GEO series

Generation of Stem Cell-Derived β Cells from Type 1 Diabetic Patients

GSE70901 Homo sapiens (human) Expression microarray 16 samples Submitted 2016/04/01 Platform GPL10558

At a glance

Expression microarray · human · 16 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 16 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

We recently reported the scalable in vitro production of functional stem cell-derived β cells. Here we extend this approach to generate SC-β cells from Type 1 diabetic patients (T1D), a cell type that is destroyed during disease progression and has not been possible to extensively study. These cells express β cell markers, respond to glucose both in vitro and in vivo, prevent alloxan-induced diabetes in mice, and respond to anti-diabetic drugs.

Read the full summary ↓

Furthermore, we use an in vitro disease model to demonstrate the cells respond to different forms of β cell stress. Using these assays, we find no major differences in T1D SC-β cells compared to SC-β cells derived from non-diabetic patients (ND). These results show that T1D SC-β cells can be used for the treatment of diabetes, drug screening, and the study of β cell biology.

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 (GSE70901_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 PRJNA289894. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 27163171) ↗

Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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