Text · study · 2026
Dual host-pathogen screening of the lung during severe influenza using spatial transcriptomics
Listed in NCBI GEO
Here, we assessed whether spatially-resolved capture of polyadenylated mRNA permitted simultaneous screening of host and viral responses in situ.
Description
Fresh-frozen lung samples from mice infected with H1N1 influenza A strain, PR8, were processed via genome-wide, spatial transcriptomics (ST) at 10 μm resolution. To determine if specific cell-types were detectable within the ST data, we first performed cellular deconvolution using publicly available, single-cell RNA-seq data of immune and non-immune cells from PR8-infected lungs.
This revealed expected structures such as rings of epithelial cells lining airways, and at day 10 post-infection (p.i.) unexpected structures dominated by B cells. We next screened ST data alone for groups of genes displaying similar spatial expression patterns. This again identified at day 10 p.i. cellular aggregates enriched for genes associated with B cell biology.
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Mapping these gene signatures to a B cell transcriptomic atlas suggested plasmablasts had emerged early in the lung, which was confirmed by flow cytometry. Finally, by mapping ST data to the influenza A genome, we observed widespread expression of all ten viral transcripts across samples at day 4 but not day 10 p.i., consistent with viral clearance. Cellular deconvolution analysis at day 4 p.i. revealed proportions of every detected cell-type harboured viral transcripts, suggesting indiscriminate infection across the specific area of tissue examined.
Subsequent whole-section immunohistochemical assessment further supported the phenomenon of localised indiscriminate infection, with these areas found adjacent to minimally-infected zones. Thus, spatial screening of mRNA in tissues can simultaneously inform upon viral pathogenesis and host responses to infection.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE341nnn/GSE341918 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE341918 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1504813 ncbi.nlm.nih.gov/bioproject/PRJNA1504813 ↗
project · from NCBI GEO
Topics
- Stated by source
- Mus musculus · Other
- From keywords
- Life Sciences
- Inferred from text
- Genetics 72% · RNA sequencing 65% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE341918 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3105 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |