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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: Nov 21, 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

Illuminating Non-genetic Cellular Heterogeneity with Imaging-Based Spatial Proteomics.

Christian Gnann¹, Anthony J Cesnik¹, Emma Lundberg¹

¹Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, 17121, Sweden.

Trends in Cancer

|January 13, 2021

Summary

Cellular heterogeneity, the variation between cells, is key in human tissues. New imaging spatial proteomic tools offer detailed cell analysis to understand cancer development and drug resistance.

Keywords:

heterogeneity localization proteomics single cell spatiotemporal

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Related Experiment Videos

Last Updated: Nov 21, 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

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Published on: October 25, 2011

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

Published on: April 19, 2019

Area of Science:

Biomedical Sciences
Cell Biology
Cancer Research

Background:

Cellular heterogeneity is a critical biological process in human tissues, varying across space and time.
Understanding this heterogeneity is essential for deciphering complex diseases like cancer.

Purpose of the Study:

To explore the utility of imaging-based spatial proteomic technologies.
To gain insights into the roles of non-genetic cellular heterogeneity in tumorigenesis and drug resistance.

Main Methods:

Utilizing advanced imaging-based spatial proteomic techniques.
Analyzing cellular phenotypes at subcellular resolution.

Main Results:

Spatial proteomic technologies provide detailed phenotypic readouts of individual cells.
These technologies offer a powerful approach to study cellular heterogeneity.

Conclusions:

Imaging spatial proteomics can illuminate the contribution of non-genetic factors to cancer.
This technology may be crucial for understanding and overcoming drug resistance in tumors.