Evidence map›Paper›PMID 33707618›Full record

ArticleCommunications biology2021

PhyloQuant approach provides insights into Trypanosoma cruzi evolution using a systems-wide mass spectrometry-based quantitative protein profile.

Simon Ngao Mule, André Guilherme Costa-Martins, Livia Rosa-Fernandes, Gilberto Santos de Oliveira, Carla Monadeli F Rodrigues, Daniel Quina, Graziella E Rosein, Marta Maria Geraldes Teixeira, Giuseppe Palmisano

Abstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Coinfection by multipleMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  2. Article
  3. Virulence · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Simon Ngao MuleDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
André Guilherme Costa-MartinsDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Livia Rosa-FernandesDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-1612-1950
Gilberto Santos de OliveiraDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-2215-1259
Carla Monadeli F RodriguesDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Daniel QuinaDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Graziella E RoseinDepartment of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, Brazil.
Marta Maria Geraldes TeixeiraDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Giuseppe PalmisanoDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil. palmisano.gp@usp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The etiological agent of Chagas disease, Trypanosoma cruzi, is a complex of seven genetic subdivisions termed discrete typing units (DTUs), TcI-TcVI and Tcbat. The relevance of T. cruzi genetic diversity to the variable clinical course of the disease, virulence, pathogenicity, drug resistance, transmission cycles and ecological distribution requires understanding the parasite origin and population structure. In this study, we introduce the PhyloQuant approach to infer the evolutionary relationships between organisms based on differential mass spectrometry-based quantitative features. In particular, large scale quantitative bottom-up proteomics features (MS1, iBAQ and LFQ) were analyzed using maximum parsimony, showing a correlation between T. cruzi DTUs and closely related trypanosomes' protein expression and sequence-based clustering. Character mapping enabled the identification of synapomorphies, herein the proteins and their respective expression profiles that differentiate T. cruzi DTUs and trypanosome species. The distance matrices based on phylogenetics and PhyloQuant clustering showed statistically significant correlation highlighting the complementarity between the two strategies. Moreover, PhyloQuant allows the identification of differentially regulated and strain/DTU/species-specific proteins, and has potential application in the identification of specific biomarkers and candidate therapeutic targets.

Indexed as

Evolution, MolecularProteomeProteomicsTandem Mass SpectrometryChromatography, High Pressure LiquidGene Expression RegulationPhylogenyProtozoan ProteinsTrypanosoma cruziProteomeProtozoan Proteins

Identifiers

PMID33707618
PMCPMC7952728

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.