← BioTransfer GEO Dataset Finder
GEO series

Voluntary exercise suppresses tumor growth through exercise-directed recruitment and intratumoral infiltration of NK cells

GSE62628 Mus musculus (mouse) Expression microarray 10 samples Submitted 2016/07/21 Platform GPL6246
At a glance

Expression microarray · mouse · 10 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
10 samples: 5 × Exercise vs 5 × non-ExerciseGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Voluntary exercise reduces the risk of cancer and lowers the risk of disease recurrence. Yet the mechanisms for this protection remain to be elucidated. Here we demonstrate that exercise halves tumor growth through an exercise-dependent mobilization and intratumoral infiltration of NK cells in malignant melanoma. Using voluntary wheel running, we show that exercise prior to and during B16 tumor challenge reduced tumor growth by 67%, and this reduction was associated with increased inflammation and immune cell infiltrates, especially NK cells, in the tumors from exercising mice.
Read the full summary ↓
Depletion of NK cells blunted the exercise-dependent reduction in tumor growth. Moreover, during exercise, NK cells were engaged through an epinephrine-dependent mobilization to the circulation and redistributed to peripheral tissues through an IL-6 dependent mechanism. This study highlights the importance of exercise-dependent immune regulation in the control of malignant melanoma
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 (GSE62628_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 PRJNA264570. Searching any of these in the dataset finder brings you back here.

Study design
5 × Exercise vs 5 × non-Exercise

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.

Samples in this study
Datasets on a similar topic

Search all mouse microarray datasets in GEO →

Share this dataset

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.