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Status |
Public on Dec 14, 2021 |
Title |
sample 102, RRMS - alemtuzumab 25 |
Sample type |
RNA |
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Source name |
B cells from the peripheral blood
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Organism |
Homo sapiens |
Characteristics |
subject identifier: NW15M group: RRMS patient therapy: alemtuzumab Sex: female age (years): 29 disease duration (years): 5.2 edss score: 2.0 relapses in previous year: 2
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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.
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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.
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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).
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Label |
Biotin
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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.
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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.
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Scan protocol |
The microarrays were scanned with a GeneChip Scanner 3000 7G (Affymetrix).
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Description |
Gene expression data for a patient with RRMS treated with alemtuzumab
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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.
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Submission date |
Dec 13, 2021 |
Last update date |
Dec 14, 2021 |
Contact name |
Michael Hecker |
E-mail(s) |
michael.hecker@rocketmail.com
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Organization name |
University of Rostock
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Department |
Department of Neurology
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Lab |
Division of Neuroimmunology
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Street address |
Gehlsheimer Str. 20
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City |
Rostock |
ZIP/Postal code |
18147 |
Country |
Germany |
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Platform ID |
GPL23126 |
Series (1) |
GSE190847 |
Transcriptome data of B cells from patients with multiple sclerosis and healthy controls |
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