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Single-cell profiling of tumor infiltrating T cells

GSE89477 Mus musculus (mouse) Single-cell RNA-seq 384 samples Submitted 2017/11/26 Platform GPL19057
At a glance

Single-cell RNA-seq · mouse · 384 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
384 samples
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.
Summary (written by the submitters)
Immune checkpoint blockade has shown tremendous anti-tumor potential in the clinic. However, these therapies are only effective in a subset of patients, so identification of additional immunomodulatory molecules that enhance the anti-tumor activity of these treatments may expand their clinical utility. In particular, identifying small molecules that complement existing immunotherapies has been relatively unexplored, so we performed a small molecule screen to identify compounds that can enhance co-inhibitory molecule blockade, to improve the anti-tumor adaptive immune response.
Read the full summary ↓
Our unbiased screen identified inhibitors of cyclin-dependent kinase 4 and 6 (CDK4/6), including the FDA-approved palbociclib, as a class of small molecule compounds that exhibited significant immunostimulatory activity in vitro. In accordance with our in vitro finding of enhanced NFAT signaling, single-cell RNA-sequencing confirmed that in vivo exposure to CDK4/6 inhibitors enhanced NFAT signaling in tumor infiltrating T cells. Moreover, our results revealed that CDK4/6 inhibition up-regulated activation molecules and down-regulated suppressive molecules in these cells. CDK4/6 inhibition also increased the number of T cells with activated TCR (T cell receptor) signaling, as well as factors that are important for signal transduction downstream of TCR signaling. In summary, the impact of CDK4/6i on cell cycle progression and T cell proliferation are balanced favorably towards increased T cell recruitment and enhanced effector cell function, mediated in part by activation of the NFAT family of transcription factors. Further, our results demonstrate that CDK4/6i enhances PD-1 blockade through increased T-cell effector function and inhibition of immune suppressive cytokine production. While prolonged CDK4/6i treatment could be immunosuppressive due to adverse effects on lymphocyte proliferation, properly timed/sequenced CDK4/6i may potentiate the clinical impact of anti-PD-1/PD-L1 antibodies. As palbociclib is FDA-approved and multiple other CDK4/6 inhibitors are in clinical trials, we expect that this hypothesis will undergo rapid testing in humans.
This dataset
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.

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 GSE89477_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA352336 and SRA study SRP092523. Searching any of these in the dataset finder brings you back here.

Samples in this study

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