MaHPIC malaria systems biology data from Plasmodium cynomolgi sporozoite longitudinal infections in macaques

来自猕猴体内疟原虫子孢子纵向感染的MaHPIC疟疾系统生物学数据

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作者:Jeremy D DeBarry ,Mustafa V Nural ,Suman B Pakala ,Vishal Nayak ,Susanne Warrenfeltz ,Jay Humphrey ,Stacey A Lapp ,Monica Cabrera-Mora ,Cristiana F A Brito ,Jianlin Jiang ,Celia L Saney ,Allison Hankus ,Hannah M Stealey ,Megan B DeBarry ,Nicolas Lackman ,Noah Legall ,Kevin Lee ,Yan Tang ,Anuj Gupta ,Elizabeth D Trippe ,Robert R Bridger ,Daniel Brent Weatherly ,Mariko S Peterson ,Xuntian Jiang ,ViLinh Tran ,Karan Uppal ,Luis L Fonseca ,Chester J Joyner ,Ebru Karpuzoglu ,Regina J Cordy ,Esmeralda V S Meyer ,Lance L Wells ,Daniel S Ory ,F Eun-Hyung Lee ,Rabindra Tirouvanziam ,Juan B Gutiérrez ,Chris Ibegbu ,Tracey J Lamb ,Jan Pohl ,Sarah T Pruett ,Dean P Jones ,Mark P Styczynski ,Eberhard O Voit ,Alberto Moreno ,Mary R Galinski ,Jessica C Kissinger

Abstract

Plasmodium cynomolgi causes zoonotic malarial infections in Southeast Asia and this parasite species is important as a model for Plasmodium vivax and Plasmodium ovale. Each of these species produces hypnozoites in the liver, which can cause relapsing infections in the blood. Here we present methods and data generated from iterative longitudinal systems biology infection experiments designed and performed by the Malaria Host-Pathogen Interaction Center (MaHPIC) to delve deeper into the biology, pathogenesis, and immune responses of P. cynomolgi in the Macaca mulatta host. Infections were initiated by sporozoite inoculation. Blood and bone marrow samples were collected at defined timepoints for biological and computational experiments and integrative analyses revolving around primary illness, relapse illness, and subsequent disease and immune response patterns. Parasitological, clinical, haematological, immune response, and -omic datasets (transcriptomics, proteomics, metabolomics, and lipidomics) including metadata and computational results have been deposited in public repositories. The scope and depth of these datasets are unprecedented in studies of malaria, and they are projected to be a F.A.I.R., reliable data resource for decades.

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