Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MRNA expression profiles in YT and NK92 cells

ABSTRACT: YT and NK92 cells are EBV-infected lymphoma cells of NK- cell origin. YT cells have weaker expression of T-bet and IFNg than NK92 cells. However, this data set shows that both cell lines have similar mRNA levels, implying post-transcriptional regulations. Affymetrix chips (Human Genome U133 plus 2.0) were used for a genome-wide screen of transcriptional profiles on YT and NK cells. Hybridization and washing of the arrays were done according to the GeneChipÂ® Expression Analysis Technical Manual from Affymetrix. The arrays were scanned with GenePix 4000B (Molecular Devices, Sunnyvale, CA.), and the data were extracted with Affymetrix Microarray suite (MAS) software.

ORGANISM(S): Homo sapiens

SUBMITTER: Chung-Wu Lin

PROVIDER: E-GEOD-53478 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

miRNA expression profiles in YT and NK92 cells

Project description:The miRNA expression profiles of of EBV-infected YT and NK92 cells are compared. YT cells have weaker expression of T-bet and IFNg than NK92 cells. It was found that the EBV-encoded miR-BART20-5p inhibits the expression of T-bet and IFNg in YT cells. Approximately 100 ng total RNAs from YT and NK92 cells were used as the input. The GeneChip miRNA 2.0 array from Affymetrix, including probes for 44 EBV-encoded miRNAs and 1105 human miRNAs, was used. The experiments were performed in the microarray core laboratory of National Health Research Institute, Taiwan.

2014-01-21 | E-GEOD-53476 | biostudies-arrayexpress

mRNA expression profiles in YT and NK92 cells

Project description:YT and NK92 cells are EBV-infected lymphoma cells of NK- cell origin. YT cells have weaker expression of T-bet and IFNg than NK92 cells. However, this data set shows that both cell lines have similar mRNA levels, implying post-transcriptional regulations.

2014-01-21 | GSE53478 | GEO

miRNA expression profiles in YT and NK92 cells

2014-01-21 | GSE53476 | GEO

Transcription profiling of human NK cells sorted into CD56dim and CD56bright NK cell subpopulations

Project description:Human NK cells were sorted into CD56dim and CD56bright NK cell subpopulations. In order to define characteristics of both populations gene profiling was performed using Affymetrix arrays U133a and U133B.

2006-05-31 | E-MEXP-380 | biostudies-arrayexpress

Gene expression analysis for CD56- T, NK, CD56+ T cells, and iNKT cells

Project description:A small subset of T cells also expresses kiler-cell immunoglobulin-like receptors (KIRs). We find that KIR+ T cells primarily reside in the CD56+ T population. However, little is known on how these cells are different from the conventional CD56- T, NK, and iNKT cells. We used microarray profiling to compare and determine the distinctive differences of CD56+ T cell and its KIR subsets when compared to the conventional CD56- T, NK and iNKT cells. Lymphocyte subsets were sorted from human peripheral blood mononuclear cells with FACSAriaII (BD Biosciences, San Jose, CA) using anti-CD3, anti-CD56, anti-CD14, anti-KIR2DL1, anti-KIR2DL2/3, anti-KIR3DL1 and anti-TCRValpha24 antibodies. The purity of CD3+CD56- T cells, CD3-CD56+ NK cells, CD3+CD56+ T cells, KIR-CD3+CD56+ T cells, and KIR+CD3+CD56+ T cells were more than 98% in all experiments. The purities of iNKT cells for TCRValpha24 and CD1d-tetramer were >95% and >90%, respectively. RNA pre-amplification, labeling and hybridization on Human Genome U133Plus 2.0 GeneChip array were performed in the St. Jude Hartwell Center for Bioinformatics & Biotechnology microarray core facility according to the manufacturer’s instructions (Affymetrix, Santa Clara, CA).

2013-07-01 | E-GEOD-47855 | biostudies-arrayexpress

Effects of exercise on gene expression level in human NK Cells

Project description:We tested the hypothesis on the mechanisms responsible for the early control of NK cell function by identifying a discrete set of genes in circulating NK cells that were altered by exercise. Exercise leads to a rapid change in the profile of gene expression in NK cells. Twelve healthy men (20-29 yr old) performed 10 2-min bouts of cycle ergometer exercise interspersed with 1-min rest at a constant work equivalent to about 77% of VO2max. A baseline blood sample was taken before the and immediately after the exercise. NK cells were isolated from PBMC using a negative magnetic cell separation methods (Miltenyi Biotec Kit #130-092-657 and the autoMACSM-BM-. Pro Separator). Total RNA was extracted using TRIzolM-BM-.. For this study we used Affymetrix plus 2 (total of 24 chips).

2013-04-02 | E-GEOD-41914 | biostudies-arrayexpress

Expression data from activated NK cells [RNA]

Project description:Natural Killer (NK) cells present natural cytotoxicity against tumor cells, although their activity is increased after activation. NK cell activation depends on a complex intracellular signaling process mediated by activating and inhibitory receptors and the functional outcome depends on the integration of the activating and inhibitory signals received. Soluble cytokines and/or ligands on target cells bind the NK cell receptors, and hence, influence the final NK cell response: attack versus ignorance. We used microarrays to detail the global programme of gene expression underlying NK cell activation by IL-2, a MHC-I-deficient target cell (K562)+IL-2 and an EBV-target cell (R69). PBLs from 4 different donors were activated by 100 U/ml IL-2; K562+IL-2 or R69 cells. After 5 days we obtained RNA and miRNA from naÃ¯ve NK cells or from NK cells activated with the above mentioned stimuli, with more than 90% of purity. The 16 RNA samples were used to generate cDNA libraries that were hybridized on Human Gene 1.1ST arrays (Affymetrix) and analyzed with the Affymetrix Gene Chip Command Console Software v3.0 (AGCC 3.0, AffymetrixÂ®) and the Expression Console Software v1.1 (AffymetrixÂ®).

2014-09-09 | E-GEOD-50838 | biostudies-arrayexpress

Comparative gene expression of mouse Pancreatic specific transcription factor 1a (Ptf1a/p48) in pancreatic progenitor cells

Project description:Ptf1a was identified as the essential transcription factor which controls pancreatic exocrine enzyme expression. With lineage tracing eperiments Ptf1a was recognized as an important pancreatic progenitor transcription factor and Ptf1a null mice do not develop a pancreas. We used gene expression arrays to determine the global differeences in expression levels when pancreatic progenitor cells are expanding in Ptf1a heterozygote versus null mutants at E10.5. Ptf1a E10.5 dorsal pancreas total RNA from pools of 3 embryos was twice linear amplified and hybridized to Affymetrix GeneChip Mouse Genome 430 2.0 in triplicate for the Ptf1a KO and in duplicate for the Ptf1a heterozygote

2011-01-24 | E-GEOD-26816 | biostudies-arrayexpress

SARS-CoV2 manipulates multiple NK ligands and inhibits NK activation, but this can be overcome by ADNKA, which is strongly activated by non-Spike targeting antibodies

Project description:SARS-CoV2 is recognised the antagonise the interferon response, and functioning interferon responses are critical in determining the severity of disease. However, whether the virus antagonises cellular immunity has not been determined. We used quantitative plasma membrane proteomics in lung epithelial cells to investigate viral manipulation of cell surface ligands, revealing that SARS-CoV2 does not affect HLA-I levels, but downregulates B7-H6, MICA, ULBP2, and Nectin1. Downregulation of these activating NK ligands correlated with a reduction in NK activation in response to infected cells. However, this activation could be overcome through antibody dependent NK activation (ADNKA). Surprisingly, monoclonal anti-spike antibodies were relatively poor activators of ADNKA, however expression of additional viral proteins, including ORF3a and Nucleocapsid, also led to NK activation following addition of antibodies. Furthermore, depletion of Spike antibodies revealed that while the neutralising response was dominated by anti-spike antibodies, these played a minor role in ADNKA against infected cells. Finally, we showed that anti-spike antibodies do mediate ADNKA following vaccination, but that by relying solely on spike to prime ADNKA, this response is considerably weaker than the responses seen following natural infection, and are not boosted by a second vaccine dose. Thus, the addition of extra viral proteins such as nucleocapsid to vaccines may recruit additional effector functions more strongly, reducing the impact of spike mutations on vaccine escape.

2022-05-26 | PXD025000 | Pride

RNA-seq of NK-92 cell line upon BET inhibitor treatment (OTX-015)

Project description:Identification of the mechanisms through which BET inhibitor (OTX-015) stimulates natural killer (NK) activation. RNA-seq was performed comparing vehicle- (DMSO) to OTX-015-treated NK-92 cell line.

2024-01-26 | E-MTAB-12853 | 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