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Status |
Public on Jul 17, 2014 |
Title |
ChIP-Seq of Atf3 Unstim BMDM (Atf3 +/+) |
Sample type |
SRA |
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Source name |
Atf3_Unstim_wildtype
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Organism |
Mus musculus |
Characteristics |
strain background: C57BL/6 genotype/variation: Atf3 +/+ cell type: bone marrow derived macrophage treated with: none chip antibody: rabbit polyclonal anti-Atf3 antibody chip antibody vendor: Santa Cruz chip antibody cat. #: C-19X
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Treatment protocol |
BMDMs were pretreated with medium alone (ctrl) or 2 mg/ml HDL for 6 h or 2 mg/ml HDL for 6 h followed by stimulation with 100 nM CpG for 4 h
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Growth protocol |
BMDMs were obtained by culturing bone marrow cells from 6- to 8-week old WT C57BL/6 mice in DMEM supplemented with 10% (vol/vol) FCS, 10 μg/ml Ciprobay-500 and 40 ng/ml M-CSF (R&D Systems). Six days later, BMDMs were collected and plated. Age- and sex-matched WT control mice were used to derive BMDMs for comparative experiments with Atf3-deficient BMDMs. Immortalized BMDMs were cultured in DMEM supplemented with 10% FCS and 10 μg/ml Ciprobay-500 (D. De Nardo et al.; Nature Immunology 2013)
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Extracted molecule |
genomic DNA |
Extraction protocol |
ChIP for Atf3 was performed using the EZ-Magna ChIP G Kit (Millipore) according to the manufacturer's instructions. In brief, three biological replicates of BMDMs from WT and Atf3-deficient mice were treated with HDL, CpG, HDL then CpG or left untreated. Cells were then cross-linked with 1% paraformaldehyde, before they were lysed and chromatin was sheared by sonication for 30 min with the Covaris S220. Immunoprecipitation was performed over night at 4 °C using 2.5 μg of rabbit polyclonal anti-Atf3 antibody (C-19X, Santa Cruz). After washing, eluted samples were reverse cross-linked and treated with RNase A and proteinase K per the manufacturer's recommendations. ChIP fragments were ligated to NEXTflex ChIP-Seq barcode adaptors using the NEXTflex ChIP-Seq Kit (both BioO Scientific). Adaptor ligated DNA fragments were size-selected (150–250 bp), PCR-amplified, further size selected (150–250 bp), pooled and sequenced on an Illumina HiSeq-1000 sequencer according to the manufacturer's instructions.
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Library strategy |
ChIP-Seq |
Library source |
genomic |
Library selection |
ChIP |
Instrument model |
Illumina HiSeq 1000 |
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Description |
processed data file: Atf3_Unstim_KOIN_corrected_MACS_peaks_annot.txt, Atf3_Unstim_wildtype_MACS_peaks_annot.txt
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Data processing |
Basecalls performed using CASAVA software version 1.8 ChIP-seq reads were aligned to the NCBI Build 37 (mm9) genome assembly using Bowtie v0.12.8 with following options: -t -q -e 70 -l 28 -n 2 --best --maxbts 125 -S After ChIP-seq quality control using HOMER v4.3, reads of biological replicates were pooled, and peaks were called using MACS v1.4.2 without Atf3-deficient BMDMs (standard method) or with Atf3-deficient dataset (KO implemented normalization = KOIN) set as background with following options: -p 1e-4 -g 1.87e9 --on-auto Annotation of peak positions and counting of normalized Atf3 tag counts in called regions was performed with HOMER v4.3 (annotatePeaks). Peak regions with less than 2 fold change for normalized tag counts in Atf3 +/+ dataset to Atf3 -/- dataset were filtered out. Genome_build: mm9 Supplementary_files_format_and_content: Annotated MACS peak positions in tab-delimited text format
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Submission date |
Feb 25, 2014 |
Last update date |
May 15, 2019 |
Contact name |
Joachim Schultze |
E-mail(s) |
j.schultze@uni-bonn.de
|
Organization name |
LIMES (Life and Medical Sciences Center Genomics and Immunoregulation)
|
Department |
Genomics and Immunoregulation
|
Street address |
Carl-Troll-Strasse 31
|
City |
Bonn |
State/province |
NRW |
ZIP/Postal code |
53115 |
Country |
Germany |
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Platform ID |
GPL15103 |
Series (1) |
GSE55317 |
Optimization of transcription factor binding map accuracy by utilizing their knockout-mouse models |
|
Relations |
BioSample |
SAMN02664582 |
SRA |
SRX475801 |