Project description:In this study, Genome-wide transcriptomes of CD8+ T cells from HCV/HIV co-infected or mono-infected treatment-naive individuals were analyzed by using microarray assays. Pairwise comparisons were performed and differentially expressed genes were identified followed by quantitative real time PCR (qRT-PCR) validation. To identify the important functional categories, Directed Acyclic Graphs (DAG) from Web-based Gene SeT AnaLysis Toolkit (WebGestalt) was used to find out Gene Ontology (GO) categories with significantly enriched gene numbers. The enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were also obtained by using the similar methods in the same website.
Project description:An integrated discovery to targeted proteomics approach was used to investigate the protein profiles of good and non–responders to anti-TNF-alpha and T-cell inhibitor treatments in PsA patients. Reverse phase liquid chromatography coupled to tandem mass spectrometry was used to generate protein profiles of synovial tissue obtained at baseline from 10 PsA patients who then commenced anti-TNF-alpha therapy (adalimumab). Targeted proteomics using multiple reaction monitoring was used to confirm and pre-validate a potential protein biomarker panel in 18 and 7 PsA patient samples respectively.
Project description:HLA-C expresion varies widely across the different HLA-C alleles. MicroRNA binding can partly explain the differences in HLA-C allele expression however other contributing factors still remain undetermined. Here we use two common HLA-C alleles, HLA-C*05:01 and HLA-C*07:02, to explore differences in expression levels. Using functional, structural and peptide repertoire comparisons we demonstrate that HLA-C expression levels are not only modulated at the RNA level but also at the protein level. This dataset contains RAW data and database search results for HLA-C*05:01 and HLA-C*07:02 from the 721.221 cell line.