Basal controls were housed in standard vivarium cages. Spaceflight ground controls and basal groups had blood collected then were euthanized had one hind limb removed and finally whole carcasses were stored at -80 C until dissection. All mice in this data set received only the control/sham injection.
Control eCLIP from adrenal gland (ENCSR217SVF)
GEO Series GSE176733. Homo sapiens. 2 samples. Type: Other.
ChIP-seq from adrenal gland (ENCSR031KWR)
GEO Series GSE105272. Homo sapiens. 1 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Control ChIP-seq from adrenal gland (ENCSR234FYG)
GEO Series GSE142935. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
total RNA-seq from adrenal gland (ENCSR511LAZ)
GEO Series GSE219327. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
snRNA-seq from adrenal gland (ENCSR362YDM)
GEO Series GSE286686. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
microRNA-seq from adrenal gland (ENCSR359KCJ)
GEO Series GSE187265. Mus musculus. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
ATAC-seq from adrenal gland (ENCSR113MBR)
GEO Series GSE170314. Homo sapiens. 1 samples. Type: 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.
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DANDI Archive for NWB datasets
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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.