Evidence map›Paper›PMID 40782493›Full record

ArticleBlood cells, molecules & diseases2025

Phenotypic screens reveal Plasmodium falciparum genetic factors associated with infection of sickle-trait cells.

Camilla V Pires, Jenna Oberstaller, Chengqi Wang, Justin Gibbons, Chiara Micchelli, Min Zhang, Thomas D Otto, Julian C Rayner, Steve Taylor, John H Adams

Abstract read
In one paragraph

Article in Blood cells, molecules & diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Camilla V PiresCenter for Global Health and Inter-Disciplinary Research, USF Genomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, FL, United States.
Jenna OberstallerCenter for Global Health and Inter-Disciplinary Research, USF Genomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, FL, United States.
Chengqi WangCenter for Global Health and Inter-Disciplinary Research, USF Genomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, FL, United States.
Justin GibbonsCenter for Global Health and Inter-Disciplinary Research, USF Genomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, FL, United States.
Chiara MicchelliCenter for Global Health and Inter-Disciplinary Research, USF Genomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, FL, United States; Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, United States.
Min ZhangCenter for Global Health and Inter-Disciplinary Research, USF Genomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, FL, United States.
Thomas D OttoInstitute of Infection, Immunity, and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Julian C RaynerCambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom.
Steve TaylorDivision of Infectious Diseases, Duke University School of Medicine, Durham, NC, United States.
John H AdamsCenter for Global Health and Inter-Disciplinary Research, USF Genomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, FL, United States; Department of Clinical Tropical Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand. Electronic address: ja2@usf.edu.

Funding

Chemogenomic Profiling of Plasmodium Falciparum Responses and ResistanceR01AI117017 · NIAID · UNIVERSITY OF SOUTH FLORIDA · PI ADAMS, JOHN H · 2015 to 2025
$6.9M
Discovering the essential genome of Plasmodium falciparumR01AI130171 · NIAID · UNIVERSITY OF SOUTH FLORIDA · PI ADAMS, JOHN H · 2018 to 2021
$2.8M
Impact of Sickle-Trait on Transcriptional Regulation in P. Falciparum ParasitesR21AI125988 · NIAID · DUKE UNIVERSITY · PI TAYLOR, STEVE MYER · 2017 to 2018
$431k
NIAID NIH HHS R01 AI117017NIAID NIH HHS R01 AI130171NIAID NIH HHS R21 AI125988
6 · The paper itself

Abstract

backgroundMalaria causes over 200 million cases and more than half a million deaths annually. In many African regions, hemoglobinopathies, such as sickle cell trait (HbAS), confer partial protection against severe P. falciparum malaria. HbAS significantly reduces the risk of severe, life-threatening malaria by over 90 %. This study aims to describe a new analysis for the piggyBac transposon-based mutagenesis phenotypic screen to identify genes that influence the mechanisms behind this protection and tolerance of P. falciparum to the HbAS intracellular microenvironment, providing insights into potential new targets for malaria intervention and the evolutionary relationship between host and parasite.

methodsWe optimized and successfully employed a phenotypic screen using a piggyBac transposon-mutant library of P. falciparum to identify genetic factors essential for parasite survival in HbAS RBCs. Parasites were cultured in vitro in HbAS and control HbAA RBCs. Parasite growth was assessed via Quantitative Insertion Site Sequencing (QIseq) to determine sensitivity of each mutant in response to the conditions of HbAS RBCs identifying sensitive and tolerant mutants. Finally, a pairwise comparison was performed between HbAS and previously published piggyBac screens to infer potential links between HbAS infection and parasite responses to heat-shock, antimalarial drugs and oxidative stress.

resultsOur findings revealed that P. falciparum mutants sensitive to HbAS growth are associated with genes involved in signaling pathways, exported proteins, and host-interaction genes. These genetic factors overlap with those involved in the parasite's response to oxidative stress and antimalarial drug sensitivity, such as artemisinin derivates and proteasome inhibitor.

conclusionsOur study identifies genetic factors influencing P. falciparum infection in HbAS RBCs, shedding light on how HbAS may counteract with the parasite, suggesting a connection between sickle-trait infections and other stress responses, such as heat-shock, artemisinin and oxidative stress.

Indexed as

Malaria, FalciparumPlasmodium falciparumSickle Cell TraitAntimalarialsDNA Transposable ElementsErythrocytesHumansPhenotypeAntimalarialsDNA Transposable Elements

Identifiers

PMID40782493
PMCPMC13404236

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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.