Single-Cell RNA-Seq of Th17.1 and Lymphocytes in Multiple Sclerosis Patients

Processed single-cell RNA sequencing data from 15 samples, including healthy controls and multiple sclerosis patients before and after natalizumab treatment. The data was generated by van Puijfelik, Fabienne and collaborators using 10x Genomics 5' scRNAseq with Next-GEM v2 reagents. The dataset was last updated on 2026-05-18.

Use Cases

• Identify pathogenic gene expression signatures in Th17.1 cells based on single-cell transcriptomics.
• Compare immune cell profiles between untreated and natalizumab-treated MS patients based on paired samples.
• Analyze surface protein expression (CITE-seq) for markers like CCR6 and CXCR3 on lymphocyte populations.
• Investigate the role of CCR5high CD4+ cytotoxic T-cell precursors in MS pathology.

Strengths

• Includes paired samples from the same MS patients before and after treatment, enabling longitudinal analysis.
• Combines scRNA-seq with CITE-seq antibody-derived tags for surface protein detection on lymphocyte populations.
• Contains data from 15 samples, including 3 healthy controls, 6 untreated MS, and 6 treated MS samples.

Limitations

• Only processed Seurat objects are provided; raw sequencing data is unavailable due to patient privacy.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

van Puijfelik, Fabienne; DataverseNL Harvested Dataverse

Collection Method

Single-cell RNA sequencing performed on the 10x Genomics platform using Next-GEM v2 reagents, with cell hashing and CITE-seq.

Freshness

Last updated 2026-05-18 06:12:02; freshness should be verified.