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Global profiling of human hair follicle scalp dermal papilla cells using Affymetrix microarrays

GSE44765 Homo sapiens (human) Expression microarray 18 samples Submitted 2013/10/20 Platform GPL570
At a glance

Expression microarray · human · 18 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
18 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Dermal papilla cells isolated from the human hair follicle are capable of inducing hair growth in recipient epithelia. However, demonstrating disparity from rodent dermal papilla, human cells lose this inductive competance immediately upon growth in culture under normal growth conditions. We grew dermal papilla cells in hanging drop cultures that are morphologically akin to intact dermal papilla, and found that by enhancing the environment for aggregation, we could restore the inductive capacity of human dermal papilla cells in culture.
Read the full summary ↓
The underlying genes that regulate the inductive potential of dermal papilla cells is not well understood, and we sought to use global profiling to identify key genes and pathways related to inductive competance within dermal papilla cells. We used Affymetrix microarrays to profile human dermal papilla cells in both hair inducing, and non-hair inducing states.
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 (GSE44765_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 PRJNA191608. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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