ATAC-seq of purified immune cell populations
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ABSTRACT:
PROVIDER: PRJNA515467 | ENA |
REPOSITORIES: ENA
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Project description:The goal of the experiment was to understand the epigenetic effects of PU.1 haploinsufficiency on pro-B cells. The RS4:11 cell line was edited both mono and biallelicaly via electroporation of Cas9 and guides. Following editing, aliquots of unedited (SPI1 +/+), mono (SPI1 +/-) and biallellicaly edited (SPI1 -/-) cells were lysed before undergoing the transposition reaction. After transposition, the ATAC-seq libraries were purified and then amplified via PCR. Libraries were sequenced using the Illumina Novaseq platform.
2021-03-24 | E-MTAB-8676 | biostudies-arrayexpress
Project description:T cells create vast amounts of diversity in the genes that encode their T cell receptors (TCRs), which enables individual clones to recognize specific peptide-major histocompatibility complex (MHC) ligands. Here we combined sequencing of the TCR-encoding genes with assay for transposase-accessible chromatin with sequencing (ATAC-seq) analysis at the single-cell level to provide information on the TCR specificity and epigenomic state of individual T cells. By using this approach, termed transcript-indexed ATAC-seq (T-ATAC-seq), we identified epigenomic signatures in immortalized leukemic T cells, primary human T cells from healthy volunteers and primary leukemic T cells from patient samples. In peripheral blood CD4+ T cells from healthy individuals, we identified cis and trans regulators of naive and memory T cell states and found substantial heterogeneity in surface-marker-defined T cell populations. In patients with a leukemic form of cutaneous T cell lymphoma, T-ATAC-seq enabled identification of leukemic and nonleukemic regulatory pathways in T cells from the same individual by allowing separation of the signals that arose from the malignant clone from the background T cell noise. Thus, T-ATAC-seq is a new tool that enables analysis of epigenomic landscapes in clonal T cells and should be valuable for studies of T cell malignancy, immunity and immunotherapy.
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Project description:ATAC-seq was performed, mapped, and analyzed as previously described (PMID: 34446717: \\"ATAC-seq was performed on 50,000 cells per replicate as described in Buenrostro et al. (with modifications based on Corces et al.), on EpiSCs and PSM-differentiated cell populations at desired time-points. Libraries were generated using the Ad1_noMX and Ad2.1–2.16 barcoded primers64 and amplified for 10 total PCR cycles. Libraries were purified with AMPure XP beads to remove contaminating primer dimers and fragments >1,000 bp. Library quality was assessed using the Fragment analyzer and quantitated by Qubit assay. The libraries were sequenced with 50 bp paired-end reads on a Next-Seq 500 Sequencer (Illumina) at the DanStem Genomics Platform (University of Copenhagen, Copenhagen, Denmark).\\"). For all conditions, two biological replicate samples were collected from independent experiments. Library quality was assessed using the Fragment Analyzer and quantitated by Qubit assay. The libraries were sequenced with 50 bp paired-end reads on a NextSeq 500 Sequencer (Illumina) at the DanStem/reNEW Genomics Platform (University of Copenhagen, Copenhagen, Denmark). Prediction of cis-regulatory elements (CREs) and gene annotation was done using rGREAT (v4.0.4) [PMID: 20436461],[PMID: 36040971] or HOMER (v.4.7)[PMID: 20513432]
2023-12-01 | E-MTAB-13407 | biostudies-arrayexpress
Project description:Single-cell ATAC-seq detects open chromatin in individual cells. Currently data are sparse, but combining information from many single cells can identify determinants of cell-to-cell chromatin variation.
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Project description:Immunological Genome Project chromatin accessibility maps for 86 different immunocytes (ATAC-seq). Immune cell populations were isolated in high-purity by flow cytometry.
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2013-01-17 | GSE39396 | GEO