Cargando…
High-throughput analysis of the transcriptional patterns of sexual genes in malaria
BACKGROUND: Plasmodium falciparum (Pf) is the leading protozoan causing malaria, the most devastating parasitic disease. To ensure transmission, a small subset of Pf parasites differentiate into the sexual forms (gametocytes). Since the abundance of these essential parasitic forms is extremely low w...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838061/ https://www.ncbi.nlm.nih.gov/pubmed/36639683 http://dx.doi.org/10.1186/s13071-022-05624-w |
_version_ | 1784869204643545088 |
---|---|
author | Cruz Camacho, Abel Kiper, Edo Oren, Sonia Zaharoni, Nir Nir, Netta Soffer, Noam Noy, Yael Ben David, Bar Rivkin, Anna Rotkopf, Ron Michael, Dan Carvalho, Teresa G. Regev-Rudzki, Neta |
author_facet | Cruz Camacho, Abel Kiper, Edo Oren, Sonia Zaharoni, Nir Nir, Netta Soffer, Noam Noy, Yael Ben David, Bar Rivkin, Anna Rotkopf, Ron Michael, Dan Carvalho, Teresa G. Regev-Rudzki, Neta |
author_sort | Cruz Camacho, Abel |
collection | PubMed |
description | BACKGROUND: Plasmodium falciparum (Pf) is the leading protozoan causing malaria, the most devastating parasitic disease. To ensure transmission, a small subset of Pf parasites differentiate into the sexual forms (gametocytes). Since the abundance of these essential parasitic forms is extremely low within the human host, little is currently known about the molecular regulation of their sexual differentiation, highlighting the need to develop tools to investigate Pf gene expression during this fundamental mechanism. METHODS: We developed a high-throughput quantitative Reverse-Transcription PCR (RT-qPCR) platform to robustly monitor Pf transcriptional patterns, in particular, systematically profiling the transcriptional pattern of a large panel of gametocyte-related genes (GRG). Initially, we evaluated the technical performance of the systematic RT-qPCR platform to ensure it complies with the accepted quality standards for: (i) RNA extraction, (ii) cDNA synthesis and (iii) evaluation of gene expression through RT-qPCR. We then used this approach to monitor alterations in gene expression of a panel of GRG upon treatment with gametocytogenesis regulators. RESULTS: We thoroughly elucidated GRG expression profiles under treatment with the antimalarial drug dihydroartemisinin (DHA) or the metabolite choline over the course of a Pf blood cycle (48 h). We demonstrate that both significantly alter the expression pattern of PfAP2-G, the gametocytogenesis master regulator. However, they also markedly modify the developmental rate of the parasites and thus might bias the mRNA expression. Additionally, we screened the effect of the metabolites lactate and kynurenic acid, abundant in severe malaria, as potential regulators of gametocytogenesis. CONCLUSIONS: Our data demonstrate that the high-throughput RT-qPCR method enables studying the immediate transcriptional response initiating gametocytogenesis of the parasites from a very low volume of malaria-infected RBC samples. The obtained data expand the current knowledge of the initial alterations in mRNA profiles of GRG upon treatment with reported regulators. In addition, using this method emphasizes that asexual parasite stage composition is a crucial element that must be considered when interpreting changes in GRG expression by RT-qPCR, specifically when screening for novel compounds that could regulate Pf sexual differentiation. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-022-05624-w. |
format | Online Article Text |
id | pubmed-9838061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98380612023-01-14 High-throughput analysis of the transcriptional patterns of sexual genes in malaria Cruz Camacho, Abel Kiper, Edo Oren, Sonia Zaharoni, Nir Nir, Netta Soffer, Noam Noy, Yael Ben David, Bar Rivkin, Anna Rotkopf, Ron Michael, Dan Carvalho, Teresa G. Regev-Rudzki, Neta Parasit Vectors Methodology BACKGROUND: Plasmodium falciparum (Pf) is the leading protozoan causing malaria, the most devastating parasitic disease. To ensure transmission, a small subset of Pf parasites differentiate into the sexual forms (gametocytes). Since the abundance of these essential parasitic forms is extremely low within the human host, little is currently known about the molecular regulation of their sexual differentiation, highlighting the need to develop tools to investigate Pf gene expression during this fundamental mechanism. METHODS: We developed a high-throughput quantitative Reverse-Transcription PCR (RT-qPCR) platform to robustly monitor Pf transcriptional patterns, in particular, systematically profiling the transcriptional pattern of a large panel of gametocyte-related genes (GRG). Initially, we evaluated the technical performance of the systematic RT-qPCR platform to ensure it complies with the accepted quality standards for: (i) RNA extraction, (ii) cDNA synthesis and (iii) evaluation of gene expression through RT-qPCR. We then used this approach to monitor alterations in gene expression of a panel of GRG upon treatment with gametocytogenesis regulators. RESULTS: We thoroughly elucidated GRG expression profiles under treatment with the antimalarial drug dihydroartemisinin (DHA) or the metabolite choline over the course of a Pf blood cycle (48 h). We demonstrate that both significantly alter the expression pattern of PfAP2-G, the gametocytogenesis master regulator. However, they also markedly modify the developmental rate of the parasites and thus might bias the mRNA expression. Additionally, we screened the effect of the metabolites lactate and kynurenic acid, abundant in severe malaria, as potential regulators of gametocytogenesis. CONCLUSIONS: Our data demonstrate that the high-throughput RT-qPCR method enables studying the immediate transcriptional response initiating gametocytogenesis of the parasites from a very low volume of malaria-infected RBC samples. The obtained data expand the current knowledge of the initial alterations in mRNA profiles of GRG upon treatment with reported regulators. In addition, using this method emphasizes that asexual parasite stage composition is a crucial element that must be considered when interpreting changes in GRG expression by RT-qPCR, specifically when screening for novel compounds that could regulate Pf sexual differentiation. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-022-05624-w. BioMed Central 2023-01-13 /pmc/articles/PMC9838061/ /pubmed/36639683 http://dx.doi.org/10.1186/s13071-022-05624-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Cruz Camacho, Abel Kiper, Edo Oren, Sonia Zaharoni, Nir Nir, Netta Soffer, Noam Noy, Yael Ben David, Bar Rivkin, Anna Rotkopf, Ron Michael, Dan Carvalho, Teresa G. Regev-Rudzki, Neta High-throughput analysis of the transcriptional patterns of sexual genes in malaria |
title | High-throughput analysis of the transcriptional patterns of sexual genes in malaria |
title_full | High-throughput analysis of the transcriptional patterns of sexual genes in malaria |
title_fullStr | High-throughput analysis of the transcriptional patterns of sexual genes in malaria |
title_full_unstemmed | High-throughput analysis of the transcriptional patterns of sexual genes in malaria |
title_short | High-throughput analysis of the transcriptional patterns of sexual genes in malaria |
title_sort | high-throughput analysis of the transcriptional patterns of sexual genes in malaria |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838061/ https://www.ncbi.nlm.nih.gov/pubmed/36639683 http://dx.doi.org/10.1186/s13071-022-05624-w |
work_keys_str_mv | AT cruzcamachoabel highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT kiperedo highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT orensonia highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT zaharoninir highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT nirnetta highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT soffernoam highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT noyyael highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT bendavidbar highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT rivkinanna highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT rotkopfron highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT michaeldan highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT carvalhoteresag highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria AT regevrudzkineta highthroughputanalysisofthetranscriptionalpatternsofsexualgenesinmalaria |