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Mex3a-dependent post-transcriptional silencing assures olfactory receptor diversity and axon guidance specificity [RNA-Seq]

GSE271029 Mus musculus (mouse) Single-cell RNA-seq 46 samples Submitted 2025/05/09 Platform GPL21626
At a glance

Single-cell RNA-seq · mouse · 46 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
46 samples: 46 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.
Summary (written by the submitters)
Singular olfactory receptor (OR) expression is critical for vertebrate olfaction because the sequence of the chosen OR protein determines both the receptive field and axon guidance properties of each olfactory sensory neuron (OSN). However, numerous single cell RNA-seq studies reveal that OSN progenitors co-transcribe seemingly random combinations of OR genes before a gradual transition to transcriptional singularity.
Read the full summary ↓
Here, we show that MEX3A, a RING and KH domain protein expressed during polygenic OR transcription, prevents efficient OR protein expression before the emergence of a prevalent, transcriptionally dominant OR allele. Consequently, MEX3A deletion enhances OR mRNA and OR protein abundance in OSN progenitors, resulting in premature induction of Perk signaling, biased OR gene choice, and OSN axon mistargeting. Our experiments uncover a novel, post-transcriptional mechanism of OR gene regulation that assures that the identity of the expressed OR can influence the identity of the OSN only at the onset of singular OR choice.
This dataset
Open GSE271029 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 GSE271029_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1129448 and SRA study SRP516788. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
46 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 46 sample titles: 46 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

+ 6 more — browse all 46 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.