Single-cell landscape of peripheral immune cells in MAFLD/MASH
Single-cell RNA-seq · human · 68 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 68 samples: 5 conditions, mostly with about 21 replicates eachGroups 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
- Single-cell landscape of peripheral immune cells in MASLD/MASHHepatology communications · 2025
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 GSE267195_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 PRJNA1110221 and SRA study SRP506556. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 48 samples read as cases, 20 as controls.
How we read this: 5 replicated groups read from 68 sample titles; they account for 68 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.
- GSM8258728 Liver_patient_10 Liver_patient
- GSM8258729 Liver_patient_18 Liver_patient
- GSM8258730 Liver_patient_7 Liver_patient
- GSM8258731 Liver_patient_4 Liver_patient
- GSM8258732 Liver_patient_14 Liver_patient
- GSM8258733 Liver_patient_9 Liver_patient
- GSM8258734 Liver_patient_8 Liver_patient
- GSM8258735 Liver_patient_6 Liver_patient
- GSM8258736 Liver_patient_12 Liver_patient
- GSM8258737 Liver_patient_17 Liver_patient
- GSM8258738 Liver_patient_11 Liver_patient
- GSM8258739 Liver_patient_13 Liver_patient
- GSM8258740 Liver_patient_16 Liver_patient
- GSM8258741 Liver_patient_21 Liver_patient
- GSM8258742 Liver_patient_20 Liver_patient
- GSM8258743 Liver_patient_15 Liver_patient
- GSM8258744 Liver_patient_19 Liver_patient
- GSM8258745 Liver_patient_36 Liver_patient
- GSM8258746 Blood_patient_1 Blood_patient
- GSM8258747 Blood_patient_2 Blood_patient
- GSM8258748 Blood_patient_3 Blood_patient
- GSM8258749 Blood_patient_4 Blood_patient
- GSM8258750 Blood_patient_5 Blood_patient
- GSM8258751 Blood_patient_6 Blood_patient
- GSM8258752 Blood_patient_7 Blood_patient
- GSM8258753 Blood_patient_8 Blood_patient
- GSM8258754 Blood_patient_9 Blood_patient
- GSM8258755 Blood_patient_10 Blood_patient
- GSM8258756 Blood_patient_11 Blood_patient
- GSM8258757 Blood_control_1 Blood_control
- GSM8258758 Blood_control_2 Blood_control
- GSM8258759 Blood_patient_12 Blood_patient
- GSM8258760 Blood_control_3 Blood_control
- GSM8258761 Blood_control_4 Blood_control
- GSM8258762 Blood_control_5 Blood_control
- GSM8258763 Blood_control_6 Blood_control
- GSM8258764 Blood_control_7 Blood_control
- GSM8258765 Blood_patient_13 Blood_patient
- GSM8258766 Blood_control_8 Blood_control
- GSM8258767 Blood_control_9 Blood_control
+ 28 more — browse all 68 samples with per-sample file links →
- GSE254176 Dynamic changes of immune cells in systemic lupus erythematosus with nephritis using longitudinal peripheral blood single-cell RNA-seq 57 samples shares single-cell, peripheral
- GSE277469 Integrated single-cell chromatin and transcriptomic analyses of human peripheral immune cells in patients with alopecia areata. 32 samples shares single-cell, peripheral
- GSE243013 A single-cell atlas of immune heterogeneity in anti-PD1-treated non-small cell lung cancer 243 samples shares single-cell
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples shares single-cell
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares peripheral
- GSE277524 Single-cell dissection of multifocal bladder cancer reveals malignant and immune cells variation between primary and recurrence tumor lesions 10 samples shares single-cell
- GSE255312 Spatial transcriptomics landscape for liver from patients with metabolic dysfunction-associated steatohepatitis (MASH) 72 samples shares mash
- GSE269877 Single-cell RNA-sequencing of BCG naïve and recurrent non-muscle invasive bladder cancer reveals a CD6/ALCAM-mediated immune-suppressive pathway 38 samples shares single-cell
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.