Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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...

You might also read

Related Articles

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

Sort by

Same author

Molecular mechanism leading to human coronary atherosclerosis assessed by proteomic analysis and RNA sequences.

European heart journal·2026

Same author

Circulating gut microbial metabolites and risk of coronary heart disease: A prospective multi-stage metabolomics study.

PLoS medicine·2026

Same author

Initiating Preventive Care for Hyperlipidemia in the Emergency Department: The Emergency Medicine Cardiovascular Risk Assessment for Lipid Disorders Trial.

Critical pathways in cardiology·2025

Same author

Circulating gut microbial metabolites and risk of coronary heart disease: a prospective, multi-stage study.

medRxiv : the preprint server for health sciences·2025

Same author

iDDN: determining trans-omics network structure and rewiring with integrative differential dependency networks.

Bioinformatics advances·2025

Same author

Genome-wide association study and multi-ancestry meta-analysis identify common variants associated with carotid artery intima-media thickness.

medRxiv : the preprint server for health sciences·2025

Search research articles

Related Experiment Video

Updated: Oct 6, 2025

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

Comparative assessment and novel strategy on methods for imputing proteomics data.

Minjie Shen¹, Yi-Tan Chang¹, Chiung-Ting Wu¹

¹Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, 900 N. Glebe Road, Arlington, VA, 22203, USA.

Scientific Reports

|January 21, 2022

Summary

Accurate imputation of missing values in quantitative proteomics is challenging. This study compares existing methods and introduces novel approaches like fused regularization matrix factorization for improved data analysis.

More Related Videos

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames

Published on: April 11, 2019

Related Experiment Videos

Last Updated: Oct 6, 2025

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

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames

Published on: April 11, 2019

Area of Science:

Proteomics
Bioinformatics
Data Science

Background:

Missing values are a significant challenge in quantitative proteomics.
Existing imputation methods have limitations in accuracy and evaluation.

Purpose of the Study:

To re-evaluate existing missing value imputation methods in proteomics.
To introduce and explore novel imputation strategies.

Main Methods:

Comparative assessment of eight imputation methods on simulated and real proteomics data.
Introduction of fused regularization matrix factorization.
Exploration of convex analysis of mixtures for imputation.

Main Results:

Comparative assessment identified some effective imputation methods, though evaluation remains imperfect.
Fused regularization matrix factorization integrates external and local information effectively.
Convex analysis of mixtures shows promise as a biologically plausible imputation approach.

Conclusions:

Novel methods offer improved approaches to handling missing values in proteomics.
Further development of biologically inspired imputation strategies is warranted.