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ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits [FACS_SpinalCord_Microglia & LPS_Brain_SpinalCord]

GSE290810 Mus musculus (mouse) RNA-seq (gene expression) 35 samples Submitted 2025/07/09 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 35 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
Mus musculus (mouse)
Samples
35 samples: 5 × uBT_SC_MG_4m_WT vs 5 × uBT_SC_MG_4m_KO vs 5 × uBT_SC_MG_22m_WT vs 4 × uBT_SC_MG_22m_KOGroups 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
ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in miceNature communications · 2025
Summary (written by the submitters)
TANK-Binding Kinase 1 (TBK1) is involved in autophagy and immune signaling. Dominant loss-of-function mutations in TBK1 are linked to Amyotrophic Lateral Sclerosis (ALS), Fronto-temporal dementia (FTD) and ALS/FTD. However, pathogenic mechanisms remain unclear, particularly the cell-type specific disease contributions of TBK1 mutations.
Read the full summary ↓
Here, we focus on cell-specific Tbk1 deletion in motor neurons or microglia. We find that deleting Tbk1 from mouse motor neurons does not induce transcriptional stress, despite lifelong signs of autophagy deregulations. Conversely, Tbk1 deletion in microglia alters their homeostasis and reactive responses. In both spinal cord and brain, Tbk1 deletion leads to a pro-inflammatory, primed microglial signature with features of ageing and neurodegeneration. While it does not induce or modify ALS-like motor neuron damage, microglial Tbk1 deletion causes early FTD-like social recognition deficits. This phenotype is linked to focal microglial activation and T cell infiltration in the substantia nigra pars reticulata and pallidum. Our results reveal that part of TBK1-linked FTD disease originates from microglial dysfunction.
Published in
ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice
Lenoel I, Ribon M, Lorenc F et al. · Nature communications 2025 · PMID 40858618 · doi:10.1038/s41467-025-63211-w
This dataset
Open GSE290810 in finder → Find more mouse 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 GSE290810_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 PRJNA1230156 and SRA study SRP567169. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40858618) ↗
Study design
5 × uBT_SC_MG_4m_WT vs 5 × uBT_SC_MG_4m_KO vs 5 × uBT_SC_MG_22m_WT vs 4 × uBT_SC_MG_22m_KO

Supports a between-group comparison across 19 samples.

How we read this: 4 replicated groups read from 35 sample titles; they account for 19 of them. 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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