Use of the high-content imaging system equipment to evaluate in vitro infection by Leishmania braziliensis in response to sand fly Nyssomyia neivai saliva

Tirado, Thais Cristina; Andrade, Andrey José de; Ribeiro, Magda Clara Vieira da Costa; Figueiredo, Fabiano Borges

doi:10.1016/j.actatropica.2020.105540

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…For Leishmania , high-content imaging has been used to study anti-leishmanial compounds and their effects on parasites and hosts, comparative anti-parasitic activity against cutaneous and visceral leishmaniasis, or parasite development and infection capacity ( Lakshmi et al., 2014 ; Dagley et al., 2015 ; Tegazzini et al., 2016 ; Lamotte et al., 2019 ; Alcântara et al., 2020 ; Rosazza et al., 2020 ; Tirado et al., 2020 ; Fehling et al., 2021 ). A recent example of successful integration of imaging in the context of systems biology, was the use of CRISPR-Cas9 genome editing to generate Leishmania mutants with altered flagellar function and motility.…”

Section: Imagingmentioning

confidence: 99%

Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research

Kent

Briggs²,

Colon³

et al. 2022

Front. Cell. Infect. Microbiol.

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In the age of big data an important question is how to ensure we make the most out of the resources we generate. In this review, we discuss the major methods used in Apicomplexan and Kinetoplastid research to produce big datasets and advance our understanding of Plasmodium, Toxoplasma, Cryptosporidium, Trypanosoma and Leishmania biology. We debate the benefits and limitations of the current technologies, and propose future advancements that may be key to improving our use of these techniques. Finally, we consider the difficulties the field faces when trying to make the most of the abundance of data that has already been, and will continue to be, generated.

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