Data · dataset · 2022
T cell responses at diagnosis of amyotrophic lateral sclerosis predict disease progression
Listed in Researchdata.se
In this project, we aimed to understand how T cell responses contribute to the disease progression of amyotrophic lateral sclerosis (ALS).
Description
The present data is on single-cell sequencing isolated from human cerebrospinal fluid (CSF) cells from both ALS patients (n=5) and controls (n=4). This analysis was conducted as part of a bigger project which is summarized in the section below.
We used flow cytometry to define T cell subsets and phenotypes in blood and CSF samples collected at the time of diagnosis on a cohort of 89 newly diagnosed ALS patients in Stockholm, Sweden. High frequency of CD4+FOXP3- effector T cells in blood and CSF was associated with a poor survival whereas high frequency of activated regulatory T (Treg) cells and high ratio between activated and resting Treg cells in blood was associated with a better survival.
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T cell profiles also predicted disease progression rate. On an independent cohort of cases and controls we used single cell transcriptomics data to demonstrate that ALS patients had altered T cell gene expression patterns and clonally expanded CD4+ and CD8+ T cells in CSF. In summary, T cell responses contribute to disease progression of ALS, supporting modulation of adaptive immunity as a viable therapeutic option.
The data sets contain single-cell RNA sequencing data from 9 individuals (5 ALS cases and 4 controls). Immune cells were isolated from CSF. Furthermore, for each individual, we studied the T cell receptor repertoire by using V(D)J sequencing.
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Links
Where it is published
- DOI doi.org/10.48723/xjvx-2v24 ↗
DOI / persistent id · from researchdata se
Catalogue records · 1
- OAI-PMH record api.researchdata.se/oai-pmh?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3A… ↗
metadata API · from researchdata se
Topics
- From keywords
- Earth & Environmental Science · Epidemiology · Immunology · Life Sciences · Medicine & Health · Neurosciences
- Inferred from text
- Disease 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 13 field assertions
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|---|---|---|---|
| Researchdata.se | oai:researchdata.se:2022-113-1/1 | 13 d ago | JSON v1 |
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