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An East-Asian polymorphism underlies BCR-ABL mutation-independent resistance to tyrosine kinase inhibitors in chronic myelogenous leukemia

GSE28303 Homo sapiens (human) Genome variation profiling by high throughput sequencing 6 samples Submitted 2012/02/27 Platform GPL9138Platform GPL9442
At a glance

human · 6 samples

Organism
Homo sapiens (human)
Topic
Chronic myeloid leukemiaThis series is part of our curated briefing on it.
Samples
6 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
We used massively parallel DNA sequencing of paired-end ditags (DNA-PET) to identify structural genetic factors associated with disease progression and drug-resistance in representative samples from four CML patients and one CML cell line. The functional consequences of our genetic findings were evaluated in primary CML cells and cell lines, and validated in a larger CML cohort.
Read the full summary ↓
We discovered a novel intronic deletion that correlated with imatinib-resistance, and was subsequently confirmed to be a polymorphism in normal East-Asian, but not African or Caucasian, populations. We found that the polymorphism favored expression of transcripts lacking a pro-apoptotic domain, which is critical for imatinib-induced cell death. A CML cell line containing the polymorphism also exhibited BCR-ABL-independent imatinib-resistance.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, 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, or the whole study as GSE28303_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Also filed as BioProject PRJNA139493 and SRA study SRP006673. Searching any of these in the dataset finder brings you back here.

Samples in this study

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