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Record W2793053724

Cloning and characterization of novel IgA antibody variable heavy and light chains from HIV-1 resistant sex workers from Nairobi, Kenya

2011· dissertation· en· W2793053724 on OpenAlexaff
Caitlin Sarna

Bibliographic record

VenueMspace (University of Manitoba) · 2011
Typedissertation
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCloning (programming)Immunoglobulin light chainAntibodyHuman immunodeficiency virus (HIV)VirologyGeneticsBiologyImmunologyEnvironmental healthMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

Heterosexual intercourse now accounts for the majority of HIV transmission within sub-Saharan Africa. The generation of microbicides and vaccines, therefore, requires a better understanding of the mucosal correlates of protection, including the role of HIV-specific IgA. It is now accepted that not all individuals are equally susceptible to HIV-1 infection, as exemplified by the HIV Exposed Seronegative (HESN) women of the Pumwani Cohort in Nairobi, Kenya. To assess whether mucosal IgA responses contribute to this protection, 3 novel IgA variable genes were cloned from HESN cervical B-cell cDNA. Nine monoclonal IgA Abs were produced, two of which were properly produced from cell culture. The HESN-derived A6/30L and A9/30L variants had a greater specificity for gp120IIIB than their A6/4L and A9/4L counterparts, while the A6 variant recognizes a distinct gp120 epitope compared to the broadly neutralizing antibody IgGb12. Further characterization of these IgA chains may suggest their suitability for use in microbicides or mucosal vaccines.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.207
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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