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p63+/Krt5+ Distal Airway Stem Cells are Essential for Lung Regeneration (before and after in vitro differentiation)

GSE60828 Mus musculus (mouse) Expression microarray 12 samples Submitted 2014/11/20 Platform GPL6193
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)
The possibility of lung regeneration has been long discounted due to the irreversible nature of chronic lung diseases. However, patients who sustain massive loss of lung tissue during acute infections often recover full pulmonary function. Correspondingly, we previously demonstrated lung regeneration in mice following H1N1 influenza virus infection and implicated p63+Krt5+ distal airway stem cells, or DASCp63/Krt5, in this process.
Read the full summary ↓
We show here that rare, preexisting DASCp63/K5 undergo a proliferative expansion in response to influenza and lineage-trace to nascent alveoli assembled at sites of interstitial inflammation. We also show that the ablation of DASCp63/Krt5 in vivo prevents the regeneration of lung tissue following influenza leading to pre-fibrotic lesions and deficient oxygen exchange. Finally, we demonstrate that exogenously cloned and propagated DASCp63/Krt5 readily contribute to lung regeneration following transplantation. The transplanted DASC ameliorated influenza-induced lung injury. These data suggest that DASCp63/K5 are required for lung regeneration and may have therapeutic utility in acute and chronic lung diseases.
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 (GSE60828_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 PRJNA259662. Searching any of these in the dataset finder brings you back here.

Samples in this study

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