Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Lunaris
Dataset . 2025
License: CC BY
Data sources: Lunaris
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

10x Visium Spatial Transcriptomics Dataset: Kidney (3) and Lung (5) Cancer with Tertiary Lymphoid Structures

Authors: Dawo, Sebastian; Nonchev, Kalin; Silina, Karina;

10x Visium Spatial Transcriptomics Dataset: Kidney (3) and Lung (5) Cancer with Tertiary Lymphoid Structures

Abstract

The kidney and lung cancer dataset with tertiary lymphoid structures (TLS) consists of 5 μm thick FFPE sections from kidney (3) and lung (5) tumors obtained from the Institute of Pathology at the University Hospital of Zurich, mounted onto Visium slides with the Human Probe Set v1. The samples were stained with hematoxylin and eosin (H&E) and subsequently processed for sequencing following the manufacturer's recommendations. After library preparation, the samples were sequenced on an Illumina NovaSeq 6000 and preprocessed using Space Ranger v2.1.0. Patient analyses were conducted in accordance with the Declaration of Helsinki. Ethical approval for performing research on anonymized, archival patient material was obtained from the Cantonal Ethics Commission of Zurich (BASEC Nr. 2022-01854 and BASEC Nr. 2024-01428). Spatial transcriptomics sequencing was performed at the Functional Genomics Center Zurich (FGCZ) of University of Zurich and ETH Zurich. The Visium spots were annotated in the corresponding H&E images by expert researchers (K.S. and S.D.) and included manual annotations with the following labels: TLS, Immune, Tumor, Normal, and Unassigned. Data samples include KC[1-3] indicating kidney cancer and LC[1-5] indicating lung cancer. K.N performed the manual fiducial alignment and tissue detection on the high-resolution images using Loupe Browser 8.0.0 and preprocesseed the AnnData objects. Data summary: 1) 10x_Visium contains the Space Ranger v2.1.0 output (raw matrix, filtered matrix and spatial information including scaled images). 2) h5ad contains preprocessed AnnData objects along with the manual annotations. 3) tif_slides contains the high-resolution images along with aligned spot coordinates. Folder structure: ├── 10x_Visium │ ├── KC1 │ │ ├── filtered_feature_bc_matrix │ │ ├── raw_feature_bc_matrix │ │ └── spatial │ ├── KC2 │ │ ├── filtered_feature_bc_matrix │ │ ├── raw_feature_bc_matrix │ │ └── spatial │ ├── KC3 │ │ ├── filtered_feature_bc_matrix │ │ ├── raw_feature_bc_matrix │ │ └── spatial │ ├── LC1 │ │ ├── filtered_feature_bc_matrix │ │ ├── raw_feature_bc_matrix │ │ └── spatial │ ├── LC2 │ │ ├── filtered_feature_bc_matrix │ │ ├── raw_feature_bc_matrix │ │ └── spatial │ ├── LC3 │ │ ├── filtered_feature_bc_matrix │ │ ├── raw_feature_bc_matrix │ │ └── spatial │ ├── LC4 │ │ ├── filtered_feature_bc_matrix │ │ ├── raw_feature_bc_matrix │ │ └── spatial │ └── LC5 │ ├── filtered_feature_bc_matrix │ ├── raw_feature_bc_matrix │ └── spatial ├── h5ad_preprocessed └── tif_slides

Country
Canada
Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Related to Research communities
Cancer Research