← BioTransfer GEO Dataset Finder
GEO series

Transcriptome analysis of human airway stem cells at their early and late passages expanded in dual SMAD signaling inhibitors

GSE80408 Homo sapiens (human) Expression microarray 9 samples Submitted 2016/04/19 Platform GPL10558
At a glance

Expression microarray · human · 9 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
9 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
SUMMARY of the associated publication: Many adult epithelial stem cells cannot undergo prolonged expansion. This may be due to a cell autonomous limitation or a lack of necessary culture conditions. Thus far, the long-term culture of adult stem cells has required the use of Matrigel organoid culture or feeder co-culture systems. We demonstrate that the TGFbetaBMP/SMAD signaling pathway is highly active in the luminal cells of diverse p63+ basal cell-containing epithelia.
Read the full summary ↓
Indeed, the activation of SMAD signaling in airway stem cells causes their differentiation, while conversely, inhibition of SMAD signaling leads to stem cell hyperplasia and compromised differentiation. Consistently, TGFbetaBMP/SMAD signaling activation prevents mature cell dedifferentiation. Using pharmacologic dual SMAD inhibition, we developed a feeder-free culture system that allows the cloning of single airway basal stem cells and the expansion of airway stem cells from clinical non-invasively obtained samples with high efficiency. Furthermore, the expansion protocols are applicable not only to human cells but also to those of mouse, ferret, and pig. When differentiated epithelia are produced from expanded cells, they exhibit proper epithelial physiology, and respond to clinically relevant pharmacologic agents. Most remarkably, a very wide variety of functional adult epithelial basal stem cells can be expanded despite their differing origins. The goal of this microarray analysis: It has been shown that inhibition of TGFbeta signaling leads to tumorigenesis (e.g. Guasch et al., 2007, and others). It will be important to show whether the dual inhibited population assumes a tumorigenic status in the same or different manner compared to directly isolated progenitor cells. To address this concern, we have done comprehensive transcriptome analysis comparing gene expression signature of airway stem cells at their early and late passages. We do not find tumor-associated gene signatures during stem cell expansion.
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 (GSE80408_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 PRJNA318810. 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.

+ 9 more — browse all 9 samples with per-sample file links →

Datasets on a similar topic

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.