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Sample GSM4929063 Query DataSets for GSM4929063
Status Public on Nov 24, 2020
Title Australian AD S82
Sample type RNA
 
Source name prefrontal cortex
Organism Homo sapiens
Characteristics tissue: prefrontal cortex
diagnosis: Control
age: 59
Sex: Male
rin: 3.6
brain weight: 1360
ph: 6.56
pmi: 20
hemisphere: 1
neuropathology: 0
hepatology: 0
toxicology: 9
smoking: 1
Extracted molecule total RNA
Extraction protocol Total RNA containing the small RNA fraction was isolated from 100mg fresh frozen tissue from the prefrontal cortex (PFC) using the mirVana-PARIS kit (Life Technologies, Carlsbad, CA) following manufacturer's protocols. RNA concentration was measured using the Quant-iT Broad Range RNA Assay kit (Life Technologies) and the RNA Integrity Number (RIN) was measured on the Agilent 2100 Bioanalyzer (Agilent Technologies, Inc., Santa Clara, CA).
Label biotin
Label protocol Starting from 300ng of total RNA, cDNA synthesis and cRNA labelling were performed using the GeneChip 3' IVT Express Kit (Affymetrix).
 
Hybridization protocol Ten µg of fragmented cRNA were hybridized on the Affymetrix GeneChip Human Genome U133A 2.0 (HG-U133A 2.0).
Scan protocol Each array was scanned on the Affymetrix GeneChip Scanner 3000 7G (Affymetrix) and raw probe intensities stored in .CEL files by the GeneChip Operating Software (GCOS v1.4).
Data processing Array quality was assessed by monitoring the ratios of GAPDH and by the percentage of Present genes (%P) and array exhibiting GAPDH 3 and %P > 40% were considered of good quality. Expression values were calculated following the pre-processing procedure: 1) GCRMA background correction, 2) log2 transformation, 3) quantile normalization and 4) median-polish probeset summarization using Partek Genomics Suite (PGS) v6.23 (PGS; Partek Inc., St. Louis, MO). The batch effect removal option in PGS was used to control for batch effect. mRNA and miRNA microarray quality was further assessed using a principal components analysis (PCA) which was conducted on the expression values for both array types in which samples were plotted along the first three principle components (PCs) to identify potential microarray outliers.
 
Submission date Nov 23, 2020
Last update date Nov 24, 2020
Contact name Eric Vornholt
E-mail(s) eric.vornholt@mssm.edu
Phone 15205487115
Organization name Icahn School of Medicine
Street address 800 E. Leigh St. Box 980126
City New York
State/province NY
ZIP/Postal code 10029
Country USA
 
Platform ID GPL571
Series (2)
GSE161986 Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC [mRNA]
GSE161999 Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC

Data table header descriptions
ID_REF
VALUE Log2 transformed normalized expression

Data table
ID_REF VALUE
1007_s_at 9.03797
1053_at 7.82263
117_at 5.20773
121_at 6.23069
1255_g_at 5.61929
1294_at 6.30847
1316_at 8.30507
1320_at 4.78362
1405_i_at 4.70018
1431_at 5.55864
1438_at 5.55754
1487_at 7.88802
1494_f_at 5.00902
1598_g_at 8.55796
160020_at 6.7988
1729_at 6.88653
1773_at 5.90333
177_at 4.9172
179_at 7.12011
1861_at 8.95697

Total number of rows: 22215

Table truncated, full table size 407 Kbytes.




Supplementary file Size Download File type/resource
GSM4929063_VV151.CEL.gz 3.5 Mb (ftp)(http) CEL
Processed data included within Sample table

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