GEO series

Age- and Tissue-dependent Diversity of Human Plasmacytoid Dendritic Cells Uncovers a Cycling Subset Dominant in Early Life and Cancer

GSE273852 Homo sapiens (human) Single-cell RNA-seq 13 samples Submitted 2026/04/27 Platform GPL18573

At a glance

Single-cell RNA-seq · human · 13 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: 13 samples: 8 distinct titles, 1 of them repeatedGroups 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: Age- and tissue-dependent diversity of human plasmacytoid dendritic cells uncovers a cycling subset dominant in early life and cancerImmunity · 2026

Summary (written by the submitters)

Plasmacytoid dendritic cells (pDCs) are innate sentinels that produce type I interferons (IFN-I) during infection. Here, we asked how developmental stage and tissue context shape human pDC transcriptional states. Single-cell RNA sequencing of pDCs from blood, thymus, lymph nodes, and tonsils across fetal, infant, and pediatric stages revealed tissue-enriched programs, including IFN-I-imprinted pDCs in the thymus, NFκB-imprinted pDCs in tonsils, and resting pDCs in blood and lymph nodes.

Read the full summary ↓

Across tissues, we identified a pDC subset characterized by prostaglandin D2 production and dopamine responsiveness, indicating a potential neuromodulatory axis. Cycling pDCs were abundant in fetal and infant lymphoid tissues and declined with age, while remaining enriched in bone marrow (BM) throughout life. Blastic pDC neoplasm associated with enrichment of cycling, mutation-bearing pDCs in the BM, suggesting that this niche serves as a reservoir for malignant pDCs. Thus, early in life, various lymphoid tissues can generate pDCs. This tissue-specific hematopoiesis may result in distinct cellular and functional outputs.

Published in

Age- and tissue-dependent diversity of human plasmacytoid dendritic cells uncovers a cycling subset dominant in early life and cancer

Antonova AU, Rodrigues PF, Mannie C et al. · Immunity 2026 · PMID 42061412 · doi:10.1016/j.immuni.2026.04.003

This dataset

Open GSE273852 in finder → Find more human RNA-seq datasets →

Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE273852_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1146036 and SRA study SRP525138. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42061412) ↗

Study design

8 distinct titles, 1 of them repeated

Multiple Tissue Donor, Dono ×6

How we read this: Read from 13 sample titles: 8 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.

Samples in this study

GSM8447817 Blood, Replicate 1, scRNAseq
GSM8447819 Thymus, Replicate 1, scRNAseq
GSM8447820 Thymus, Replicate 2, scRNAseq
GSM8447822 Multiple Tissue Donor, Donor 1
GSM8447823 Multiple Tissue Donor, Donor 2
GSM8447824 Multiple Tissue Donor, Donor 3
GSM8447825 Multiple Tissue Donor, Donor 4
GSM8447826 Multiple Tissue Donor, Donor 5
GSM8447827 Multiple Tissue Donor, Donor 6
GSM9703619 Tonsil, Replicate 1, scRNAseq
GSM9703620 Tonsil, Replicate 2, scRNAseq
GSM9703621 Tonsil, Replicate 3, scRNAseq
GSM9703622 Blood, Replicate 2, scRNAseq

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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.