Dataset Information

A proteomic barcoding platform for macromolecular screening and delivery

ABSTRACT: To address the delivery barriers of macromolecular therapeutics, we sought to develop high-throughput peptide barcoding platform as a homogeneous method for macromolecular screening. Implemented in open-source algorithms, BarcodeBabel and PeptideBabel, this approach permits the design of libraries of peptide barcodes and novel penetration sequences optimized for analysis by quantitative mass spectrometry.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Alex Kentsis

LAB HEAD: Alex Kentsis

PROVIDER: PXD048412 | Pride | 2025-05-06

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	HEK293t_Array_Cyto_24h_1.raw	Raw
	HEK293t_Array_Cyto_24h_2.raw	Raw
	HEK293t_Array_Cyto_24h_3.raw	Raw
	HEK293t_Array_Cyto_3h_1.raw	Raw
	HEK293t_Array_Cyto_3h_2.raw	Raw

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Publications

Proteomic Barcoding Platform for Macromolecular Screening and Delivery.

Wang Ning N Mcneer Nicole A NA Eton Elliot E Fass Josh J Kentsis Alex A

Journal of proteome research 20240522 6

Engineered macromolecules offer compelling means for the therapy of conventionally undruggable interactions in human disease. However, their efficacy is limited by barriers to tissue and intracellular delivery. Inspired by recent advances in molecular barcoding and evolution, we developed BarcodeBabel, a generalized method for the design of libraries of peptide barcodes suitable for high-throughput mass spectrometry proteomics. Combined with PeptideBabel, a Monte Carlo sampling algorithm for the ...[more]

PMID: 38776430

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