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PXD045600-1

PXD045600 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleLimnospira indica PCC8005 in simulated microgravity
DescriptionRegenerative life support systems for space crews recycle organic and inorganic waste into water, food and oxygen using different organisms. For instance, the European Space Agency's MELiSSA uses Limnospira indica PCC8005 for air revitalisation and food production. Before use in space, the components' compatibility with reduced gravity must be tested. This innovative study introduces a novel ground analog designed specifically for microgravity experiments involving cyanobacteria, employing a cutting-edge random positioning machine (RPM). Limnospira indica PCC8005 was shown to grow slower under simulated microgravity and whole proteome analysis revealed a downregulation of e.g. ribosomal proteins, glutamine synthase and nitrate uptake transporters while an upregulation was found for gas vesicle proteins, carboxysome proteins and phycobiliproteins. All together our results suggested that L. indica experienced carbon limitation when cultivated in simulated microgravity conditions.
HostingRepositoryPRIDE
AnnounceDate2024-12-19
AnnouncementXMLSubmission_2024-12-19_02:09:42.354.xml
DigitalObjectIdentifierhttps://dx.doi.org/10.6019/PXD045600
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterFelice Mastroleo
SpeciesList scientific name: Limnospira indica PCC 8005; NCBI TaxID: 376219;
ModificationListiodoacetamide derivatized residue
Instrumentautoflex
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-09-22 09:04:27ID requested
12024-12-19 02:09:42announced
Publication List
10.6019/PXD045600;
10.1038/S41526-024-00436-X;
Keyword List
submitter keyword: LC-MSMS, proteomics,cyanobacteria, random positioning machine, arthrospira
Contact List
Natalie Leys
contact affiliationHead of the Microbiology unit, SCK-CEN,Belgium
contact emailnatalie.leys@sckcen.be
lab head
Felice Mastroleo
contact affiliationSCK CEN
contact emailfelice.mastroleo@sckcen.be
dataset submitter
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Dataset FTP location
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PRIDE project URI
Repository Record List
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