Project description:We analyzed the total proteome of CD4+ T cells isolated from WT mice, either non stimulated or at 5 different time points of stimulation with anti-CD3 and anti-CD4 antibodies (30s; 120s; 300s; 600s)
Project description:CD4+ T cells (T helper cells) are cytokine-producing adaptive immune cells that activate or regulate the responses of different immune cells. They are known to play crucial roles in antibody class switching in B cells, neutrophil recruitment and activation of macrophages and CD8+ cytotoxic T cells. The activation and functional status of CD4+ T cells is important for adequate responses to pathogen infections but has also been associated with auto-immune disorders and survival in several cancers. In the current study, we carried out proteomic profiling of resting and activated primary human CD4+ T cells from healthy donors. In addition to identifying known markers of CD4+ T cell activation, we also identified protein kinases, protein phosphatases, and cytokines to be differentially expressed.
Project description:Technological advances in genomics, epigenomics, transcriptomics and proteomics have enabled massively parallel measurements across thousands of genes and gene products. Such high-throughput technologies have been extensively used to carry out genome-wide studies particularly in the context of diseases. Nevertheless, a unified analysis of the genome, epigenome, transcriptome, and proteome of a single mammalian cell type to obtain a coherent view of the complex interplay between omes has not yet been undertaken. Here, we report the first multi-omic analysis of human primary naïve CD4+ T cells, revealing hundreds of unannotated mRNA transcripts, miRNAs, pseudogenes, and noncoding RNAs. Additionally, we carried out a comparative analysis of naïve CD4+ T cells with primary resting memory CD4+ T cells, which have provided novel insights into T cell biology. Overall, our data will serve as a baseline reference of a single pure population of cells for future systems level analysis of other defined cell populations.
Project description:To identify Dleu2-17aa micropeptide interacting proteins in CD4+ T cells, we performed pull-down assays fllowed by LC-MS using biotin-labeled Dleu2-17aa. As controls, we included the unlabeled free Dleu2-17aa and a biotin-only group. Pull-downs were carried out in both primary mouse CD4+ T cells and the EL4 T cell line.
