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Status |
Public on Apr 15, 2019 |
Title |
tetogfp_omptta_RNASeq_rep1 |
Sample type |
SRA |
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Source name |
mOSNs
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Organism |
Mus musculus |
Characteristics |
cell type: mOSNs genotype: tetogfp;omptta chip antibody: N/A
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Growth protocol |
HEK293T cells were purchased from ATCC and cultured in DMEM supplemented with 10% (vol/vol) FBS, 1X GlutaMax, 1mM sodium pyruvate, 1X non-essential amino acids, 1% penicillin-streptomycin. Cells were maintained at 37°C in a 5% (vol/vol) CO2 incubator.
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Extracted molecule |
total RNA |
Extraction protocol |
Mice were sacrificed using CO2 followed by cervical dislocation. The main olfactory epithelium (MOE) was dissected and transferred to ice-cold PBS. The MOE was cut in to small pieces with a razor blade, and then dissociated with a papain dissociation system (Worthington Biochemical). For RNA-seq, dissociated cells were washed once with sort media (PBS + 2% Fetal Bovine Serum) and then resuspended in sort media supplemented with 100 U/mL DNase I (Worthington Biochemical), 4mM MgCl2, and 500ng/mL DAPI (Invitrogen). For Crosslinked-ChIP samples, cells were fixed prior to sorting. For fixation, dissociated cells were resuspended in PBS + 1% methanol-free formaldehyde (Pierce). Cells were fixed at room temperature for 5 minutes, and then fixation was quenched by adding 1/10th volume of 1.25M glycine. Fixed cells were pelleted (500 rcf, 5 minutes, room temperature), washed once with PBS + 2% FBS, and then resuspended in sort media. All cells were passed through a 40uM cell strainer prior to sorting.
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Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
NextSeq 550 |
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Description |
RNA-Seq, Paired End
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Data processing |
Adapter Sequences were trimmed with cutadapt (v1.9.1) (--minimum-length 18) Alignment: All mouse samples were aligned to mm10, human samples aligned to hg19. For paired-end data sets, only read 1 was used for alignment and downstream analysis. Crosslinked ChIP-Seq samples were aligned with Bowtie2 (2.3.2) with default parameters. RNA-seq samples were aligned with STAR (v2.5.3a) with the following parameters: --outFilterIntronMotifs RemoveNoncanonical --outFilterType BySJout --outFilterMultimapNmax 20 Filtering: Unmapped reads and reads with a mapping quality below 30 were removed with Samtools (1.3.1). For ChIP-seq, duplicate reads were marked with Picard and removed with samtools. For ChIP-Seq, bigWig files were generated using HOMER (4.7) (-fsize 1e20 -fragLength given). For RNA-Seq, bigWig files were generated with RSeQC (2.6.4). Genome_build: mm10 Supplementary_files_format_and_content: bigWig files at base pair resolution normalized to a library size of 10,000,000 reads
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Submission date |
Dec 14, 2018 |
Last update date |
Apr 15, 2019 |
Contact name |
Daniele Canzio |
Organization name |
University of California San Francisco
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Department |
Neurology
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Street address |
555 Mission Bay Boulevard South
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City |
San Francisco |
State/province |
CA |
ZIP/Postal code |
94158 |
Country |
USA |
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Platform ID |
GPL21626 |
Series (1) |
GSE115862 |
Antisense lncRNA transcription mediates DNA demethylation to drive stochastic Protocadherin α promoter choice |
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Relations |
BioSample |
SAMN10594152 |
SRA |
SRX5131371 |
Supplementary file |
Size |
Download |
File type/resource |
GSM3514549_tetogfp_omptta_RNASeq_rep1.neg.bw |
73.0 Mb |
(ftp)(http) |
BW |
GSM3514549_tetogfp_omptta_RNASeq_rep1.pos.bw |
73.6 Mb |
(ftp)(http) |
BW |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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