Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression in WT, Flt3 KO, and Flt3L KO cDC1s and cDC2s

ABSTRACT: Gene expression in WT, Flt3 KO, and Flt3L KO cDC1s and cDC2s

PROVIDER: PRJNA434564 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Gene expression in WT, Flt3 KO, and Flt3L KO cDC1s and cDC2s

Project description:The goal of this study was to determine whether there are any gene expression changes in cDC1s and cDC2s from WT, Flt3 KO, or Flt3L KO mice. Specifically whether developing in the absence of Flt3 signaling had any effects on the gene expression of the cDCs

2018-02-20 | GSE110789 | GEO

Comparison between CD103+ cDC1s from IL-33-treated Flt3L-BMDCs and GM-CSF-treated Flt3L-BMDCs

Project description:To assess genotypic differences between IL-33-induced CD103+ cDC1s and GM-CSF-induced CD103+ cDC1s IL-33 or GM-CSF was treated at 5 ng/ml on the day 5 of Flt3L-BMDC generation and then the cells were incubated for an additional 5 days Then, we performed RNA sequencing of CD103+ cDC1s isolated from IL-33 or GM-CSF-treated Flt3L-BMDCs

2023-05-30 | GSE226585 | GEO

Expression data from WT cDC1s, Zeb2 KO cDC1s, Nfil3 Zeb2 DKO cDC1s and Zeb2 Id2 DKO cDC1s

Project description:We used microarrays to determine whether cDC1s from the two double KO are bona fide cDC1s, and what are the transcriptional changes within these cDC1s.

2019-06-23 | GSE123797 | GEO

The clonal and molecular aetiology of Flt3L-mediated ‘emergency’ dendritic cell development

Project description:Flt3 ligand (Flt3L) promotes an increased generation of type 1 conventional dendritic cells (cDC1s), resulting in enhanced immunity against infections and cancer. Here, we employ cellular barcoding to understand how Flt3L regulates single haematopoietic stem and progenitor cell (HSPC) fate. Our results demonstrate that although Flt3L stimulation can recruit some additional cDC1-generating HSPCs, the major contributing factor to higher cDC1 numbers is through enhanced clonal expansion. This selective cDC1 expansion occurs primarily via multi-/oligo-potent clones, without compromising their clonal output to other lineages. We then develop Divi-Seq to simultaneously profile division history, surface phenotype and the transcriptional state of single HSPCs during the early phase of the response. We discover that Flt3L-responsive HSPCs maintain a proliferative ‘early progenitor’-like state, which leads to a selective emergence of CD11c+cKit+ transitional precursors with high cellular output to cDC1s. These findings inform the mechanistic action of Flt3L in natural immunity and immunotherapy.

2020-04-03 | GSE147977 | GEO

Expression data from WT cDC1s, Zeb2 KO cDC1s, Nfil3 Zeb2 DKO cDC1s and Zeb2 Id2 DKO cDC1s

Project description:Expression data from WT cDC1s, Zeb2 KO cDC1s, Nfil3 Zeb2 DKO cDC1s and Zeb2 Id2 DKO cDC1s

| PRJNA509887 | ENA

Expression data from WT CD24+CD172a+ cDC2s, WT CD24–CD172+ cDC2s, and WT CD24+CD172a– cDC1s

Project description:Expression data from WT CD24+CD172a+ cDC2s, WT CD24–CD172+ cDC2s, and WT CD24+CD172a– cDC1s

| PRJNA548944 | ENA

Comparison between CD103+ cDC1s from IL-33-treated Flt3L-BMDCs and GM-CSF-treated Flt3L-BMDCs

Project description:Comparison between CD103+ cDC1s from IL-33-treated Flt3L-BMDCs and GM-CSF-treated Flt3L-BMDCs

| PRJNA940736 | ENA

Identification of the factors from IL-33-primed CD11c- cells of Flt3L-BMDCs on day 5

Project description:IL-33 induced immunogenic FCGR3+CD103+cDC1s via IL-33-primed CD11c- cells To find IL-33-induced factors from IL-33-primed CD11c- cells We performed RNA sequencing of IL-33-treated WT or ST2-KO CD11c- cells from Flt3L-BMDCs on day 5.

2023-05-30 | GSE226586 | GEO

TopBP1 controls conventional dendritic cell development and Flt3L-driven cDC1 differentiation via PU.1 and IRF8 [ChIP-Seq]

Project description:DNA topoisomerase II-binding protein 1 (TopBP1) plays a vital role in V(D)J recombination during B and T cell development. However, its role in the development of conventional dendritic cells (cDCs) remains unexplored. Mice with DC-specific depletion of TopBP1 (TopBP1cKO) showed accelerated tumor progression due to impaired anti-tumor immunity, characterized by cDC deficiency and pre-DC accumulation. Notably, Flt3 ligand (Flt3L)-mediated tumor immunotherapy was ineffective in TopBP1cKO tumor-bearing mice. Our study demonstrates that TopBP1 is required not only for the steady-state differentiation of total cDCs, including both cDC1 and cDC2, but also for the terminal differentiation of XCR1⁻CD24⁺ emergency progenitors (EPs; CD11c⁺cKit⁺) into XCR1⁺CD24⁺ cDC1s in response to Flt3L. Furthermore, we revealed that TopBP1 directly interacts with PU.1 and IRF8, key transcription factors (TFs) required for cDC development, triggering the expression of their downstream target genes. These findings identify TopBP1 as a crucial factor for cDC development and Flt3L-driven EP differentiation into cDC1s, revealing that the function of key TFs for cDC development is mediated via interaction with TopBP1. Our work underscores the importance of TopBP1 in promoting cDC development and the therapeutic efficacy of Flt3L-mediated tumor immunotherapy.

2025-12-16 | GSE301438 | GEO

Single-cell RNA-seq reveals differentiation of bona fide human pDCs and cDC1s in cultures of cord blood CD34+ progenitors, and a newly identified terminal differentiation step of cDC1s

Project description:CD34+ cord blood hematopoietic progenitors were expanded in vitro as previously described (Balan et al., J Immunol, 2014) and then differentiated on a mixed feeder layer of OP9 cells expressing or not the Notch ligand Delta-like 1, with FLT3-L, TPO and IL-7. At the end of the cultures, single live Lin- HLA-DR+ cells were index sorted in 96-well plates containing lysis buffer, and snap frozen. Four putative cell types were sorted according to their expression patterns of key combinations of cell surface markers: putative pDCs, putative cDC1s, putative pre-cDC2s and putative cDC2s. Single cell RNA-sequencing libraries were subsequently generated for 90 single cells and 6 control wells using an adaptation of Smart-Seq2 (Villani et al., Science, 2017). Cells were sequenced at a depth of 1-3M reads/cell.

2018-08-14 | GSE108546 | 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