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Activation of polo-like kinase 1 correlates with selective motor neuron vulnerability in familial ALS

GSE272827 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/08/27 Platform GPL18573
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: 12 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.
Paper
Activation of polo-like kinase 1 correlates with selective motor neuron vulnerability in familial ALSCell reports · 2025
Summary (written by the submitters)
Mutations in the Fused in Sarcoma (FUS) gene cause familial amyotrophic lateral sclerosis (ALS), characterized by selective degeneration of spinal motor neurons (sMNs) with relative sparing of cortical neurons (CNs). The mechanisms underlying this cell-type vulnerability remain unclear. Here, we compare CNs and sMNs derived from FUS-ALS models to assess differential responses to FUS mutations.
Read the full summary ↓
We find that CNs are less affected than sMNs in DNA damage repair, axonal organelle trafficking, and stress granule dynamics. RNA sequencing (RNA-seq) reveals distinct transcriptomic signatures, with sMNs uniquely activating DNA damage responses involving cell cycle regulators, particularly polo-like kinase 1 (PLK1). PLK1 is highly expressed in sMNs but not CNs, correlating with greater nuclear FUS loss and splicing defects in sMNs. Cross-comparison with other familial ALS RNA-seq datasets highlights PLK1 upregulation as a shared molecular feature. These findings identify intrinsic differences between CNs and sMNs in FUS-ALS and suggest PLK1 as a potential driver of sMN vulnerability.
Published in
Activation of polo-like kinase 1 correlates with selective motor neuron vulnerability in familial ALS
Szewczyk B, Zimyanin V, Japtok J et al. · Cell reports 2025 · PMID 40857153 · doi:10.1016/j.celrep.2025.116113
This dataset
Open GSE272827 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE272827_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1138888 and SRA study SRP521474. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40857153) ↗
Study design
12 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 12 sample titles: 12 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
Datasets on a similar topic

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