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Sample GSM5732932 Query DataSets for GSM5732932
Status Public on Dec 14, 2021
Title sample 81, RRMS - alemtuzumab 4
Sample type RNA
 
Source name B cells from the peripheral blood
Organism Homo sapiens
Characteristics subject identifier: JL40P
group: RRMS patient
therapy: alemtuzumab
Sex: male
age (years): 37
disease duration (years): 5.6
edss score: 3.0
relapses in previous year: 1
Treatment protocol The patients were treated with different therapies according to the approved labels and the guidelines and recommendations of the German Society of Neurology.
Growth protocol Twenty ml of peripheral blood were taken from MS patients during regular clinical visits as well as from healthy donors at the Rostock University Medical Center.
Extracted molecule total RNA
Extraction protocol Peripheral blood mononuclear cells (PBMC) were isolated using Ficoll density gradient separation (Histopaque-1077, Sigma-Aldrich). Untouched B cells were then enriched from the PBMC by negative selection using the Pan B Cell Isolation Kit (Miltenyi Biotec). Total RNA was isolated using the miRNeasy Mini Kit (Qiagen) in combination with the RNase-free DNase set (Qiagen).
Label Biotin
Label protocol According to the GeneChip Whole Transcript (WT) manual, cRNA was prepared from 100 ng total RNA. The cRNA was then used to generate single-stranded DNA, which was fragmented and biotinylated.
 
Hybridization protocol Labeled single-stranded DNA in the sense orientation was hybridized for 16 hours at 45 °C on Clariom D Arrays (Applied Biosystems). The microarrays were washed and stained with a streptavidin-phycoerythrin conjugate in a GeneChip Fluidics Station 450. Signal amplification with antibodies was applied following the instructions provided by Thermo Fisher Scientific.
Scan protocol The microarrays were scanned with a GeneChip Scanner 3000 7G (Affymetrix).
Description Gene expression data for a patient with RRMS treated with alemtuzumab
Data processing Data preprocessing of the raw microarray scans was performed using the Affymetrix GeneChip Command Console software version 4.0. The signal intensities of the >6 million oligonucleotide probes were further processed using the Transcriptome Analysis Console (TAC) version 4.0.2 (Applied Biosystems) in the default configuration. The signal space transformation robust multi-array average (SST-RMA) algorithm was applied for background adjustment, quantile normalization, probe set summarization and log2 transformation. The TAC software was also utilized for differential gene expression analysis.
Exon-level processed data are available on the series record.
 
Submission date Dec 13, 2021
Last update date Dec 14, 2021
Contact name Michael Hecker
E-mail(s) michael.hecker@rocketmail.com
Organization name University of Rostock
Department Department of Neurology
Lab Division of Neuroimmunology
Street address Gehlsheimer Str. 20
City Rostock
ZIP/Postal code 18147
Country Germany
 
Platform ID GPL23126
Series (1)
GSE190847 Transcriptome data of B cells from patients with multiple sclerosis and healthy controls

Data table header descriptions
ID_REF
VALUE Gene-level SST-RMA signal intensity

Data table
ID_REF VALUE
TC0100006432.hg.1 4.15106
TC0100006433.hg.1 2.79442
TC0100006434.hg.1 4.12714
TC0100006435.hg.1 3.4838
TC0100006436.hg.1 3.62646
TC0100006437.hg.1 2.90148
TC0100006438.hg.1 7.99147
TC0100006439.hg.1 5.90083
TC0100006440.hg.1 3.41052
TC0100006441.hg.1 5.937
TC0100006442.hg.1 3.04821
TC0100006443.hg.1 4.81555
TC0100006444.hg.1 2.82827
TC0100006445.hg.1 3.14768
TC0100006446.hg.1 4.73309
TC0100006447.hg.1 19.12431
TC0100006448.hg.1 3.39754
TC0100006449.hg.1 2.84949
TC0100006450.hg.1 3.50855
TC0100006451.hg.1 4.10073

Total number of rows: 135750

Table truncated, full table size 3448 Kbytes.




Supplementary file Size Download File type/resource
GSM5732932_sample_81_RRMS_alemtuzumab_4.sst-rma-combined-dabg.chp.gz 17.2 Mb (ftp)(http) CHP
Processed data included within Sample table
Processed data are available on Series record

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