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SRX15442079: GSM6189447: ATAC_T8_STAT1BB_H_H_BSMJ002; Mus musculus; ATAC-seq
1 ILLUMINA (Illumina HiSeq 4000) run: 17.2M spots, 869.3M bases, 159.7Mb downloads

External Id: GSM6189447_r1
Submitted by: CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences
Study: JAK-STAT pathways maintain homeostasis in immune cells (ATAC-Seq)
show Abstracthide Abstract
Immune cells need to sustain a state of constant alertness over a lifetime. Yet, little is known about the regulatory processes that control the fluent and fragile balance that is called homeostasis. Here we demonstrate that JAK-STAT signaling, beyond its role in immune responses, is a major regulator of immune cell homeostasis. We investigated JAK-STAT-mediated transcription and chromatin accessibility across 12 mouse models, including knockouts of all STAT transcription factors and of the TYK2 kinase. Baseline JAK-STAT signaling was detected in CD8+ T cells and macrophages of unperturbed mice – but abrogated in the knockouts and in unstimulated immune cells deprived of their normal tissue context. We observed diverse transcription-regulatory programs, including gene regulation by STAT2 and IRF9 independent of STAT1. In summary, our large-scale dataset and integrative analysis of JAK-STAT mutant and wildtype mice uncovered a crucial role of JAK-STAT signaling in unstimulated immune cells, where it contributes to a poised epigenetic and transcription-regulatory state and helps prepare these cells for rapid response to immune stimuli. Overall design: 496 ATAC-seq samples of spleen-derived immune cells with mutations of JAK-STAT signaling components
Sample: ATAC_T8_STAT1BB_H_H_BSMJ002
SAMN28642293 • SRS13163359 • All experiments • All runs
Organism: Mus musculus
Library:
Name: GSM6189447
Instrument: Illumina HiSeq 4000
Strategy: ATAC-seq
Source: GENOMIC
Selection: other
Layout: SINGLE
Construction protocol: Chromatin accessibility mapping by ATAC-seq was performed as previously described (Buenrostro et al., 2013; Corces et al., 2016), with minor adaptations. After centrifugation, the pellet was carefully resuspended in the transposase reaction mix (12.5µl 2xTD buffer, 2µl TDE1 (Illumina), 10.25µl nuclease-free water, and 0.125µL 10% NP-40 (Sigma) for macrophages and dendritic cells or 0.25µl 1% digitonin (Promega) for all other cell types) for 30 min at 37 °C. Following DNA purification with the MinElute kit eluting in 11µl, 1µl of the eluted DNA was used in a quantitative PCR reaction to estimate the optimum number of amplification cycles. The remaining 10μl of each library were amplified for the number of cycles corresponding to the Cq value from the qPCR (i.e., the cycle number at which fluorescence has increased above background levels, rounded down). Library amplification was followed by SPRI beads (Beckman Coulter) size selection to exclude fragments larger than 1,200bp. DNA concentration was measured with a Qubit fluorometer (Life Technologies). Library amplification was performed using custom Nextera primers (Buenrostro et al., 2013). The libraries were sequenced by the Biomedical Sequencing Facility at CeMM using the Illumina HiSeq 3000/4000 platform and the 50bp single-end configuration.
Runs: 1 run, 17.2M spots, 869.3M bases, 159.7Mb
Run# of Spots# of BasesSizePublished
SRR1938727117,203,710869.3M159.7Mb2024-02-24

ID:
21996041

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