Data · dataset · 2026
<p>IgG- and IgM-mediated responses to <i>P. falciparum</i> trophozoites and stage I gametocytes across HBB genotypes.</p>
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Description
<p>Data from <i>P. falciparum</i> infected (<i>n</i> = 44) and non-infected (<i>n</i> = 17) plasma samples collected at the Clinical Research Unit (CRUN) in Nanoro, Burkina Faso (total <i>n</i> = 61). <b>(A)</b> Percentage of IgG-positive iRBCs: total (left), asexual (middle) and sexual (right) iRBCs. <b>(B)</b> Percentage IgM-positive iRBCs: total (left), asexual (middle) and sexual (right) iRBCs. Positive controls (“<i>Pf</i>-infected non-endemic” <i>i.e.,</i> three acute <i>Pf-</i>infected non-endemic plasma samples from a traveler at D0, D21, and D23) and a negative control, i.e.<i>,</i> “Naïve non-endemic”: non-endemic plasma from a volunteer with HbAA genotype) are shown as individual dots per sample.
The Y-axis range differs between graphs for visualization. No significant differences were found (beta-binomial GLM with Bonferroni adjustment for pairwise comparisons, <i>p</i> > 0.05). Abbreviations: asexual iRBCs, trophozoites; D, day(s); GLM, Generalized linear models; Hb, hemoglobin; HBB, human hemoglobin beta; IgG and IgM, Immunoglobulin G and M; iRBCs, infected-red blood cells; <i>Pf, P. falciparum</i>; sexual iRBCs, stage I gametocytes; total iRBCs, trophozoites and stage I gametocytes.</p>
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Where it is published
- DOI doi.org/10.1371/journal.ppat.1014542.g004 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34027142 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:320211 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:group:3102 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3105 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Genetics'] |
| concepts[field].anzsrc:group:3107 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].anzsrc:group:3204 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Immunology'] |
| concepts[field].local:field:chemistry | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |