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HBcore-specific CXCR6+CD8 T cells during persistent HBV replication in mice lose their effector function and have high CREM activity

GSE214151 Mus musculus (mouse) Single-cell RNA-seq 40 samples Submitted 2024/05/08 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 40 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
40 samples: 40 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
A liver immune rheostat regulates CD8 T cell immunity in chronic HBV infectionNature · 2024
Summary (written by the submitters)
We investigated molecular profiles of CD8 T cells in persistent experimental Hepatitis B virus (HBV) infection. To this end, we established a preclinical in vivo model where HBV-replicating hepatocytes were cleared by virus-specific immunity after infection with 107 IU Ad-HBV, whereas persistent HBV replication developed after infection with 108 IU Ad-HBV, revealed by high serum HBeAg levels, high numbers of HBV genome copies and of HBcorepos hepatocytes in liver tissue.
Read the full summary ↓
To overcome variable surface expression of the T cell receptor during chronic infection and unequivocally identify HBV-specific CD8 T cells, we adoptively transferred naïve CD45.1+HBcore-specific CD8 T cells from Cor93 transgenic mice (HBcoreCD8 T cells) the day before Ad-HBV infection. After clearance of HBV-replicating hepatocytes (d44 p.i.), liver CD45.1+HBcoreCD8 T cells expressed either CXCR6 or CX3CR1, and in the spleen only CX3CR1+ CD8 T cells were detected. Next, we evaluated the transcriptional profile of FACSorted HBcoreCD8 T cells after resolved compared to persistent infection employing SmartSeq2. The resulting dataset is reported here.
Published in
A liver immune rheostat regulates CD8 T cell immunity in chronic HBV infection
Bosch M, Kallin N, Donakonda S et al. · Nature 2024 · PMID 38987588 · doi:10.1038/s41586-024-07630-7
This dataset
Open GSE214151 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE214151_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA884135 and SRA study SRP399537. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38987588) ↗
Study design
40 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 40 sample titles: 40 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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