Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics

ABSTRACT: Clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics

PROVIDER: PRJNA642635 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12103500_1.fastq.gz	Fastqsanger.gz
	SRR12103500_2.fastq.gz	Fastqsanger.gz
	SRR12103501_1.fastq.gz	Fastqsanger.gz
	SRR12103501_2.fastq.gz	Fastqsanger.gz
	SRR12103502_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 192

Similar Datasets

Clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics

Project description:The mammalian brain contains many specialized cells that develop from a thin sheet of neuroepithelial progenitor cells. Single-cell transcriptomics revealed hundreds of molecularly diverse cell types in the nervous system, but the lineage relationships between mature cell types and progenitor cells are not well understood. Here we show in vivo barcoding of early progenitors to simultaneously profile cell phenotypes and clonal relations in the mouse brain using single-cell and spatial transcriptomics. By reconstructing thousands of clones, we discovered fate-restricted progenitor cells in the mouse hippocampal neuroepithelium and show that microglia are derived from few primitive myeloid precursors that massively expand to generate widely dispersed progeny. We combined spatial transcriptomics with clonal barcoding and disentangled migration patterns of clonally related cells in densely labelled tissue sections. Our approach enables high-throughput dense reconstruction of cell phenotypes and clonal relations at the single-cell and tissue level in individual animals and provides an integrated approach for understanding tissue architecture.

2020-06-29 | GSE153424 | GEO

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

Spatial transcriptomics of human brain metastases

Project description:Spatial transcriptomics of six surgically-resected human brain metastasis samples

2021-08-04 | GSE179572 | 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

mousemodel_Heptablastoma spatial transcriptomics

Project description:mousemodel_Heptablastoma spatial transcriptomics

| PRJNA801265 | ENA

Spatial transcriptomics of human brain metastases

Project description:Spatial transcriptomics of human brain metastases

| PRJNA744217 | ENA

Clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics.

Project description:The mammalian brain contains many specialized cells that develop from a thin sheet of neuroepithelial progenitor cells. Single-cell transcriptomics revealed hundreds of molecularly diverse cell types in the nervous system, but the lineage relationships between mature cell types and progenitor cells are not well understood. Here we show in vivo barcoding of early progenitors to simultaneously profile cell phenotypes and clonal relations in the mouse brain using single-cell and spatial transcriptomics. By reconstructing thousands of clones, we discovered fate-restricted progenitor cells in the mouse hippocampal neuroepithelium and show that microglia are derived from few primitive myeloid precursors that massively expand to generate widely dispersed progeny. We combined spatial transcriptomics with clonal barcoding and disentangled migration patterns of clonally related cells in densely labeled tissue sections. Our approach enables high-throughput dense reconstruction of cell phenotypes and clonal relations at the single-cell and tissue level in individual animals and provides an integrated approach for understanding tissue architecture.

| S-EPMC8904259 | biostudies-literature

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

SARS-CoV-2 Niches in Human Placenta Revealed by Spatial Transcriptomics

Project description:SARS-CoV-2 Niches in Human Placenta Revealed by Spatial Transcriptomics

| PRJNA924338 | ENA

Spatial Transcriptomics of the human musculotendinous unit, the myotendinous junction

Project description:Identification of cell types in the interphase between muscle and tendon by Visium Spatial Transcriptomics of four human semitendinous muscle-tendon biopsies. Cell types identified by single nuclei RNA seq on similar tissue were localized in situ with the use of Spatial Transcriptomics.

2023-03-02 | E-MTAB-12530 | 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