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Sample GSM3833311 Query DataSets for GSM3833311
Status Public on Apr 08, 2020
Title J-2-B2
Sample type SRA
 
Source name breast cancer cells SUM159
Organism Homo sapiens
Characteristics cell line: SUM159
treatment: JQ1
Treatment protocol Cells were grown in vitro in the presence of DMSO, JQ1 (100 nM), paclitaxel (0.6 nM), palbociclib (160 nM), JQ1+paclitaxel, or JQ1+palbociclib, in triplicates, for up to 18 passages. Mice were treated for up to 2 weeks with vehicle, JQ1 (30-50 mg/kg daily), palbociclib (75 mg/kg daily), paclitaxel (10 mg/kg twice weekly), JQ1+palbociclib, or JQ1+paclitaxel, or for 1 week with JQ1 followed by 1 week with paclitaxel, 1 week with paclitaxel followed by 1 week with JQ1, or 1 week with JQ1+paclitaxel followed by 1 week with vehicle, with 5 mice per group.
Growth protocol Cells were lentivirally infected with the ClonTracer barcode library (Bhang et al., 2015). Barcoded cells were passaged in vitro in the presence of drug or injected orthotopically into mammary fat pads of NOG mice to produce xenografts.
Extracted molecule genomic DNA
Extraction protocol DNA was extracted from frozen cultured cells and xenografts using the AllPrep DNA/RNA Mini Kit or the QIAamp DNA Mini Kit (Qiagen). Equal amounts of DNA were pooled from replicates for library construction.
DNA was fragmented to 250 bp (Covaris ultrasonication) and further purified using Agencourt AMPure XP beads. Size-selected DNA was ligated to sequencing adaptors with sample-specific barcodes using the KAPA Hyper Prep Kit. Libraries were pooled and sequenced on an Illumina MiSeq nano flow cell to estimate the library DNA concentration based on the number of barcode reads per sample. Libraries were pooled and captured using SureSelectXT Human All Exon v5 (Agilent) in 7 x 3-plex and 1 x 2-plex. Captures were performed using the SureSelectXT Reagent Kit (Agilent).
 
Library strategy OTHER
Library source genomic
Library selection other
Instrument model Illumina HiSeq 3000
 
Description experiment: JQ1+palbociclib in vitro
Data processing Library strategy: Exome-Seq
Alignment using Picard (http://broadinstitute.github.io/picard)
SNV calling using MuTect v1.1.4 (Cibulskis et al., 2013) and annotation using Varient Effect Predictor (VEP, McLaren et al., 2010). MuTect was run in paired mode pairing the tumor samples to the project normal, CEPH 1408.
Indel calling using GATK
Variant annotation using OncoAnnotate
CNV calling using RobustCNV. RobustCNV relies on localized changes in mapping depth of sequenced reads in order to identify changes in copy number. Observed values are normalized against the mapping depth in a panel of normals (PON) sampled with the same capture bait set. Normalized coverage data are then segmented using Circular Binary Segmentation (Olshen et al., 2004) with the DNAcopy Bioconductor package. Finally, segments are assigned gain, loss, or normal-copy calls using a cutoff derived from the within-segment standard deviation and a tuning parameter set based on comparisons to array-CGH calls in separate validation experiments.
Genome_build: b37
Supplementary_files_format_and_content: SNV and indel report contains variants with genomic coordinates, gene, DNA and protein change, allele fraction, coverage, and annotations from dbSNP, COSMIC, and gnomAD. CNV report contains gene level calls, with genomic coordinates and coverage levels, and chromosome arm-level calls.
 
Submission date May 30, 2019
Last update date Apr 08, 2020
Contact name Kornelia Polyak
E-mail(s) kornelia_polyak@dfci.harvard.edu
Phone 617-632-2106
Organization name Dana-Farber Cancer Institute
Department Medical Oncology
Lab Polyak
Street address 450 Brookline Ave
City Boston
State/province MA
ZIP/Postal code 02215
Country USA
 
Platform ID GPL21290
Series (2)
GSE131980 Acquired resistance to combined BET and CDK4/6 inhibition in triple-negative breast cancer [Exome]
GSE131986 Acquired resistance to combined BET and CDK4/6 inhibition in triple-negative breast cancer
Relations
BioSample SAMN11895354
SRA SRX5935769

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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