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Wiskott-Aldrich Syndrome-causative mutations disrupt alternative splicing and promote gene networks predisposed to hematologic malignancies

GSE77129 Homo sapiens (human) RNA-seq (gene expression) 5 samples Submitted 2019/01/01 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 5 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
5 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)
Wiskott-Aldrich syndrome (WAS) is characterized by X-linked thrombocytopenia, eczema, immunodeficiency, recurrent infections and increased risk of autoimmunity and malignancies. WAS is caused by mutations in the WAS gene, which encodes the exclusively hematopoietic WAS protein (WASp) that is classically characterized as aν actin nucleator.
Read the full summary ↓
However, disruption of F-actin polymerization by WAS mutations can not account for many aspects of WAS pathogenesis. Ignorance of other functions of WASP precludes in-depth understanding of the pathogenic effects of mutant WASP, and therefore hampers development of effective therapy. Here we generated induced pluripotent stem cells (iPSCs) from WAS patients (WAS-iPSC) bearing different mutations and corresponding isogenic iPSCs in which the pathogenic mutations had been corrected by targeted genome editing. Hematopoietic cells differentiated from WAS-iPSCs not only recapitulated known disease phenotypes, but also revealed novel defects of WASP deficient cells. WASP co-localized with nuclear pores, nucleoli, nuclear speckles and PML bodies by immunocytochemistry and/or serial block face scanning microscopy (SBF-SEM). MudPIT (multi-dimensional protein identification technology) analysis revealed that WASP physically interacted with nuclear body components, nuclear structural proteins, chromatin modifying complexes, and many RNA-binding proteins including major components of the spliceosome. Next-generation sequencing captured a dramatic global change of alternative splicing in WAS patient cells. WAS mutation impacted splicing of multiple genes frequently mutated in myelodysplastic syndrome and other cancers. RNA sequencing showed that WAS-iPSC derived immune cells misregulated many cell cycle regulators, tumor suppressors, immune function genes and splicing factors, and activated gene networks that drive cancer development and inflammatory diseases. Together these data uncovered previously unappreciated functions of the WASP and provided a mechanistic understanding of the pathogenesis of malignancy and autoimmunity in the most severe form of WAS. These new knowledge could help develop targeted therapy for WAS in the future.
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 GSE77129_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 PRJNA309524 and SRA study SRP068772. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 5 more — browse all 5 samples with per-sample file links →

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