Data · dataset · 2026
<p>Affinity reference curves used for K<sub>D</sub> calculations from DropMap data.</p>
Listed in UCL Research Data Repository
Description
<p>Representation of DropMap slope vs KD data obtained using Biolayer Interferometry (Octet) of a series of anti-E protein monoclonal antibodies binding: <b>(A)</b> DENV1 sE and DENV1 sE-dimer, <b>(B)</b> DENV1 sE, DENV1 sE-dimer and DENV2 sE-dimer, <b>(C)</b> DENV2 sE and DENV2 sE-dimer, <b>(D)</b> DENV2 sE, DENV2 sE-dimer and DENV1 sE-dimer. <b>(A-D)</b> Power regressions and their formula are represented for each antigen relocation within a condition (i.e., if the antibody binds two or three different antigens, and from which dengue serotype).
Each dot represents the mean of the measures for one anti-sE-protein mAb performed in triplicate; SEM are represented.
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Note
The competition between cross-reactive mAbs binding 2 or 3 different E antigens was addressed by calibrating the assay under the same multiplex conditions used for patient-derived IgG-secreting cells (Figs 2–4 and S4–S8). Here, we generated separate KD–DropMap slope relationships for the relevant binding configurations, including droplets in which two or three antigens were relocated. These curves were established using monoclonal anti-DENV antibodies with independently determined KD values, measured with the same antigen combinations and assay geometry.</p> <p>(TIFF)</p>
Links
Where it is published
- DOI doi.org/10.1371/journal.ppat.1014552.s003 ↗
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
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UCL Research Data Repository | oai:figshare.com:article/34050087 | 10 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 |