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

Connectomic Analysis of Mitochondria in the Central Brain of Drosophila.

bioRxiv : the preprint server for biology·2026

Same author

RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs in Medicine.

Findings of ACL. ACL·2026

Same author

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.

Proceedings of the conference. Association for Computational Linguistics. Meeting·2026

Same author

Arbuscular Mycorrhizal Fungi Activate Lignin-Based Defense Through Metabolic Reprogramming to Improve Salt Tolerance in Poplar.

Plant, cell & environment·2026

Same author

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care.

Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence·2026

Same author

Therapeutic bacteria-trained NK cells confer long-term protection against cancer metastasis.

Molecular therapy : the journal of the American Society of Gene Therapy·2026

Search research articles

Related Experiment Video

Updated: Sep 11, 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

PEELing: an integrated and user-centric platform for spatially resolved proteomics data analysis.

Xi Peng¹, Jody Clements¹, Zuzhi Jiang^1,2

¹Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, United States.

Bioinformatics (Oxford, England)

|August 12, 2025

Summary

This summary is machine-generated.

PEELing is a new tool for analyzing spatially resolved proteomics data. It helps researchers understand protein locations within cells, improving cellular physiology studies.

More Related Videos

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Published on: April 1, 2017

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

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

Published on: October 19, 2021

Related Experiment Videos

Last Updated: Sep 11, 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

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Published on: April 1, 2017

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

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

Published on: October 19, 2021

Area of Science:

Cell Biology
Proteomics
Bioinformatics

Background:

Molecular compartmentalization is essential for cellular functions.
Spatially resolved proteomics offers insights into protein distribution at the subcellular level.

Purpose of the Study:

To introduce PEELing, an integrated package and web service for analyzing spatially resolved proteomics data.
To provide a user-friendly and reproducible workflow for exploring subcellular protein composition and dynamics.

Main Methods:

PEELing integrates data quality assessment using reference datasets.
It includes contaminant removal via cutoff analysis.
Functional annotation and data visualization are connected to biological databases.

Main Results:

PEELing streamlines the analysis of spatially resolved proteomics data.
It facilitates a reproducible workflow for exploring protein localization and function.
The tool enhances the ability to study cellular physiology through detailed proteomic analysis.

Conclusions:

PEELing offers a comprehensive solution for analyzing spatially resolved proteomics data.
The package and web service support data quality assessment, contaminant removal, functional annotation, and visualization.
This tool empowers biologists to investigate protein dynamics and composition with subcellular resolution.