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Discovery of novel recurrent mutations and rearrangements in early T-cell precursor acute lymphoblastic leukemia by whole genome sequencing

GSE28703 Homo sapiens (human) Expression microarray 52 samples Submitted 2011/11/23 Platform GPL13158
At a glance

Expression microarray · human · 52 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
52 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Early T-cell precursor acute lymphoblastic leukaemia (ETP ALL) is an aggressive malignancy of unknown genetic basis. We performed whole genome sequencing of tumour and normal DNA from 12 children with ETP ALL and assessed the frequency of somatic alterations in 52 ETP and 42 non-ETP T-ALL samples by sequencing and DNA copy number analysis.
Read the full summary ↓
ETP ALL was characterised by a high frequency of activating mutations in genes regulating cytokine receptor and Ras signalling (67% of cases; NRAS, KRAS, FLT3, IL7R, JAK3, JAK1, SH2B3 and BRAF); alterations disrupting haemopoietic development (58%; GATA3, ETV6, RUNX1, IKZF1, EP300); and inactivating mutations in histone modifying genes (48%; EZH2, EED, SUZ12, SETD2 and EP300). We also identified new targets of mutation including DNM2, ECT2L and RELN. Ten of 12 ETP ALL cases harboured chromosomal rearrangements, several of which complex and resulted in the expression of novel chimeric in-frame fusion genes disrupting haemopoietic regulators. Thus, similar to myeloid malignancies, mutations that drive proliferation, impair differentiation and disrupt histone modification are hallmarks of ETP ALL. Moreover, the global transcriptional profile of ETP ALL was similar to that of normal and myeloid leukaemia haemopoietic stem cells. These findings suggest that addition of myeloid-directed therapies might improve the poor outcome of ETP ALL.
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 (GSE28703_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 PRJNA138921. Searching any of these in the dataset finder brings you back here.

Samples in this study

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