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Comparison of gene expression changes in TSA tumors following different radiation regimens.

GSE83915 Mus musculus (mouse) Expression microarray 18 samples Submitted 2017/06/09 Platform GPL11202
At a glance

Expression microarray · mouse · 18 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
18 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Radiotherapy is under investigation in the clinic for its ability to induce an in situ vaccine and enhance responses to immune checkpoint inhibitors and other immunotherapies. A variety of radiation doses and delivery schedules have been used to induce anti-tumor T cells in preclinical studies. However, the mechanisms bu which radiation induces anti-tumor T cells against poorly immunogenic tumors remain incompletely understood.
Read the full summary ↓
In this study, we investigated changes in gene expression in mouse mammary carcinoma TSA tumors after a single dose (SD) of 20 Gy and a multi-fraction (MF) radiation regimen of 3x8Gy. To this end, TSA cells were injected into syngeneic BALB/c mice. When tumors became palpable, they were treated with local radiation therapy (RT) and harvested 4 or 24 hours later for gene expression analysis. The genome-wide microarray analysis showed key differences between SD and MF RT that may explain the differential ability of these two RT regimens to synergize with immune checkpoint inhibitors (Dewan et al., Clin Cancer Res 2009).
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE83915_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA327399. Searching any of these in the dataset finder brings you back here.

Samples in this study

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