Data · dataset · 2026
Spatial profiling identifies a distinct and topographically-defined tumor microenvironment that emerges during multiple myeloma evolution
Listed in Teesside University Research Data Repository
This dataset includes RDS files containing unprocessed and processed Xenium spatial transcriptomic data, imaging mass cytometry data, and image masks.
Description
The data were generated and analyzed as part of the study by Koops et al. (Spatial profiling identifies a distinct and topographically-defined tumor microenvironment that emerges during multiple myeloma evolution, Blood Cancer Discovery, 2026), focusing on the tumor microenvironment across the myeloma disease spectrum.
The complete raw dataset is available through the Gene Expression Omnibus (GEO) under accession number GSE345302.The accompanying Xenium metadata CSV file provides the information required to link the metadata provided in this dataset to the corresponding raw data files in GEO. Because the data are provided as an integrated object, basic cell identifiers may occur in more than one sample. Metadata should therefore be transferred using the GEO accession number (or tissue slide) together with the cell_id_base metadata column, rather than using the basic cell identifier alone.
Links
Where it is published
- DOI doi.org/10.17632/8bcwmrxp6w.3 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Mass spectrometry
Related
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/8bcwmrxp6w.3 | 17 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:imaging | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:mass-spectrometry | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Proteomics'] |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |