Mechanisms of immune evasion in P. falciparum malaria revealed by integrative gene expression profiling [RNA-seq]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE144476 | GEO | 2020/09/05
REPOSITORIES: GEO
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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
2020-09-05 | GSE144413 | GEO
Project description:Microarray studies using synchronized Plasmodium falciparum parasites have revealed a ‘continuous cascade’ of gene expression. Reports vary regarding the stability in these transcriptional patterns in the presence of external stressors. Using Plasmodium yoelii 17X parasites replicating in vivo, we have examined differential gene expression in parasites isolated from individual mice, from independent infections, during ascending and peak parasitemia and in the presence and absence of host antibody responses. Across experimental conditions, transcription was surprisingly stable. Differential gene expression was greatest when comparing differences due to parasite load and/or host cell availability; however, even these changes were modest. Of genes that were differentially expressed, many are of unknown function. There was little to no differential expression of members of the yir and pyst-a multigene families, although a relatively large number of these were expressed during blood-stage infection regardless of experimental condition. Taken together, these results indicate that 1) P. yoelii gene expression remains stable in the presence of a changing host environment and 2) concurrent expression of a large number of the yir and pyst-a genes may function to divert host immune responses away from invariant protective antigens. 1. P. yoelii 17X gene expression profiles were determined in blood-stage parasites isolated from infected Balb/c mice (male, 8-12 weeks old) as follows: a. Mouse 1 (M1), Mouse 2 (M2), Mouse 3 (M3), Donor (D) mouse – three mice simultaneously infected with P. yoelii 17X iRBCs from a single donor mouse. Parasite RNA was isolated early during infection when parasitemia was ascending as follows: M1 - day 11 at 13.0% parasitemia; M2 - day 10 at 11.1% parasitemia; M3 - day 10 at 18.6% parasitemia; D – day 11 at 18.7% parasitemia. b. Infection #1 (I1), infection #2 (I2), infection #3 (I3), infection #4 (I4) – four groups of mice infected on four separate occasions using P. yoelii 17X iRBCs obtained from four separate donor mice. In each case, P. yoelii 17X RNA was isolated from iRBCs obtained on days 10-11 of infection when parasitemia was ascending and was ~15%. c. Day 10 (D10), Day 14 (D14) – P. yoelii 17X RNA isolated from iRBCs during infection #2 on day 10 (14% parasitemia, 14.4% reticulocytes) and on day 14 of infection #2 (43.5% parasitemia, 57.9% reticulocytes). d. WT and JHD - P. yoelii 17X RNA isolated from iRBCs during infection #4 from immunologically intact, wild-type Balb/c mice and B cell deficient, JHD mice on a Balb/c background (ascending infection, 15% parasitemia). e. QA and RMP - P. yoelii 17X RNA isolated from iRBCs during infection #1 from mice previously immunized with a preparation of membrane proteins isolated from P. yoelii 17X infected reticulocytes (PyRMP) (day 12, 13.3% parasitemia and Quil A immunized (QA) control mice (day 10, 15.6% parasitemia) 2. On each array, gene expression in P. yoelii 17X blood-stage parasites was evaluated relative to a standard comparator of purified P. yoelii 17XL total RNA (pooled RNA from 45 mice, mean parasitemia ~35%). Each sample was analyzed on three replicate arrays, one of which was a standard dye-flip. One exception was the infection #3 sample which was analyzed on only on two arrays. On each array, oligonucleotides were spotted in duplicate. 3. Through the use of the standard reference RNA, the following 15 pairwise comparisons across samples were made: (M1 vs M2); (M2 vs M3); (M1 vs M3); (D vs M1); (D vs M2); (D vs M3); (I1 vs I2); (I1 vs I3); (I1 vs I4); (I2 vs I3); (I2 vs I4); (I3 vs I4); (D10 vs D14); (WT vs JHD); (QA vs RMP)
2011-11-01 | E-GEOD-31274 | biostudies-arrayexpress
Project description:We hypothesized that differential gene expression contributes to phenotypic variation of parasites which results in specific interaction of Plasmodium falciparum with its human host. In this study we used microarray hybridization to analyse the transcriptomes of P.falciparum isolated from asymptomatic carriers and from cerebral and uncomplicated malaria patients. We also investigated the transcriptomes of the 3D7 clone and the selected 3D7-Lib line.
2014-12-01 | E-MTAB-2139 | biostudies-arrayexpress
Project description:Co-infection with soil transmitted helminths (STH) and Plasmodium spp. parasites is a common occurrence in tropical developing countries, but the consequences of this interaction remain poorly understood. Here, we performed a multi-omic analysis on the peripheral blood and fecal samples of 130 individuals in Tierralta, Córdoba, Colombia who were infected with P. vivax alone (n = 33), co-infected with P. vivax and STH (n = 27), infected with STH alone (n = 39) or were infected with neither P. vivax nor STH (n = 31). In addition to Complete Blood Count (CBC) with differential, transcriptional profiling of peripheral blood samples was performed by RNA-Seq, fecal microbial communities were determined by 16S ribosomal RNA gene sequencing and circulating cytokine levels were measured by bead-based immunoassays. Differences in blood cell counts were driven primarily by P. vivax infection, including an increased percentage of neutrophils that was associated with a transcriptional signature of neutrophil activation in the blood. P. vivax infection was also associated with increased levels of IL-6, IL-8 and IL-10 and these cytokine levels were not affected by STH co-infection. Surprisingly, P. vivax infection was more strongly associated with changes in the microbiome than STH infection. Children infected with P. vivax exhibited elevated Bacteroides and reduced Prevotella and Clostridiaceae, but these differences were not observed in individuals co-infected with STH. We also observed that P. vivax parasitemia is higher in STH-infected population. When we used machine learning to identify the most important predictors of P. vivax parasite burden from all measured variables, bacterial taxa were the strongest predictors of parasitemia levels in P. vivax infected individuals. In contrast, circulating TGF- β was identified as the strongest predictor of T. trichiura egg burden. This study provides unexpected evidence that the gut microbiota may have a stronger link with P. vivax than with STH infection.
2020-09-29 | GSE144792 | GEO
Project description:Volunteers were assessed at study entry, the day of the third vaccination and 24, 72 hours, two weeks after vaccination, and 5 days after challenge. 13/39 vaccinees were protected and 26/39 were not protected. Eleven vaccinees exhibited delayed onset of parasitemia. All infectivity controls developed parasitemia. Prediction Analysis of Microarrays (PAM-R) identified genes corresponding with protection. Gene Set Enrichment Analysis (GSEA) identified sets of genes associated with protection after the third immunization, before challenge. After the third immunization, prior to challenge, differential expression of genes in the immunoproteasome pathway distinguished protected and non protected persons
2009-09-30 | GSE18323 | GEO
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).
2017-04-27 | E-MTAB-4629 | biostudies-arrayexpress
Project description:Elite controllers maintain HIV-1 viral loads below the limit of detection. The mechanisms responsible for this phenomenon are poorly understood. As microRNAs (miRNAs) are regulators of gene expression and some of them modulate HIV infection, we have studied the miRNA profile in plasma from HIV elite controllers and chronically infected individuals and compared against healthy donors. Several miRNAs correlate with CD4+ T cell count or with the known time of infection. No significant differences were observed between elite controllers and healthy donors; however, 16 miRNAs were different in the plasma of chronic infected versus healthy donors. In addition, levels of hsa-miR-29b-3p, hsa-miR-33a-5p and hsa-miR-146a-5p were higher in plasma from elite controllers than chronic infected and hsa-miR-29b-3p and hsa-miR-33a-5p overexpression significantly reduced the viral production in MT2 cells. Therefore, levels of circulating miRNAs might be of diagnostic and/or prognostic value for HIV infection. Additionally, hsa-miR-29b-3p and miR-33a-5p may be used in therapeutic strategies.
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Project description:To determine how blood transcriptomics are differentially regulated during symptomatic malaria versus asymptomatic parasitemia.
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Project description:Proctor2017 - Identifying microRNA for muscle regeneration during ageing (Mir1_in_muscle)
This model is described in the article:
Using computer simulation
models to investigate the most promising microRNAs to improve
muscle regeneration during ageing
Carole J. Proctor & Katarzyna
Goljanek-Whysall
Nature Scientific Reports
Abstract:
MicroRNAs (miRNAs) regulate gene expression through
interactions with target sites within mRNAs, leading to
enhanced degradation of the mRNA or inhibition of translation.
Skeletal muscle expresses many different miRNAs with important
roles in adulthood myogenesis (regeneration) and myofibre
hypertrophy and atrophy, processes associated with muscle
ageing. However, the large number of miRNAs and their targets
mean that a complex network of pathways exists, making it
difficult to predict the effect of selected miRNAs on
age-related muscle wasting. Computational modelling has the
potential to aid this process as it is possible to combine
models of individual miRNA:target interactions to form an
integrated network. As yet, no models of these interactions in
muscle exist. We created the first model of miRNA:target
interactions in myogenesis based on experimental evidence of
individual miRNAs which were next validated and used to make
testable predictions. Our model confirms that miRNAs regulate
key interactions during myogenesis and can act by promoting the
switch between quiescent/proliferating/differentiating
myoblasts and by maintaining the differentiation process. We
propose that a threshold level of miR-1 acts in the initial
switch to differentiation, with miR-181 keeping the switch on
and miR-378 maintaining the differentiation and miR-143
inhibiting myogenesis.
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MODEL1704110000.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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2017-09-26 | MODEL1704110000 | BioModels