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Spatial multiomics in biomedical research: advances beyond transcriptomics
Xinchen Mao, Zhuo Chen, Emily J. Hwang, Jun Liu, Junrou Huang, Haikuo Li
Xinchen Mao, Zhuo Chen, Emily J. Hwang, Jun Liu, Junrou Huang, Haikuo Li
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Review

Spatial multiomics in biomedical research: advances beyond transcriptomics

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Abstract

Coordinated changes in gene expression, epigenetic regulation, protein and metabolic activities together drive disease progression and determine clinical outcomes. While spatially resolved transcriptomics has been widely adopted across biomedical fields, it offers an incomplete picture limited to transcriptomic levels. Here, we survey the latest developments in spatial multiomics technologies, with particular emphasis on platforms that extend beyond conventional transcriptomics and profile genomics, epigenomics, proteomics, or metabolomics within intact tissues. These approaches are rapidly becoming commercialized, and here we highlight major technical breakthroughs, enhanced sample compatibility, emerging applications, and computational tools for data analysis. This Review aims to equip researchers with a clear understanding of the current technological landscape and to accelerate the adoption of spatial multiomics methods in biomedical research.

Authors

Xinchen Mao, Zhuo Chen, Emily J. Hwang, Jun Liu, Junrou Huang, Haikuo Li

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Figure 2

Principles of spatial omics technologies.

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Principles of spatial omics technologies.
(A) Physical isolation can be ...
(A) Physical isolation can be broadly categorized into three main approaches: laser capture microdissection (LCM) of regions of interest (ROIs) (55), direct aspiration of target cells using a micropipette guided by a micromanipulator (6), and unphotocaging of ROIs through light of a specific wavelength (5). Specifically, the photochemical approach selects ROIs by photocaging and uncaging of photocleavable adapters on the nucleic acid molecule. (B) Spatial barcoding typically constructs a 2D mosaic composed of multiple pixels via microfluidic channels (9) or microbead arrays (82) that each carry a unique DNA barcode. Subsequently, cells and their contents within each pixel are tagged with a unique spatial coordinate. (C) Fluorescence imaging directly visualizes the spatial location of target molecules through in situ fluorescence imaging. (D) MS imaging ionizes molecules in the sample using a laser beam (MALDI) or electrospray (desorption electrospray ionization, DESI). (E) Label-free optical imaging. It captures specific molecules by detecting transmitted light, scattered light, exciting light, or intrinsic emission from cells or tissues, without the need for staining. QPI, quantitative phase imaging; SHG, second harmonic generation; TPEF, two-photon epifluorescence.

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