GEO series

Non-alcoholic steatohepatitis causes selective CD4+ T cell loss and promotes hepatocarcinogenesis

GSE67918 Mus musculus (mouse) Expression microarray 12 samples Submitted 2016/03/10 Platform GPL16570

At a glance

Expression microarray · mouse · 12 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Mus musculus (mouse)
Samples: 12 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Hepatocellular carcinoma (HCC) is the second most common cause of cancer related death. NAFLD affects a large proportion of the US population. Its incidence and prevalence are increasing to epidemic proportions around the world and is known to increase the risk of HCC. We studied how intrahepatic lipids affect adaptive immunity and HCC development in different murine models of NASH and HCC.

Read the full summary ↓

Linoleic acid, a fatty acid found in NAFLD caused a selective loss of hepatic CD4+ but not CD8+ T cells leading to accelerated hepatocarcinogenesis. CD4+ T cells were more dependent on oxidative phosphorylation for energy source than CD8+ T cells, and disruption of oxidative phosphorylation by linoleic acid caused more severe damage in CD4+ T cells leading to selective loss of these cells. In vivo blockade of ROS using n-acetylcysteine reversed the NASH-induced hepatic CD4+ T cell decrease and delayed NASH-promoted HCC. Our results provide a new link between lipid metabolism and impaired anti-tumor surveillance.

This dataset

Open GSE67918 in finder → Find more mouse microarray datasets →

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.

Series matrix ↓

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 (GSE67918_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

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 PRJNA281238. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 26934227) ↗

Samples in this study

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

+ 12 more — browse all 12 samples with per-sample file links →

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