Soluble DLK1 secreted by telomere-shortening-induced senescent microglia impairs oligodendrocyte functions and alters neuronal activity(ipsc_cell)
RNA-seq (gene expression) · human · 28 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
- Homo sapiens (human)
- Samples
- 28 samples
- 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.
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE315100_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1395000 and SRA study SRP658572. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run bal_001 … bal_028 and carry no group information.
- GSM9421144 bal_001
- GSM9421145 bal_002
- GSM9421146 bal_003
- GSM9421147 bal_004
- GSM9421148 bal_005
- GSM9421149 bal_006
- GSM9421150 bal_007
- GSM9421151 bal_008
- GSM9421152 bal_009
- GSM9421153 bal_010
- GSM9421154 bal_011
- GSM9421155 bal_012
- GSM9421156 bal_013
- GSM9421157 bal_014
- GSM9421158 bal_015
- GSM9421159 bal_016
- GSM9421160 bal_017
- GSM9421161 bal_018
- GSM9421162 bal_019
- GSM9421163 bal_020
- GSM9421164 bal_021
- GSM9421165 bal_022
- GSM9421166 bal_023
- GSM9421167 bal_024
- GSM9421168 bal_025
- GSM9421169 bal_026
- GSM9421170 bal_027
- GSM9421171 bal_028
- GSE330283 Endothelial transcriptome remodeling by young and senescent MSCs depends on co-culture mode, ECM, and secreted factors 27 samples shares senescent, secreted
- GSE249301 Cardiomyocytes and stromal cells cross-talk influences the pathogenesis of arrhythmogenic cardiomyopathy: a multi-level analysis uncovers DLK1-NOTCH pathway role in fibro-adipose remodeling 12 samples shares dlk1
- GSE286393 Dlk1 is a novel adrenocortical stem/progenitor cell marker that predicts malignancy in adrenocortical carcinoma [ssRNA-Seq] 12 samples shares dlk1
- GSE294644 Identification of the Notch ligand DLK1 as an immunotherapeutic target and regulator of tumor cell plasticity and chemoresistance in adrenocortical carcinoma 7 samples shares dlk1
- GSE329677 DNA damage drives a unique, Alzheimer’s disease-relevant senescent state in neurons 231 samples shares senescent
- GSE288484 Transcriptional network analysis of PTEN protein-deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication 197 samples shares senescent
- GSE284666 SenCat: Redefining human cell senescence through multiomic profiling of multiple senescent cell types 190 samples shares senescent
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples shares oligodendrocyte
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.