Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Mus musculus

ABSTRACT: Single cell analysis of transit-amplifying thymic epithelial cells

PROVIDER: PRJDB11896 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DRR305129_1.fastq.gz	Fastqsanger.gz
	DRR305129_2.fastq.gz	Fastqsanger.gz
	DRR305130_1.fastq.gz	Fastqsanger.gz
	DRR305130_2.fastq.gz	Fastqsanger.gz
	DRR305131_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 372

Similar Datasets

Mus musculus

Project description:Single cell analysis of thymic epithelial cells

| PRJDB8838 | ENA

Mus musculus

Project description:Single cell transcriptomic analysis of thymic epithelial cells

| PRJNA289723 | ENA

Mus musculus

Project description:RNA-seq analysis of transit amplifying mTEC in reaggregation thymic organ culture

| PRJDB11897 | ENA

Mus musculus

Project description:Single cell ATAC sequence analysis of thymic epithelial cells

| PRJDB13399 | ENA

Mus musculus

Project description:Single cell RNA-seq analysis of mature thymic epithelial cells

| PRJNA257979 | ENA

Mus musculus strain:CD57BL/6

Project description:Single cell ATAC sequence analysis of thymic epithelial cells

| PRJDB11901 | ENA

Mus musculus strain:C57BL/6

Project description:RNA-seq analysis of transit-amplifying Aire+ mTECs

| PRJDB9868 | ENA

Single cell sequencing defines a branched progenitor population of stable medullary thymic epithelial cells

Project description:Medullary thymic epithelial cells (mTECs) play a critical role in central immune tolerance by mediating negative selection of autoreactive T cells through the collective expression of the peripheral self-antigen compartment, including tissue-specific antigens (TSAs). Recent work has shown that gene expression patterns within the mTEC compartment are remarkably heterogenous and include multiple differentiated cell states. To further define mTEC development and medullary epithelial lineage relationships, we combined lineage tracing and recovery from transient in vivo mTEC ablation with single cell RNA-sequencing in Mus musculus. The combination of bioinformatic and experimental approaches revealed a non-stem transit-amplifying population of cycling mTECs that preceded Aire expression. Based on our findings, we propose a branching model of mTEC development wherein a heterogeneous pool of transit-amplifying cells gives rise to Aire- and Ccl21a-expressing mTEC subsets. We further use experimental techniques to show that within the Aire-expressing developmental branch, TSA expression peaked as Aire expression decreased, implying Aire expression must be established before TSA expression can occur. Collectively, these data provide a higher order roadmap of mTEC development and demonstrate the power of combinatorial approaches leveraging both in vivo models and high-dimensional datasets.

2020-11-24 | GSE137699 | GEO

RNA sequencing of Mus musculus thymic lymphomas

Project description:RNA sequencing of Mus musculus thymic lymphomas

2019-06-06 | GSE85894 | GEO

Functional states in tumor-initiating cell differentiation in human colorectal cancer

Project description:Intra-tumor heterogeneity of tumor-initiating cell (TIC) activity drives colorectal cancer (CRC) progression and therapy resistance. Here, we used single-cell mRNA-sequencing (scRNA-seq) of patient-derived CRC models to decipher distinct cell subpopulations based on their transcriptional profiles. Cell type-specific expression modules of stem-like, transit amplifying-like, and differentiated CRC cells resemble differentiation states of normal intestinal epithelial cells. Strikingly, identified subpopulations differ in proliferative activity and metabolic state. In summary, we here show at single-cell resolution that transcriptional heterogeneity identifies functional states during TIC differentiation. Targeting transcriptional states associated to cancer cell differentiation might unravel vulnerabilities in human CRC.

2021-05-07 | PXD018230 | Pride

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