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MAPT-derived circTau6 induces tau pathogenesis and neurodegeneration by encoding Tau variants

GSE329170 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/05/05 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 5 × con vs 5 × T6Groups 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)
Imbalanced accumulation of microtubule-associated protein tau containing three or four repeat domains (3R or 4R tau species) is a core feature of tauopathies, which may result from alternative splicing of the MAPT mRNA. However, specific mechanisms yielding the imbalance were underinvestigated. Here, we identify a circular RNA (circTau6) derived from the MAPT gene in the human brain.
Read the full summary ↓
CircTau6 was rolling-translated into novel 4R tau variants containing the second microtubule-binding repeat, namely cTau4R. The cTau4R proteins were intrinsically hyperphosphorylated and promoted phosphorylation of naive tau proteins derived from linear MAPT mRNA. Upregulation of cTau4R led to deposition of 4R and phosphorylated tau forms in human MAPT knock-in mice (hMAPT mice), accompanied by neuronal and synaptic damages, neuroinflammation, and cognitive deficits. Further, CircTau6 overexpression partially recapitulated molecular signatures that were seen in human tauopathic brains, and its expression was directly regulated by tauopathy-associated MAPT mutations. These findings identify the circTau6/cTau4R as an important post-transcriptional mechanism modulating tauopathy, which may be therapeutically targeted.
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 GSE329170_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 PRJNA1458083 and SRA study SRP695178. Searching any of these in the dataset finder brings you back here.

Study design
5 × con vs 5 × T6

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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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