NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM796506 Query DataSets for GSM796506
Status Public on Mar 12, 2012
Title wildtype_wsn_2
Sample type RNA
 
Source name wildtype_2h infection with WSN
Organism Mus musculus
Characteristics strain background: BALB/c
genotype/variation: wild type
cell type: primary polarized airway epithelial cell cultures
Treatment protocol mAEC cultures derived from balb/c WT, IFNAR-/- and STAT1-/- mice were exposed to 2 x 105 PFU influenza WSN for 2 h or mock inoculated and harvested 24 h post infection.
Growth protocol Wild type balb/c mice were purchased from Harlan Laboratories, while balb/c IFNAR-/- mice and STAT1-/- mice were breed in house. All animals were maintained in BL2 containment under pathogen-free conditions. The Institutional Animal Care and Use Committee approved all the animal studies described in this work. Tracheal epithelial cell isolation and culture was performed as previously described (Rowe et al., 2004; You et al., 2002). Non-adherent cells were seeded onto 12mm 0.4 µM clear polyester membranes (Corning-Costar) previously coated with a collagen solution. After reaching confluence cells were incubated under ALI and when the transepithelial resistance was >1,000 W cm2 the basolateral media was replaced with fresh media every other day. Cultures were routinely used for experimentation 10-14 days post ALI.
Extracted molecule total RNA
Extraction protocol RNA was isolated from the AEC cultures after direct lysis of cells with TRIzol (Invitrogen) and application of the resulting aqueous phase to Qiagen RNeasy Mini Columns. 2 ug of total RNA was reversed transcribed in a 20 ul volume using Applied Biosystem’s high capacity reverse transcription Kit.
Label Cy3
Label protocol The concentration of the samples provided was determined using the NanoDrop® ND-1000 UV-Vis Spectrophotometer. RNA samples were analyzed by the FGC using an Agilent 2100 Bioanalyzer Lab-On-A-Chip Agilent 6000 Series II chip to determine the integrity of the samples. The RNA was of high quality and all samples passed our QC cutoff. Sample labeling and hybridization was performed according to the manufacturer’s protocols.
 
Hybridization protocol Hybridization was performed following the manufacturer's protocols
Scan protocol Microarray slides were hybridized overnight, washed and then scanned with Agilent G2505C Microarray Scanner. This high resolution scanner represents the very latest technology from Agilent for Arrays and features an industry-leading extended dynamic range of 106 (20-bits) for high sensitivity scanning without saturation, low-level detection resulting from optimized precision optics, broad dynamic range, minimal spectral cross talk that enables detection of weak features. The information about each probe on the array was extracted from the image data using Agilent Feature Extraction 10.5 (FE). This data is stored in the FE '.txt' files. The raw intensity values from these files is imported into the mathematical software package 'R', which is used for all data input, diagnostic plots, normalization and quality checking steps of the analysis process using scripts developed in-house by Peter White specifically for this analysis.
Description gene expression after 2h infection with WSN (harvested 24h after infection)
Data processing Preprocessing refers to the procedures used to convert raw probe intensities into useful gene expression measurements. For analysis of Agilent Expression data this process consists of : Reading in the FE extraction files and extraction the median intensity values for each probe on the array. These intensities are not background corrected (this has been shown to only introduce noise), but are corrected for any scanner offset that was added to the original raw values (see Analysis Log file for details). The dataset is filtered to remove positive control elements and any elements that have been flagged as outliers. Present (P), Marginal (M) or Absent (A) calls are made for each element on the array using in-house methodologies that take into account both the results of FE probe detection statistics and the intensities of the negative controls elements on the array. Data normalization is the process of removing unwanted non-biological variation that might exist between arrays in a microarray experiment. Sources of such variation might include scanner-setting differences, the quantities of mRNA hybridized, processing order and many other factors. Regardless of the normalization approach used, the underlying assumption of the normalization algorithm is that the number of genes changing expression between conditions is relatively small or that an equivalent number of genes increase and decrease in expression. Agilent One-Color Analysis: The median green (Cy3) intensities are normalized between the arrays using the Quantile Normalization package in 'R' (Bolstad et al., 2003). Quantile normalization is a non-linear probe-level normalization that results in the same empirical distribution of intensities for each array.This is a significantly more robust approach than simply normalizing to the median value of each array.The expression of each condition then was normalized to its respective control: wild type mAECs infected with WSN were normalized to wild type mock treated mAECs, IFNaR-/- mAECs infected with WSN were normalized to IFNaR-/- mock treated mAECs etc.
 
Submission date Sep 15, 2011
Last update date Mar 12, 2012
Contact name IOANNIS IOANNIDIS
E-mail(s) [email protected]
Phone 614-355-3038
Organization name NATIONWIDE CHILDRENS HOSPITAL
Department VACCINES AND IMMUNITY
Lab FLANO LAB
Street address 700 CHILDRENS DRIVE
City COLUMBUS
State/province OH
ZIP/Postal code 43220
Country USA
 
Platform ID GPL7202
Series (2)
GSE32137 The response of murine primary airway epithelial cells to Influenza infection and the importance of Interferon type I signaling in this response [mAEC].
GSE32140 The response of PBMCs and primary airway epithelial cells to Influenza and RSV virus

Data table header descriptions
ID_REF
VALUE Quantile normalized signal intensity

Data table
ID_REF VALUE
A_51_P454913 0.81605303
A_52_P311491 1.5879675
A_51_P323531 0.52275854
A_51_P183025 5.681128
A_52_P179250 0.3771275
A_52_P370935 0.8809196
A_52_P30065 0.8607173
A_51_P415029 1.1073424
A_51_P117881 1.2079799
A_52_P731333 1.0562229
A_51_P105709 1.0716256
A_51_P517672 1.3875177
A_51_P517182 0.73433226
A_51_P310196 1.2336111
A_51_P438924 1.2453394
A_51_P126643 0.96685386
A_52_P368214 0.72878206
A_52_P5905 0.43949866
A_51_P126647 0.81735444
A_52_P537887 0.23564713

Total number of rows: 41252

Table truncated, full table size 928 Kbytes.




Supplementary file Size Download File type/resource
GSM796506_US85103615_251486828449_S01_GE1_107_Sep09_1_1.txt.gz 2.1 Mb (ftp)(http) TXT
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap