Table · study · 2026
Multiomics immune profiling of a patient-relevant orthotopic lung cancer model using SEPARATE-Seq [MERSCOPE]
Listed in NCBI GEO
Relevant pre-clinical models are essential for driving progress in cancer therapy research.
Description
Here, we developed a pre-clinical study framework using an injectable orthotopic lung adenocarcinoma (LUAD) model (ORTHO) that replicates key features of human LUAD patients and is dissectible into tumoural and non-tumoural adjacent tissue, in analogy with patient samples. We also present SEPARATE-Seq, a technique enabling the partitioning of vascular and intratissue immune cells along with scRNA-Seq.
By applying both SEPARATE-Seq and spatial transcriptomics to our dissectible ORTHO model, we confirmed that our model replicates key immune features of human LUAD patients. Similarly to these patients, we observed NK-cell dysfunction and neutrophil dichotomy, and uncovered that these are driven by their vascular/intratissue or tumour/adjacent location, highlighting the need for these spatial distinctions. Additionally, we reveal that several immune populations are restricted to specialised, local niches within the tumour, including a ring of lipid-associated TAMs lining the tumour edge and hubs of interferon-stimulated cells.
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Overall, our resource, available through an interactive tool, provides a comprehensive multiomics immune characterisation of a reproducible pre-clinical LUAD mouse model.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE325nnn/GSE325769 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE325769 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1441587 ncbi.nlm.nih.gov/bioproject/PRJNA1441587 ↗
project · from NCBI GEO
- PubMed 42026061 pubmed.ncbi.nlm.nih.gov/42026061 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Mus musculus · Other
- From keywords
- Life Sciences
- Inferred from text
- Biochemistry and cell biology 70% · Cancer 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE325769 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3101 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| 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: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 |