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TMEM106B deficiency leads to alterations in lipid metabolism and obesity in the TDP-43Q331K knock-in mouse model

GSE287573 Mus musculus (mouse) RNA-seq (gene expression) 37 samples Submitted 2025/01/21 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 37 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
37 samples: 8 conditions, mostly with about 4 replicates eachGroups 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
TMEM106B deficiency leads to alterations in lipid metabolism and obesity in the TDP-43(Q331K) knock-in mouse modelCommunications biology · 2025
Summary (written by the submitters)
The TMEM106B gene, encoding a lysosomal membrane protein, is closely linked with brain aging and neurodegeneration. TMEM106B has been identified as a risk factor for several neurodegenerative diseases characterized by aggregation of the RNA-binding protein TDP-43, including frontotemporal lobar degeneration (FTLD) and limbic-predominant age-related TDP-43 encephalopathy (LATE).
Read the full summary ↓
To investigate the role of TMEM106B in TDP-43 proteinopathy, we ablated TMEM106B in the TDP-43Q331K knock-in mouse line, which expresses an ALS-linked TDP-43 mutation at endogenous levels. We found that TMEM106B deficiency leads to glial activation, Purkinje cell loss, and behavioral deficits in TDP-43Q331K mice without inducing typical TDP-43 pathology. Interestingly, ablation of TMEM106B results in significant body weight gain, increased fat deposition, and hepatic triglyceride (TG) accumulation in TDP-43Q331K mice. In addition, lipidomic and transcriptome analysis shows a profound alteration in lipid metabolism in the liver of TDP-43Q331KTmem106b-/- mice. Our studies reveal a novel function of TMEM106B and TDP-43 in lipid metabolism and provide new insights into their roles in neurodegeneration.
Published in
TMEM106B deficiency leads to alterations in lipid metabolism and obesity in the TDP-43(Q331K) knock-in mouse model
Yang C, Lee GB, Hao L et al. · Communications biology 2025 · PMID 40011708 · doi:10.1038/s42003-025-07752-2
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 GSE287573_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 PRJNA1213765 and SRA study SRP558731. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly with about 4 replicates each
Cortex,Q331K ×6 Cortex,WT ×5 Cortex,BKO ×5 Cortex,BKOQ331K ×5 Liver,WT ×4 Liver,Q331K ×4 Liver,BKO ×4 Liver,BKOQ331K ×4

Supports a between-group comparison across 37 samples.

How we read this: 8 replicated groups read from 37 sample titles; they account for 37 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
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