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Status |
Public on Mar 21, 2023 |
Title |
WT A549, MOCK, 1dpi,3 |
Sample type |
SRA |
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Source name |
A549
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Organism |
Homo sapiens |
Characteristics |
cell line: A549 cell type: lung carcinoma epithelial cells genotype: WT treatment: Mock --- 1 dpi
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Extracted molecule |
total RNA |
Extraction protocol |
Trizol phenol chloroform or Qiagen Rneasy kit Poly-A enrichment and TruSeq stranded OR TruSeq stranded Total RNA with RiboZero Gold
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Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina NovaSeq 6000 |
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Description |
TruSeq stranded total RNA, with RiboZero Gold
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Data processing |
Base calling and sample deconvolution performed via Illumina BaseSpace Host reads aligned to Homo sapiens HG19 reference genome assembly and quantified using Salmon as made available in Illumina BaseSpace "RNA-Seq Alignment" application Viral reads were aligned to viral reference genome via Bowtie 2 using custom app on illumina basespace, Integrative Genomics Viewer (IGV) 2.15.2 was then used to generate a .csv files comparing individual base calls per aligned read to each nucleotide in the reference sequence Assembly: hg19 Supplementary files format and content: .quant.genes.sf Salmon files (show raw and normalized read counts by gene) Supplementary files format and content: .csv files show the read count for individual base calls compared to the viral reference sequence
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Submission date |
Mar 17, 2023 |
Last update date |
Mar 22, 2023 |
Contact name |
Skyler Andrew Uhl |
E-mail(s) |
skyleruhl@gmail.com
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Organization name |
Icahn School of Medicine at Mount Sinai
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Department |
Microbiology
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Lab |
Lim & tenOever labs
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Street address |
1 Gustave L. levy Pl.
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City |
New York |
State/province |
New York |
ZIP/Postal code |
10029 |
Country |
USA |
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Platform ID |
GPL24676 |
Series (1) |
GSE227592 |
ADAR1 biology can hinder effective antiviral RNA interference |
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Relations |
BioSample |
SAMN33799961 |
SRA |
SRX19713145 |
Supplementary file |
Size |
Download |
File type/resource |
GSM7103646_SU-3.quant.genes.sf.gz |
391.0 Kb |
(ftp)(http) |
SF |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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