Collections / Spatial transcriptomics of HIV-associated non-Hodgkin lymphomas by EBV status and cell of origin

Spatial transcriptomics of HIV-associated non-Hodgkin lymphomas by EBV status and cell of origin

Non-Hodgkin Lymphoma (NHL) is the main cancer-related mortality for people living with HIV (PLWH), who have elevated risk for lymphoma relative to the general population. NHL genetic and molecular classifications have been intensely studied and correlated with clinical outcomes, but critical unanswered questions relevant to malignancy persist. For example, tumors positive for Epstein-Barr virus (EBV) account for 30-50% of HIV-associated NHLs, are particularly aggressive, and have poorer clinical outcomes – yet insights on the nature of EBV in NHL pathogenesis or potential therapeutic vulnerabilities have been limited. Here, we examined HIV-associated NHLs stratified by cell of origin (COO), molecular subtype, and EBV status using genome-wide spatial transcriptomic analyses.

Datasets10
Size~1.1 GB
AssayVisium
Samplehuman · lymphoid tissue
KindComparison
Flag a data issue
PMID:41279969 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse274051")
cohort.members        # the 10 datasets as a table

print(cohort.licenses())              # check the terms before you download

sdatas = cohort.to_dict()             # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/")
Python · lamindb

Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="geo-gse274051")
coll.ordered_artifacts.to_dataframe()   # the 10 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse274051 --dest data/

Licenses: 10 NCBI GEO policy

Open in Vitessce
Visium
Human lymphoid tissue
GSM8442674
human lymphoid tissue non-Hodgkin lymphoma 63.2 MB 3,687 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelymphoid tissue
Conditionnon-Hodgkin lymphoma
Size63.2 MB
Spots3,687
Magnificationother · 5.328 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lymphoid tissue
GSM8442681
human lymphoid tissue non-Hodgkin lymphoma 257 MB 9,020 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelymphoid tissue
Conditionnon-Hodgkin lymphoma
Size257 MB
Spots9,020
Magnificationother · 6.885 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lymphoid tissue
GSM8442682
human lymphoid tissue non-Hodgkin lymphoma 47.5 MB 3,980 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelymphoid tissue
Conditionnon-Hodgkin lymphoma
Size47.5 MB
Spots3,980
Magnificationother · 4.489 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lymphoid tissue
GSM8442675
human lymphoid tissue non-Hodgkin lymphoma 164 MB 6,308 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelymphoid tissue
Conditionnon-Hodgkin lymphoma
Size164 MB
Spots6,308
Magnificationother · 7.421 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lymphoid tissue
GSM8442680
human lymphoid tissue non-Hodgkin lymphoma 17.9 MB 3,470 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelymphoid tissue
Conditionnon-Hodgkin lymphoma
Size17.9 MB
Spots3,470
Magnificationother · 2.999 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lymphoid tissue
GSM8442676
human lymphoid tissue non-Hodgkin lymphoma 142 MB 9,776 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelymphoid tissue
Conditionnon-Hodgkin lymphoma
Size142 MB
Spots9,776
Magnificationother · 6.262 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lymphoid tissue
GSM8442683
human lymphoid tissue non-Hodgkin lymphoma 93.0 MB 4,370 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelymphoid tissue
Conditionnon-Hodgkin lymphoma
Size93.0 MB
Spots4,370
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lymphoid tissue
GSM8442679
human lymphoid tissue non-Hodgkin lymphoma 214 MB 13,945 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelymphoid tissue
Conditionnon-Hodgkin lymphoma
Size214 MB
Spots13,945
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lymphoid tissue
GSM8442678
human lymphoid tissue non-Hodgkin lymphoma 70.7 MB 3,371 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelymphoid tissue
Conditionnon-Hodgkin lymphoma
Size70.7 MB
Spots3,371
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lymphoid tissue
GSM8442677
human lymphoid tissue non-Hodgkin lymphoma 48.6 MB 2,814 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelymphoid tissue
Conditionnon-Hodgkin lymphoma
Size48.6 MB
Spots2,814
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1101/2025.10.15.682084 ↗
BibTeX
@article{Chadburn_2025,
  title = {HIV-associated non-Hodgkin lymphoma tumor-microenvironment axes differ by EBV status across cellular origins},
  url = {http://dx.doi.org/10.1101/2025.10.15.682084},
  DOI = {10.1101/2025.10.15.682084},
  publisher = {openRxiv},
  author = {Chadburn, Amy and Aguilar Hernandez, Maria Montserrat and Dai, Joanne and Harrison, Mitra and Reinoso-Vizcaino, Nicolas M. and Barry, Ashley P. and Hocke, Emily and Abramson, Karen and Jain, Vaibhav and Chan, Cliburn and Cesarman, Ethel and Luftig, Micah A. and SoRelle, Elliott D.},
  year = {2025},
  month = Oct
}