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Sample GSM285551 Query DataSets for GSM285551
Status Public on May 01, 2008
Title ES 129.3 Passage12 LIF+
Sample type RNA
 
Channel 1
Source name ES
Organism Mus musculus
Characteristics embryonic stem cell
Strain: 129SvEv-Tac
Gender: male
Individual Identifier: 251279910099
Extracted molecule total RNA
Extraction protocol One ml of TrizolTM (Invitrogen) was added to 1 well. Total RNA was extracted using Phase lock gelTM (Eppendorf) columns according to manufacturer protocol. RNA was precipitated with isopropanol, washed with 70% ethanol and dissolved in 30 ul of DEPC dH2O.
Label Cy3
Label protocol Total RNA was labeled using Agilents Fluorescent Linear Amplification kit, according to manufacturers instructions (Product Number G2554A or P/N G2556-66002, Version 3.0, June 2002).
 
Channel 2
Source name Universal Mouse Reference RNA
Organism Mus musculus
Characteristics Universale Mouse Reference
Extracted molecule total RNA
Extraction protocol Total RNA was extracted from cultured cells using a Stratagene Absolutely RNA kit. DNase-treated total RNA samples from 11 cultured cell lines derived from embryo, embryo fibroblast, kidney, liver/hepatocyte, lung/alveolar macrophage, B-lymphocyte, T-lymphocyte (thymus), mammary gland, muscle myoblast, skin, and testis were pooled in equal parts
Label Cy5
Label protocol Total RNA was labeled using Agilents Fluorescent Linear Amplification kit, according to manufacturers instructions (Product Number G2554A or P/N G2556-66002, Version 3.0, June 2002).
 
 
Hybridization protocol Agilent 60-mer oligo microarray processing protocol (SSC Wash/SureHyb Chamber set-up) V4.1, April 2004. Agilent Publication Number: G4140-90030 V4.1 APRIL 2004.
Scan protocol Slides were scanned with an Agilent DNA Microarray Scanner model G2505-64120 at 100% PMT in both channels, with a scan resolution of 10um. A scan window of 61 x 21.6 mm was used, then images were cropped to size and saved in a modified two-color TIFF format. Images were examined visually for evidence of foreign debris or major failures. Agilent Microarray Scanner User Manual (6.3) http://www.chem.agilent.com/scripts/literaturePDF.asp?iWHID=33696
Description This arrays was previously submitted as GSM137384 and
was normalized with arrays in GSE5914. Since we are
reusing it in this experiment we re-submit it as
a new sample as the normalized values are different
from the previous submitted values.
Data processing Data are extracted with Agilent Feature Extraction Software.The data were further processed with NIA ANOVA tool utilities.See http://lgsun.grc.nia.nih.gov/ANOVA for details.
 
Submission date Apr 29, 2008
Last update date Apr 30, 2008
Contact name Minoru S.H. Ko
E-mail(s) kom@mail.nih.gov
Phone 410-558-8359
Organization name NIH
Department National Institute on Aging
Lab Lab of Genetics
Street address 251 Bayview Blvd, Suite 100, 10C
City Baltimore
State/province MD
ZIP/Postal code 21224
Country USA
 
Platform ID GPL2552
Series (1)
GSE8617 Identification of Pou5f1, Sox2, and Nanog downstream target genes with statistical confidence by applying a novel algor

Data table header descriptions
ID_REF Feature Number (FeatureNum). Please check the platform file for the annotation.
VALUE The normalized VALUE among all the arrays in the series. The experiment was done on three array platforms: We used batch normalization for 3 groups of arrays since these arrays differed in the set of oligos and in the location of spots. First we normalized each set of arrays based on UMR signal (Cy5) as follows: (1) Take values from the columns gDyeNormSignal,rDyeNormSignal in the raw files and log-transform them using: log10(max(x,1)). These values will be referenced below as Xgi and Xri where i is array number. (2) Take average of Xri for the oligo among all arrays within the same platforms: AverXr = average(Xri). (3) For each array estimate Yi = Xgi-Xri+AverXr (4) Round Yi to 4 decimal digits. This is standard protocols when one platform of arrays used in the experimenti, which can be found at http://lgsun.grc.nia.nih.gov/ANOVA/help.html. Algorithm for removing Cy5 bleaching effect: Because some arrays showed slight reduction of Cy5 signal (UMR) due to ozone bleaching we compensated for this effect as follows. First we selected 100 genes with the highest variances of Cy5 signal and with average log10-signal >2.5, and estimated the average Cy5 signal for these genes in each array which roughly represented the degree of bleaching effect. Then we used a linear regression to fit Cy5 log signal for each gene as a function of the bleaching effect (average log Cy5 signal of 100 genes described above), and the Cy3 signal in the same array. Then the effect of bleaching was subtracted. If after this correction,log Cy5 signal in array differed by > 3xSD from the mean log Cy5 signal it was replaced by the mean. Algorithm for combining with earlier data (time points > 24 hr):Data on earlier time points (3-24 hr) was combined with data on later time points (24-120 hr) that was adjusted as follows: xt = xt - x24 + y24, where xt and xt are log gene expression for time point >24hr before and after adjustment, respectively, x24 is log gene expression in the experiment, and y24 is log gene expression in the new experiment. For the majority of genes we used the same oligo sequence in both data sets that were combined. However, for some genes that had no common oligo we combined data from different oligos. The data listed contains non-redundant genes which differ either in gene symbol or in the U-cluster (NIA Mouse Gene Index, ver. mm7 http://lgsun.grc.nia.nih.gov/geneindex/mm7/). Please see the supplementary raw data files for the complete set of spots for the arrays.

Data table
ID_REF VALUE
3 3.5736
4 3.8256
5 1.8337
6 2.9088
8 2.8606
9 2.3199
10 2.4369
12 2.0525
13 3.3122
15 2.2442
16 2.4540
17 2.4820
18 2.6641
19 2.8012
20 2.5389
22 2.6210
23 1.4365
24 2.2694
25 3.6800
26 2.4468

Total number of rows: 41020

Table truncated, full table size 510 Kbytes.




Supplementary file Size Download File type/resource
GSM285551.txt.gz 9.8 Mb (ftp)(http) TXT
Processed data included within Sample table

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