|
| Status |
Public on Jul 25, 2014 |
| Title |
SScMH_10_24mo_LF |
| Sample type |
RNA |
| |
|
| Channel 1 |
| Source name |
SScMH_10_24mo_LF
|
| Organism |
Homo sapiens |
| Characteristics |
tissue: systemic sclerosis human back skin biopsy
|
| Biomaterial provider |
Northwestern University
|
| Treatment protocol |
Storage of human tissue in RNAlater.
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Total RNA isolated using Qiagen RNeasy Mini Kit.
|
| Label |
Cy3
|
| Label protocol |
Labeled using Agilent Quick Amp Labeling Kit.
|
| |
|
| Channel 2 |
| Source name |
Stratagene Universal Human Reference
|
| Organism |
Homo sapiens |
| Characteristics |
sample type: reference
|
| Biomaterial provider |
Stratagene
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Total RNA isolated by Stratagene.
|
| Label |
Cy5
|
| Label protocol |
Labeled using Agilent Quick Amp Labeling Kit.
|
| |
|
| |
| Hybridization protocol |
Hybridized using Agilent Hyb Kit.
|
| Scan protocol |
Fluorescent array images were collected for both Cy3 and Cy5 with a GenePix 4000B fluorescent scanner, and image intensity data were extracted and analyzed with GenePix Pro analysis software.
|
| Description |
SScMH_10_24mo_LF
EXPT_ID: 72341
PRINT_ID: 1064
|
| Data processing |
Data for both channels were Lowess-normalized and then the log(2) ratio was taken. Data were filtered for genes with >80% good data.
|
| |
|
| Submission date |
Apr 17, 2014 |
| Last update date |
Jan 14, 2016 |
| Contact name |
Tammara Wood |
| E-mail(s) |
tammara.a.wood@dartmouth.edu
|
| Organization name |
Dartmouth Medical School
|
| Department |
Biomedical Data Science
|
| Lab |
Whitfield Lab
|
| Street address |
WTRB 674
|
| City |
Lebanon |
| State/province |
NH |
| ZIP/Postal code |
03756 |
| Country |
USA |
| |
|
| Platform ID |
GPL6480 |
| Series (4)
|
| GSE59785 |
Mycophenolate Treatment in Systemic Sclerosis |
| GSE59787 |
Hinchcliff 165 microarray dataset |
| GSE76809 |
Multi-tissue functional genomic study of systemic sclerosis |
| GSE76886 |
Hinchcliff 359 microarray dataset |
|
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