Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Arraystar m6A-mRNA Epitranscriptomic Microarray Analysis of Atopic Dermatitis and healthy controls

ABSTRACT: To investigate the potential mechanism of m6A modification in the development of AD

ORGANISM(S): Homo sapiens

PROVIDER: GSE222771 | GEO | 2023/10/12

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

the Arraystar Human m6A-mRNA&lncRNA Epitranscriptomic microarray analysis in the neutrophils of ischemic stroke patients and healthy controls

Project description:The high incidence, mortality, and disability rate of ischemic stroke impose huge economic burdens on patients and social health care systems.N6-methyladenosine (m6A) is one of the most extensive RNA methylation modifications in eukaryotes and participates in the pathogenesis of numerous diseases including ischemic stroke. Peripheral blood neutrophils are forerunners after ischemic brain injury and exert crucial functions.However, the underlying mechanisms of neutrophils in ischemic stroke need to be further clarified. This study aims to explore the transcriptional profiles of m6A modification in neutrophils of patients with ischemic stroke. The Arraystar Human m6A-mRNA&lncRNA Epitranscriptomic microarray analysis was performed on the peripheral blood neutrophils of 3 patients with ischemic stroke and 3 healthy controls, providing the clinical significance of m6A modification on ischemic stroke.

2023-07-08 | GSE236381 | GEO

Arraystar m6A-mRNA&lncRNA Epitranscriptomic Microarray Service for 6 Mouse samples

Project description:Total RNA from each sample was quantified using the NanoDrop ND-1000 and RNA integrity was assessed by Bioanalyzer 2100 or Mops electrophoresis. The sample preparation and microarray hybridization were performed based on the Arraystar’s standard protocols. Briefly, the total RNAs were immunoprecipitated with anti-N6-methyladenosine (m6A) antibody. The modified RNAs were eluted from the immunoprecipitated magnetic beads as the “IP”. The unmodified RNAs were recovered from the supernatant as “Sup”. The “IP” and “Sup” RNAs were labeled with Cy5 and Cy3 respectively as cRNAs in separate reactions using Arraystar RNA Labeling protocol. The cRNAs were combined together and hybridized onto Arraystar Mouse mRNA&lncRNA Epitranscriptomic Microarray (8x60K, Arraystar). After washing the slides, the arrays were scanned in two-color channels by an Agilent Scanner G2505C.Agilent Feature Extraction software (version 11.0.1.1) was used to analyze acquired array images. Raw intensities of IP (immunoprecipitated, Cy5-labelled) and Sup (supernatant, Cy3-labelled) were normalized with average of log2-scaled Spike-in RNA intensities. After Spike-in normalization, the probe signals having Present (P) or Marginal (M) QC flags in a certain proportion were retained for further “m6A quantity” analyses. “m6A quantity” was calculated for the m6A methylation amount based on the IP (Cy5-labelled) normalized intensities. Differentially m6A-methylated RNAs between two comparison groups were identified by filtering with the fold change and statistical significance (p-value) thresholds. Hierarchical Clustering was performed to show the distinguishable m6A-methylation pattern among samples.

2022-11-24 | GSE218412 | GEO

Arraystar Human m6A-mRNA&lncRNA Epitranscriptomic microarray analysis in adenomyosis and non-adenomyosis patients

Project description:Adenomyosis mostly occurs in the females with reproductive age, and the pathogenesis is not clear. If we want to improve the diagnosis and treatment of adenomyosis, we must fully understand the specific molecular mechanism of adenomyosis. The Arraystar Human m6a-mRNA&lncRNA Epitranscriptomic microarray analysis was performed on endometrial specimens of 3 patients in the human adenomyosis group and 3 patients in the normal control group to compare and screen the m6A marker of adenomyosis, providing reference for clinical treatment.

2022-10-06 | GSE214850 | GEO

Gene expression data from healthy controls and atopic dermatitis patients skin

Project description:We identified zinc-alpha-2-glycoprotein (ZAG), a 41-kDa adipokine that regulates body weight, lipid, and mobilization, as a novel biomarker for AD. ZAG levels were consistently decreased in sera, T cells, and skin in human AD patients compared with healthy controls. We used microarrays to obtain the data of expressions of ZAG between human healthy controls and atopic patients skin.

2019-01-06 | GSE124700 | GEO

m6A-mRNA&lncRNA Epitranscriptomic Microarray

Project description:m6A-mRNA&lncRNA Epitranscriptomic Microarray

| PRJNA774778 | ENA

m6A-mRNA&lncRNA Epitranscriptomic Microarray

Project description:Total RNA samples from human bronchial epithelial BEAS-2B passage-matched control cells and Cr(VI)-transofmred BEAS-2B cells were submitted to ArraySatr for total RNA m6A epitranscriptomic microarray analysis

2022-06-29 | GSE186605 | GEO

Arraystar Human m6A-mRNA & lncRNA Epitranscriptomic microarray analysis in lung adenocarcinoma patient's tissues and adjacent non-tumor tissues

Project description:Lung adenocarcinoma (LUAD) is the most common histological subtype of lung cancer and shows high morbidity and mortality rates as well as poor prognosis. However, there is still an urgent need to provide more effective biomarkers for the early diagnosis, prognosis and monitoring of LUAD. The Arraystar Human M6a-MRNA&lncRNA Epitranscriptomic microarray analysis was performed on six pairs of LUAD tissues and adjacent non-tumor tissues to compare and screen the M6a marker of LUAD, thus may offer a new avenue of targets and strategies for LUAD diagnosis and treatment.

2021-07-20 | GSE176348 | GEO

Atopic Dermatitis, Psoriasis and healthy control RNA-seq cohort

Project description:To gain a deeper understanding of the pathophysiology of AD, we conducted a large-scale transcriptomic study of AD with deeply-sequenced RNA-seq samples using long (125b) paired-end reads. By integrating deep sequencing-based skin transcriptome profiling with systems biology analysis, we are able to provide deep characterization for the expression signatures for AD, and by including psoriasis samples in the analysis, we can reveal the distinct molecular features of uninvolved and lesional skin of AD that have not been previously described.

2019-01-18 | GSE121212 | GEO

MicroRNA expression data from serum samples of adult atopic dermatitis and psoriasis patients and healthy controls

Project description:Atopic dermatitis (AD) and psoriasis vulgaris (PV) affect up to 3-5% of adults in developed countries and severely impair their quality of life thorough adulthood. MicroRNAs contribute to either the development or regulation of several diseases and are present in body fluids, such as serum or plasma, where their identification is of remarkable value as minimally invasive circulating markers of disease. Although several miRNAs have been associated with AD, to our knowledge, no serum miRNA profiling of adult European AD patients has been published to date and no comparison of AD and PV has been performed.

2023-01-03 | GSE162926 | GEO

MicroRNA expression data from skin samples of adult atopic dermatitis and psoriasis patients and healthy controls

Project description:Atopic dermatitis (AD) and psoriasis vulgaris (PV) affect up to 3-5% of adults in developed countries and severely impair their quality of life thorough adulthood. MicroRNAs contribute to either the development or regulation of several diseases and are present in tissue. Although several miRNAs have been associated with AD or PV, to our knowledge, scarce studies have been published to date of miRNA profiling comparing AD and PV patients.

2023-01-03 | GSE175438 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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