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PXD046306

PXD046306 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMetaproteomics analysis of the thiocyanate-degrading microflora SCN- degradation
DescriptionScreening of domesticated complex flora from wastewater can degrade high concentrations of thiocyanate, the molecular mechanism of this phenomenon remains unclear. In this study, macro-proteomics techniques were used to analyse the intracellular proteins of the composite flora. The researchers performed proteomic analysis using combined tandem mass spectrometry to identify the differential proteins of the colonies under glucose treatment and thiocyanate stress. A total of 4,747 differential proteins were detected across the three different periods. Of these, 1,213 differential proteins were detected in the pre-biodegradation period, 1,300 differential proteins in the mid-biodegradation period, and 1,413 differential proteins in the post-biodegradation period. Through the protein function annotation, it was found that the differential proteins were mainly concentrated in carbon metabolism, energy metabolism, two-component system and amino acid metabolism.
HostingRepositoryiProX
AnnounceDate2023-10-21
AnnouncementXMLSubmission_2025-01-01_19:38:10.867.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterXiao Xiaoshuang
SpeciesList scientific name: environmental samples ; NCBI TaxID: 1000444;
ModificationListNo PTMs are included in the dataset
InstrumenttimsTOF Pro
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-10-22 21:07:07ID requested
12025-01-01 19:38:11announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Thiocyanate-degrading microflora, LC-MS/MS, Label-free, Thiocyanate degradation
Contact List
Qinghua Zhang
contact affiliationJiangxi Agricultural University
contact emailzqh_net@163.com
lab head
Xiao Xiaoshuang
contact affiliationJiangxi Agricultural University
contact email1336367078@qq.com
dataset submitter
Full Dataset Link List
iProX dataset URI