Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Mus musculus strain:NZBWF1/Slc

ABSTRACT: Comparison between patrolling monocytes and classical monocytes in NZBWF1 mice

PROVIDER: PRJDB12445 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DRR323371.fastq.gz	Fastqsanger.gz
	DRR323372.fastq.gz	Fastqsanger.gz
	DRR323373.fastq.gz	Fastqsanger.gz
	DRR323374.fastq.gz	Fastqsanger.gz
	DRR323375.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

miRNA Profile in Kidney of NZBWF1 mice

Project description:miRNA microarrays were performed to identify changes in miRNA expression between 8-week-old and 28-week-old NZBWF1 mice. 43 miRNAs were identified as being significantly differentially expressed.

2023-09-01 | GSE157255 | GEO

mRNA Profile in Kidney of NZBWF1 mice

Project description:mRNA microarrays were performed to identify changes in mRNA expression between 8-week-old and 28-week-old NZBWF1 mice. 1796 mRNAs were identified as being significantly differentially expressed.

2023-09-01 | GSE157254 | GEO

HUVEC gene expression in response to monocytes

Project description:Monocytes are central for atherosclerotic vascular inflammation. The human non-classical, patrolling subtype, which expresses high levels of CD16 and fractalkine receptor CX3CR1, strongly associates with cardiovascular events. Compared to classical CD14+ monocytes or transwell cocultures, CD16+ monocytes enhanced endothelial STAT1 and NFκB p65 phosphorylation, upregulated expression of CX3CL1 and IL-1β, numerous CCL and CXCL chemokines and molecules promoting leukocyte patrolling and adhesion such as ICAM1 and VCAM1.

2020-08-03 | GSE152625 | GEO

scRNA-seq analysis of lung CD64-expressing mononuclear cells, patrolling and classical monocytes from steady-state C57BL/6J mice

Project description:We sought to evaluate in an unbiased way the heterogeneity of lung interstitial macrophages and their relationship with alveolar macrophages, lung Ly-6Chi classical monocytes and Ly-6Clo patrolling monocytes, by single cell RNA-Seq.

2019-07-31 | E-MTAB-7678 | biostudies-arrayexpress

Single cell RNA sequencing of femur bone marrow cells from the NZBWF1 systemic lupus erythematosus mouse model and its progenitors.

Project description:Systemic lupus erythematosus (SLE) is an autoimmune disorder characterized by failure of self-tolerance mechanisms and the resultant production of autoreactive antibodies. The NZBWF1 mouse spontaneously develops a lupus-like syndrome and is used as model of SLE. The NZBWF1 model represents the F1 generation of a cross between New Zealand Black (NZB) and New Zealand White (NZW) mice. In this study we investigated the model and its progenitors (NZB, NZW) gene expression with single cell RNA sequencing on cells isolated from bone marrow and processed with the 10X Chromium.

2021-05-20 | GSE174728 | GEO

miRNA Profile in Kidney of NZBWF1 mice

Project description:miRNA Profile in Kidney of NZBWF1 mice

| PRJNA660637 | ENA

mRNA Profile in Kidney of NZBWF1 mice

Project description:mRNA Profile in Kidney of NZBWF1 mice

| PRJNA660638 | ENA

Triggering of NOD2 receptor converts inflammatory Ly6Chigh into Ly6Clow monocytes with patrolling properties.

Project description:In the present study, we demonstrate that NOD2 receptor triggering by muramyl dipeptide converts blood inflammatory Ly6Chigh monocytes into patrolling Ly6Clow monocytes. Muramyl dipeptide administration to Nr4a1-/- mice, which lack Ly6Clow monocytes, and to Ly6Clow-depleted mice leads to the emergence of blood patrolling monocytes expressing phenotypic profile of typical Ly6Clow monocytes, including high expression of CX3CR1 and LFA1. Furthermore using intravital microscopy in live animal models of inflammatory diseases, we observed that converted Ly6Chigh monocytes are capable of patrolling the endothelium of blood vessels and their presence contributes to reduce the inflammatory response following muramyl dipeptide injection.

2019-01-14 | GSE101496 | GEO

Differential gene expression profiling of conventional (Tconv), regulatory (Treg), follicular (TFH) helper and follicular regulatory (TFR) T-cells from control vs OX40L-Jagged-1 treated NZBWF1/j mice

Project description:Differential gene expression profiling of conventional (Tconv), regulatory (Treg), follicular (TFH) helper and follicular regulatory (TFR) T-cells from control vs OX40L-Jagged-1 treated NZBWF1/j mice

2022-03-17 | GSE181433 | GEO

Gene expression profiling of the classical (CD14++CD16-), intermediate (CD14++CD16+) and nonclassical (CD14+CD16+) human monocyte subsets

Project description:The new official nomenclature subdivides human monocytes into three subsets, classical (CD14++CD16-), intermediate (CD14++CD16+) and nonclassical (CD14+CD16+). Here, we comprehensively define relationships and unique characteristics of the three human monocyte subsets using microarray and flow cytometry analysis. Our analysis revealed that the intermediate and nonclassical monocyte subsets were most closely related. For the intermediate subset, majority of genes and surface markers were expressed at an intermediary level between the classical and nonclassical subset. There features therefore indicate a close and direct lineage relationship between the intermediate and nonclassical subset. From gene expression profiles, we define unique characteristics for each monocyte subset. Classical monocytes were functionally versatile, due to the expression of a wide range of sensing receptors and several members of the AP-1 transcription factor family. The intermediate subset was distinguished by high expression of MHC class II associated genes. The nonclassical subset were most highly differentiated and defined by genes involved in cytoskeleton rearrangement that explains their highly motile patrolling behavior in vivo. Additionally, we identify unique surface markers, CLEC4D, IL-13RA1 for classical, GFRA2, CLEC10A for intermediate and GPR44 for nonclassical. Our study hence defines the fundamental features of monocyte subsets necessary for future research on monocyte heterogeneity. Three human monocyte subsets, the CD14++CD16- classical, the CD14++CD16+ intermediate and CD14+CD16+ nonclassical subsets were purified using fluorescence activated cell sorting from peripheral blood mononuclear cells. RNA was processed from the three monocyte subsets from 4 individual donors in duplicates, giving a total of 24 samples.

2011-05-01 | E-GEOD-25913 | 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