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Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...

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Updated: Jun 25, 2025

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform

Published on: January 13, 2016

Proteomic Barcoding Platform for Macromolecular Screening and Delivery.

Ning Wang¹, Nicole A Mcneer¹, Elliot Eton¹

¹Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, United States.

Journal of Proteome Research

|May 22, 2024

Summary

This summary is machine-generated.

Researchers developed BarcodeBabel and PeptideBabel, enabling the design of cell-penetrating peptides (CPPs) for enhanced drug delivery. These novel peptides show improved intracellular delivery with minimal toxicity, advancing macromolecular therapeutics.

Keywords:

cell penetration macromolecular drug delivery mass spectrometry proteomics molecular screening peptide barcoding

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Area of Science:

Biotechnology
Molecular Biology
Drug Delivery

Background:

Engineered macromolecules show promise for treating diseases caused by undruggable targets.
Current limitations in therapeutic efficacy are due to challenges in tissue and intracellular delivery.
Advances in molecular barcoding and evolution inspired a new approach.

Purpose of the Study:

To develop a generalized method (BarcodeBabel) for designing peptide barcode libraries.
To create a library of cell-penetrating peptides (CPPs) with tunable properties using PeptideBabel.
To improve the delivery of macromolecules into cells for therapeutic applications.

Main Methods:

Developed BarcodeBabel for designing peptide libraries for high-throughput mass spectrometry proteomics.
Utilized PeptideBabel, a Monte Carlo algorithm, for designing peptides with specific physicochemical properties.
Employed quantitative targeted mass spectrometry to identify and quantify CPPs in cells.

Main Results:

Successfully designed and created a barcoded library of CPPs with diverse physicochemical features.
Identified CPPs demonstrating enhanced nuclear and cytoplasmic delivery (millions of molecules per cell).
Achieved minimal membrane disruption and negligible toxicity in vitro with the developed CPPs.

Conclusions:

BarcodeBabel and PeptideBabel offer a robust platform for high-throughput screening of macromolecular delivery systems.
This peptide barcoding approach provides a proof of concept for efficient intracellular delivery of therapeutics.
The open-source availability facilitates further research in macromolecular drug delivery and screening.