Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Proteomics01:33

Proteomics

7.4K
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...
7.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Alternate RNA decoding results in stable and abundant proteins in mammals.

Nature·2026
Same author

Single-Cell Proteomic Technologies: Tools in the Quest for Principles.

Annual review of biophysics·2026
Same author

Fertilization triggers early proteomic symmetry breaking in mammalian embryos.

Cell·2025
Same author

Artificial intelligence in metabolic research.

Nature metabolism·2025
Same author

Single-Cell Proteomic Technologies: Tools in the quest for principles.

ArXiv·2025
Same author

Principles of protein abundance regulation across single cells in a mammalian tissue.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Jul 17, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.2K

Modeling and interpretation of single-cell proteogenomic data.

Andrew Leduc1, Hannah Harens1, Nikolai Slavov1,2

  • 1Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, and Barnett Institute, Northeastern University, Boston, MA 02115, USA.

Arxiv
|August 30, 2023
PubMed
Summary

New mass spectrometry methods enable high-throughput single-cell proteomics, complementing genomics. This allows for data-driven modeling of molecular mechanisms coordinating proteins and nucleic acids at single-cell resolution for biological insights.

More Related Videos

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.6K
Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier
06:13

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

Published on: December 9, 2022

4.0K

Related Experiment Videos

Last Updated: Jul 17, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.2K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.6K
Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier
06:13

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

Published on: December 9, 2022

4.0K

Area of Science:

  • Biochemistry and Molecular Biology
  • Genomics and Proteomics
  • Systems Biology

Background:

  • Biological functions arise from complex interactions between proteins, nucleic acids, and small molecules.
  • Understanding these interactions at single-cell resolution is crucial for deciphering cellular mechanisms.
  • Existing technologies like genomics lack the protein-level detail necessary for a complete molecular picture.

Approach:

  • Utilizing high-throughput mass spectrometry for single-cell proteomics to create a new data modality alongside genomics.
  • Developing methods to estimate the reliability of single-cell proteomic measurements and computational analyses.
  • Exploring various measurement modes to support integrated single-cell proteogenomic analysis.

Key Points:

  • Single-cell proteomics offers a powerful complement to genomics, enabling a more comprehensive understanding of cellular processes.
  • Reliability assessment is critical for distinguishing true biological signals from technical noise in proteogenomic data.
  • Mechanistic and abstract modeling approaches can interpret cross-modality differences, revealing molecular interactions.

Conclusions:

  • Single-cell proteogenomic data facilitates the development of predictive and generalizable mechanistic models of biological systems.
  • Applications include modeling stem cell differentiation and inferring protein interactions in cancer from DNA copy-number variations.
  • This integrated approach advances our ability to understand and predict biological regulation at the molecular level.