← BioTransfer GEO Dataset Finder
GEO series

Fasting Cycles Retard Growth of Tumors and Sensitize a Range of Cancer Cell Types to Chemotherapy

GSE28556 Mus musculus (mouse) Expression microarray 24 samples Submitted 2012/03/21 Platform GPL6885
At a glance

Expression microarray · mouse · 24 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
24 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Short-term starvation (STS or fasting) provides protection to normal cells, mice, and possibly patients from a variety of chemotherapy drugs, but the possibility that it may also protect tumor cells renders its translational potential uncertain. Here we show that fasting cycles can be as effective as toxic chemotherapy drugs, and increase chemotherapy efficacy in the treatment of melanoma, glioma, breast cancer, and neuroblastoma.
Read the full summary ↓
In vitro, STS sensitizes to chemotherapy 15 of the 17 cancer cell lines tested. In combination with chemotherapy STS results in a synergistic 20-fold increase in DNA damage, increased phosphorylation of pro-aging genes AKT and S6 kinase, reduced expression of stress resistance transcription factors FOXO3a and NFkB, elevated superoxide, and activated caspase-3; all changes not observed in normal tissues. Several of these effects are linked to the activity of heme oxygenase 1 (HO-1), whose modulation was sufficient to regulate chemotherapy-dependent cell death in breast cancer cells. These studies suggest that multiple fasting cycles have the potential to replace certain toxic chemotherapy drugs and to sensitize a wide range of tumors to chemotherapy.
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 (GSE28556_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 PRJNA139071. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 24 more — browse all 24 samples with per-sample file links →

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.