Distinct circulating monocytes up-regulate CD52 and sustain innate immune function in patients with cirrhosis unless acute decompensation emerges
Single-cell RNA-seq · human · 15 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
- Homo sapiens (human)
- Samples
- 15 samples: 9 × patient vs 6 × healthy_controlGroups 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
- Circulating monocytes upregulate CD52 and sustain innate immune function in cirrhosis unless acute decompensation emergesJournal of hepatology · 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 GSE263100_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 PRJNA1095842. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 9 samples read as cases, 6 as controls.
How we read this: 2 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8185774 patient_7 patient
- GSM8185775 patient_8 patient
- GSM8185776 healthy_control_4 healthy_control
- GSM8185777 patient_4 patient
- GSM8185778 patient_9 patient
- GSM8185779 healthy_control_1 healthy_control
- GSM8185780 healthy_control_5 healthy_control
- GSM8185781 patient_1 patient
- GSM8185782 patient_5 patient
- GSM8185783 healthy_control_2 healthy_control
- GSM8185784 patient_2 patient
- GSM8185785 healthy_control_3 healthy_control
- GSM8185786 patient_3 patient
- GSM8185787 healthy_control_6 healthy_control
- GSM8185788 patient_10 patient
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- GSE295173 Multi-modal single-cell sequencing reveals network transition in circulating monocytes that aligns with faster recovery in trauma patients and favors a response to M-CSF [scRNA-Seq] 30 samples shares circulating, monocytes
- GSE294225 Transcriptional profiles are dramatically altered in circulating CD14+ monocytes in Rheumatoid Arthritis [RNA-seq] 24 samples shares circulating, monocytes
- GSE290104 Circulating monocytes from patients promote calcific aortic valve disease development 15 samples shares circulating, monocytes
- GSE269338 Single-cell transcriptome analysis reveals atypical monocytes circulating ahead of acute graft-versus-host disease clinical onset 14 samples shares circulating, monocytes
- GSE228306 Wnt signaling regulates chemokine production and cell migration of circulating human monocytes 12 samples shares circulating, monocytes
- GSE248693 Interpretable Inflammation Landscape of Circulating Immune cells (ILCIC_cirrhosis) 4 samples shares circulating, cirrhosis
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.