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Title:Learning tissue representation by identification of persistent local patterns in spatial omics data
Authors:ID Tanevski, Jovan, Institut "Jožef Stefan" (Author)
ID Vulliard, Loan (Author)
ID Ibarra-Arellano, Miguel A. (Author)
ID Schapiro, Denis (Author)
ID Hartmann, Felix J. (Author)
ID Saez-Rodriguez, Julio (Author)
Files:URL URL - Source URL, visit https://www.nature.com/articles/s41467-025-59448-0
 
.pdf PDF - Presentation file, download (8,32 MB)
MD5: E97DB355194BE084BE2B150007D5BC03
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IJS - Jožef Stefan Institute
Abstract:Spatial omics data provide rich molecular and structural information on tissues. Their analysis provides insights into local heterogeneity of tissues and holds promise to improve patient stratification by associating clinical observations with refined tissue representations. We introduce Kasumi, a method for identifying spatially localized neighborhood patterns of intra- and intercellular relationships that are persistent across samples and conditions. The tissue representation based on these patterns can facilitate translational tasks, as we show for stratification of cancer patients for disease progression and response to treatment using data from different experimental platforms. On these tasks, Kasumi outperforms related approaches and offers explanations of spatial coordination and relationships at the cell-type or marker level. We show that persistent patterns comprise regions of different sizes, and that non-abundant, localized relationships in the tissue are strongly associated with unfavorable outcomes.
Keywords:microenvironment, tumour heterogeneity, Kasumi
Publication status:Published
Publication version:Version of Record
Submitted for review:26.03.2024
Article acceptance date:23.04.2025
Publication date:30.04.2025
Publisher:Nature Publishing Group
Year of publishing:2025
Number of pages:str. 1-15
Numbering:Vol. 16, article no. 4071
Source:Združeno kraljestvo
PID:20.500.12556/DiRROS-25414 New window
UDC:004.8
ISSN on article:2041-1723
DOI:10.1038/s41467-025-59448-0 New window
COBISS.SI-ID:265161475 New window
Copyright:© The Author(s) 2025
Note:Nasl. z nasl. zaslona; Soavtor iz Slovenije: Jovan Tanevski; Opis vira z dne 19. 1. 2026;
Publication date in DiRROS:20.01.2026
Views:83
Downloads:54
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Record is a part of a journal

Title:Nature communications
Shortened title:Nat. Commun.
Publisher:Nature Publishing Group
ISSN:2041-1723
COBISS.SI-ID:2315876 New window

Document is financed by a project

Funder:Other - Other funder or multiple funders
Name:Projekt DEAL

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:30.04.2025
Applies to:VoR

Secondary language

Language:Slovenian
Keywords:mikrookolje, heterogenost tumorjev, Kasumi


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