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PXD043932

PXD043932 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitlePeptide codes for organ-selective mRNA delivery
DescriptionOrgan-selective delivery of messenger RNA (mRNA) is critical for fulfilling the therapeutic potential of mRNA-based gene and protein replacement technologies. Despite clinical advances in hepatic delivery of mRNA using lipid nanoparticles (LNPs), strategies for extrahepatic organ-selective mRNA delivery remain underexplored. Here, we report a strategy, termed peptide-encoded organ-selective targeting (POST), that allows digital programming of LNPs, through surface engineering with specific amino acid sequences (POST codes), to deliver mRNA to extrahepatic organs after intravenous administration. Our molecular dynamics simulations also suggest the optimized fracture mechanics of peptide-protein assembly as a mechanism underlying sequence-dependent association between POST code and potentially organ-targeting corona proteins. POST codes are also compatible with organ-selective delivery of different ribonucleic acids and multiple gene editing machineries. This “POST code” platform presents a theoretically unlimited modular repertoire for LNP surface engineering for directing organ-tropism, thereby providing opportunities to broaden the scope and versatility of organ-selective mRNA delivery.
HostingRepositoryiProX
AnnounceDate2023-07-20
AnnouncementXMLSubmission_2023-10-30_01:01:29.154.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterTie Chang
SpeciesList scientific name: Mus musculus; NCBI TaxID: 10090;
ModificationList(13)C labeled residue
InstrumentLTQ FT
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-07-19 21:08:06ID requested
12023-10-30 01:01:29announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: protein corona
Contact List
Yue Shao
contact affiliationTsinghua University
contact emailct21@mails.tsinghua.edu.cn
lab head
Tie Chang
contact affiliationTsinghua University
contact email799030370@qq.com
dataset submitter
Full Dataset Link List
iProX dataset URI