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Proteomic analysis of dietary restriction in yeast reveals a role for Hsp26 in lifespan extension C4PR_LIV

ABSTRACT: Dietary restriction (DR) has been shown to increase lifespan in organisms ranging from yeast to mammals. This suggests that the underlying mechanisms may be evolutionarily conserved. Indeed, upstream signalling pathways, such as TOR, are strongly linked to DR-induced longevity in various organisms. However, the downstream effector proteins that ultimately mediate lifespan extension are less clear. To shed light on this, we used a proteomic approach on budding yeast. Our reasoning was that analysis of proteome-wide changes in response to DR might enable the identification of proteins that mediate its physiological effects, including lifespan extension. Of over 2500 proteins we identified by liquid chromatography-mass spectrometry, 183 were significantly altered in expression by at least 3-fold in response to DR. Most of these proteins were mitochondrial and/or had clear links to respiration and metabolism. Indeed, direct analysis of oxygen consumption confirmed that mitochondrial respiration was increased several-fold in response to DR. In addition, several key proteins involved in mating, including Ste2 and Ste6, were downregulated by DR. Consistent with this, shmoo formation in response to α-factor pheromone was reduced by DR, thus confirming the inhibitory effect of DR on yeast mating. Finally, we found that Hsp26, a member of the conserved small heat shock protein (sHSP) family, was upregulated by DR and that overexpression of Hsp26 extends yeast replicative lifespan. As overexpression of sHSPs in C. elegans and Drosophila has previously been shown to extend lifespan, our data on yeast Hsp26 suggest that sHSPs may be universally conserved effectors of longevity.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Philip Brownridge

LAB HEAD: Alan Morgan

PROVIDER: PXD025004 | Pride | 2022-02-17

REPOSITORIES: Pride

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			Action	DRS
	KB_20181219_Mut_05per_Rep1.raw	Raw
	KB_20181219_Mut_05per_Rep1.raw.export.F1865211.mzid.gz	Mzid
	KB_20181219_Mut_05per_Rep1.raw.mgf	Mgf
	KB_20181219_Mut_05per_Rep2.raw	Raw
	KB_20181219_Mut_05per_Rep2.raw.export.F1865212.mzid.gz	Mzid

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Proteomic analysis of dietary restriction in yeast reveals a role for Hsp26 in replicative lifespan extension.

Campion Richard R Bloxam Leanne L Burrow Kimberley K Brownridge Philip J PJ Pentland Daniel R DR Thomas Patricia P Gourlay Campbell W CW Eyers Claire E CE Barclay Jeff W JW Morgan Alan A

The Biochemical journal 20211201 24

Dietary restriction (DR) has been shown to increase lifespan in organisms ranging from yeast to mammals. This suggests that the underlying mechanisms may be evolutionarily conserved. Indeed, upstream signalling pathways, such as TOR, are strongly linked to DR-induced longevity in various organisms. However, the downstream effector proteins that ultimately mediate lifespan extension are less clear. To shed light on this, we used a proteomic approach on budding yeast. Our reasoning was that analys ...[more]

PMID: 34661239

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Project description:Yeast remains an important model for systems biology and for evaluating proteomics strategies. In-depth shotgun proteomics studies have reached nearly comprehensive coverage, and rapid, targeted approaches have been developed for this organism. Recently, we demonstrated that single LC-MS/MS analysis using long columns and gradients coupled to a linear ion trap Orbitrap instrument had an unexpectedly large dynamic range of protein identification (Thakur, S. S., Geiger, T., Chatterjee, B., Bandilla, P., Frohlich, F., Cox, J., and Mann, M. (2011) Deep and highly sensitive proteome coverage by LC-MS/MS without prefractionation. Mol. Cell Proteomics 10, 10.1074/mcp.M110.003699). Here we couple an ultra high pressure liquid chromatography system to a novel bench top Orbitrap mass spectrometer (Q Exactive) with the goal of nearly complete, rapid, and robust analysis of the yeast proteome. Single runs of filter-aided sample preparation (FASP)-prepared and LysC-digested yeast cell lysates identified an average of 3923 proteins. Combined analysis of six single runs improved these values to more than 4000 identified proteins/run, close to the total number of proteins expressed under standard conditions, with median sequence coverage of 23%. Because of the absence of fractionation steps, only minuscule amounts of sample are required. Thus the yeast model proteome can now largely be covered within a few hours of measurement time and at high sensitivity. Median coverage of proteins in Kyoto Encyclopedia of Genes and Genomes pathways with at least 10 members was 88%, and pathways not covered were not expected to be active under the conditions used. To study perturbations of the yeast proteome, we developed an external, heavy lysine-labeled SILAC yeast standard representing different proteome states. This spike-in standard was employed to measure the heat shock response of the yeast proteome. Bioinformatic analysis of the heat shock response revealed that translation-related functions were down-regulated prominently, including nucleolar processes. Conversely, stress-related pathways were up-regulated. The proteomic technology described here is straightforward, rapid, and robust, potentially enabling widespread use in the yeast and other biological research communities. Data analysis: The raw files were processed using MaxQuant version 1.2.0.34. The fragmentation spectra were searched against the yeast ORF database (release date of February 3, 2011; 6752 entries) using the Andromeda search engine with the initial precursor and fragment mass tolerances set to 7 and 20 ppm, respectively, and with up to two missed cleavages. Carabamidomethlyation of cysteine was set as a fixed modification, and oxidation of methionine and protein N-terminal acetylation were chosen as variable modifications for database searching. Both peptide and protein identifications were filtered at 1% false discovery rate and thus were not dependent on the peptide score. Bioinformatics analysis was performed using the Perseus tools available in the MaxQuant environment.