 |
 |
GEO help: Mouse over screen elements for information. |
|
| Status |
Public on Nov 28, 2018 |
| Title |
Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomesof Wild Type , RIG-I-/-, MAVS -/- mice during influenza infection |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Purpose: The goals of this study are to compare Next-generation sequencing (NGS)-derived transcriptome profiling (RNA-seq) in the lung of three tyeps of mice during influenza infection.
Methods: Total RNA from lung was extracted using a modified TRIzol protocol and spectrophometrically quantitated. Library preparation and sequencing were conducted using 3’ inTAG next-generation sequencing . Differential gene expression for day 6 post influenza infection was determined relative to mock inoculated mice.
Results: Differentially expressed genes were defined using p-value <0.01 and FDR-corrected p-value <0.1 cutoffs. We identified the transcripts in the lung of RIG-I-/-, MAVS -/- mice during influenza infection
Our study represents the first detailed analysis of lung transcriptomes of Wild Type , RIG-I-/-, MAVS -/- mice during influenza infection , with biologic replicates, generated by RNA-seq technology.
|
| |
|
| Overall design |
Lung tissue mRNA profiles of influenza infected wild type (WT), RIG-I-/-, MAVS -/- mice at day 6 were generated by deep sequencing, n=6.
|
| |
|
| Contributor(s) |
Wu W, Wang X, Zhang W, Tian L, Booth JL, Duggan E, More S, Liu L, Dozmorov M, Metcalf J |
| Citation(s) |
30532653 |
| |
| Submission date |
May 09, 2018 |
| Last update date |
Mar 25, 2019 |
| Contact name |
Mikhail Dozmorov |
| E-mail(s) |
[email protected]
|
| Organization name |
Virginia Commonwealth University
|
| Department |
Biostatistics
|
| Street address |
830 E Main St
|
| City |
Richmond |
| State/province |
VA |
| ZIP/Postal code |
23298 |
| Country |
USA |
| |
|
| Platforms (1) |
| GPL19057 |
Illumina NextSeq 500 (Mus musculus) |
|
| Samples (36)
|
|
| Relations |
| BioProject |
PRJNA470625 |
| SRA |
SRP145067 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE114232_counts.txt.gz |
3.6 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
|
|
|
|
 |
Less...
More...