GEO series

Gene expression profiling unravels cancer-related hepatic molecular signatures in steatohepatitis but not in steatosis

GSE33814 Homo sapiens (human) Expression microarray 44 samples Submitted 2012/12/10 Platform GPL6884

At a glance

Expression microarray · human · 44 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 44 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Pathogenesis and factors for determining progression of alcoholic and non-alcoholic steatosis to steatohepatitis with risk of further progression to liver cirrhosis and cancer are poorly understood. In the present study, we aimed to identify potential molecular signatures for discrimination of steatohepatitis from steatosis. Global gene expression analysis was applied to unravel differentially expressed genes between steatohepatitis compared to steatosis and control samples.

Read the full summary ↓

For functional annotation as well as the identification of disease-relevant biological processes of the differentially expressed genes the gene ontology (GO) database was used. Genes down-regulated in steatohepatitis were mainly involved in metabolic processes. Genes up-regulated in steatohepatitis samples were associated with cancer progression and proliferation. Further statistical and pathway analysis lead to the selection of 46 candidate genes which were validated in two sample cohorts by quantitative real-time PCR. In surgical liver resection samples 39 genes and in percutaneous liver biopsies 30 genes were significantly up-regulated in steatohepatitis. Conclusion: The development of steatohepatitis is characterized by distinct molecular changes.

This dataset

Open GSE33814 in finder → Find more human 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 (GSE33814_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 PRJNA148141. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 23071592) ↗

Samples in this study

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

+ 44 more — browse all 44 samples with per-sample file links →

Datasets on a similar topic

GSE274114 Metabolic dysfunction-associated steatohepatitis reduces interferon and macrophage liver gene signatures in chronic HBV patients 39 samples shares steatohepatitis, signatures
GSE58445 Gene expression signatures delineate biological and prognostic subgroups in peripheral T-cell lymphoma 193 samples shares signatures
GSE299043 Multimodal profiling reveals tissue-directed signatures of human immune cells altered with age 654 samples shares signatures
GSE86469 Single cell transcriptomics defines human islet cell signatures and reveals cell-type-specific expression changes in type 2 diabetes [single cell] 638 samples shares signatures
GSE286042 Transcriptomic and Proteomic Signatures Following AS03-adjuvanted Influenza A/H7N9 Vaccine 1232 samples shares signatures
GSE270387 Single cell profiling of peripheral blood mononuclear cells in diverse men with prostate cancer reveals lethal disease-associated immune signatures 165 samples shares signatures
GSE261648 Unraveling Novel Drug candidate for ALS through an Integrative Network Analysis of approved Drug-Gene Expression Signatures in Human Pluripotent Stem Cell-Based Model 151 samples shares signatures
GSE253279 Single-Cell Gene Expression Profiling reveals distinct exhaustion and senescence signatures in T cells across various types of male infertility 15 samples shares signatures

Search all human 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.