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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 18, 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

Driving Single Cell Proteomics Forward with Innovation.

Nikolai Slavov^1,2

¹Department of Bioengineering, Northeastern University, Boston, Massachusetts 02115, United States.

Journal of Proteome Research

|October 1, 2021

Summary

Innovations in data acquisition and interpretation could increase peptide quantification by 10-fold in single-cell mass spectrometry (MS) proteomics. Further gains in single-cell protein analysis are expected through instrument, sample prep, and separation improvements.

Keywords:

data acquisition data interpretation peptide identity propagation single-cell proteomics ultrasensitive proteomics

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Last Updated: Oct 18, 2025

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

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Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells

Published on: June 21, 2019

Area of Science:

Biochemistry
Analytical Chemistry
Proteomics

Background:

Current single-cell mass spectrometry (MS) methods quantify thousands of peptides per cell.
Peptide-like features suggest potential for 10-fold higher peptide quantification.
Existing methods face limitations in coverage and quantitative accuracy, leading to missing data.

Purpose of the Study:

To explore innovations for enhancing single-cell proteomics.
To stimulate community efforts for increased peptide coverage and quantitative accuracy.
To reduce missing data in single-cell protein analysis.

Main Methods:

Discussing potential innovations in data acquisition and interpretation for existing MS instrumentation.
Highlighting the role of parallel improvements in instrumentation, sample preparation, and peptide separation.
Focusing on synergistic routes for advancing MS-based single-cell protein analysis.

Main Results:

Potential for a 10-fold increase in peptide quantification through data-driven innovations.
Anticipation of significant advancements in single-cell proteomics capabilities.
Empowerment of biomedical research applications through enhanced single-cell protein analysis.

Conclusions:

Synergistic innovations in data analysis and instrumentation promise rapid growth in single-cell proteomics.
These advancements will significantly improve the utility of single-cell protein analysis in biomedical research.
The field is poised for substantial progress in understanding cellular heterogeneity and function at the protein level.