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Sample GSM928831 Query DataSets for GSM928831
Status Public on Feb 13, 2013
Title DD17
Sample type RNA
 
Source name renal allograft biopsy
Organism Homo sapiens
Characteristics tissue: renal allograft biopsy
diagnosis (good,bad): bad
dgf status: IGF
remuzzi score (inadequate tissue for pathology interpretation): 0
mapi (inadequate tissue for pathology interpretation): 0
glomerulosclerosis (inadequate tissue for pathology interpretation): 0
irish score: 13
schold score: 0.855
kdri: 1.111
donor age: 47
Treatment protocol The immunosuppressive treatment of the patients before the biopsy was based on individual treatment regiments; the treatment after the biopsy was adjusted based on the histopathological diagnosis.
Growth protocol All human renal allograft biopsies taken for clinical indication during the period specified above were included. Tissue was immediately placed in RNA later.
Extracted molecule total RNA
Extraction protocol Following homogenization of the tissue in 0.5ml of Trizol reagent (Invitrogen, Carlsbad, CA), total RNA was extracted and purified using the Rneasy Micro Kit (Quiagen, Ontario, Canada) (average yield 4µg/core, (RNA integrity number >7).
Label biotin
Label protocol RNA (1-2µg) was labeled using GeneChip HT One-Cycle Target Labeling and Control kit. Quality of labeled cRNA was assessed on an Agilent 2100 Bioanalyzer (Agilent, Palo Alto, CA) before hybridization to HGU133Plus2.0. GeneChip (Affymetrix, Santa Clara, CA).
 
Hybridization protocol Following fragmentation, 15 ug of cRNA were hybridized for 16 hr at 45C on GeneChip HGU133 Plus 2.0 Human Genome Array. GeneChips were washed and stained in the Affymetrix Fluidics Station 400.
Scan protocol GeneChips were scanned using Gene Array Scanner (Affymetrix) and processed with GeneChip Operating Software Version 1.4.0 (Affynetrix).
Data processing Microarray data files were preprocessed using robust multi-chip averaging (RMA) implemented in Bioconductor.
 
Submission date May 08, 2012
Last update date Feb 13, 2013
Contact name Jessica Chang
E-mail(s) jjchang@ualberta.ca
Organization name University of Alberta
Department Medicine
Lab ATAGC
Street address 250 Heritage Medical Research Centre
City Edmonton
ZIP/Postal code T6G 2S2
Country Canada
 
Platform ID GPL570
Series (1)
GSE37838 Comparing molecular assessment of implantation biopsies with histologic and demographic risk assessment.

Data table header descriptions
ID_REF
VALUE log2-RMA signal

Data table
ID_REF VALUE
1007_s_at 9.561
1053_at 5.993
117_at 5.739
121_at 10.267
1255_g_at 3.261
1294_at 7.138
1316_at 5.595
1320_at 5.102
1405_i_at 4.738
1431_at 4.856
1438_at 6.277
1487_at 8.187
1494_f_at 6.239
1552256_a_at 6.375
1552257_a_at 6.913
1552258_at 4.505
1552261_at 5.532
1552263_at 4.640
1552264_a_at 6.623
1552266_at 3.638

Total number of rows: 54675

Table truncated, full table size 899 Kbytes.




Supplementary file Size Download File type/resource
GSM928831_DD17.CEL.gz 4.7 Mb (ftp)(http) CEL
Processed data included within Sample table

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