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

Circulating Tumor DNA Status and Adjuvant Chemotherapy in Resected Colorectal Liver Metastases.

JAMA oncology·2026

Same author

Safety of Less Invasive Surfactant Administration in Preterm Infants: A Meta-Analysis.

Pediatric pulmonology·2026

Same author

Prognostic Implications of Personalized Circulating Tumor DNA Testing in Patients with Advanced Urothelial Carcinoma Treated with Enfortumab Vedotin ± Pembrolizumab.

European urology oncology·2026

Same author

Overview of the linking exercise for advancing daily stress (LEADS) management and resilience randomized controlled trial in African American families.

Contemporary clinical trials·2026

Same author

Efficacy of Less Invasive Surfactant Administration (LISA) in Preterm Neonates With Respiratory Distress Syndrome: A Systematic Review and Meta-Analysis.

Sage open pediatrics·2026

Same author

Post-adjuvant chemotherapy in ctDNA-positive patients with resected colorectal cancer: a randomized phase 3 trial.

Nature medicine·2026

Same journal

Development of CypriSSR: a genome-wide, chromosome-level microsatellite database for multiple cyprinidae species.

Database : the journal of biological databases and curation·2026

Same journal

KitBase Expanded: An Integrated Genomic and Phenotypic Resource for 3,268 Fast-Neutron-Irradiated Rice Mutants.

Database : the journal of biological databases and curation·2026

Same journal

PhaLP 2.0: extending the community-oriented phage lysin database with a SUBLYME pipeline for metagenomic discovery.

Database : the journal of biological databases and curation·2026

Same journal

A similarity metric, rubric, and unified hierarchy for biomedical publication types and study designs.

Database : the journal of biological databases and curation·2026

Same journal

GUTAID: a curated database linking gut microbial antigens to autoimmune mechanisms.

Database : the journal of biological databases and curation·2026

Same journal

Rosetta Statements: simplifying FAIR knowledge graph construction with a user-centred approach.

Database : the journal of biological databases and curation·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 18, 2026

Author Spotlight: Advancing Tear Fluid Analysis Using a Standardized Protocol for Proteomics Research

Author Spotlight: Advancing Tear Fluid Analysis Using a Standardized Protocol for Proteomics Research

Published on: December 1, 2023

Tear fluid database: a reference website for tear fluid proteomics.

Drew Mayernik¹, Saleh Ahmed¹, Eliza Williams¹

¹Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.

Database : the Journal of Biological Databases and Curation

|January 16, 2026

Summary

This summary is machine-generated.

Researchers developed a sensitive mass spectrometry method to analyze the human tear fluid proteome, identifying over 1,000 proteins per sample. This work establishes a foundational database for discovering disease biomarkers and understanding tear biology.

More Related Videos

Author Spotlight: Isolating Biomolecules from Mouse Tears — A Methodology for Molecular Analysis and Biomarker Research

Author Spotlight: Isolating Biomolecules from Mouse Tears — A Methodology for Molecular Analysis and Biomarker Research

Published on: July 19, 2024

Bead Based Multiplex Assay for Analysis of Tear Cytokine Profiles

Bead Based Multiplex Assay for Analysis of Tear Cytokine Profiles

Published on: October 13, 2017

Related Experiment Videos

Last Updated: Jan 18, 2026

Author Spotlight: Advancing Tear Fluid Analysis Using a Standardized Protocol for Proteomics Research

Author Spotlight: Advancing Tear Fluid Analysis Using a Standardized Protocol for Proteomics Research

Published on: December 1, 2023

Author Spotlight: Isolating Biomolecules from Mouse Tears — A Methodology for Molecular Analysis and Biomarker Research

Author Spotlight: Isolating Biomolecules from Mouse Tears — A Methodology for Molecular Analysis and Biomarker Research

Published on: July 19, 2024

Bead Based Multiplex Assay for Analysis of Tear Cytokine Profiles

Bead Based Multiplex Assay for Analysis of Tear Cytokine Profiles

Published on: October 13, 2017

Area of Science:

Biochemistry
Proteomics
Ophthalmology

Background:

Tear fluid proteome analysis is crucial for identifying ocular and systemic disease biomarkers.
Small tear sample volumes pose challenges for high-quality proteomic data acquisition.
Existing proteomic datasets for tear fluid are limited.

Purpose of the Study:

To develop a highly sensitive mass spectrometry workflow for human tear fluid proteomic profiling.
To create a comprehensive human tear fluid proteome database with clinical annotations.
To establish reference abundance ranges for commonly detected tear fluid proteins.

Main Methods:

Development of a sensitive mass spectrometry (MS) workflow.
Analysis of 74 individual human tear fluid samples.
Creation of a user-friendly online database (TearFluid Database) for data exploration.

Main Results:

Identification of over 1,000 proteins from individual tear samples.
Comprehensive profiling of the human tear fluid proteome, including 2,134 unique proteins.
Establishment of reference abundance ranges for tear fluid proteins.

Conclusions:

The developed MS workflow enables robust tear fluid proteomic analysis.
The TearFluid Database is a valuable resource for biomarker discovery and tear biology research.
This resource will accelerate the identification of disease-associated proteomic signatures and clinically relevant biomarkers.