Interferon-lambda uniquely promotes CD8 T cell immunity against SARS-CoV-2 relative to type I interferon
RNA-seq (gene expression) · mouse · 18 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 18 samples: 18 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
- IFN-λ uniquely promotes CD8 T cell immunity against SARS-CoV-2 relative to type I IFNJCI insight · 2024
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE253635_RAW.tar (it can run to tens of gigabytes).
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.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1066379 and SRA study SRP484577. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 18 sample titles: 18 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.
- GSM8024430 B6 WT Naïve Mouse Lung 1-Replicate 1
- GSM8024431 B6 WT Naïve Mouse Lung 2-Replicate 1
- GSM8024432 B6 WT Naïve Mouse Lung 4-Replicate 1
- GSM8024433 B6 WT Day 2 post MA10 SARS-CoV-2 Mouse Lung 1-Replicate 1
- GSM8024434 B6 WT Day 2 post MA10 SARS-CoV-2 Mouse Lung 2-Replicate 1
- GSM8024435 B6 WT Day 2 post MA10 SARS-CoV-2 Mouse Lung 3-Replicate 1
- GSM8024436 Ifnlr1-/- Naïve Mouse Lung 1-Replicate 1
- GSM8024437 Ifnlr1-/- Naïve Mouse Lung 2-Replicate 1
- GSM8024438 Ifnlr1-/- Naïve Mouse Lung 4-Replicate 1
- GSM8024439 Ifnlr1-/- Day 2 post MA10 SARS-CoV-2 Mouse Lung 1-Replicate 1
- GSM8024440 Ifnlr1-/- Day 2 post MA10 SARS-CoV-2 Mouse Lung 2-Replicate 1
- GSM8024441 Ifnlr1-/- Day 2 post MA10 SARS-CoV-2 Mouse Lung 3-Replicate 1
- GSM8024442 B6 WT Day 5 post MA10 SARS-CoV-2 Mouse Lung 1-Replicate 1
- GSM8024443 B6 WT Day 5 post MA10 SARS-CoV-2 Mouse Lung 2-Replicate 1
- GSM8024444 B6 WT Day 5 post MA10 SARS-CoV-2 Mouse Lung 3-Replicate 1
- GSM8024445 Ifnlr1-/- Day 5 post MA10 SARS-CoV-2 Mouse Lung 1-Replicate 1
- GSM8024446 Ifnlr1-/- Day 5 post MA10 SARS-CoV-2 Mouse Lung 2-Replicate 1
- GSM8024447 Ifnlr1-/- Day 5 post MA10 SARS-CoV-2 Mouse Lung 3-Replicate 1
- GSE317032 Non-cytolytic viral vaccine vectors induce durable effector-memory CD8 T cell immunity by triggering type I interferon 18 samples shares cd8, interferon, immunity
- GSE266528 Adaptive immunity to retroelements promotes barrier integrity [single_cell_CD8] 12 samples shares cd8, promotes, immunity
- GSE316541 α2,6-Sialoglycan-regulated anti-tumor immunity of tumor-infiltrating CD8+ T cells in the tumor microenvironment [CD8+T] 27 samples shares cd8, immunity
- GSE234974 Pan-cancer mapping of single CD8+ T cell profiles reveals a TCF1:CXCR6 axis regulating CD28 co-stimulation and anti-tumor immunity I 24 samples shares cd8, immunity
- GSE299133 Host MTDH orchestrates liver lipid metabolism and CD8+ T cells to suppress antitumor immunity [Hepatocytes] 18 samples shares cd8, immunity
- GSE277610 Endothelial PD-L1 brakes CD8+ T cell exhaustion, empowering anti-tumor immunity in non-small cell lung cancer 17 samples shares cd8, immunity
- GSE252337 Dysfunction of infiltrating cytotoxic CD8+ T cells within the graft promotes murine kidney allotransplant tolerance 16 samples shares cd8, promotes
- GSE207029 Blockade of avb8 integrin synergizes with checkpoint inhibition to enhance anti-tumor immunity through Cxcl9-dependent augmentation of CD8+ T cell cytotoxicity 12 samples shares cd8, immunity
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.