Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multimodal spatial transcriptomic characterization of mouse kidney injury and repair [Visium]

ABSTRACT: Multimodal spatial transcriptomic characterization of mouse kidney injury and repair [Visium]

PROVIDER: PRJNA1122779 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR29365050_1.fastq.gz	Fastqsanger.gz
	SRR29365050_2.fastq.gz	Fastqsanger.gz
	SRR29365051_1.fastq.gz	Fastqsanger.gz
	SRR29365051_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 31

Similar Datasets

Multimodal spatial transcriptomic characterization of mouse kidney injury and repair [Visium]

Project description:Spatial transcriptomics (ST) technologies enable the mapping of gene expression to specific regions within tissues. However, current ST platforms present inherent trade-offs between resolution and throughput, which cannot be entirely addressed by a single technology. To unravel the spatiotemporal landscape of gene expression and cellular interactions during kidney injury and repair, we employed an integrated approach combining Xenium's high-resolution in situ sequencing with Visium's whole-transcriptome spatial profiling.

2025-06-07 | GSE269622 | GEO

Multimodal spatial transcriptomic characterization of mouse kidney injury and repair

Project description:Multimodal spatial transcriptomic characterization of mouse kidney injury and repair

| PRJNA1124059 | ENA

Multimodal spatial transcriptomic characterization of mouse kidney injury and repair [Xenium]

Project description:Multimodal spatial transcriptomic characterization of mouse kidney injury and repair [Xenium]

| PRJNA1123296 | ENA

Multimodal spatial transcriptomic characterization of mouse kidney injury and repair [Xenium]

2025-06-07 | GSE269719 | GEO

Spatial Visium FFPE Samples

Project description:Spatial Visium FFPE Samples

| PRJNA971973 | ENA

The Tabulae Paralytica: Multimodal single-cell and spatial atlases of spinal cord injury

Project description:This submission is a dataset of two modalities, single-nucleus transcriptomics and single-nuclei spatial transcriptomics in the spinal cords of mice. The single-nuclei transcriptomics data is harvested and profiled using 10x Genomics Chromium Single Cell Kit Version. The single-nuclei spatial transcriptomics data is harvested and profiled using Visium Spatial Gene Expression.

2024-01-30 | GSE234774 | GEO

Comparing 10x Visium spatial transcriptomic technologies

Project description:Spatial transcriptomics facilitates the understanding of gene expression within complex tissue contexts. Among the array of spatial capture technologies available is 10x Genomics’ Visium which provides whole tissue section profiling, enabling whole transcriptome spatial analysis. Our dataset comprises spleen tissue from mice infected with malaria, spanning multiple experiments and sample preparation protocols for tissue preservation, either as fresh frozen at optimal cutting temperature (OCT) or formalin-fixed paraffin-embedded (FFPE). Tissue placement was also considered, comparing direct tissue placement on the slide with the use of CytAssist (CA), which expands the Visium platform’s capabilities by allowing for the pre-selection of tissue sections and genes through a set of probes. We also include a matching scRNA-seq dataset that can be integrated with the spatial data.

2024-02-26 | GSE254652 | GEO

Visium Spatial transcriptomics analysis of human primary colorectal cancer

Project description:To reveal the spatial distribution and the difference gene expression pattern of cancer cells in colorectal cancer, Visium spatial transcriptomics of four CRC patients was applied

2023-03-14 | GSE226997 | GEO

Spatial transcriptomics (Visium, 10x Genomics) data of Duchenne mouse models

Project description:Quadricep sections of 10µm thick were placed on Visium spatial transcriptomics slide to obtain spatial datasets for these skeletal muscle sections

2023-06-28 | GSE199659 | GEO

Spatial transcriptomics of gastric cancers (Visium 10X platform)

Project description:A total of 9 primary gastric cancers (1 pair of primary-metastasis, GC6) analyzed using Visium 10X platform-based spatial transcriptomics.

2023-12-26 | GSE251950 | GEO

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