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In vitro expansion of human gastric epithelial stem cells and their primary response to bacterial infection

GSE60557 Homo sapiens (human) Expression microarray 19 samples Submitted 2014/10/13 Platform GPL16686
At a glance

Expression microarray · human · 19 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
19 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
We previously established long-term 3D organoid culture systems for several murine tissues (intestine, stomach, pancreas and liver) as well as human intestine and pancreas. Here, we describe culture conditions to generate long-term 3D culture from human gastric stem cells. The technology can be applied to study the epithelial response to infection with Helicobacter pylori.
Read the full summary ↓
Human gastric cultures can expand indefinitely in 3D Matrigel. Cultures can be generated from normal tissue, from single sorted stem cells, or from tumor tissue. Organoids maintain many characteristics of the respective tissue in terms of histology, marker expression and euploidy. Organoids from normal tissue express markers of four lineages of the stomach and self-organize in gland and pit-domains. They can be directed to specifically express either lineages of the gastric gland, or the gastric pit by addition of Nicotinamide and withdrawal of Wnt. While gastric pit lineages react marginally to bacterial infection, gastric gland lineages mount a strong inflammatory response. The gastric culture system provides a unique tool to study gastric pathologies.
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 (GSE60557_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 PRJNA258536. Searching any of these in the dataset finder brings you back here.

Samples in this study

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