Kupffer cells control neonatal hepatic glucose metabolism via Igf1 signaling [3' scRNA-seq]
Single-cell RNA-seq · mouse · 11 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 11 samples: 11 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
- Kupffer cells control neonatal hepatic metabolism via Igf1 signalingDevelopment (Cambridge, England) · 2026
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 GSE285047_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: 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 PRJNA1201110 and SRA study SRP552959. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 11 sample titles: 11 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.
- GSM8695796 WT mouse 1 replicate 1 hepatocytes 3' scRNAseq
- GSM8695797 KO mouse 1 replicate 1 hepatocytes 3' scRNAseq
- GSM8695798 KO mouse 1 replicate 1 liver immune cells 3' scRNAseq
- GSM8695799 WT mouse 1 replicate 2 liver immune cells 3' scRNAseq
- GSM8695800 KO mouse 2 replicate 1 liver immune cells 3' scRNAseq
- GSM8695801 WT mouse 1 replicate 2 hepatocytes 3' scRNAseq
- GSM8695802 WT mouse 1 replicate 1 liver imune cells 3' scRNAseq
- GSM8695803 WT mouse 2 replicate 1 hepatocytes 3' scRNAseq
- GSM8695804 WT mouse 2 replicate 1 liver immune cells 3' scRNAseq
- GSM8695805 KO mouse 1 replicate 2 liver immune cells 3' scRNAseq
- GSM8695806 KO mouse 1 replicate 3 liver immune cells 3' scRNAseq
- GSE274183 A novel noninvasive murine model of neonatal hypoxic ischemic encephalopathy demonstrates developmental delay and motor deficits with activation of inflammatory pathways in monocytes [scRNA-seq] 24 samples shares scrna-seq, neonatal
- GSE286094 Loss of ATG7 in Microglia Impairs UPR, Triggers Ferroptosis and Weakens Amyloid Pathology Control [scRNA-seq] 11 samples shares scrna-seq, control
- GSE315482 Single-Cell Multi-omics Profiling of Mouse Hepatic Immune Microenvironment Reveals Neutrophil-Kupffer Cell Crosstalk via Thrombospondin-1/CD36 after Surgical Stress 10 samples shares kupffer, hepatic
- GSE326641 Ubiquitin-like proteins NEDD8 and SUMO2 control epithelial homeostasis, regeneration, and inflammation [scRNA-seq] 8 samples shares scrna-seq, control
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares scrna-seq
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares scrna-seq
- GSE213104 Gene expression profile at single cell level of Merkel cells from embryonic, neonatal and postnatal mouse skin 1057 samples shares neonatal
- GSE271100 Stem cells tightly regulate dead cell clearance to maintain tissue fitness [scRNA-seq] 1037 samples shares scrna-seq
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.