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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: Oct 12, 2025

Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier

Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier

Published on: December 9, 2022

Scaling Up Single-Cell Proteomics.

Nikolai Slavov¹

¹Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA; Barnett Institute, Northeastern University, Boston, Massachusetts, USA.

Molecular & Cellular Proteomics : MCP

|November 22, 2021

Summary

This summary is machine-generated.

Quantitative single-cell proteomics using tandem mass spectrometry can now analyze thousands of proteins in hundreds of cells daily. Further advancements, like parallelization, promise to scale this technology for broader scientific and clinical applications.

Keywords:

data pipelines high-throughput proteomics multiplexed mass-spectrometry quality controls robust protocols sample preparation single-cell biology single-cell proteogenomic single-cell proteomics ultrasensitive proteomics

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

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

Related Experiment Videos

Last Updated: Oct 12, 2025

Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier

Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier

Published on: December 9, 2022

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

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:

Biochemistry
Proteomics
Cell Biology

Background:

Single-cell tandem mass spectrometry (MS) allows high-throughput proteomic analysis of individual cells.
Dissecting pathophysiological mechanisms in heterogeneous tissues requires scalable single-cell proteomic capabilities.

Purpose of the Study:

To outline existing resources and opportunities for disseminating quantitative single-cell proteomics.
To identify strategies for scaling single-cell proteomics to tens of thousands of cells.

Main Methods:

Review of current single-cell proteomics protocols and technologies.
Discussion of requirements for broad adoption: robust protocols, accessible hardware, quality controls, community standards, and automated analysis.
Exploration of parallelization strategies for peptide and single-cell analysis.

Main Results:

Single-cell tandem MS can currently analyze hundreds of cells per day, quantifying thousands of proteins.
Parallelization offers a promising approach to significantly increase the speed and scale of quantitative single-cell proteomics.
Existing resources and opportunities can catalyze wider adoption and technological development.

Conclusions:

Widespread adoption of quantitative single-cell proteomics is achievable with robust protocols and infrastructure.
Advancements in parallelization are key to scaling single-cell proteomics to tens of thousands of cells.
This technology has the potential to drive significant scientific discoveries and clinical applications.