Omics · study · 2026
Distinct Dynamics and Composition of Endogenous Neuronal RNA Granules
Listed in NCBI GEO
RNA granules are essential regulators of post-transcriptional gene expression, enabling mRNA transport, localization and local translation in neurons.
Description
The localized transcriptome is diverse; however, how different mRNAs are organized into granules for efficient localization and translation remains unknown. Here, we combine real time single RNA imaging with protein and RNA proximity labeling to investigate two endogenous neuronal mRNA granule populations, Actb and Arc, in stimulated primary hippocampal neurons.
Using orthogonal RNA labeling systems in a dual knock-in mouse model, we show that Actb and Arc mRNAs are packaged into spatially segregated granules with distinct trafficking dynamics, localization kinetics, and responses to synaptic stimulation. While Actb granules displayed rapid and sustained localization, whereas Arc granules showed delayed, transient recruitment, consistent with their respective roles in structural and activity-dependent plasticity.
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Proximity labeling reveals that these granules are entirely distinct in their RNA signatures, despite sharing core RNA-binding proteins. Using motif analysis, we propose that shared cis-regulatory elements may drive selective co-packaging of mRNAs into unique granules. Together, these findings demonstrate that neuronal mRNAs are differentially sorted into molecularly and functionally distinct granules, providing a framework for understanding how precise spatio-temporal control of mRNA localization and translation is achieved across complex neuronal arbors.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE326nnn/GSE326430 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE326430 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1445255 ncbi.nlm.nih.gov/bioproject/PRJNA1445255 ↗
project · from NCBI GEO
- PubMed 42094434 pubmed.ncbi.nlm.nih.gov/42094434 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Imaging 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE326430 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:imaging | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |