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Screening ethnically diverse human embryonic stem cells identifies a chromosome 20 minimal amplicon conferring growth advantage

GSE33522 Homo sapiens (human) Genome variation profiling by SNP array; SNP genotyping by SNP array 263 samples Submitted 2011/11/12 Platform GPL8882
At a glance

human · 263 samples

Organism
Homo sapiens (human)
Samples
263 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
The International Stem Cell Initiative analyzed 127 human embryonic stem cell lines and 11 induced pluripotent cell lines, from 39 laboratories worldwide for genetic changes occurring during culture. Most cell lines were analyzed at an early and late passage. Population structure analysis from SNP detection revealed that the cell lines included representatives of all major ethnic groups.
Read the full summary ↓
Most lines remained karyotypically normal, but there was a progressive tendency to acquire changes on prolonged culture, commonly affecting chromosomes 1, 12, 17 and 20. DNA methylation patterns changed but haphazardly with no link to time in culture. Structural variants (SVs), below the level of standard chromosome banding, determined from the SNP arrays, also appeared sporadically but no common variants related to culture were observed on chromosomes 1, 12 and 17. However, overlapping SV gains acquired in the chromosome 20q11.21 region during extended culture were identified in over 20% of the cell lines. Three genes within the minimal shared region, ID1, BCL2L1, and HM13, are expressed in human ES cells, with BCL2L1 a strong candidate for driving this culture adaptation of ES cells.
This dataset
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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 (GSE33522_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA148805. Searching any of these in the dataset finder brings you back here.

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