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H3B-8800, a novel oral splicing modulator, induces lethality in spliceosome mutant cancers [K562]

GSE94528 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2017/12/20 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
12 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)
Genomic analyses of cancer have identified recurrent point mutations in the RNA splicing factors SF3B1, U2AF1, and SRSF2 that confer an alteration of function. Although cells bearing these mutations are preferentially dependent on wild-type (WT) spliceosome function, clinical means to therapeutically target the spliceosome do not currently exist.
Read the full summary ↓
Here, we describe an orally available modulator of the SF3b complex, H3B-8800, which potently and selectively kills spliceosome-mutant epithelial and hematologic malignancies. The effects of H3B-8800 are entirely selective for the Sf3b complex, as evidenced by the identification of drug-resistant cells bearing mutations in Sf3b components. Although H3B-8800 modulates RNA splicing mediated by WT or cancer-associated SF3B1 mutants, its preferential effects on spliceosome-mutant cells is due to preferred retention of short, GC-rich introns, which are enriched in genes encoding a substantial number of spliceosome components. These data demonstrate the therapeutic potential of splicing modulation in spliceosome-mutant cancers.
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 GSE94528_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.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA371421 and SRA study SRP098887. Searching any of these in the dataset finder brings you back here.

Samples in this study

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