The immune checkpoint TIGIT is upregulated on T cells during bacterial infection and is a potential target for immunotherapy
RNA-seq (gene expression) · mouse · 24 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
- 24 samples: 6 × Infected KO vs 6 × Infected WT vs 5 × Naïve KO vs 5 × Naïve WTGroups 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
- The immune checkpoint TIGIT is upregulated on T cells during bacterial infection and is a potential target for immunotherapyImmunology and cell biology · 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 GSE234086_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 PRJNA980088 and SRA study SRP441092. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 6 samples read as cases, 7 as controls.
How we read this: 4 replicated groups read from 24 sample titles; they account for 22 of them. 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.
- GSM7445402 Infected KO 11 Infected KO
- GSM7445403 Infected KO 12 Infected KO
- GSM7445404 Infected KO 30 Infected KO
- GSM7445405 Infected KO 31 Infected KO
- GSM7445406 Infected KO 32 Infected KO
- GSM7445407 Infected KO 33 Infected KO
- GSM7445408 Infected WT 11 Infected WT
- GSM7445409 Infected WT 12 Infected WT
- GSM7445410 Infected WT 30 Infected WT
- GSM7445411 Infected WT 31 Infected WT
- GSM7445412 Infected WT 32 Infected WT
- GSM7445413 Infected WT 33 Infected WT
- GSM7445414 Naïve KO 20 Naïve KO
- GSM7445415 Naïve KO 22 Naïve KO
- GSM7445416 Naive KO 40
- GSM7445417 Naïve KO 41 Naïve KO
- GSM7445418 Naïve KO 42 Naïve KO
- GSM7445419 Naïve KO 43 Naïve KO
- GSM7445420 Naïve WT 20 Naïve WT
- GSM7445421 Naïve WT 22 Naïve WT
- GSM7445422 Naive WT 40
- GSM7445423 Naïve WT 41 Naïve WT
- GSM7445424 Naïve WT 42 Naïve WT
- GSM7445425 Naïve WT 43 Naïve WT
- GSE263274 Insights into the mechanisms of serplulimab: a distinctive anti-PD-1 monoclonal antibody, in combination with a TIGIT or LAG3 inhibitor in preclinical tumor immunotherapy studies 45 samples shares tigit, immunotherapy
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares checkpoint, target
- GSE281467 Coactivation of innate immune suppressive cells induces acquired resistance against cancer immunotherapy targeting the innate immune system [TIICs RNA-seq] 30 samples shares immunotherapy, target
- GSE283694 Bacterial immunotherapy leveraging IL-10R hysteresis for both phagocytosis evasion and tumor immunity revitalization [RNA-seq] 21 samples shares immunotherapy, bacterial
- GSE274960 Targeting NTRK1 Enhances Immune Checkpoint Inhibitor Efficacy in NTRK1 Wild-type Non-Small Cell Lung Cancer 19 samples shares checkpoint, target
- GSE281466 Coactivation of innate immune suppressive cells induces acquired resistance against cancer immunotherapy targeting the innate immune system [TME RNA-seq] 18 samples shares immunotherapy, target
- GSE275780 Dual Targeting of STING and PI3Kγ Eliminates Regulatory B Cells to Overcome STING Resistance for Pancreatic Cancer Immunotherapy [RNA-seq] 17 samples shares immunotherapy, target
- GSE249759 In vivo CRISPR screens identify Mga as an immunotherapy target in triple-negative breast cancer 12 samples shares immunotherapy, target
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.