Normal and Oropharyngeal-carcinoma derived monocyte responses to OPC-cell line conditioned media.
Single-cell RNA-seq · human · 2 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
- 2 samples
- 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
- Oropharyngeal carcinomas induce circulating monocytes to express a TAM-like pro-tumor expression profile that suppresses T-cell proliferationFrontiers in immunology · 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 GSE281098_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 PRJNA1182284 and SRA study SRP543271. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 2 more — browse all 2 samples with per-sample file links →
- GSE232628 Expansion of profibrotic monocyte-derived alveolar macrophages in patients with persistent respiratory symptoms and radiographic abnormalities after COVID-19 46 samples shares monocyte, derived, normal
- GSE232627 Expansion of profibrotic monocyte-derived alveolar macrophages in patients with persistent respiratory symptoms and radiographic abnormalities after COVID-19 [PASC] 30 samples shares monocyte, derived, normal
- GSE300680 A streamlined and comprehensive protocol for the generation and multi-omic analysis of human monocyte-derived macrophages [bulk RNA-Seq] 20 samples shares monocyte, derived, line
- GSE279915 Complexity of synovial fluid-derived monocyte–macrophage lineage cells in knee osteoarthritis 12 samples shares monocyte, derived, line
- GSE266236 Effect of siRNA-mediated GSK3 knock-down on the transcriptional signature of human GM-CSF-dependent monocyte-derived macrophages 12 samples shares monocyte, derived, media
- GSE269009 RNA-seq of monocyte derived macrophages and dendritic cells in a Peruvian Tuberculosis cohort 227 samples shares monocyte, derived
- GSE335752 Characterization of human M2-like (TGFbeta/IL10) vs M0 monocyte-derived macrophages 36 samples shares monocyte, derived
- GSE303609 Dermatomyositis is characterized by JAK1-mediated monocyte-driven vasculopathy and inflammation 34 samples shares monocyte, media
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.