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Ribosome Profiling

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Related Experiment Video

Updated: Sep 30, 2025

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

Museum of spatial transcriptomics.

Lambda Moses¹, Lior Pachter^2,3

¹Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.

|March 11, 2022

Summary

This summary is machine-generated.

Spatial transcriptomics reveals how cell organization impacts biological functions. This review analyzes historical and current technologies and computational methods for spatial gene expression analysis, guiding future research strategies.

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Area of Science:

Genomics
Cell Biology
Bioinformatics

Background:

Cellular spatial organization is crucial for biological systems like embryos, livers, and tumors.
High-throughput technologies now enable spatial gene expression quantification.
Computational methods analyze this data to identify spatial patterns and tissue neighborhoods.

Purpose of the Study:

To provide a comprehensive review of spatial transcriptomics literature since 1987.
To analyze trends in experimental techniques, species, tissues, and computational approaches.
To place current methods in historical context and offer insights for future research.

Main Methods:

Curated literature review of spatial transcriptomics.
Analysis of trends in experimental techniques, species, tissues, and computational methods.
Historical contextualization of current spatial transcriptomics approaches.

Main Results:

Documented evolution of spatial transcriptomics technologies and data analysis methods.
Identified key trends in the application of spatial transcriptomics across various biological contexts.
Provided insights into the historical development and future directions of the field.

Conclusions:

Spatial transcriptomics has rapidly advanced, offering powerful tools to study cellular organization.
Understanding historical trends is essential for guiding current and future research strategies in spatial biology.
This review serves as a resource for researchers in spatial transcriptomics and related fields.