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Profiling local translatomes and RNA binding proteins of somatosensory neurons reveals specializations of individual axons [TRAP-seq]

GSE289550 Mus musculus (mouse) RNA-seq (gene expression) 31 samples Submitted 2026/01/01 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 31 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
31 samples: 20 distinct titles, 4 of them repeatedGroups 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)
Individual neurons have one or more axons that often extend long distances and traverse multiple microenvironments, yet it is not known how the composition of individual axons is established or locally modulated to enable neuronal plasticity. Here, we use spatial translatomics to identify local axonal translatomes in anatomically and functionally specialized neurons in the dorsal root ganglia (DRG).
Read the full summary ↓
DRG neurons extend long central and peripheral axons in separate directions and through distinct microenvironments to enable somatosensation. Using Translating Ribosome Affinity Purification and RNA sequencing, we generated a comprehensive resource of mRNAs preferentially translated within each axon. Locally translated proteins include pain receptors, ion channels, and translational machinery, which establish distinct electrophysiologic properties and regenerative capacities for each axon. Furthermore, we identify RNA-binding proteins associated with sorting and transporting functionally related mRNAs. These findings provide resources for addressing how axonal translation shapes the spatial organization of neurons and enables subcellular neuroplasticity.
This dataset
Open GSE289550 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 GSE289550_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 PRJNA1223409 and SRA study SRP563747. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
20 distinct titles, 4 of them repeated
DRG Central Axon, Nav1.8-Cre;L10a-eGP-fl/fl, ×4 DRG Peripheral Axon, Nav1.8-Cre;L10a-eGP-fl/f… ×4 DRG Central Axon, L10a-eGP-fl/fl (neg ctrl), ×4 DRG Peripheral Axon, L10a-eGP-fl/fl (neg ctrl… ×3

How we read this: Read from 31 sample titles: 20 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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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.