The genomic architecture of host whole blood transcriptional response to malaria infection
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ABSTRACT: Analysis of the effect of malaria infection on whole blood gene expression and uncovering regulatory effects using eQTL analysis. Testing for relashionships between genotype, expression and malaria phenotypes. We generated whole blood gene expression profiles and genotypes from 155 West-African children including 94 cases undergoing the symptomatic phase of blood-stage Plasmodium falciparum infection and 61 age-matched controls. PCA, analysis of covariance and eQTL analysis were performed on the data.
Project description:Analysis of the effect of malaria infection on whole blood gene expression and uncovering regulatory effects using eQTL analysis. Testing for relashionships between genotype, expression and malaria phenotypes.
Project description:We performed a genome-wide profiling of miRNAs and mRNA, DNA sequencing of human whole blood sample to identify miRNAs responsive to P.falciparum (P.f) infection and/or associated with parasite load. We identified a set of 72 miRNAs that are positively or negatively associated with parasitemia. We also performed expression quantitative trait loci of miRNAs(miR-eQTL) of P.f infected individuals. The miR-eQTL dataset allowed us to determine relevant genetic variant responsible for miRNAs expression differences between P.f infected individuals and find novel malaria-associated miRNAs
Project description:We performed a genome-wide profiling of miRNAs and mRNA, DNA sequencing of human whole blood sample to identify miRNAs responsive to P.falciparum (P.f) infection and/or associated with parasite load. We identified a set of 72 miRNAs that are positively or negatively associated with parasitemia. We also performed expression quantitative trait loci of miRNAs(miR-eQTL) of P.f infected individuals. The miR-eQTL dataset allowed us to determine relevant genetic variant responsible for miRNAs expression differences between P.f infected individuals and find novel malaria-associated miRNAs
Project description:RTS,S is the sole candidate vaccine shown to provide protection against infection to malaria-naive adults challenged with mosquito-borne homologous falciparum malaria and protection against infection and clinical and severe disease to volunteers in malaria-endemic Africa who were exposed to diverse Plasmodium falciparum strains. In this experiment we profiled gene expression in PBMCs after vaccination with the RTS,S candidate malaria vaccine in a controlled human malaria infection study. Subjects were vaccinated with three doses of the RTS,S candidate malaria vaccine. Blood samples for PBMC isolation and subsequent gene expression analysis were taken on day 0 (0m), day of the third vaccination (8w), 1 day post third vaccination (8w1d), 3 days post third vaccination (8w3d), the day of the infection (10w), 1 day post infection (10w1d), and 5 days post infection (10w5d). After infection the subjects were closely monitored for parasitemia. The response to the controlled infection was recorded as follows: no parasitemia (P, protected), parasitemia in the same time frame as the control group (NP, not protected), parasitemia later than the control group (DL, delayed). In addition to the experimental factors, a confounding factor was identified in the data analysis related to the use of a specific kit batch (Kit A or B).
Project description:Gene expression data from whole-blood collected from Kenyan children with Plasmodium falciparum malaria infection at acute hospital admission (n=15) and at convalescence (n=9). A clinical history design type is where the organisms clinical history of diagnosis, treatments, e.g. vaccinations, surgery etc. Disease State: with Plasmodium falciparum malaria infection at acute hospital admission and at convalescence clinical_history_design
Project description:Africa’s environmental, cultural and genetic diversity can significantlygreatly influences how the populations’ respondse to infectious diseases, including malaria, caused by Plasmodium falciparum. Differences in susceptibility to malaria between populations are documented but the underlying mechanisms are poorly understood. The Fulani ethnic group in Africa was reported to be less susceptible to malaria compared to other sympatric groups, such as the Mossi., They exhibit with lower disease rates and parasite load, as well as higher levels of serological protection. Unraveling the underlying genetic, molecular and cellularimmunological basis of this protection remains challenging, in part due to a lack of in-depth immunological characterization at the cellular level. Therefore, to address this question, we performed single cell transcriptomic RNA sequencing analysis ofon peripheral blood mononuclear cells from 126 infected and non-infected Fulani and Mossi children in rural Burkina Faso., This analysis generateding > 70,000 single-cell RNA-Seq profiles and identifiedying 30 cell subtypes. By performing cell subtype proportion analysis, we report an increased abundance of γδ T cells in infected Fulani samples compared to the Mossi counterpart. Moreover, cell-type specific differential expression analysis revealed ethnic-specific immune signatures in both infection states, and highlighted lower pro-inflammatory responses in the monocytes and T cell subtypes of the Fulani in both infection states, with a stronger activation and inflammatory profile in their B cell subtypes. Single-cell expression quantitative trait loci (eQTL) analysis in monocytes of infected samples revealed several significant regulatory variants with ethnic-specific effects. Overall, the results demonstrate the power of single cell transcriptomics in identifying ethnic, cell-type specific and genetic regulatory effects in the host immune response to malaria and provide valuable single-cell eQTL and transcriptomic data from populations underrepresented in genomic studies.
Project description:Africa’s environmental, cultural and genetic diversity can significantlygreatly influences how the populations’ respondse to infectious diseases, including malaria, caused by Plasmodium falciparum. Differences in susceptibility to malaria between populations are documented but the underlying mechanisms are poorly understood. The Fulani ethnic group in Africa was reported to be less susceptible to malaria compared to other sympatric groups, such as the Mossi., They exhibit with lower disease rates and parasite load, as well as higher levels of serological protection. Unraveling the underlying genetic, molecular and cellularimmunological basis of this protection remains challenging, in part due to a lack of in-depth immunological characterization at the cellular level. Therefore, to address this question, we performed single cell transcriptomic RNA sequencing analysis ofon peripheral blood mononuclear cells from 126 infected and non-infected Fulani and Mossi children in rural Burkina Faso., This analysis generateding > 70,000 single-cell RNA-Seq profiles and identifiedying 30 cell subtypes. By performing cell subtype proportion analysis, we report an increased abundance of γδ T cells in infected Fulani samples compared to the Mossi counterpart. Moreover, cell-type specific differential expression analysis revealed ethnic-specific immune signatures in both infection states, and highlighted lower pro-inflammatory responses in the monocytes and T cell subtypes of the Fulani in both infection states, with a stronger activation and inflammatory profile in their B cell subtypes. Single-cell expression quantitative trait loci (eQTL) analysis in monocytes of infected samples revealed several significant regulatory variants with ethnic-specific effects. Overall, the results demonstrate the power of single cell transcriptomics in identifying ethnic, cell-type specific and genetic regulatory effects in the host immune response to malaria and provide valuable single-cell eQTL and transcriptomic data from populations underrepresented in genomic studies.
Project description:Gene expression data from whole-blood collected from Kenyan children with Plasmodium falciparum malaria infection at acute hospital admission (n=15) and at convalescence (n=9). A clinical history design type is where the organisms clinical history of diagnosis, treatments, e.g. vaccinations, surgery etc. Disease State: with Plasmodium falciparum malaria infection at acute hospital admission and at convalescence
Project description:Gene expression data from whole-blood collected from healthy Vietnamese subjects (n=8) or from patients admitted to hospital with acute uncomplicated (n=9) or complicated (n=20) Plasmodium falciparum malaria infection. A clinical history design type is where the organisms clinical history of diagnosis, treatments, e.g. vaccinations, surgery etc. Disease State: patient with complicated or uncomplicated Plasmodium falciparum malaria infection or Healthy control clinical_history_design
Project description:Few genotype-phenotype associations identified by genome-wide association studies (GWAS) have been defined mechanistically, precluding thorough assessment of their impact on human health. We conducted an expression quantitative trait loci (eQTL) mapping analysis in human erythroblasts and found erythroid-specific eQTLs for ATP2B4, the main calcium ATPase of red blood cells (RBC). The same SNPs were previously associated with mean corpuscular hemoglobin concentration (MCHC) and susceptibility to severe malaria infection. We showed that Atp2b4-/- mice demonstrate increased MCHC, confirming ATP2B4 as the causal gene at this GWAS locus. Using CRISPR-Cas9, we fine-mapped the genetic signal to an erythroid-specific enhancer bound by GATA1 and TAL1. These results illustrate the importance to combine transcriptome, epigenome, and genome editing approaches in phenotype-relevant cells to characterize non-coding regulatory elements associated with human complex diseases and traits. Our studies suggest ATP2B4 as a potential target to modulate RBC hydration in erythroid disorders and malaria infection.