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Transcriptomic characterization of in vitro human iPSC-derived motor neuron systems for the exploration of cell autonomous mechanisms and modifiers of TDP-43 perturbation associated neurotoxicity

GSE261875 Homo sapiens (human) RNA-seq (gene expression) 32 samples Submitted 2024/03/23 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 32 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
32 samples: 32 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
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)
Transactive Response DNA-binding protein 43 (TDP-43) is a multifunctional nuclear protein ubiquitously expressed in all tissues. Although it is primarily nuclear, Amyotrophic Lateral Sclerosis (ALS) patients frequently present with cytoplasmic aggregates of TDP-43 in motor neurons on post-mortem examination. Although only about 5% of all ALS patients have a TARDBP mutation (Ghasemi and Brown 2018; Ingre et al.
Read the full summary ↓
2015), which is known to cause these insoluble cytoplasmic aggregates, 97% of ALS patients will develop cytoplasmic, insoluble TDP-43 aggregates regardless of whether they have a mutation in TARDBP or not (Ling et al. 2013). Overexpression of wild-type TDP-43 has previously been shown to be a valid model of inducing neurotoxicity as well as a limited amount of cytoplasmic re-localization and aggregation characteristic of ALS (Elden et al. 2010; Wils et al. 2010). In the search for modifiers of toxicity as conferred by TDP-43 overexpression in these models, knockout of Ataxin-2 (ATXN2) was proposed as a protective intervention in the context of TDP-43 perturbation in non-human model systems (Elden et al. 2010, Becker et al. 2017). This promising finding had not previously been validated in a human motor neuron system, nor had a thorough investigation been conducted to determine the mechanism of neuroprotection that ATXN2 knockout employs to drive the therapeutic effect. This sequencing study examines both ATXN2 intact and ATXN2 knockout motor neurons in the context of TDP-43 perturbation to explore global transcriptomic changes that arise from these changes in cellular state that are associated with progression of ALS (ATXN2 intact) and what pathways could be implicated in protection from ALS-associated neurodegeneration (ATXN2 Knockout).
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 GSE261875_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 PRJNA1089256 and SRA study SRP496259. Searching any of these in the dataset finder brings you back here.

Study design
32 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 32 sample titles: 32 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.