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Human CD127 negative ILC2s show immunological memory.

GSE267098 Homo sapiens (human) RNA-seq (gene expression) 1 samples Submitted 2024/05/20 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 1 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
1 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
Human CD127 negative ILC2s show immunological memoryThe Journal of experimental medicine · 2024
Summary (written by the submitters)
Group 2 Innate Lymphoid Cells (ILC2s) are key players in type 2 immunity and contribute to maintaining homeostasis and responding to inflammation. ILC2s are implicated in the development of type 2 inflammation-mediated chronic disorders like asthma. While memory ILC2s have been identified in mouse, it is unknown whether human ILC2s can acquire immunological memory.
Read the full summary ↓
Here, we demonstrate the persistence of CD45RO, a marker previously linked to inflammatory ILC2s, in resting ILC2s that have undergone prior activation. A high proportion of these cells concurrently reduce the expression of the canonical ILC marker CD127 in a tissue specific manner. Through isolation and in vitro stimulation of CD127- CD45RO+ ILC2s, we observed an augmented ability to proliferate and produce cytokines. CD127- CD45RO+ ILC2s are found in both healthy and inflamed tissues and display a gene signature of cell activation. Our findings suggest that human ILC2s can acquire innate immune memory and warrants a revision of the current strategies to identify human ILC2s.
Published in
Human CD127 negative ILC2s show immunological memory
Mathä L, Krabbendam L, Martinez Høyer S et al. · The Journal of experimental medicine 2024 · PMID 38889332 · doi:10.1084/jem.20231827
This dataset
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.

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 GSE267098_RAW.tar (it can run to tens of gigabytes).

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.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1109755 and SRA study SRP506780. Searching any of these in the dataset finder brings you back here.

Samples in this study

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