PXD016567 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Differential proteomic analysis by SWATH-MS unravels the most dominant mechanisms underlying yeast adaptation to nonoptimal temperatures under anaerobic conditions- SWATH data |
Description | Elucidation of the mechanism of temperature tolerance in yeast is essential for enhancing cellular robustness of strains, providing more economically and sustainable sound industrial processes. We investigated the differential responses of three distinct Saccharomyces cerevisiae strains, an industrial wine strain, ADY5, a laboratory strain, CEN.PK113-7D and an industrial bioethanol strain, Ethanol Red, grown at sub- (12 ºC) and-supra (39 ºC) optimal temperatures under chemostat conditions, in which specific growth rate–dependent changes are eliminated. In contrast to previous studies, we employed anaerobic conditions, mimicking the industrial processes. The proteomic profile of these strains was performed by SWATH-MS, allowing the quantification of 997 proteins. Our analysis revealed that temperature response differs between the strains, highlighting the precision with which each strain responds to changes in its environment; however, we also found some common responsive proteins among the strains, revealing that the response to temperature involves general stress and specific mechanisms. Overall, sub-optimal temperature conditions involved a higher remodeling of the proteome than supra-optimal temperature. Further, the proteomic data evidenced that the cold response involves a strong repression of translation related proteins as well as induction of amino acid metabolism, together with components related to protein folding and degradation. On the other hand, the high temperature response mainly recruits amino acid metabolism. Our study provides a global and thorough insight into how growth temperature affects yeast proteome, which can be a step forward for research regarding the comprehension and the improvement of yeast thermotolerance. |
HostingRepository | PRIDE |
AnnounceDate | 2021-01-04 |
AnnouncementXML | Submission_2021-01-04_01:04:31.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Luz Valero |
SpeciesList | scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932; |
ModificationList | No PTMs are included in the dataset |
Instrument | TripleTOF 5600 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2019-12-04 03:25:05 | ID requested | |
⏵ 1 | 2021-01-04 01:04:32 | announced | |
Publication List
Pinheiro T, Lip KYF, Garc, í, a-R, í, os E, Querol A, Teixeira J, van Gulik W, Guillam, ó, n JM, Domingues L, Differential proteomic analysis by SWATH-MS unravels the most dominant mechanisms underlying yeast adaptation to non-optimal temperatures under anaerobic conditions. Sci Rep, 10(1):22329(2020) [pubmed] |
Keyword List
submitter keyword: Differential expression analysis, SWATH-MS, yeast, anaerobic conditions |
Contact List
José Manuel Guillamón |
contact affiliation | Food Biotechnology Department, Instituto de Agroquímica y Tecnología de Alimentos (IATA), Consejo Superior de Investigaciones Científicas (CSIC), Valencia, Spain |
contact email | guillamon@iata.csic.es |
lab head | |
Luz Valero |
contact affiliation | Universitat de Valencia |
contact email | mluz.valero@uv.es |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD016567
- Label: PRIDE project
- Name: Differential proteomic analysis by SWATH-MS unravels the most dominant mechanisms underlying yeast adaptation to nonoptimal temperatures under anaerobic conditions- SWATH data