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Home
Spatial Multiplexing And Omics.

Home
Spatial Multiplexing And Omics.

Related Experiment Video

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Spatial Multiplexing and Omics.

Julienne L Carstens^1,2, Santhoshi N Krishnan^3,4, Arvind Rao^3,4,5,6,7

¹Department of Medicine, Division of Hematology & Oncology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.

Nature Reviews. Methods Primers

|August 29, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This primer explores multi-omics and spatial technologies for biological research. It emphasizes integrating spatial data across scales to solve physiological mysteries and foster innovation.

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Area of Science:

Biological sciences
Physiological research
Multi-omics and spatial biology

Background:

Understanding physiological processes requires integrating who, what, when, and where information.
Multi-omics approaches identify cellular/molecular identities, while longitudinal data captures temporal aspects.
Spatial dimensions are crucial for a complete understanding of biological systems.

Purpose of the Study:

To review current technologies for multi-scale biological quantification, focusing on spatial data integration.
To provide a conceptual framework for comparing and understanding major spatial technologies.
To encourage cross-disciplinary collaboration by uniting disparate spatial platforms and biological scales.

Main Methods:

Discussion of experimental design considerations: targeted vs. untargeted approaches, sample types, and biological scales.

Overview of four main classes of molecule detection technologies.

Exploration of spatial analytics, including questioning approaches, analytical platforms, image segmentation, and sampling.

Main Results:

Highlights the importance of retaining spatial data for comprehensive biological analysis.
Presents an apples-to-apples comparison of major spatial technologies.
Identifies considerations for reproducibility, limitations, and future outlook in spatial biology.

Conclusions:

Integrating spatial dimensions across biological scales is key to advancing physiological research.
A unified conceptual framework and technology comparison can drive innovation in spatial biology.
Fostering cross-disciplinary dialogue is essential for leveraging the full potential of spatial multi-omics.