SELDI-TOF Proteomics Data for Secondary Progressive Multiple Sclerosis
by Alex Lewin / Imperial College London
Available on 1 platform
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Description
Raw normalized proteomics data from SELDI-TOF mass spectrometry at high range, used in a study on free serum haemoglobin and brain atrophy. The data was produced by Alex Lewin at Imperial College London. Columns likely contain sample identifiers, longitudinal time points, peak numbers, intensities, and mass-to-charge ratios.
Use Cases
Identify potential protein biomarkers for disease progression based on peak intensity data.
Analyze longitudinal changes in protein expression across four time points per patient.
Correlate mass-to-charge ratio patterns with clinical outcomes mentioned in the associated article.
Strengths
Data is normalized, which suggests preprocessing for comparative analysis.
Includes longitudinal measurements for patients at four distinct time points (1, 3, 4, and 5).
Limitations
Row count and overall dataset size are unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Provenance
Source
Imperial College London
Collection Method
SELDI-TOF mass spectrometry following Expression Difference Mapping (ProteinChip Data Manager, Bio-Rad).
License is listed as Open Access (green); specific terms should be verified.