Distinct hepatocyte adaptations during gestation and lactation [pregnant_liver_mm10]
Single-cell RNA-seq · mouse · 31 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 31 samples: 31 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
- Hepatocyte metabolic adaptations during pregnancy and lactationCell · 2025
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 GSE294857_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 PRJNA1251709 and SRA study SRP579279. 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 31 sample titles: 31 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.
- GSM8927088 mouse hepatocyte, G0, scRNA-seq
- GSM8927089 mouse hepatocyte, G1.5, scRNA-seq
- GSM8927090 mouse hepatocyte, G3.5, scRNA-seq
- GSM8927091 mouse hepatocyte, G5.5, scRNA-seq
- GSM8927092 mouse hepatocyte, G8.5, scRNA-seq
- GSM8927093 mouse hepatocyte, G10.5, scRNA-seq
- GSM8927094 mouse hepatocyte, G12.5, scRNA-seq
- GSM8927095 mouse hepatocyte, G14.5, scRNA-seq
- GSM8927096 mouse hepatocyte, G16.5, scRNA-seq
- GSM8927097 mouse hepatocyte, G18.5, scRNA-seq
- GSM8927098 mouse hepatocyte, P0, scRNA-seq
- GSM8927099 mouse hepatocyte, P1-L, scRNA-seq
- GSM8927100 mouse hepatocyte, P2-L, scRNA-seq
- GSM8927101 mouse hepatocyte, P4-L, scRNA-seq
- GSM8927102 mouse hepatocyte, P7-L, scRNA-seq
- GSM8927103 mouse hepatocyte, P14-L, scRNA-seq
- GSM8927104 mouse hepatocyte, P21-L, scRNA-seq
- GSM8927105 mouse hepatocyte, P1-NL, scRNA-seq
- GSM8927106 mouse hepatocyte, P2-NL, scRNA-seq
- GSM8927107 mouse hepatocyte, P7-NL, scRNA-seq
- GSM8927108 mouse hepatocyte, P14-NL, scRNA-seq
- GSM8927109 mouse hepatocyte, G0, WT, scRNA-seq
- GSM8927110 mouse hepatocyte, G0, Il6stHMKO, scRNA-seq
- GSM8927111 mouse hepatocyte, G14.5, WT, scRNA-seq
- GSM8927112 mouse hepatocyte, G14.5, Il6stHMKO, scRNA-seq
- GSM8927113 mouse hepatocyte, P7-L+d1-NL, scRNA-seq
- GSM8927114 mouse hepatocyte, P7-L+d2-NL, scRNA-seq
- GSM8927115 mouse hepatocyte, P7-L+d4-NL, scRNA-seq
- GSM8927116 mouse hepatocyte, P7-L+d7-NL, scRNA-seq
- GSM8927117 mouse hepatocyte, P4L, WT, scRNA-seq
- GSM8927118 mouse hepatocyte, P4L, Acss2HMKO, scRNA-seq
- GSE294859 Distinct hepatocyte adaptations during gestation and lactation [pregnant_liver_mm10_CUT_RUN] 10 samples shares mm10, adaptations, hepatocyte, gestation, lactation, distinct, pregnant, liver
- GSE266938 Deletion of SWI/SNF ATPase activity in hepatocytes of adult liver disrupts circadian gene expression and central liver functions [RNAseq] 82 samples shares hepatocyte, liver
- GSE245632 Generation and characterization of mature hepatocyte organoids for liver metabolic studies 45 samples shares hepatocyte, liver
- GSE309118 Hepatocyte-specific epidermal growth factor receptor (EGFR) deletion attenuates acetaminophen-induced liver injury in mice 42 samples shares hepatocyte, liver
- GSE214616 Hepatocyte CCAAT/enhancer-binding protein alpha restricts liver fibrosis by inhibiting secreted phosphoprotein 1 expression 42 samples shares hepatocyte, liver
- GSE285614 Adipocyte death drives fat redistribution from adipocytes to hepatocytes in steatotic liver disease via S100A8+ macrophages [RNA-seq] 34 samples shares hepatocyte, liver
- GSE265783 Sub-optimal paternal diet at the time of mating perturbs maternal adaptations in the late gestation mouse 30 samples shares adaptations, gestation
- GSE240047 A Metabolic Switch Controlling Liver Cancer Evolution from Senescent NASH Hepatocytes 30 samples shares hepatocyte, liver
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.