← BioTransfer GEO Dataset Finder
GEO series

Decoding at single cell resolution the molecular and functional program of pathogenic Th2 cells subsets in humans

GSE240865 Homo sapiens (human) Single-cell RNA-seq 18 samples Submitted 2024/05/29 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 18 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
18 samples: 18 samples, each with a distinct title — no replicated groupsGroups 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 molecular signature of pathogenic T helper subsets in type 2-associated disorders in humansJCI insight · 2024
Summary (written by the submitters)
Unraveling the diversity of Th2 effector cells subsets may help us to understand their pathogenic role in Type-2 associated inflammatory disorders, including allergic diseases and helminth infections. To characterize the heterogeneity and function of these effector Th2 cells, we analyzed 47 subjects’ PBMCs [23 filarial-infected (Fil+) with or without coincident HDM sensitization (Fil+HDM+ n=12; Fil+HDM-, n=11) and 24 subjects without filarial infection (Fil-) (Fil-HDM+ n=12; and Fil-HDM-, n=12) using multiparameter flow cytometry and two-level FlowSOM analysis.
Read the full summary ↓
The frequency of 3 memory CD4+ T cell clusters, including CCR4+CCR6+CRTH2- (subset 1), CCR4+CCR6-CRTH2+ (subset 2), and CCR6+CCR4+CRTH2+ (subset 3) were markedly enriched among Fil+ subjects. The functional characterization indicated subset 2 and 3 as distinct Th2 cytokine producers, which together were responsible for the majority of IL-4, IL-5, or IL-13 produced among the Fil+ subjects. These subsets were sorted and analyzed by multiomic single cell RNA profiling. Indeed, both subset 2 and subset 3 presented features of pathogenic Th2 effector cells based on their single cell molecular signature, including downregulation of cd27 and high expression levels of itga4, il-17rb, hpgds, klrb1, ptgdr2, il-9r, il-4, il5 and il-13 genes when compared with conventional Th2 cells from healthy controls. When the Fil+ subjects were divided based on allergic status, the Fil+HDM+ subjects had an expansion of both subset 2 (3.19% vs 1.28%, p=0.001) and subset 3 (0.39% vs 0.15%, p=0.002) Th2 cells when compared with Fil+HDM-. Gene expression analysis further demonstrated that concomitant HDM sensitization in the presence of filarial infection reshaped the molecular program of these pathogenic effector Th2 subsets by even further upregulating the expression of gata3, il17rb, clrf2, and klrb1. Notably, Fil+HDM+ patients’ cells showed higher responsiveness to filarial or HDM antigenic stimulation, producing even higher levels of IL-4, IL-5 and IL-13 when compared with Fil+HDM- patients. This distinct molecular and functional program of Th2 effector cells subsets sheds new light on the Th2 cell plasticity and their contribution to immune regulation in helminth infection and allergic diseases.
Published in
Single-cell molecular signature of pathogenic T helper subsets in type 2-associated disorders in humans
Gazzinelli-Guimaraes PH, Dulek B, Swanson P et al. · JCI insight 2024 · PMID 38587077 · doi:10.1172/jci.insight.177720
This dataset
Open GSE240865 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 GSE240865_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 PRJNA1005606 and SRA study SRP455214. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38587077) ↗
Study design
18 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 9 samples read as cases, 9 as controls.

How we read this: Read from 18 sample titles: 18 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
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.