Award details

A metabolism-centric proteomic map on the genomic scale: enabling functional annotation of the unknown genome

Reference	BB/N015282/1
Principal Investigator / Supervisor	Professor Kathryn Lilley
Co-Investigators / Co-Supervisors
Institution	University of Cambridge
Department	Biochemistry
Funding type	Research
Value (£)	189,263
Status	Completed
Type	Research Grant
Start date	01/10/2016
End date	02/07/2020
Duration	45 months

Abstract

We will create a genome-spanning functional proteomic map of the model eukaryote Saccharomyces cerevisiae, and use it to dissect the compendium of metabolism-regulating genes, and to annotate yet unknown genes on the basis of their proteomic footprint. This map will be created by systematically recording SWATH-MS based proteome profiles from 4800 yeast single gene knock-out strains, representing the fraction of gene deletions viable in the absence of rich nutrient supplementation, chosen to enable growth that is informative about biosynthetic metabolism. This unique large-scale project will be facilitated by an academia/industry partnership to establish a high-throughput variant of SWATH-MS technology invented by the collaborating laboratory of Ruedi Aebersold, and be capable to process thousands of samples in a proteomic experiment by combining microflow-chromatography, advanced ionisation techniques, and data independent acquisition.

Summary

Understanding the biology of the metabolic network is key for biotechnology, where single cellular organisms such as budding yeast are used to produce proteins, vaccines or antibiotics. A metabolic network formed from similar reactions operates in mammalian cells, and changes during a lifetime being considered a main driver of ageing and age-associated disorders. Here we are applying for an industrial/academic partnership that will bring a new level into the understanding of this largest of all cellular systems, by creating an enzyme-centric quantitative map that spans the yeast genome. With our industrial partner Sciex, we establish a unique technological platform that can quantify 80% of metabolic enzymes in less than 30 minutes. We will apply this platform to measure enzymes in a collection of ~4800 yeast strains, each of which is lacking one gene at a time. In this way, we connect the majority of all genes in the genome with the metabolites and metabolic enzymes they affect. This map will be the most comprehensive investigation into a eukaryotic proteome conducted so far, and address both already known genes, and genes for which there is only little or no functional information so far available. We will learn about the function of new genes in two ways, first by studying their direct impact on the proteome and metabolism, and by associating them with the already known genes on the basis of their proteomic footprint. For these reasons, the project is of unique value to the mass spec manufacturing industry, that seeks possibilities to bring proteomic technology into environmental analytics, to biotechnology, that lacks information about metabolic networks so that they can exploit it for improving production cycles, and for basic science, that will gain unique insights into the function of novel genes and can use it to develop new strategies for addressing ageing-associated disease.

Impact Summary

This is an academia-industry collaboration with direct impact. The biotechnological industry will obtain the information about which gene has to be manipulated in the genome to affect 80% of enzymes and can use this information to develop new production strains, save money by improving existing production cycles for instance to reduce greenhouse gas emissions. The mass spectrometry manufacturing industry will get access to a workflow that allows implementing proteomics technology in industrial scale projects, including diagnostics and environmental analytics, and improve access to a new market for proteomics. Enabling proteomics for the large scale will directly benefit society, that depends on diagnostics in medicine and environmental analytics for food production and marketing. Finally, the results clearly impact basic science, as we will substantially improve the annotation of ~2000 budding yeast genes that are functionally yet uncharacterized.

Committee	Research Committee D (Molecules, cells and industrial biotechnology)
Research Topics	Microbiology
Research Priority	X – Research Priority information not available
Research Initiative	LINK: Responsive Mode [2010-2015]
Funding Scheme	X – not Funded via a specific Funding Scheme

Associated awards:

BB/N015215/1 A metabolism-centric proteomic map on the genomic scale: enabling functional annotation of the unknown genome

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