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Updated: May 12, 2026

Bacterial Peptide Display for the Selection of Novel Biotinylating Enzymes
Published on: October 3, 2019
How many signal peptides are there in bacteria?
Dmitry N Ivankov1, Samuel H Payne, Michael Y Galperin
1Technische Universität München, Department of Genome-Oriented Bioinformatics, 85354, Freising, Germany.
Proteogenomics accurately identifies bacterial protein signal peptides, revealing only 10% of E. coli proteins have them, halving previous estimates. This advances genome annotation and protein localization studies.
Area of Science:
- Proteomics
- Genomics
- Molecular Biology
Background:
- High-throughput identification of protein N-termini is crucial for accurate genome annotation.
- Signal peptides determine protein localization (cytoplasmic vs. extracytoplasmic).
- Existing prediction tools have limitations in accurately identifying signal peptides.
Purpose of the Study:
- To investigate the utility of proteogenomics for identifying signal peptides in Escherichia coli K-12.
- To compare proteogenomic findings with existing experimental data and computational predictions.
- To refine estimates of the proportion of E. coli proteins containing signal peptides.
Main Methods:
- Proteogenomic analysis using mass spectrometry to identify protein N-termini.
- Comparison of experimentally determined N-termini with in silico predictions (SignalP, Phobius).
- Application of filters for peptide length, hydrophobic patch, and cleavage sites to validate signal peptides.
Main Results:
- A single proteogenomics experiment identified over a third of experimentally determined signal peptides.
- Confirmed 31 additional predicted signal peptides, primarily in known exported proteins.
- Proteogenomic analysis and updated SignalP predictions suggest only ~10% of E. coli proteins possess signal peptides, half of prior estimates.
Conclusions:
- Proteogenomics is a powerful approach for high-throughput signal peptide identification and genome annotation refinement.
- The study significantly revises the estimated prevalence of signal peptides in E. coli.
- Validated filtering criteria effectively reduce false positives in signal peptide identification.
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