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Natural killer cells cooperate with neutrophils to suppress pathological angiogenesis in neovascular age-related macular degeneration

GSE271038 Mus musculus (mouse) Single-cell RNA-seq 22 samples Submitted 2024/10/31 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 22 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
Mus musculus (mouse)
Samples
22 samples: 5 conditions, mostly with about 4 replicates eachGroups 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.
Summary (written by the submitters)
Neovascular age-related macular degeneration (nvAMD) is the leading cause of blindness in the elderly population associated with focal inflammation, however, understanding of the precise immune components governing this process is still limited. Here, we identified natural killer (NK) cells as a prominent lymphocyte population infiltrating the perivascular space of choroidal neovascularization (CNV) lesions.
Read the full summary ↓
O-link analysis and single-cell RNA sequencing approaches identified CCR5-expressing NK cells is essential for further NK cell recruitment and extravasation in CNV site. NK cells suppress pathological angiogenesis via through clearance of senescent vasculatures, a process that requires neutrophil extracellular traps (NETs). Mechanistically, the release of NETs results from NKG2D-dependent NK cell activation and production of IFN-γ at CNV lesions. Notably , age is the strongest risk factor for AMD to an aged immune system; our human and mouse data showed that aged NK cells exhibited compromised protective effects. Additionally, expansion of NK cells by IL-2 complex improved CNV formation. Collectively, our results revealed a previously unrecognized role of NK cells in suppressing nvAMD progression, suggesting these cells as a potential target for future immune therapies for patients with nvAMD.
This dataset
Open GSE271038 in finder → Find more mouse 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 GSE271038_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 PRJNA1129460 and SRA study SRP516794. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly with about 4 replicates each
CNV_3D ×4 CNV_7D ×4 CNV_14D ×4 Rag2-/ ×3 Rag2-/-γc-/ ×3 C1 (without CNV) ×1 C2 (without CNV) ×1 C3 (without CNV) ×1 +1 more

Supports a between-group comparison across 18 samples.

How we read this: 5 replicated groups read from 22 sample titles; they account for 18 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.

Samples in this study
Datasets on a similar topic

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