Project description:The present dataset contains small non-coding RNA sequencing data from extracellular vesicles steadily released by donor matched, cultured human CD4+ and CD8+ T cells and from extracellular vesicles released within the immunological synapse. The dataset includes RNA sequencing files collected within two independent sequencing facilities. Control samples (S0) are included to correct the sequencing data from noise in the case of EVs released in the synapse (S1).
Project description:Naïve CD4+ T Cells are capable of differentiating into numerous T helper effector lineages depending on the provided local cytokines during activation. Cis-regulatory elements (CRE) are critical for cell differentiation, homeostasis, and function; however, CRE functional annotation (e.g. silencers, enhancers, and insulators) from existing genomic libraries remains an active need. Genome wide screens, including Transcribing Active Regulatory Region Sequencing (STARR-Seq) provides quantifies enhancer activity. However, these screens are mainly conducted in immortalized cell lines. Therefore, we have modified STARR-Seq using a non-integrating lentiviral transduction system (Lenti-STARR-seq) to investigate CRE in human CD4+ T cells. We identify and validate functional enhancers and negative regulatory elements (NRE). These elements differences stark differences in chromatin modification, TF binding, and nucleosome positioning. Additionally, STARR-Seq enhancers, but not NRE, exhibit transcription of enhancer RNA. Collectively these data suggest that Lenti-STARR-Seq may be a useful tool in the screening of primary human cell types for CRE function, and provides an atlas of functional CRE in human CD4+ T Cells.
Project description:An updated representation of S. meliloti metabolism that was manually-curated and encompasses information from 240 literature sources, which includes transposon-sequencing (Tn-seq) data and Phenotype MicroArray data for wild-type and mutant strains.
Project description:Panel-based next-generation sequencing data of 211 human CD4 T cells, CD8 T cells and genomic DNA. The panel was designed to capture 260 SNVs in high linkage disequilibrium with multiple sclerosis susceptibility SNVs. NGS was carried out using PE300 reads on the Illumina MiSeq (Illumina Inc., San Diego, CA, United States).
Project description:This dataset maps gene expression regulation in human primary regulatory CD4+ T cells (Tregs). It includes whole genome sequence data for ChM-seq (118 H3K4me3, 118 H3K27ac and 6 inputs), ATAC-seq (114 samples) and whole transcriptome (141 samples). All individuals were genotyped (130 samples) using coreExome Illumina SNP chip array. The final quality filtered set included 123 individuals with RNA-seq data, 73 with ATAC-seq, 91 with H3K27ac ChM-seq and 88 with H3K4me3 ChM-seq data. A total of 62 individuals had QCed data for all the assays.
