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Sample GSM5262096 Query DataSets for GSM5262096
Status Public on Apr 24, 2021
Title PBS_mouse1_local (gDNA)
Sample type SRA
 
Source name Tibialis anterior muscule
Organism Mus musculus
Characteristics tissue: Tibialis anterior muscule
aav-donor: PBS
aav ratio: n/a
injection route: local intramuscular TA
tn5 gsp: g12
Extracted molecule genomic DNA
Extraction protocol Tissue was extracted from euthanized mice. Genomic DNA was isolated using the DNeasy kit (Qiagen) according to the manufacturer’s protocol. Total RNA was isolated using QIAshredder and RNeasy Plus kits (Qiagen). First-strand cDNA synthesis was performed using 500 ng total RNA per sample using the SuperScript VILO Reverse Transcription Kit (Invitrogen) and second-strand synthesis was performed using Klenow fragment DNA polymerase (NEB).
Tagmentation of 200 ng genomic DNA or second-strand products was performed using a 1:40 dilution of assembled Tn5. To enrich the targeted sequence, first round PCR using a genome specific primer was used with a reverse primer specific for the i7 adapter sequence inserted by the transposon. Second round PCR using a barcode primer specific for the custom adapter sequence was used to add 6-nucleotide experimental barcodes and the Illumina i5 adapter was used with the Tn5-Universal reverse primer.
Tn5-based tagmentation with target enrichment.
 
Library strategy OTHER
Library source genomic
Library selection other
Instrument model Illumina NovaSeq 6000
 
Description PBS_m1_local
Data processing Trim. The reads were trimmed for sequencing adapters and low-quality bases using Trimmomatic (v0.33).
Alignment and deduplication. Alignment of the trimmed reads was done using bwa-mem (v0.7.12) to the reference genomes (gDNA aligned to mouse genome GRCm38 + human DMD; cDNA aligned to human dystrophin cDNA). Aligned reads were tagged with their UMI using fgbio (v0.8.1) AnnotateBamWithUmis, and PCR duplicates were marked using Picard (v2.14.0) MarkDuplicates based on the UMI tag.
Alignment to reference bin sequences. Reference amplicons were built to align to the targeted locus and expected edits. To remove reads that are due to false priming, reads that do not contain the 20 bases directly adjacent to the GSP expected sequence were filtered out. To remove reads that do not extend far enough past the edit site, reads that are shorter than the required minimum length for binning were filtered out. On-site deduplicated reads were aligned to reference amplicons using bwa-mem (v0.7.12). Aligned reads were analyzed and binned based on editing outcomes using a custom-built script using python3 (https://github.com/siyansusan/DMD_integration_analysis.git). Reads that contain an indel ±15bp at the expected cute site or junction were identified. The number of distinct UMIs were counted for each edit to quantify frequency of editing events.
Genome_build: GRCm38 + human DMD
Supplementary_files_format_and_content: BAM file (curated and represents the collection of usable reads) for each sample. Manuscript methods include a link to github for access to analysis pipeline scripts; GEO users may find it useful to use the bam files to repeat analysis methods.
Supplementary_files_format_and_content: Matrix table with bin counts for every editing outcome and every sample
 
Submission date Apr 23, 2021
Last update date Apr 25, 2021
Contact name Adrian Oliver
E-mail(s) adrian.pickar@duke.edu, adrian.pickar@gmail.com
Phone 3016066963
Organization name Duke University
Street address 101 Science Drive, CIEMAS Rm. 2323
City Durham
State/province North Carolina
ZIP/Postal code 27708
Country USA
 
Platform ID GPL24247
Series (1)
GSE173224 Full-length dystrophin restoration via targeted genomic integration by AAV-CRISPR in a humanized mouse model of Duchenne muscular dystrophy
Relations
BioSample SAMN18849748
SRA SRX10666407

Supplementary file Size Download File type/resource
GSM5262096_PBS_m1_local.bam 117.3 Kb (ftp)(http) BAM
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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