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The LncRNA 3222401L13Rik Is Upregulated in Aging Astrocytes and Regulates Neuronal Support Function Through Interaction with Npas3 [young]

GSE286099 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/01/12 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 × young, glia, vs 6 × young, neurons, vs 6 × old, glia,Groups 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
lncRNA Glelr modulates microglia inflammatory programs in association with PU.1Neurobiology of disease · 2026
Summary (written by the submitters)
Aging is linked to a decline in cognitive functions and significantly increases the risk of neurodegenerative diseases. While molecular changes in all central nervous system (CNS) cell types contribute to aging-related cognitive decline, the mechanisms driving disease development or offering protection remain poorly understood. Long non-coding RNAs (lncRNAs) have emerged as key regulators of cellular functions and gene expression, yet their roles in aging, particularly within glial cells, are not well characterized.
Read the full summary ↓
In this study, we investigated lncRNA expression profiles in non-neuronal cells from aged mice. We identified 3222401L13Rik, a previously unstudied lncRNA enriched in glial cells, as being specifically upregulated in astrocytes during aging. Knockdown of 3222401L13Rik in primary astrocytes revealed its critical role in regulating genes essential for neuronal support and synapse organization. This function was also conserved in human iPSC-derived astrocytes. Additionally, we found that 3222401L13Rik mediates its cellular effects through interaction with the transcription factor Neuronal PAS Domain Protein 3 (Npas3), and that overexpression of Npas3 effectively rescued the functional deficits observed in astrocytes lacking 3222401L13Rik. Our findings suggest that upregulation of 3222401L13Rik in aging astrocytes acts as a compensatory mechanism to enhance neuronal and synaptic support, potentially delaying the onset of molecular and structural changes in both astrocytes and neurons. Strategies to boost 3222401L13Rik expression earlier in life may help mitigate age-associated loss of neuronal plasticity.
Published in
lncRNA Glelr modulates microglia inflammatory programs in association with PU.1
Pradhan R, Sakib MS, Kaurani L et al. · Neurobiology of disease 2026 · PMID 41895620 · doi:10.1016/j.nbd.2026.107366
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 GSE286099_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 PRJNA1207923 and SRA study SRP556006. Searching any of these in the dataset finder brings you back here.

Study design
6 × young, glia, vs 6 × young, neurons, vs 6 × old, glia,

Supports a between-group comparison across 18 samples.

How we read this: 3 replicated groups read from 18 sample titles; they account for 18 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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