GEO series

Soluble DLK1 secreted by telomere-shortening-induced senescent microglia impairs oligodendrocyte functions and alters neuronal activity [DLK1_snRNA-seq]

GSE315101 Homo sapiens (human) Single-nucleus RNA-seq 27 samples Submitted 2026/07/09 Platform GPL24247Platform GPL24676

At a glance

Single-nucleus RNA-seq · human · 27 samples

What it is: Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
Organism: Homo sapiens (human)
Samples: 27 samples: 6 conditions, mostly in triplicateGroups 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)

Aging is a predominant risk factor of neurodegenerative disorders such as Alzheimer’s and Parkinson’s disease. Here, we investigated the impact of telomere shortening, a physiological hallmark of aging, on brain function. Telomere-shortened mice exhibited cognitive decline and exacerbated lipofuscinosis, accompanied by the emergence of senescent microglia with a senescence-associated secretory phenotype and oligodendrocyte lineage cells with impaired maturation.

Read the full summary ↓

Using iPSC-derived microglia with shortened telomeres, we identified DLK1 as a novel senescence-associated ligand secreted by senescent microglia. Elevated soluble DLK1 was detected in the cerebrospinal fluid of both telomere-shortened and physiologically aged mice, and this increase was abolished by microglial depletion, confirming its microglial origin. Functionally, AAV-mediated expression of sDLK1 in mouse brains induced hypomyelination and disrupted oligodendrocyte differentiation in vivo. In human iPSC-derived systems, sDLK1 impaired late-stage oligodendrocyte maturation and disrupted neuronal calcium signaling. Together, these findings establish replicative microglial senescence as a pathological feature of telomere shortening and identify sDLK1 as one key effector linking senescent microglia to oligodendrocyte dysfunction and neuronal dysregulation during brain aging.

This dataset

Open GSE315101 in finder → Find more 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 GSE315101_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 PRJNA1394999 and SRA study SRP658561. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

6 conditions, mostly in triplicate

LG180 ×8 Ctrl ×3 sDLK ×3 LG145 ×3 WT_F ×3 LG107 ×3 Mouse ×1 Mouse_F ×1 +2 more

Supports a between-group comparison across 23 samples.

How we read this: 6 replicated groups read from 27 sample titles; they account for 23 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

GSM9421172 LG180_758 LG180
GSM9421173 LG180_764 LG180
GSM9421174 LG180_768 LG180
GSM9421175 LG180_769 LG180
GSM9421176 LG180_784 LG180
GSM9421177 LG180_785 LG180
GSM9421178 LG180_787 LG180
GSM9421179 LG180_864 LG180
GSM9421180 Ctrl_1 Ctrl
GSM9421181 Ctrl_2 Ctrl
GSM9421182 Ctrl_3 Ctrl
GSM9421183 sDLK_1 sDLK
GSM9421184 sDLK_2 sDLK
GSM9421185 sDLK_3 sDLK
GSM9421186 LG145_132 LG145
GSM9421187 LG145_134 LG145
GSM9421188 LG145_136 LG145
GSM9421189 Mouse-147
GSM9421190 Mouse_F1
GSM9421191 Mouse_F3_146
GSM9421192 Mouse_wt
GSM9421193 WT_F4 WT_F
GSM9421194 WT_F5 WT_F
GSM9421195 WT_F9 WT_F
GSM9867567 LG107_168 LG107
GSM9867568 LG107_169 LG107
GSM9867569 LG107_191 LG107

Datasets on a similar topic

GSE222951 Titration of RAS alters senescent state and influences tumour initiation 58 samples shares senescent
GSE235246 Senescent cancer-associated fibroblasts in pancreatic adenocarcinoma impair CD8+ T cell activation and responsiveness to immunotherapy in mice 38 samples shares senescent
GSE288534 Targeting Senescent Hepatocytes for Treatment of Metabolic Dysfunction-associated Steatotic Liver Disease and Multi-organ Dysfunction 24 samples shares senescent
GSE235233 Senescent cancer-associated fibroblasts in pancreatic adenocarcinoma suppress CD8+ T cell activation and inhibit response to immune checkpoint therapy [Cultured_Human_Mouse] 16 samples shares senescent
GSE264231 MeRIP-seq analysis of replicative senescent MEFs and WI-38 cells 16 samples shares senescent
GSE238093 Loss of an oligodendrocyte specific silencer element provides a framework to assess the pathogenic impact of lamin B1 structural variants 7 samples shares oligodendrocyte

Search all 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.