Bibliographic Details
| Title: |
Single-cell RNA-sequencing of virus-specific cellular immune responses in chronic hepatitis B patients |
| Authors: |
Klas Hatje, Tony Kam-Thong, Nicolas Giroud, Antonio Saviano, Pauline Simo-Noumbissie, Nadine Kumpesa, Tobias Nilsson, François Habersetzer, Thomas F. Baumert, Nadege Pelletier, Marianne Forkel |
| Source: |
Scientific Data, Vol 11, Iss 1, Pp 1-12 (2024) |
| Publisher Information: |
Nature Portfolio, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Science |
| Subject Terms: |
Science |
| More Details: |
Abstract Chronic hepatitis B (CHB) is a major global health challenge. CHB can be controlled by antivirals but a therapeutic cure is lacking. CHB is characterized by limited HBV-specific T cell reactivity and functionality and expression of inhibitory receptors. The mechanisms driving these T cell phenotypes are only partially understood. Here, we created a single-cell RNA-sequencing dataset of HBV immune responses in patients to contribute to a better understanding of the dysregulated immunity. Blood samples of a well-defined cohort of 21 CHB and 10 healthy controls, including a subset of 5 matched liver biopsies, were collected. scRNA-seq data of total immune cells (55,825) plus sorted HBV-specific (1,963), non-naive (32,773) and PD1+ T cells (96,631) was generated using the 10X Genomics platform (186,123 cells) or the full-length Smart-seq2 protocol (1,069 cells). The shared transcript count matrices of single-cells serve as a valuable resource describing transcriptional changes underlying dysfunctional HBV-related T cell responses in blood and liver tissue and offers the opportunity to identify targets or biomarkers for HBV-related immune exhaustion. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2052-4463 |
| Relation: |
https://doaj.org/toc/2052-4463 |
| DOI: |
10.1038/s41597-024-03187-2 |
| Access URL: |
https://doaj.org/article/c9c49586d0034ecf8069324ee36f3f71 |
| Accession Number: |
edsdoj.9c49586d0034ecf8069324ee36f3f71 |
| Database: |
Directory of Open Access Journals |
