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An integrated approach for analyzing spatially resolved multi-omics datasets from the same tissue section.

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第一作者： Thao,Tran

第一单位： Aspect Analytics NV, Genk, Belgium.

作者： Thao,Tran ^[1] ; Felicia,Wee ^[2] ; Craig Ryan,Joseph ^[2] ; Wanqiu,Zhang ^[1] ; Jeffrey Chun Tatt,Lim ^[2] ; Zhen Wei,Neo ^[2] ; Li Yen,Chong ^[2] ; Francis Hong Xin,Yap ^[3] ; Nathan Heath,Patterson ^[1] ; Marc,Claesen ^[1] ; Alice,Ly ^[1] ; Joe,Yeong ^[4]

作者单位： Aspect Analytics NV, Genk, Belgium. ^[1] Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore. ^[2] Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore. ^[3] Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.;Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore.;Department of Microbiology, Immunology and Serology Section, Singapore General Hospital, Singapore, Singapore. ^[4]

关键词 data integration histology image registration single cell analysis spatial multi-omics spatial proteomics spatial transcriptomics

DOI 10.3389/fmolb.2025.1614288

PMID 40735471

发布时间 2025-08-01

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An integrated approach for analyzing spatially resolved multi-omics datasets from the same tissue section.

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An integrated approach for analyzing spatially resolved multi-omics datasets from the same tissue section.

Frontiers in molecular biosciences

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