Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MicroRNA profiling of in vitro grass pollen extract (allergen) challenged CD4+T-cells against paired unchallenged controls from Seasonal Allergic Rhinitis patients


ABSTRACT: Differentiation of CD4+T-cells into effector subsets is a critical component of the adaptive immune system and an incorrect response can lead to autoimmunity or immune deficiency. Cellular differentiation including T-cell differentiation is accompanied by large-scale transcriptional changes, including expression of microRNAs involved in suppressing mRNA expression. We combined time-series microRNA and mRNA expression to construct a CD4+T-cell microRNA/mRNA regulatory network and identified 25 subnetworks (modules) which were associated with multiple T-cell related diseases. This dataset was designed to validate the disease association of the constructed microRNA/mRNA regulatory network and identified modules. Matching mRNA expression profiling was originally submitted to NCBI Gene Expres

INSTRUMENT(S): Agilent G2565CA

ORGANISM(S): Homo sapiens

SUBMITTER: Antonio Lentini 

PROVIDER: E-MTAB-4900 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress