Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging (scRNA-seq)

ABSTRACT: Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging (scRNA-seq)

PROVIDER: PRJEB71071 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging (spatial transcriptomics)

Project description:These data were used in the spatial transcriptomics analysis of the article titled \\"Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging\\".

2024-04-22 | E-MTAB-13991 | biostudies-arrayexpress

Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging (spatial transcriptomics)

Project description:Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging (spatial transcriptomics)

| PRJEB74651 | ENA

Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging (scRNA-seq)

Project description:These data were used in the scRNA-seq analysis of the article titled \\"Steroids-producing adrenocortical nodules: a novel two-layered structure as a precursor lesion of cortisol-producing adenoma\\".

2023-12-28 | E-MTAB-13615 | biostudies-arrayexpress

Spatial transcriptomics of fetal skin

Project description:Spatial organization of different cell types within prenatal skin across various anatomical sites is not well understood. To address this, here we have generated spatial transcriptomics data from prenatal facial and abdominal skin obtained from a donor at 10 post conception weeks. This in combination with our prenatal skin scRNA-seq dataset has helped us map the location of various identified cell types.

2024-06-04 | E-MTAB-13024 | biostudies-arrayexpress

Spatial Transcriptomics correlated Electron Microscopy [scRNA-Seq]

Project description:Spatial Transcriptomics correlated Electron Microscopy [scRNA-Seq]

| PRJNA836864 | ENA

Spatial transcriptomic profiling of the aging mouse brain [spatial scRNA-seq]

Project description:Spatial transcriptomic profiling of the aging mouse brain [spatial scRNA-seq]

| PRJNA794837 | ENA

Single-nucleus and spatial transcriptome reveal adrenal homeostasis in normal and tumoural adrenal glands

Project description: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.

2023-01-01 | E-MTAB-12129 | biostudies-arrayexpress

Spatial transcriptomic profiling of the aging mouse brain [spatial scRNA-seq]

Project description:The mammalian brain can be divided into distinct structural and functional regions to perform a variety of diverse functions, but during normal aging, exactly how each region is affected, and the information interaction changes between different regions, remains largely unknown. To gain a better insight into these processes, here we generate a single-cell spatial transcriptomic (ST) atlas of young and old mice brains involving cerebrum, brain stem and fiber tracts regions. Based on the unbiased classification of spatial molecular atlas, 27 distinguished brain spatial domains were obtained, which are similar to known anatomical regions, but slightly different. Through differential expression analysis and gene set enrichment analysis (GSEA), we identified aging-related genes and pathways that vary in a coordinated or opposite manner across regions. Combined with single-cell transcriptomic data, we characterized the spatial distribution of cell types, identified an up-regulated gene Ifi27 across regions and cell types in VIS region. Through ligand-receptor interaction analysis, we identified all possible information interaction changes between regions with aging. In summary, we establish a brain spatial molecular atlas (accessible online at https:) to provide a rich resource of spatially differentially expressed genes and information interaction, which may help to understand aging and provide novel insights into the molecular mechanism of brain aging.

2024-02-20 | GSE193107 | GEO

Spatial transcriptomics of the axolotl forebrain

Project description:To investigate spatial heterogeneities in the axolotl forebrain, a coronal section of it was obtained for spatial transcriptomics using Visium V1.

2022-07-20 | E-MTAB-11665 | biostudies-arrayexpress

Spatial transcriptomics of 3-month-old and 18-month-old mouse ovarian and uterine tissues

Project description:We used Visium technology (10X Genomics) to infer cell-to-cell communication in ovarian and uterine tissue based on spatial proximity. Organs from 3-month mice in diestrus and 18-month old mice were collected and frozen in OCT. 10 µm thick tissue slices were placed on Visium Spatial Gene Expression Slides (10X Genomics) and stained with Hematoxylin and Eosin (H&E). Libraries were prepared by manufacturer’s recommendations and sequenced on NovaSeq6000. For samples that were sequenced in two runs, both sequencing runs were merged when running spaceranger (10X Genomics). Original nd2 microscopy images and results of scRNA-seq (linked datasets) and spatial transcriptomics analysis are available at Biostudies (S-BIAD482 and S-BSST852).

2024-01-30 | E-MTAB-12105 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data