Data · dataset · 2026
<p>Dengue infected patients display IgG-SC of higher affinity for DENV1 sE-dimers than DENV2 sE dimers irrespective of the infecting serotype.</p>
Listed in UCL Research Data Repository
<p><b>(A-B)</b> DropMap-measured affinity (K<sub>D</sub>) of IgG-SC from <b>(A)</b> subclinical or <b>(B)</b> hospitalized patients infected with DENV1.
Description
(C-D) DropMap-measured affinity (K<sub>D</sub>) of IgG-SC from <b>(C)</b> subclinical or <b>(D)</b> hospitalized patients infected with DENV2. <b>(A-D)</b> Data are divided by categories of IgG-SC that bind one sE-dimer or both sE-dimers, as indicated in the legend below the graphs.
Horizontal bars indicate median and interquartile range. Each dot represents the K<sub>D</sub> value of one IgG-SC recognizing at least one sE-dimer. <i>p</i> values were calculated using two-by-two contrast comparisons after linear modelling. ns, not significant; *, p ≤ 0.05; ****, p ≤ 0.0001. The dotted line indicates the 30nM affinity limit that discriminates E protein binders from non-binders.
Read the rest (1 more)
N.B.: non-binding.</p>
Links
Where it is published
- DOI doi.org/10.1371/journal.ppat.1014552.g003 ↗
DOI / persistent id · from rdr ucl ac uk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from rdr ucl ac uk
Topics
Related
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UCL Research Data Repository | oai:figshare.com:article/34050120 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[disease].local:disease:cancer | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Cancer'] |
| concepts[field].anzsrc:field:310706 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Virology'] |
| concepts[field].anzsrc:field:320211 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:group:3102 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3107 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].anzsrc:group:3204 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Immunology'] |
| concepts[field].local:field:chemistry | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| description | source · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| title | source · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | /metadata/dc/title |