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Proteomic dataset of non-specific interactors in Leishmania infantum
Wesley Klaysson Pereira Regatieri1, Camila Rolemberg Santana Travaglini Berti de Correia1, Felipe Roberti Teixeira1
1Department of Genetics and Evolution, Federal University of São Carlos, São Paulo, Brazil.
Insights
This study identifies non-specific protein binders in Leishmania infantum using affinity purification coupled to mass spectrometry (AP-MS/MS). The findings offer a valuable resource for interpreting proteomic interactome studies in Leishmania.
Area of Science:
- Proteomics
- Parasitology
- Molecular Biology
Background:
- Affinity purification coupled to mass spectrometry (AP-MS/MS) is crucial for mapping protein-protein interactions.
- Interpreting AP-MS/MS data requires understanding non-specific binding events.
- Leishmania infantum is a significant human pathogen causing visceral and cutaneous leishmaniasis.
Purpose of the Study:
- To generate a proteomic resource of non-specific protein interactions in Leishmania infantum.
- To identify proteins that bind non-specifically across different affinity purification systems.
- To provide a reference dataset for improving interactome studies in Leishmania.
Main Methods:
- Proteomic analysis of Leishmania infantum promastigotes using affinity purification coupled to mass spectrometry (AP-MS/MS).
- Utilized HA, myc, and His affinity systems for immunoprecipitation.
- Processed raw spectral data using MaxQuant and identified proteins via LC-MS/MS.
Main Results:
- Identified 566 unique proteins across all conditions.
- Discovered 60 proteins consistently detected in all three affinity systems, representing putative non-specific binders.
- Metabolism-related proteins (30%) and ribosomal components (28%) were the most abundant functional classes among non-specific binders.
Conclusions:
- This dataset serves as a valuable reference for background protein binding in Leishmania AP-MS/MS experiments.
- The findings support improved interpretation of interactome studies in Leishmania.
- The resource aids in benchmarking affinity purification strategies for Leishmania proteomic research.
Abstract:
This dataset provides a proteomic resource of non-specific protein interactions in Leishmania infantum identified by affinity purification coupled to mass spectrometry (AP-MS/MS). Protein extracts from promastigotes expressing Cas9/T7 RNA polymerase were subjected to immunoprecipitation using HA, myc, and His affinity systems, followed by LC-MS/MS analysis. Raw spectral data were processed using MaxQuant against the L. infantum reference proteome from UniProtKB. The dataset includes raw mass spectrometry files, peptide and protein identification tables, and label-free quantification (LFQ) data, all publicly available via the ProteomeXchange Consortium under the identifier PXD067464. After data filtering, a total of 566 unique proteins were identified across all conditions, including 60 proteins consistently detected in all three affinity systems, representing putative non-specific binders. Among these, metabolism-related proteins (30%) and ribosomal components (28%) were the most abundant functional classes. This dataset provides a valuable reference for background protein binding in AP-MS/MS experiments in Leishmania, supporting improved interpretation of interactome studies and benchmarking of affinity purification strategies.
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