Autoantibody profile timecourse of UNK

ABSTRACT: We have determined the whole genome sequence of an individual at high accuracy and performed an integrated analysis of omics profiles over a 1.5 year period that included healthy and two virally infected states. Omics profiling of transcriptomes, proteomes, cytokines, metabolomes and autoantibodyomes from blood components have revealed extensive, dynamic and broad changes in diverse molecular components and biological pathways that occurred during healthy and disease states. Many changes were associated with allele- and edit-specific expression at the RNA and protein levels, which may contribute to personalized responses. Importantly, genomic information was also used to predict medical risks, including Type II Diabetes (T2D), whose onset was observed during the course of our study using s

ORGANISM(S): Homo sapiens

SUBMITTER: Hogune Im 

PROVIDER: E-GEOD-32691 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress