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PXD056387

PXD056387 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleLipopolysaccharide Imprinted Polymers for Specific Recognition of Bacterial Outer Membrane Vesicles
DescriptionWe introduce lipopolysaccharide (LPS) molecularly imprinted polymer (MIP) for efficient capturing and analyzing OMVs, enabling a novel approach to bacterial disease diagnosis based on biorecognition materials. LPS, a unique structure of Gram-negative bacteria, acts as a template molecule capable of forming cyclic hydrogen bonds with functional monomers of MIP. And then it can be recognized by MIP. The prepared MIP efficiently captures OMVs from 100 µL of culture broth via specific affinity LPS in less than 40 minutes with a recovery rate of over 95%. Moreover, MIP exhibit good reusability, with almost identical enrichment performance after 5 repeated cycles, contributing to reducing experimental costs in both time and economy. The captured OMVs can be detected using Western blotting with target protein antibodies or in combination with proteomic analysis, providing a proteomic biomarker platform for early bacteria disease diagnosis.
HostingRepositoryiProX
AnnounceDate2024-09-30
AnnouncementXMLSubmission_2024-09-30_05:28:19.632.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterWenjing Yu
SpeciesList scientific name: Escherichia coli-Thermotoga shuttle vector pDH10; NCBI TaxID: 1127224;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-09-30 05:28:06ID requested
12024-09-30 05:28:20announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Molecularly imprinted polymers, Lipopolysaccharide, Outer membrane vesicles, Proteomics
Contact List
Lianghai Hu
contact affiliationJilin University
contact emaillianghaihu@jlu.edu.cn
lab head
Wenjing Yu
contact affiliationJilin University
contact email2975578193@qq.com
dataset submitter
Full Dataset Link List
iProX dataset URI