|
| Status |
Public on Jun 17, 2014 |
| Title |
RSP_0489_Rep3 |
| Sample type |
RNA |
| |
|
| Source name |
ΔRSP_0489 deletion cells grown aerobically
|
| Organism |
Cereibacter sphaeroides |
| Characteristics |
strain: ΔRSP_0489
|
| Growth protocol |
R. sphaeroides strains that were grown in 500 ml cultures in roux bottles either photosynthetically (bubbling with 95% N2, 5% CO2) or aerobically (bubbling with 69% N2, 30% O2, 1% CO2) on Sistrom's minimal media and harvested at exponential phase.
|
| Extracted molecule |
total RNA |
| Extraction protocol |
RNA was extracted from R. sphaeroides cells by hot acid phenol extraction.
|
| Label |
biotin
|
| Label protocol |
Synthesized cDNA was labeled with BioArray™ Terminal labeling kit with biotin-ddUTP
|
| |
|
| Hybridization protocol |
not provided
|
| Scan protocol |
not provided
|
| Description |
Gene expression data from a ΔRSP_0489 markerless deletion strain obtained under aerobic conditions.
|
| Data processing |
Microarray datasets were normalized by Robust Multichip Average (RMA) to log2 scale with background adjustment and quantile normalization. Statistical analysis of normalized data to identify differentially expressed genes was done using the limma package. Correction for multiple testing was done using Benjamini-Hochberg correction. All analyses were conducted in the R statistical programming environment.
|
| |
|
| Submission date |
Jun 16, 2014 |
| Last update date |
Jun 17, 2014 |
| Contact name |
Timothy J Donohue |
| E-mail(s) |
[email protected]
|
| Phone |
608-265-8465
|
| Organization name |
University of Wisconsin - Madison
|
| Department |
Bacteriology
|
| Lab |
Timothy Donohue
|
| Street address |
1552 University Avenue
|
| City |
Madison |
| State/province |
WI |
| ZIP/Postal code |
53726 |
| Country |
USA |
| |
|
| Platform ID |
GPL162 |
| Series (2) |
| GSE58553 |
An Integrated Approach to Reconstructing Genome-scale Transcriptional Regulatory Networks [Affymetrix] |
| GSE58658 |
An Integrated Approach to Reconstructing Genome-scale Transcriptional Regulatory Networks |
|
