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Sample GSM1152332 Query DataSets for GSM1152332
Status Public on May 22, 2014
Title Bone-Marrow_MM_M1042
Sample type RNA
 
Source name Bone Marrow MM patient
Organism Homo sapiens
Characteristics tissue type: Bone Marrow
cell type: Multiple Myeloma (MM) plasma cells
Extracted molecule total RNA
Extraction protocol In all the samples a CD138-positive PC isolation using the AutoMACs separation system (Miltenyi-Biotec) was carried out. Final purity was >95% in all MM and SMM cases, and >90% in MGUS patients and healthy donors. Total RNA was extracted from normal and tumor plasma cells using miRNEasy Mini Kit (Qiagen, Valencia, USA) following manufacturer's protocol. The RNA integrity was assessed using Agilent 2100 Bioanalyzer (Agilent, Palo Alto, CA).
Label biotin
Label protocol Labelling and hybridizations were performed according to protocols from Affymetrix. Briefly, 100-300 ng of total RNA were amplified and labeled using the WT Sense Target labelling and control reagents kit (Affymetrix Inc., Santa Clara, CA, USA)
 
Hybridization protocol Labeled RNA was hybridized to Human Gene 1.0 ST Array
Scan protocol Washing and scanning were performed using GeneChip System of Affymetrix (GeneChip Hybridization Oven 640, GeneChip Fluidics Station 450 and GeneChip Scanner 7G).
Data processing Normalization was carried out by using the expression console (Affymetrix) with RMA algorithm which includes background correction, normalization and calculation of expression values (log2). Since myeloid contamination signature can be detected even in samples with high purity, those probes identifying genes exclusive of myeloid lineage were subtracted from the analysis from the out set.
Unsupervised analysis: In order to classify the samples, multidimensional scaling method (MDS) implemented with SIMFIT statistical package (version 6.4.1, available at http://www.simfit.manchester.ac.uk) was performed using Euclidean distance. In addition, an unsupervised hierarchical clustering with Euclidean distance as the distance measure, and group average as clustering method was carried out.
Supervised analysis: Significant Analysis of Microarrays (SAM) algorithm (http://www-stat.standford.edu/-tibs/SAM) was used to identify genes with statistically significant changes in expression between different classes(25). All data were permutated over 1,000 cycles by using the two-class and multiclass response format, without considering equal variances. Significant genes were selected based on the lowest q-value (q-value < 10-5).
Gene function analysis: The probe sets were functionally annotated and grouped according to their biological function using Gene Ontology biological process descriptions. The functional analysis to identify the most relevant biological mechanisms, pathways and functional categories in the data sets of genes selected by statistical analysis, was generated through the use of IPA (Ingenuity Systems, www.ingenuity.com).
probe group file: HuGene-1_0-st-v1.r4.pgf
meta-probeset file: HuGene-1_0-st-v1.r4.mps
 
Submission date May 31, 2013
Last update date May 22, 2014
Contact name Norma C. Gutiérrez
E-mail(s) normagu@usal.es
Phone +34923291384
Organization name Centro de Investigación del Cáncer de Salamanca
Department Hematologia
Lab 12
Street address Campus Miguel de Unamuno
City Salamanca
State/province Salamanca
ZIP/Postal code 37007
Country Spain
 
Platform ID GPL6244
Series (1)
GSE47552 Transcriptome analysis reveals molecular profiles associated with evolving steps of monoclonal gammopathies

Data table header descriptions
ID_REF
VALUE Quantile normalized log2 gene level expression values from Affymetrix Expression Console

Data table
ID_REF VALUE
7892501 7.133502
7892502 4.596304
7892503 3.887976
7892504 9.936011
7892505 3.033081
7892506 4.087385
7892507 4.106181
7892508 4.360716
7892509 10.71806
7892510 4.203671
7892511 3.520128
7892512 7.102915
7892513 4.075626
7892514 10.72324
7892515 8.197962
7892516 3.055409
7892517 5.218885
7892518 2.437587
7892519 5.167706
7892520 8.785267

Total number of rows: 33297

Table truncated, full table size 549 Kbytes.




Supplementary file Size Download File type/resource
GSM1152332_M1042.CEL.gz 4.0 Mb (ftp)(http) CEL
Raw data provided as supplementary file
Processed data included within Sample table

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