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Related Experiment Video

Updated: Sep 23, 2025

The Green Monster Process for the Generation of Yeast Strains Carrying Multiple Gene Deletions

The Green Monster Process for the Generation of Yeast Strains Carrying Multiple Gene Deletions

Published on: December 15, 2012

Profiling Yeast Deletion Strains Using Sample Multiplexing and Network-Based Analyses.

Xinyue Liu¹, Jiaming Li¹, Steven P Gygi¹

¹Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, Massachusetts 02115, United States.

Journal of Proteome Research

|May 11, 2022

Summary

This summary is machine-generated.

This study profiles the proteomes of 75 yeast deletion strains using TMTpro16, identifying nearly 5000 proteins. The findings reveal protein covariance and regulation subnetworks, offering a resource for yeast systems biology research.

Keywords:

RTS-MS3 TMTpro YKO deletion strains yeast

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Last Updated: Sep 23, 2025

The Green Monster Process for the Generation of Yeast Strains Carrying Multiple Gene Deletions

The Green Monster Process for the Generation of Yeast Strains Carrying Multiple Gene Deletions

Published on: December 15, 2012

Isolation of Culturable Yeasts and Molds from Soils to Investigate Fungal Population Structure

Isolation of Culturable Yeasts and Molds from Soils to Investigate Fungal Population Structure

Published on: May 27, 2022

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

Published on: May 21, 2020

Area of Science:

Molecular Biology
Systems Biology
Proteomics

Background:

Saccharomyces cerevisiae is a key model organism for studying conserved biological pathways.
Despite advancements, many yeast proteins remain uncharacterized.
Yeast deletion strain collections are valuable for understanding gene function and cellular responses.

Purpose of the Study:

To comprehensively profile the yeast proteome using advanced multiplexing techniques.
To identify protein networks and regulatory relationships within yeast deletion strains.
To provide a data resource for future yeast systems biology investigations.

Main Methods:

Utilized isobaric tag-based sample multiplexing (TMTpro16) for proteome profiling.
Analyzed proteomes from 75 Saccharomyces cerevisiae deletion strains.
Measured the abundance of approximately 5000 proteins across strains.

Main Results:

Identified and quantified nearly 5000 proteins in the studied yeast strains.
Highlighted significant protein covariance and regulation subnetworks.
Revealed enrichment of gene ontology classifications within these subnetworks.

Conclusions:

The generated dataset serves as a valuable resource for yeast proteome data mining.
The study establishes a template for network-based investigations using deletion strain collections.
This work advances the systems-level understanding of yeast biology and protein interactions.