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SRX3734619: GSM3020383: ATAC-seq on PBMCs from patient CLL8 on day 0 of ibrutinib treatment, CD8 cells; Homo sapiens; ATAC-seq
1 ILLUMINA (Illumina HiSeq 4000) run: 33.2M spots, 1.7G bases, 602.3Mb downloads

Submitted by: NCBI (GEO)
Study: Chromatin mapping and single-cell immune profiling defines the temporal dynamics of ibrutinib drug response in chronic lymphocytic leukemia [ATAC-seq]
show Abstracthide Abstract
Chronic lymphocytic leukemia (CLL) is a genetically, epigenetically, and clinically heterogeneous disease. Despite this heterogeneity, the Bruton tyrosine kinase (BTK) inhibitor ibrutinib provides effective treatment for the vast majority of CLL patients. To define the underlining regulatory program, we analyzed high-resolution time courses of ibrutinib treatment in closely monitored patients, combining cellular phenotyping (flow cytometry), single-cell transcriptome profiling (scRNA-seq), and chromatin mapping (ATAC-seq). We identified a consistent regulatory program shared across all patients, which was further validated by an independent CLL cohort. In CLL cells, this program starts with a sharp decrease of NF-?B binding, followed by reduced regulatory activity of lineage-defining transcription factors (including PAX5 and IRF4) and erosion of CLL cell identity, finally leading to the acquisition of a quiescence-like gene signature which was shared across several immune cell types. Nevertheless, we observed patient-to-patient variation in the speed of its execution, which we exploited to predict patient-specific dynamics in the response to ibrutinib based on pre-treatment samples. In aggregate, our study describes the cellular, molecular, and regulatory effects of therapeutic B cell receptor inhibition in CLL at high temporal resolution, and it establishes a broadly applicable method for epigenome/transcriptome-based treatment monitoring. Overall design: 176 ATAC-seq samples of primary immune cell types from chronic lymphocytic leukemia patients and normal donors
Sample: ATAC-seq on PBMCs from patient CLL8 on day 0 of ibrutinib treatment, CD8 cells
SAMN08581392 • SRS2991632 • All experiments • All runs
Organism: Homo sapiens
Library:
Instrument: Illumina HiSeq 4000
Strategy: ATAC-seq
Source: GENOMIC
Selection: other
Layout: SINGLE
Construction protocol: Patient PBMCs were thawed and washed twice with PBS containing 0.1% BSA and 5 mM EDTA (PBS + BSA + EDTA). Cells were then incubated with anti-CD16/CD32 (clone 93, Biolegend) to prevent nonspecific binding. Single-cell suspensions were stained with combinations of antibodies against CD3 (clone UCHT1), CD4 (clone OKT4), CD5 (clone UCHT2), CD8 (clone SK1), CD14 (clone M5E2), CD19 (clone HIB19), CD20 (clone 2H7), CD24 (clone ML5), CD25 (clone BC96), CD27 (clone O323), CD38 (clone HB-7), CD45RA (clone HI100), CD45RO (clone 304218), CD56 (clone NCAM16.2), CD127 (clone A019D5), CD197 (CCR7, clone G043H7), CD223 (LAG3, clone 11C3C65), CD279 (PD-1, clone EH12.2H7), CD366 (Tim3, clone F38-2E2) and DAPI viability dye (all from Biolegend) for 30 min at 4 °C followed by two washes with PBS + BSA + EDTA. Cells were either acquired with a LSRFortessa (BD) cell analyzer or sort-purified with a MoFlo Astrois (Beckman Coulter). Data analysis was performed with FlowJo (Tree Star) software. We obtained whole blood from three healthy donors with informed consent, and isolated PBMCs through Ficoll-Paque density gradient centrifugation and stored them in liquid nitrogen. Following sample thawing, up to ten million cells were incubated with anti-CD16/CD32 (clone 93, Biolegend) to prevent nonspecific binding. Single-cell suspensions were stained with antibodies against CD3 (clone UCTH1), CD4 (clone OKT4), CD8 (clone SK1), CD19 (clone HIB19), CD20 (clone 2H7), CD24 (clone ML5), CD27 (clone M-T271), CD38 (clone HB-7), IgD (clone 1A6-2) and fixable Zombie Red viability dye (all from BioLegend) for 30 min at 4 °C followed by two washes with PBS + BSA + EDTA. Sorting was conducted using a Sony SH800 cell sorter, pre-gated on live singlet lymphocytes before sorting cell subpopulations as follows: T cell (CD3+), total B cell (CD19+, CD20+), naive B cell (CD27-, IgD+), natural effector B cell (CD27+, IgD+), and memory B cell (CD27+, IgD-). Chromatin accessibility mapping was performed using the ATAC-seq method as previously described (Corces et al, Nature Genetics, 2016), with minor adaptations. In each experiment, a maximum of 50,000 sorted cells were pelleted by centrifuging for 5 min at 4 °C at 300 x g. After centrifugation, the pellet was carefully resuspended in the transposase reaction mix (12.5 µl 2xTD buffer, 2 µl TDE1 (Illumina) and 10.25 µl nuclease-free water, 0.25 µl 5% Digitonin (Sigma)) for 30 min at 37 °C. Following DNA purification with the MinElute kit eluting in 11 µl, 1 µl of the eluted DNA was used in a quantitative PCR (qPCR) reaction to estimate the optimum number of amplification cycles. Library amplification was followed by SPRI size selection to exclude fragments larger than 1,200 bp. DNA concentration was measured with a Qubit fluorometer (Life Technologies). Library amplification was performed using custom Nextera primers (Buenrostro et al, Nature Methods 2013). The libraries were sequenced by the Biomedical Sequencing Facility at CeMM using the Illumina HiSeq 4000 platform and the 50-bp single-end configuration.
Experiment attributes:
GEO Accession: GSM3020383
Links:
Runs: 1 run, 33.2M spots, 1.7G bases, 602.3Mb
Run# of Spots# of BasesSizePublished
SRR676296533,222,7601.7G602.3Mb2019-02-22

ID:
5151241

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