ArticleAnalytical chemistry2021
MANTI: Automated Annotation of Protein N-Termini for Rapid Interpretation of N-Terminome Data Sets.
Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Degradomics for large-scale mechanistic insights on proteases and proteolysis in human health.The FEBS journal · 2026Review
- Exploiting Selective Position Labeling to Unveil the Hidden Complexity of Terminomics.Molecules (Basel, Switzerland) · 2026Review
- Proteolytic profiling of human plasma reveals an immunoactive complement C3 fragment.The EMBO journal · 2025Article
- Data Processing and Analysis in Positional Proteomics.Proteomics · 2025Review
- CLIPPER 2.0: Peptide-Level Annotation and Data Analysis for Positional Proteomics.Molecular & cellular proteomics : MCP · 2024Article
- A bipartite chromatophore transit peptide and N-terminal protein processing in the Paulinella chromatophore.Plant physiology · 2022Article
- A User Guide to Validation, Annotation, and Evaluation of N-Terminome Datasets with MANTI.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Sensitive Plant N-Terminome Profiling with HUNTER.Methods in molecular biology (Clifton, N.J.) · 2022Article
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4 authors.
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Abstract
Site-specific proteolytic processing is an important, irreversible post-translational protein modification with implications in many diseases. Enrichment of protein N-terminal peptides followed by mass spectrometry-based identification and quantification enables proteome-wide characterization of proteolytic processes and protease substrates but is challenged by the lack of specific annotation tools. A common problem is, for example, ambiguous matches of identified peptides to multiple protein entries in the databases used for identification. We developed MaxQuant Advanced N-termini Interpreter (MANTI), a standalone Perl software with an optional graphical user interface that validates and annotates N-terminal peptides identified by database searches with the popular MaxQuant software package by integrating information from multiple data sources. MANTI utilizes diverse annotation information in a multistep decision process to assign a conservative preferred protein entry for each N-terminal peptide, enabling automated classification according to the likely origin and determines significant changes in N-terminal peptide abundance. Auxiliary R scripts included in the software package summarize and visualize key aspects of the data. To showcase the utility of MANTI, we generated two large-scale TAILS N-terminome data sets from two different animal models of chemically and genetically induced kidney disease, puromycin adenonucleoside-treated rats (PAN), and heterozygous Wilms Tumor protein 1 mice (WT1). MANTI enabled rapid validation and autonomous annotation of >10 000 identified terminal peptides, revealing novel proteolytic proteoforms in 905 and 644 proteins, respectively. Quantitative analysis indicated that proteolytic activities with similar sequence specificity are involved in the pathogenesis of kidney injury and proteinuria in both models, whereas coagulation processes and complement activation were specifically induced after chemical injury.
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