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Transcriptomic profiling of mouse brain in PGRN KO, NesGrnOE-KOBG, EGFL7-PGRNdko and floxed control mice (Grnflfl)

GSE273083 Mus musculus (mouse) RNA-seq (gene expression) 28 samples Submitted 2026/03/11 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
28 samples: 28 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.
Paper
Selective neuronal restoration of progranulin does not prevent the frontotemporal dementia like-phenotype of progranulin knockout miceJournal of neuroinflammation · 2026
Summary (written by the submitters)
Transcriptomic profiling of mouse brain in old progranulin deficient mice with a complete loss of progranulin (PGRN KO), with restoration of neuronal progranulin (NesGrnOE-KOBG), in progranulin-EGFL7 double deficient mice (EGFL7-PGRNdko) and floxed control mice (Grnflfl) Genetic progranulin deficiency in humans causes Frontotemporal Dementia (FTD).
Read the full summary ↓
Progranulin knockout mice (PGRNko) are a model for the disease albeit cognitive impairment in mice is subtle. The predominant FTD-phenotype in mice are hyperactivity, sugar craving, compulsiveness, skin lesions owing to exessive grooming and general health issues in old mice such as anal prolaps. Progranulin in primarily expressed in neurons and in myeloid derived immune cells including microglia. Progranulin deficient microglia are neuron-aggressive and are believed to contribute to excessive synaptic pruning. It is not known if progranulin that is normally neurotrophic and keeps microglia in a neuron-supportive phenotype has to come from within microglia or is a progranulin-signal from neurons to microglia. To dissect out the differential contribution we generated mice which express progranulin in neurons via Nestin-driven restoration of progranulin expression in a progranulin knockout background. In addition we assessed additional deletion of EGFL7, which behaves as progranulin competitor for binding/activation of NOTCH receptors. Hence, this study describes and compared the transcriptome of old mice in four mouse lines: full progranulin knockout (PGRNko), neuronal resoration of PGRN on a knockout background (NesGrnOE-koBG), progranulin & EGFL7 double deletion (EGFL7-PGRNdko) and floxed progranulin control mice (Grn flfl). Mice were 60-70 weeks old at the the time of tissue collection. Total RNA was extracted with Qiagen RNAeasy micro-kits and sequencing librariers were prepared by Novogene according to standard protocols for mRNA sequencing. RNA seq was done on Illumina NovaSeq 6000. The sequence alignment was done with standard proceduers including quality filtering and adapter trimming with Qiagen's CLC Genomic Workbench. The TMM (trimmed mean od M-values) algorithm was used for read normalization. Total reads, RPKM and TPM are also provided in "Processed data" files.
Published in
Selective neuronal restoration of progranulin does not prevent the frontotemporal dementia like-phenotype of progranulin knockout mice
Weyer MP, Hahnefeld L, Franck L et al. · Journal of neuroinflammation 2026 · PMID 41520115 · doi:10.1186/s12974-025-03665-3
This dataset
Open GSE273083 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 GSE273083_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: 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 PRJNA1140131 and SRA study SRP522155. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41520115) ↗
Study design
28 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 28 sample titles: 28 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
Datasets on a similar topic

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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.