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Sample GSM867725 Query DataSets for GSM867725
Status Public on Jan 31, 2012
Title adipose tissue, after weight loss, biological rep1
Sample type RNA
 
Source name Subcutaneous adipose tissue
Organism Homo sapiens
Characteristics group: after weight loss
gender: Male
age: 33
bmi: 38.3
Treatment protocol Subcutaneous abdominal adipose tissue biopsies were obtained by needle aspiration under local anesthesia (2 ml 10% lidocain). Biopsies were immediately put in RNAlater (Ambion, Austin, TX) and after overnight incubation at 4C snap frozen at -80C until further processing.
Extracted molecule total RNA
Extraction protocol RNA was extracted using Tri reagent (Sigma-Aldrich, St. Louis, MO) followed by RNeasy Midi kit (Qiagen, Düsseldorf, Germany). The RNA was further concentrated by RNeasy MiniElute (Qiagen, Düsseldorf, Germany) and SpeedVac (DNA 120 SpeedVac, Thermo Savant, Waltham, MA 02454).
Label biotin
Label protocol Performed according to manufacturer’s recommendation at the SCIBLU Microarray Resource Centre, Lund University, Sweden
 
Hybridization protocol Performed according to manufacturer’s recommendation at the SCIBLU Microarray Resource Centre, Lund University, Sweden
Scan protocol Performed according to manufacturer’s recommendation at the SCIBLU Microarray Resource Centre, Lund University, Sweden
Data processing We used AffyProbeMiner to regroup the individual probes into consistent probe sets and remap the probe sets to the correct sets of mRNA transcripts for HG-U133 Plus 2.0 array which resulted in 23,798 probe sets. We applied Robust Multi-array Average (RMA) method for normalization. We conducted filtering based on the MAS5.0 present/absent calls which classified each probe set as expressed above background (present call) or not (absent or marginal call). We included probe sets, which have detection call as present call in at least 50% arrays in one group, which left 13,463 probe sets out of 23,798 for further analysis. To identify differentially expressed genes for interclass paired comparisons we used a permutation based false discovery rate (FDR) approach calculated by the EOC function in the OCplus R package as well as Patterns from Gene Expression (PaGE) method for log (base 2) transformed data with the use of modified t statistics. We considered only those probe sets as differentially expressed between groups that fulfilled each of two requisites: (i) a global FDR less than 0.05 by the EOC function, and (ii) a confidence level of at least 0.95 (which is equivalent to 5% of false discovery rate by PaGE method. Gene lists were analyzed using WebGestalt for the enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways using the hypergeometric test.
 
Submission date Jan 30, 2012
Last update date Jan 31, 2012
Contact name Anders Danielsson
E-mail(s) anders.danielsson@med.lu.se
Organization name Lund University
Department Medical Faculty, Clinical Sciences
Lab Clinical Obesity
Street address Jan Waldenströms gata 35
City Malmö
State/province Skåne
ZIP/Postal code SE-20502
Country Sweden
 
Platform ID GPL10335
Series (1)
GSE35411 Differential gene expression in adipose tissue from obese human subjects during weight loss and weight maintenance

Data table header descriptions
ID_REF
VALUE log2 RMA signal

Data table
ID_REF VALUE
HG-U133_Plus_2HF3574 3.670105
HG-U133_Plus_2HF25126 3.742697
HG-U133_Plus_2HF3025 6.940413
HG-U133_Plus_2HF19536 3.567884
HG-U133_Plus_2HF25742 6.062815
HG-U133_Plus_2HF21915 4.30919
HG-U133_Plus_2HF17394 3.397324
HG-U133_Plus_2HF27634 4.39503
HG-U133_Plus_2HF26357 6.574769
HG-U133_Plus_2HF660 6.172792
HG-U133_Plus_2HF23411 7.144685
HG-U133_Plus_2HF31278 3.811183
HG-U133_Plus_2HF13824 5.505282
HG-U133_Plus_2HF15444 6.955127
HG-U133_Plus_2HF30190 3.819342
HG-U133_Plus_2HF4452 6.858215
HG-U133_Plus_2HF18660 3.271521
HG-U133_Plus_2HF15308 4.380223
HG-U133_Plus_2HF2948 5.509319
HG-U133_Plus_2HF3965 3.329456

Total number of rows: 23798

Table truncated, full table size 711 Kbytes.




Supplementary file Size Download File type/resource
GSM867725_Group_II_Sample_1.CEL.gz 7.8 Mb (ftp)(http) CEL
Processed data included within Sample table

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