PXD030003

PXD030003 is an original dataset announced via ProteomeXchange.

Title	Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies
Description	Our comprehensive model identifies condition-dependent and compartment-specific constraints that can explain metabolic strategies and protein expression profiles from growth rate optimization, providin a framework to understand metabolic adaptation in eukaryal cells.
HostingRepository	PRIDE
AnnounceDate	2022-01-24
AnnouncementXML	Submission_2022-03-03_06:58:55.565.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Manuel Garcia-Albornoz
SpeciesList	scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationList	acetylated residue; monohydroxylated residue
Instrument	LTQ Orbitrap Velos

Revision	Datetime	Status	ChangeLog Entry
0	2021-11-28 05:35:45	ID requested
1	2022-01-24 03:34:24	announced
⏵ 2	2022-03-03 06:58:57	announced	2022-03-03: Updated publication reference for PubMed record(s): 35145105.

Elsemman IE, Rodriguez Prado A, Grigaitis P, Garcia Albornoz M, Harman V, Holman SW, van Heerden J, Bruggeman FJ, Bisschops MMM, Sonnenschein N, Hubbard S, Beynon R, Daran-Lapujade P, Nielsen J, Teusink B, Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies. Nat Commun, 13(1):801(2022) [pubmed]

submitter keyword: MS/MS, metabolic networks, genetic regulation

Simon Hubbard
contact affiliation	University of Manchester. Professor
contact email	simon.hubbard@manchester.ac.uk
lab head
Manuel Garcia-Albornoz
contact affiliation	The Francis Crick Institute
contact email	manuel.garciaalbornoz@crick.ac.uk
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2022/01/PXD030003

PRIDE project URI

• PRIDE
  1. PXD030003
     1. Label: PRIDE project
     2. Name: Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies