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Comparative transcriptomic analysis reveals translationally relevant processes in mouse models of malaria
by
Kaforou, Myrsini
, Georgiadou, Athina
, Cunnington, Aubrey J
, Soro-Barrio, Pablo
, Dunican, Claire
, Lee, Hyun Jae
in
Analysis
/ Anemia
/ Animal models
/ Animals
/ Coma
/ Discordance
/ Disease
/ Disease Models, Animal
/ Female
/ Gene expression
/ Gene Expression Profiling - methods
/ Gene Expression Profiling - standards
/ Genes
/ Genetics and Genomics
/ Health aspects
/ Host-Parasite Interactions - genetics
/ Humans
/ Hyperlactatemia
/ Illnesses
/ Infection
/ Infections
/ Malaria
/ Malaria - classification
/ Malaria - parasitology
/ Malaria, Falciparum - parasitology
/ Medical research
/ Medicine, Experimental
/ Mice
/ Mice, Inbred C57BL
/ Microvasculature
/ mouse models
/ Parasites
/ Plasmodium - classification
/ Plasmodium - genetics
/ Reproducibility of Results
/ Tools and Resources
/ Transcriptome
/ Transcriptomics
2022
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Comparative transcriptomic analysis reveals translationally relevant processes in mouse models of malaria
by
Kaforou, Myrsini
, Georgiadou, Athina
, Cunnington, Aubrey J
, Soro-Barrio, Pablo
, Dunican, Claire
, Lee, Hyun Jae
in
Analysis
/ Anemia
/ Animal models
/ Animals
/ Coma
/ Discordance
/ Disease
/ Disease Models, Animal
/ Female
/ Gene expression
/ Gene Expression Profiling - methods
/ Gene Expression Profiling - standards
/ Genes
/ Genetics and Genomics
/ Health aspects
/ Host-Parasite Interactions - genetics
/ Humans
/ Hyperlactatemia
/ Illnesses
/ Infection
/ Infections
/ Malaria
/ Malaria - classification
/ Malaria - parasitology
/ Malaria, Falciparum - parasitology
/ Medical research
/ Medicine, Experimental
/ Mice
/ Mice, Inbred C57BL
/ Microvasculature
/ mouse models
/ Parasites
/ Plasmodium - classification
/ Plasmodium - genetics
/ Reproducibility of Results
/ Tools and Resources
/ Transcriptome
/ Transcriptomics
2022
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Comparative transcriptomic analysis reveals translationally relevant processes in mouse models of malaria
by
Kaforou, Myrsini
, Georgiadou, Athina
, Cunnington, Aubrey J
, Soro-Barrio, Pablo
, Dunican, Claire
, Lee, Hyun Jae
in
Analysis
/ Anemia
/ Animal models
/ Animals
/ Coma
/ Discordance
/ Disease
/ Disease Models, Animal
/ Female
/ Gene expression
/ Gene Expression Profiling - methods
/ Gene Expression Profiling - standards
/ Genes
/ Genetics and Genomics
/ Health aspects
/ Host-Parasite Interactions - genetics
/ Humans
/ Hyperlactatemia
/ Illnesses
/ Infection
/ Infections
/ Malaria
/ Malaria - classification
/ Malaria - parasitology
/ Malaria, Falciparum - parasitology
/ Medical research
/ Medicine, Experimental
/ Mice
/ Mice, Inbred C57BL
/ Microvasculature
/ mouse models
/ Parasites
/ Plasmodium - classification
/ Plasmodium - genetics
/ Reproducibility of Results
/ Tools and Resources
/ Transcriptome
/ Transcriptomics
2022
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Comparative transcriptomic analysis reveals translationally relevant processes in mouse models of malaria
Journal Article
Comparative transcriptomic analysis reveals translationally relevant processes in mouse models of malaria
2022
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Overview
Recent initiatives to improve translation of findings from animal models to human disease have focussed on reproducibility but quantifying the relevance of animal models remains a challenge. Here, we use comparative transcriptomics of blood to evaluate the systemic host response and its concordance between humans with different clinical manifestations of malaria and five commonly used mouse models. Plasmodium yoelii 17XL infection of mice most closely reproduces the profile of gene expression changes seen in the major human severe malaria syndromes, accompanied by high parasite biomass, severe anemia, hyperlactatemia, and cerebral microvascular pathology. However, there is also considerable discordance of changes in gene expression between the different host species and across all models, indicating that the relevance of biological mechanisms of interest in each model should be assessed before conducting experiments. These data will aid the selection of appropriate models for translational malaria research, and the approach is generalizable to other disease models.
Publisher
eLife Science Publications, Ltd,eLife Sciences Publications Ltd,eLife Sciences Publications, Ltd
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