4.7 Article

Flowcytometric and ImageStream Rna-Fish Gene Expression, Quantification and Phenotypic Characterization of Blood Sporozoites and Sporozoites From Human Malaria Species

Journal

JOURNAL OF INFECTIOUS DISEASES
Volume 225, Issue 9, Pages 1621-1625

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/infdis/jiab431

Keywords

flow analyses; Plasmodium; RNA-FISH

Funding

  1. French Parasitology Consortium ParaFrap [ANR-11-LABX0024]
  2. Fondation Pasteur Suisse
  3. Pasteur Cantarini-Roux postdoc fellowship
  4. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP), Brazil [2016/18740-9]

Ask authors/readers for more resources

The new Flow-FISH method combines RNA detection and cell staining techniques to accurately quantify different stages of malaria parasites, suitable for gene expression studies and analysis of liver-stage sporozoites.
Thanks to the combination of Plasmodium-specific RNA detection and surface and nucleus staining, the new Flow-FISH method allowed us to characterize and quantify asexual and sexual blood-stage parasite from P vivax clinical samples as well as liver-stage parasites. We adapted the RNA FISH Stellaris method to specifically detect the expression of Plasmodium genes by flow cytometry and ImageStream (Flow-FISH). This new method accurately quantified the erythrocytic forms of (1) Plasmodium falciparum and Plasmodium vivax and (2) the sexual stages of P vivax from patient isolates. ImageStream analysis of liver stage sporozoites using a combination of surface circumsporozoite protein (CSP), deoxyribonucleic acid, and 18S RNA labeling proved that the new Flow-FISH is suitable for gene expression studies of transmission stages. This powerful multiparametric single-cell method offers a platform of choice for both applied and fundamental research on the biology of malaria parasites.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available