ArticleFrontiers in cell and developmental biology2014
Comparative transcriptomics and metabolomics in a rhesus macaque drug administration study.
Article in Frontiers in cell and developmental biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 24 citations in OpenAlex.
- Multi-omics analysis reveals changes in tryptophan and cholesterol metabolism before and after sexual maturation in captive macaques.BMC genomics · 2023Article
- MaHPIC malaria systems biology data from Plasmodium cynomolgi sporozoite longitudinal infections in macaques.Scientific data · 2022Article
- Comparative transcriptome analysis during seeds development between two soybean cultivars.PeerJ · 2021Article
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- NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data.Nucleic acids research · 2020Article
- Distinct amino acid and lipid perturbations characterize acute versus chronic malaria.JCI insight · 2019Article
- mGAP: the macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease.BMC genomics · 2019Article
- Analysis of erythrocyte dynamics in Rhesus macaque monkeys during infection with Plasmodium cynomolgi.Malaria journal · 2018Article
- From genome-scale data to models of infectious disease: A Bayesian network-based strategy to drive model development.Mathematical biosciences · 2015Article
- Systematic synergy modeling: understanding drug synergy from a systems biology perspective.BMC systems biology · 2015Article
- A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems.BMC systems biology · 2015Article
- Malaria vaccine clinical trials: what's on the horizon.Current opinion in immunology · 2015Review
- Vaccinology in the era of high-throughput biology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Review
- Editorial: Multi-omic data integration.Frontiers in cell and developmental biology · 2015Article
Corrections and comments
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Authors and funding
18 authors at 3 institutions in 1 country.
Funding
Abstract
We describe a multi-omic approach to understanding the effects that the anti-malarial drug pyrimethamine has on immune physiology in rhesus macaques (Macaca mulatta). Whole blood and bone marrow (BM) RNA-Seq and plasma metabolome profiles (each with over 15,000 features) have been generated for five naïve individuals at up to seven timepoints before, during and after three rounds of drug administration. Linear modeling and Bayesian network analyses are both considered, alongside investigations of the impact of statistical modeling strategies on biological inference. Individual macaques were found to be a major source of variance for both omic data types, and factoring individuals into subsequent modeling increases power to detect temporal effects. A major component of the whole blood transcriptome follows the BM with a time-delay, while other components of variation are unique to each compartment. We demonstrate that pyrimethamine administration does impact both compartments throughout the experiment, but very limited perturbation of transcript or metabolite abundance was observed following each round of drug exposure. New insights into the mode of action of the drug are presented in the context of pyrimethamine's predicted effect on suppression of cell division and metabolism in the immune system.
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Registered trials
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