Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Promiscuous gene expression in human medullary thymic epithelial cell subsets

ABSTRACT: Different human mTEC subsets (MUC1, CEACAM5 and SGLT1) were purified by sequential enzymatic digestion (collagenase/dispase, trypsin) followed by enrichment using magnetic beads (CD45 beads, Miltenyi Biotech) and FACS sorting. Cells of the surface phenotype CD45-, CDR2-, EpCAM+ were further subdivided into MUC1+/MUC1-, CEACAM5+/CEACAM5- and SGLT1+/SGLT1- fractions. RNA was isolated using μMACS™ SuperAmp™ protocol (Miltenyi Biotec) and hybridized to Illumina Whole-Genome Expression Beadchips. Gene expression of Antigen-positive and Antigen-negative mTEC subsets was compared.

ORGANISM(S): Homo sapiens

PROVIDER: GSE49625 | GEO | 2013/08/31

SECONDARY ACCESSION(S): PRJNA214510

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Promiscuous gene expression in human medullary thymic epithelial cell subsets

Project description:Different human mTEC subsets (MUC1, CEACAM5 and SGLT1) were purified by sequential enzymatic digestion (collagenase/dispase, trypsin) followed by enrichment using magnetic beads (CD45 beads, Miltenyi Biotech) and FACS sorting. Cells of the surface phenotype CD45-, CDR2-, EpCAM+ were further subdivided into MUC1+/MUC1-, CEACAM5+/CEACAM5- and SGLT1+/SGLT1- fractions. RNA was isolated using μMACS™ SuperAmp™ protocol (Miltenyi Biotec) and hybridized to Illumina Whole-Genome Expression Beadchips. Gene expression of Antigen-positive and Antigen-negative mTEC subsets was compared. Total RNA was isolated from ex-vivo isolated human mTEC subsets using μMACS™ SuperAmp™ protocol (Miltenyi Biotec)

2013-08-31 | E-GEOD-49625 | biostudies-arrayexpress

RNA-seq of medullary thymic epithelial cell (mTEC) subsets in inducible Aire-lineage tracing mice

Project description:The goal of the study was to sequence mRNA expression from sorted medullary thymic epithelial cell (mTEC) subsets in inducible Aire-CreERT2.R26-Stopfl-tdTomato lineage tracing mice after a pulse chase. Four cell subsets were sorted 7 days after a single 2mg pulse of tamoxifen administered by oral gavage. 4 biological replicates (1,2,3,4) were collected derived from 12 pooled thymi per replicate. From the DAPI-;CD45-;EpCAM+ TEC pool, cells were sorted as: pre-Aire (MHCIIlo;RFP-), early-Aire (MHCIIhi;RFP-), late-Aire (MHCIIhi;RFP+), and post-Aire (MHCIIlo;RFP+). The data were used to identify differentially expressed genes across the four mTEC subsets to examine mTEC heterogeneity and identify novel mTEC subpopulations.

2018-05-19 | GSE114651 | GEO

microRNA expression profiles in bone marrow fractions from gastric cancer patients

Project description:Both disseminated tumor cells and noncancerous host cells contributed to cancer progression cooperatively in bone marrow. Bone marrow samples were obtained from 4 gastric cancer patients, and were separated into 3 fractions (CD45 positive, CD45 negative/EpCAM positive, and CD14 positive fractions) by the automagnetic-activated cell separation (AutoMACS) system using CD45, EpCAM, and CD14 microbeads (Miltenyi Biotec, Germany). microRNA expression profiles in each fractions were evaluated in order to identify candidate prognostic markers for gastric cancer patients. In 4 patients with gastric cancer, bone marrow samples (40 mL) were obtained from iliac bones. Nucleated cells were collected by gradient centrifugation using Ficoll-Paque PREMIUM (GE Healthcare Life Science, USA) and Leucosep (Greiner Bio-One, Germany) according to the manufacturer’s instructions. Next, we separated bone marrow cells into 3 fractions using MACS: CD45 positive (CD45+), CD45 negative/EpCAM positive (CD45-/EpCAM+), and CD14 positive (CD14+). microRNA expression levels of whole bone marrow cells and each fractions were measured by the miRCURY™ LNA array microarray (6th gen-hsa, mmu & rno#208402, Exiqon, Vedbaek, Denmark). The miRCURY™ LNA array microarray slides were scanned using the Agilent G2505C Microarray Scanner System (Agilent Technologies, Inc., USA) and the data analysis was carried out using the Feature Extraction 10.7.3.1 (Agilent Technologies, Inc., USA).

2013-08-23 | E-GEOD-40325 | biostudies-arrayexpress

Zuklys etal_TECmRNA_DicerWT_vs_KO

Project description:mTEC and cTEC profiles from 2 week old Dicer fl/fl (WT) and Foxn1Cre::Dicer fl/fl mice. cTEC(CD45-EpCAM+MHCII+UEA-1-Ly51+) and mTEC(CD45-EpCAM+MHCII+UEA-1+Ly51-) were isolated from thymus tissue by cell sorting

2012-09-03 | E-MEXP-3303 | biostudies-arrayexpress

Genome-wide analysis of TRA (tissue restricted antigen)-specific co-expression groups in mouse medullary thymic epithelial cells (mTECs)

2015-10-28 | GSE69435 | GEO

Genome-wide analysis of TRA (tissue restricted antigen)-specific co-expression groups in mouse medullary thymic epithelial cells (mTECs)

Project description:Analysis of gene co-expression patterns in TRA-specific medullary thymic epithelial cell (mTEC) subsets. The whole genome gene signatures of purified mTEC subsets respectively positive for the TRAs Gp2, Pdpn, Cea1, Gad1, Ins2, Tspan8 were compared to their corresponding TRA-negative mTEC subset control. Results provide the enriched and depleted gene expressions in the different subsets. Total RNA obtained from FACS isolated mTECs positive for the respective TRAs were compared to their TRA-negative mTEC subsets using specific antibodies (Pdpn, Gp2, Cea1, Tspan8) or reporter mice (Gad1, Ins2).

2015-10-28 | E-GEOD-69435 | biostudies-arrayexpress

microRNA expression in thymic epithelial cells

Project description:Thymic epithelial cells (TECs) support T cell development in the thymus. Cortical thymic epithelial cells (cTECs) facilitate positive selection of developing thymocytes whereas medullary thymic epithelial cells (mTECs) facilitate the deletion of self-reactive thymocytes in order to prevent autoimmunity. The mTEC compartment is highly dynamic with continuous maturation and turnover, but the genetic regulation of these processes remains poorly understood. MicroRNAs (miRNAs) are important regulators of TEC genetic programs since miRNA-deficient TECs are severely defective. However, the individual miRNAs important for TEC maintenance and function and their mechanisms of action remain unknown. Here, we demonstrate that miR-205 is highly and preferentially expressed in mTECs during both thymic ontogeny and in the postnatal thymus. This distinct expression is suggestive of functional importance for TEC biology. Genetic ablation of miR-205 in TECs, however, neither revealed a role for miR-205 in TEC function during homeostatic conditions nor during recovery from thymic stress conditions. Thus, despite its distinct expression, miR-205 on its own is largely dispensable for mTEC biology. In order to identify miRNAs differentially expressed in mTECs, we purified cortical thymic epithelial cells (cTECs), mTECs and CD45+ cells as three distinct populations and prepared RNA for microarray analysis. Thymic subsets were FACS-purified from 4-week old NOD wildtype mice. Thymi from 10-12 female mice were pooled together for stromal cell isolation for a total of 3 CD45+, 2 cTEC and 3 mTEC biologic replicates.

2015-07-28 | E-GEOD-68674 | biostudies-arrayexpress

cdr2 siRNA knockdown during passage through mitosis: HeLa cells, Rat1 wild type and c-myc null cells

Project description:[Hela cells]: We performed cdr2 knockdown with a pool of 4 cdr2-specific siRNAs to test whether cdr2 may regulate c-myc target genes as cells passage through mitosis. [Rat1a wild type and myc null cells]: We performed cdr2 knockdown using a pool of 4 cdr2-specific siRNAs to test whether cdr2 may regulate c-myc target genes as cells passage through mitosis.

2010-04-07 | GSE20037 | GEO

Single-cell RNA-Seq of entire ventricles of C57BL/6J and B6.Rag2del mice after myocardial infarction

Project description:We compared the cellular and molecular outcome following permanent LAD ligation in wildtype and T- and B cell deficient Rag2del mice. Our results demonstrate that the significant changes in the cardiac immune response following myocardial infarction (MI). 8-12 weeks old, male and female C57BL/6J mice (Charles River, Wilmington, MA, USA) and B6.Rag2del mice (Jackson laboratory, Bar Harbor, ME, USA) were used for this study. Seven days after MI, entire mouse ventricles were isolated and enzymatically digested. Cells were then labelled with CD45 magnetic beads (Miltenyi Biotec, Germany) and positively enriched using the AutoMACS instrument (Miltenyi Biotec, Germany). Viable macrophages/monocytes (CD45+CD11b+CD11c-DAPI-Lactadherinlo), dendritic cells (CD45+CD11b+CD11c+ DAPI-Lactadherinlo), and NK cells (CD45+CD11b-CD11c+NK1.1+ DAPI-Lactadherinlo) were then sorted on the BD FACSAriaTM IIIu (Becton Dickinson, Franklin Lakes, NJ, USA) roughly in a 1:1:1 ratio into DMEM containing 10% FCS before processing for 10× Genomics single-cell RNA sequencing (scRNA-Seq). Libraries for scRNA-Seq were constructed according to the 10× Genomics protocol using the GemCode Single-Cell 3′ Gel Bead and Library V3 Kit. Quality of amplified cDNA and final libraries were evaluated on the 2100 Bioanalyzer instrument (Agilent) using a High Sensitivity NGS Analysis Kit (Advanced Analytical). Subsequent sequencing was conducted on the HighSeq4000 Sequencing System using the HiSeq SBS and HiSeq PE Cluster Kit V4 (all Illumina, San Die-go, CA. USA).

2023-07-20 | E-MTAB-13147 | biostudies-arrayexpress

Zuklys etal_miRNA_C57BL6_TECs

Project description:Thymic epithelial cells (TECs) were isolated from 2 week old C57BL/6 mice by cell sorting of supbopulations: cTEC (CD45-,EpCAM+, MHCII+, UEA-1-, Ly51+) and mTEC(CD45-,EpCAM+, MHCII+, UEA-1-, Ly51+). Total RNA (80-100ng) extracted from sorted cells was subjected to labeling and hybridisation.

2022-12-29 | E-MEXP-3308 | 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