HBV Immunomics 10X and Smart-seq2 integrated data
Creators
- 1. Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, Basel, Switzerland
- 2. Service d'hépato-gastroentérologie, Pôle hépato-digestif, Institut Hospitalo-Universitaire de Strasbourg, Hôpitaux Universitaires de Strasbourg, Strasbourg, France. / Institut de Recherche sur les Maladies Virales et Hépatiques, Inserm UMR_S1110, University of Strasbourg, Strasbourg, France
- 3. ervice d'hépato-gastroentérologie, Pôle hépato-digestif, Institut Hospitalo-Universitaire de Strasbourg, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- 4. Roche Pharma Research and Early Development, Immunology, Infectious Diseases and Ophthalmology (I2O) Discovery and Translational Area, Roche Innovation Center Basel, Basel, Switzerland
- 5. Service d'hépato-gastroentérologie, Pôle hépato-digestif, Institut Hospitalo-Universitaire de Strasbourg, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
Description
Here, we established a single-cell RNA-sequencing (scRNA-seq) dataset of HBV immune responses in patients to contribute to a better understanding of the dysregulated immune response in CHB. We collected blood samples of a well-defined cohort of CHB and healthy controls including a subset of matched blood and liver samples. scRNA-seq data of 55,825 total immune cells as well as 131,367 sorted HBV-specific, non-naive and PD1+ T cells was generated using the 10X Genomics platform (186,123 cells) and the full-length Smart-seq2 protocol (1,069 cells). This unique scRNA-seq dataset serves as a resource describing T cell responses in patients and offers the opportunity to explore transcriptional changes underlying HBV-related immune cell dysfunction in blood and liver tissue and to identify new targets or biomarkers for HBV-related immune exhaustion.
This dataset includes the 10X and Smart-seq2 integrated data.
Files
integrate_10x_smartseq2.ipynb
Files
(7.9 GB)
Additional details
Related works
- Is continued by
- Dataset: 10.5281/zenodo.8399458 (DOI)
- Dataset: 10.5281/zenodo.8399409 (DOI)