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Status |
Public on Sep 25, 2012 |
Title |
Δpah1_rep1 |
Sample type |
RNA |
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|
Source name |
Δpah1, replica 1
|
Organism |
Saccharomyces cerevisiae |
Characteristics |
strain background: W303, mat alpha genotype/variation: Δpah1 agent: n/a
|
Treatment protocol |
The UPR was induced by the addition of 2 mM DTT or 1 µg/ml Tm for one hour prior to harvest the cells
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Growth protocol |
Culture were grown to an OD600 of 0.25 at 30oC in selective synthetic complete media.
|
Extracted molecule |
total RNA |
Extraction protocol |
Total RNA was extracted by the hot acid phenol method as previously described (Spellman et al., 1998). Total RNA was subsequently cleaned up using Rnease Mini Kit (Qiagen)
|
Label |
Cy3
|
Label protocol |
Labeling System with 100 ng of total RNA as starting material following manufacturer instruction: One-Color Microarray-Based Gene Expression Analysis Protocol version 6.5 (Agilent Technologies)
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Hybridization protocol |
Hybridized on Custom Microarray Agilent GE 4x44K array
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Scan protocol |
Arrays were scanned using High-resolution DNA Microarray Scanner model: G2505C (Agilent Technologies)
|
Data processing |
Data was analyzed using GeneSpring GX software (Agilent Technologies). Normalization: Percentile shift to 75th percentile (per chip normalization); Baseline to Median of Individual batch data (per gene normalization). For additional data processing details (eg, settings, filtering, etc.), please see the supplementary file linked to the Series record.
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Submission date |
Jul 17, 2012 |
Last update date |
Sep 25, 2012 |
Contact name |
Guillaume Thibault |
E-mail(s) |
guillou1976@gmail.com
|
Organization name |
Temasek Life Sciences Laboratory
|
Department |
Cell Stress and Homeostasis
|
Lab |
Davis Ng
|
Street address |
1 Research Link, National University of Singapore
|
City |
Singapore |
ZIP/Postal code |
117604 |
Country |
Singapore |
|
|
Platform ID |
GPL9294 |
Series (1) |
GSE39419 |
The Membrane Stress Response Buffers Lethal Effects of Lipid Disequilibrium by Reprogramming the Protein Homeostasis Network |
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