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Interferon receptor signaling pathways regulating PD-L1 and PD-L2 expression

GSE96619 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2017/05/09 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 10 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
Homo sapiens (human)
Samples
10 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)
We studied the molecules involved in downstream signaling induced by interferons to regulate PD- L1 and PD-L2 expression using a shRNA screen, Western blot, mRNAexpression profiling, promoter truncation analysis and chromatin immunoprecipitation.These studies revealed that the interferon gamma-JAK1/2-STAT1-IRF1 axis primarily regulates PD-L1 expression, with IRF1 binding to its promoter.
Read the full summary ↓
PD-L2 responded equally to interferon beta and gamma, and shared regulation through IRF1 and alsoSTAT3, which bind to the PD-L2 promoter. Analysis of biopsies from patients with melanoma confirmed interferon signature enrichment and upregulation of gene targets for STAT1/2/3 and IRF1 in anti-PD-1 responding tumors. Therefore, these studies map the signaling pathway of interferon-inducible PD-1 ligand expression
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 GSE96619_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: 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 PRJNA379183 and SRA study SRP101894. Searching any of these in the dataset finder brings you back here.

Samples in this study

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