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Surface Topography Enhances Differentiation of Mesenchymal Stem Cells Towards Osteogenic and Adipogenic Lineages

GSE61113 Homo sapiens (human) Expression microarray 9 samples Submitted 2015/08/25 Platform GPL16686

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)

Surface topography impacts on cell growth and differentiation, but it is not trivial to generate homogeneous surface structures and to define the specific morphological parameters of relevance. In this study, we have compared gene expression profiles of mesenchymal stem cells (MSCs) on nanostructured groove/ridge surfaces. Patterns were generated in polyimide using multi beam laser interference.

Read the full summary ↓

These structures affected cell size and orientation of human MSCs. Furthermore, the nano-patterns with a periodicity of 650 nm increased differentiation towards osteogenic and adipogenic lineages. However, in absence of differentiation media the surface structures did neither induce differentiation, nor lineage-specific gene expression changes – as assessed by genome wide gene expression profiles with Affymetrix microarray technology. Our results demonstrate that grooves and ridges at a periodicity of 650 nm enhance the propensity of MSCs to differentiate towards adipogenic and/or osteogenic lineages – but they do not directly govern lineage-specific gene expression changes.

This dataset

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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 (GSE61113_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 PRJNA260273. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 26026844) ↗

Samples in this study

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

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