Comparison of FOLR2-negative and FOLR2-positive human decidual macrophages at term
Single-cell RNA-seq · human · 12 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
- 12 samples: 6 × FOLR2_pos_dono vs 6 × FOLR2_neg_donoGroups 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.
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 GSE337384_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 PRJNA1484994 and SRA study SRP714699. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 2 replicated groups read from 12 sample titles; they account for 12 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.
- GSM9854103 FOLR2_pos_donor_44 FOLR2_pos_dono
- GSM9854104 FOLR2_pos_donor_45 FOLR2_pos_dono
- GSM9854105 FOLR2_pos_donor_46 FOLR2_pos_dono
- GSM9854106 FOLR2_pos_donor_47 FOLR2_pos_dono
- GSM9854107 FOLR2_neg_donor_44 FOLR2_neg_dono
- GSM9854108 FOLR2_neg_donor_45 FOLR2_neg_dono
- GSM9854109 FOLR2_neg_donor_46 FOLR2_neg_dono
- GSM9854110 FOLR2_neg_donor_47 FOLR2_neg_dono
- GSM9854111 FOLR2_pos_donor_48 FOLR2_pos_dono
- GSM9854112 FOLR2_neg_donor_48 FOLR2_neg_dono
- GSM9854113 FOLR2_pos_donor_49 FOLR2_pos_dono
- GSM9854114 FOLR2_neg_donor_49 FOLR2_neg_dono
- GSE293032 Transcriptomic comparison of hepatocytes derived from a panel of human induced pluripotent stem cells with different ethnicities 54 samples shares comparison
- GSE260777 Cloning and comparison of human P63+ progenitor cells from various lung diseases [bulkRNA-seq] 44 samples shares comparison
- GSE272396 Endogenously produced itaconate negatively regulates innate-driven cytokine production and drives global ubiquitination in human macrophages 36 samples shares macrophages
- GSE335752 Characterization of human M2-like (TGFbeta/IL10) vs M0 monocyte-derived macrophages 36 samples shares macrophages
- GSE311629 Biomimetic model of human small airways reveals functional impacts of the cystic fibrosis microenvironment on monocytes and macrophages 35 samples shares macrophages
- GSE313992 Comparative Immunotoxicity and Transcriptomic Profiling of Seven PFAS in THP-1 Macrophages 252 samples shares macrophages
- GSE281471 Targeting CD206+ macrophages disrupts the establishment of a key anti-tumor immune axis [Bulk RNA-seq] 243 samples shares macrophages
- GSE336141 Systematic transcriptomic comparison of the time-serial interferon responses in two widely used human cell lines 30 samples shares comparison
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.