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Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...

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Related Experiment Video

Updated: Aug 17, 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

Spatial omics technologies at multimodal and single cell/subcellular level.

Jiwoon Park^1,2, Junbum Kim¹, Tyler Lewy²

¹Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA.

|December 13, 2022

Summary

This summary is machine-generated.

Spatial omics technologies reveal cellular organization and interactions within tissues. This review covers current and future single-cell to subcellular resolution spatial omics methods and analysis tools for research and clinical use.

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Area of Science:

Molecular Biology
Genomics
Biotechnology

Background:

Spatial omics technologies offer insights into cellular organization and interactions within tissues.
These methods identify distinct tissue compartments with varying transcript or protein levels.
They complement other techniques for defining cellular phenotypes.

Purpose of the Study:

To review the current and prospective landscape of spatial omics technologies.
To cover single-cell to subcellular resolution spatial omics and analysis tools.
To provide a comprehensive overview for research and clinical applications.

Main Methods:

Review of existing and emerging spatial omics methodologies.
Analysis of technologies based on spatial resolution, multiplexing, scale, and coverage.
Examination of associated data analysis tools.

Main Results:

A diverse range of spatial omics techniques are available and under development.
Technologies vary significantly in resolution, multiplexing, throughput, and coverage.
A comprehensive suite of analysis tools is evolving alongside the experimental methods.

Conclusions:

Spatial omics is a rapidly advancing field with significant potential for biological and clinical research.
Understanding the trade-offs between different spatial omics technologies is crucial for application.
Integrated analysis of spatial omics data is key to unlocking deeper biological insights.