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PXD016567

PXD016567 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleDifferential proteomic analysis by SWATH-MS unravels the most dominant mechanisms underlying yeast adaptation to nonoptimal temperatures under anaerobic conditions- SWATH data
DescriptionElucidation 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.
HostingRepositoryPRIDE
AnnounceDate2021-01-04
AnnouncementXMLSubmission_2021-01-04_01:04:31.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterLuz Valero
SpeciesList scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationListNo PTMs are included in the dataset
InstrumentTripleTOF 5600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-12-04 03:25:05ID requested
12021-01-04 01:04:32announced
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 affiliationFood Biotechnology Department, Instituto de Agroquímica y Tecnología de Alimentos (IATA), Consejo Superior de Investigaciones Científicas (CSIC), Valencia, Spain
contact emailguillamon@iata.csic.es
lab head
Luz Valero
contact affiliationUniversitat de Valencia
contact emailmluz.valero@uv.es
dataset submitter
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