NIPMAP: niche-phenotype mapping of multiplex histology data by community ecology

Advances in multiplex histology allow surveying millions of cells, dozens of cell types, and up to thousands of phenotypes within the spatial context of tissue sections. This leads to a combinatorial challenge in (a) summarizing the cellular and phenotypic architecture of tissues and (b) identifying...

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Bibliographic Details
Published in:Nature communications 2023-11, Vol.14 (1), p.7182-7182, Article 7182
Main Authors: El Marrahi, Anissa, Lipreri, Fabio, Kang, Ziqi, Gsell, Louise, Eroglu, Alper, Alber, David, Hausser, Jean
Format: Article
Language:English
Subjects:
631/114/2401
631/1647/245
631/553
Cancer
Cells
Community ecology
Genotype & phenotype
Histology
Humanities and Social Sciences
Interfaces
Medicin och hälsovetenskap
multidisciplinary
Phenotypes
Proteins
Science
Science (multidisciplinary)
Tumors
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Summary:Advances in multiplex histology allow surveying millions of cells, dozens of cell types, and up to thousands of phenotypes within the spatial context of tissue sections. This leads to a combinatorial challenge in (a) summarizing the cellular and phenotypic architecture of tissues and (b) identifying phenotypes with interesting spatial architecture. To address this, we combine ideas from community ecology and machine learning into niche-phenotype mapping (NIPMAP). NIPMAP takes advantage of geometric constraints on local cellular composition imposed by the niche structure of tissues in order to automatically segment tissue sections into niches and their interfaces. Projecting phenotypes on niches and their interfaces identifies previously-reported and previously-unreported spatially-driven phenotypes, concisely summarizes the phenotypic architecture of tissues, and reveals fundamental properties of tissue architecture. NIPMAP is applicable to both protein and RNA multiplex histology of healthy and diseased tissue. An open-source R/Python package implements NIPMAP. Multiplex histology faces the challenge of integrating tissue architecture with the identification of relevant spatial cellular phenotypes. Using community ecology principles, the authors propose NIPMAP, a tool for niche-phenotype mapping of multiplex histology data.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-023-42878-z