The protein map of the protozoan parasite Leishmania (Leishmania) amazonensis, Leishmania (Viannia) braziliensis and Leishmania (Leishmania) infantum during growth phase transition and temperature stress
Mule, S. N.; Saad, J. S.; Sauter, I. P.; Fernandes, L. R.; de Oliveira, G. S.; Quina, D.; Tano, F. T.; Brandt-Almeida, D.; Stolf, B. S.; Larsen, M. R.; Cortez, M.; Palmisano, G.
Show abstract
Leishmania parasites cause a spectrum of diseases termed leishmaniasis, which manifests in two main clinical forms, cutaneous and visceral leishmaniasis. Leishmania promastigotes transit from proliferative exponential to quiescent stationary phases inside the insect vector, a relevant step that recapitulates early molecular events of metacyclogenesis. During the insect blood meal of the mammalian hosts, the released parasites interact initially with the skin, an event marked by temperature changes. Deep knowledge on the molecular events activated during Leishmania-host interactions in each step is crucial to develop better therapies and to understand the pathogenesis. In this study, the proteomes of Leishmania (Leishmania) amazonensis (La), Leishmania (Viannia) braziliensis (Lb), and Leishmania (Leishmania) infantum (syn L. L. chagasi) (Lc) were analyzed using quantitative proteomics to uncover the proteome modulation in three different conditions related to growth phases and temperature shifts: 1) exponential phase (Exp); 2) stationary phase (Sta25) and; 3) stationary phase subjected to heat stress (Sta34). Functional validations were performed using orthogonal techniques, focusing on -tubulin, gp63 and heat shock proteins (HSPs). Species-specific and condition-specific modulation highlights the plasticity of the Leishmania proteome, showing that pathways related to metabolism and cytoskeleton are significantly modulated from exponential to stationary growth phases, while protein folding, unfolded protein binding, signaling and microtubule-based movement were differentially altered during temperature shifts. This study provides an in-depth proteome analysis of three Leishmania spp., and contributes compelling evidence of the molecular alterations of these parasites in conditions mimicking the interaction of the parasites with the insect vector and vertebrate hosts.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Distinct features of the Leishmania cap-binding protein LeishIF4E2 revealed by CRISPR-Cas9 mediated heterozygous deletion 96%
- Distinct gene expression patterns in vector-residing Leishmania infantum identify parasite stage-enriched markers 96%
- Comparative and systems analyses of Leishmania spp. non-coding RNAs through developmental stages 94%
Similar papers in this journal
- Transcriptome-wide identification of coding and noncoding RNA-binding proteins defines the comprehensive RNA interactome of Leishmania mexicana 94%
- Tissue specific dual RNA-seq defines host-parasite interplay in murine visceral leishmaniasis caused by Leishmania donovani and Leishmania infantum 93%
- Trypanosoma cruzi isolates naturally adapted to congenital transmission display a unique strategy of transplacental passage 93%
Similar papers in this journal
- APEX2 proximity proteomics resolves flagellum subdomains and identifies flagellum tip-specific proteins in Trypanosoma brucei 92%
- Phosphorylation of the canonical histone H2A marks foci of damaged DNA in malaria parasite 92%
- Lathosterol oxidase (sterol C5-desaturase) deletion confers resistance to amphotericin B and sensitivity to acidic stress in Leishmania major 92%
Similar papers in this journal
- Laser capture microdissection in combination with mass spectrometry: Approach to characterization of tissue-specific proteomes of Eudiplozoon nipponicum (Monogenea, Polyopisthocotylea) 94%
- Comparative analysis of biological aspects of Leishmania infantum isolates 93%
- Proteomic identification of the UDP-GlcNAc : PI α1-6 GlcNAc-transferase subunits of the glycosylphosphatidylinositol biosynthetic pathway of <Trypanosoma brucei>. 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.