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Impact of Fc engineering on the transcriptional profile of monocytes and interstitial macrophages in the lungs of Hu-FcgR Tg mice after MA30 infection

GSE313869 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2025/12/15 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 36 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
Mus musculus (mouse)
Samples
36 samples: 36 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.
Summary (written by the submitters)
As the SARS-CoV-2 pandemic progressed, many monoclonal antibodies (mAbs) that neutralized infection against initial strains lost potency against later variants due to accumulation of mutations in the spike protein. Nonetheless, some mAbs, including S309, the parent of the therapeutically used sotrovimab, remained protective in animals against Omicron variants despite reduced neutralizing potential, with Fc-mediated effector functions likely sustaining inhibitory activity.
Read the full summary ↓
Here, we identify Fc variants of S309 that confer enhanced protection against SARS-CoV-2 infection in a humanized Fcg receptor transgenic (Hu-FcgR Tg) mouse model of infection. Versions of S309 that are afucosylated (AFUC) and contain a G236A (GA) mutation in the Fc region showed increased binding to FcgRs IIA, IIIA, and IIIB and enhanced phagocytic activity in cell culture-based assays. Treatment with S309-GA-AFUC resulted in less viral burden, inflammation, and pulmonary ventilatory dysfunction in the lungs of Hu-FcgR Tg mice challenged with SARS-CoV-2 strains compared to the parental S309 mAb or a variant (S309-GRLR) lacking Fc effector functions. The enhanced protection in the lung conferred by S309-GA-AFUC required trafficking of CCR2-expressing monocytes to reduce SARS-CoV-2 viral burden and lung injury. Flow cytometry and RNA sequencing analyses showed that compared to the parental S309 mAb, S309-GA-AFUC treatment reduced the inflammatory state and induced a reparative transcriptional signature in monocytes and interstitial macrophages. Overall, our findings demonstrate that Fc engineering to increase antibody binding to activating FcgRs can strengthen effector functions, shape myeloid transcriptional profiles, and enhance protection against SARS-CoV-2 infection in vivo.
This dataset
Open GSE313869 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 GSE313869_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: 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 PRJNA1381704 and SRA study SRP655339. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
36 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 36 sample titles: 36 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

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