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PXD075846

PXD075846 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleHflX mediates rifampicin resistance in Brucella by downregulating the expression of RNA polymerase-associated genes
DescriptionTo further investigate molecular changes associated with HflX knock during rifampicin exposure, we performed label-free quantitative proteomic analysis. The WT and ΔhflX strains were cultured for three generations in the presence of 1/2 MIC rifampicin (1 μg/mL) and harvested during the logarithmic growth phase, with at least three biological replicates per group. DIA-based proteomic analysis quantified protein abundance and identified differentially expressed proteins (DEPs) (Figure 5A). Bioinformatic analyses were then conducted to evaluate enriched pathways and co-expression networks, aiming to elucidate the regulatory role of HflX in Brucella.
HostingRepositoryiProX
AnnounceDate2026-03-19
AnnouncementXMLSubmission_2026-03-19_00:53:28.870.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterHao Geng
SpeciesList scientific name: Brucella abortus 2308; NCBI TaxID: 359391;
ModificationListNo PTMs are included in the dataset
InstrumenttimsTOF Pro
Dataset History
RevisionDatetimeStatusChangeLog Entry
02026-03-19 00:53:15ID requested
12026-03-19 00:53:29announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Brucella, HflX, Rifampicin resistance, RNA polymerase, Stress response
Contact List
Yuefeng Chu
contact affiliationState Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences
contact emailchuyuefeng@caas.cn
lab head
Hao Geng
contact affiliationState Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences
contact email82101221325@caas.cn
dataset submitter
Full Dataset Link List
iProX dataset URI