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Record W86086534 · doi:10.1089/mab.2013.0058

Development of Monoclonal Antibodies to Interrogate Functional Domains and Isoforms of FREM1 Protein

2014· article· en· W86086534 on OpenAlexafffund
Xin Yuan, Lewis Ruxi Liu, Adriana Krawchenko, James Sainsbury, Lei Zhao, Frank Plummer, Xi Yang, Ma Luo

Bibliographic record

VenueMonoclonal Antibodies in Immunodiagnosis and Immunotherapy · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicOcular Disorders and Treatments
Canadian institutionsUniversity of ManitobaPublic Health Agency of Canada
FundersPublic Health Agency of Canada
KeywordsMonoclonal antibodyGene isoformBiologyAntibodyComputational biologyFocus (optics)VirologyImmunologyGeneticsGene

Abstract

fetched live from OpenAlex

FREM1 was first identified as an extracellular matrix protein that is essential for the formation of the epithelial basement membrane during embryonic development. Recent studies have shown that FREM1 also modulates innate immunity through its isoform 2 splice variant protein, known as Toll-like/interleukin-1 receptor regulator (TILRR). TILRR is a co-receptor that enhances pro-inflammatory IL-1R1 signal transduction. Our previous study identified the minor allele of a SNP, rs1552896, in the intronic region of FREM1 gene to be associated with natural resistance to HIV-1 infection in a subgroup of Kenyan sex workers in the Pumwani cohort. To study the role of FREM1 and its variants in differential susceptibility to HIV-1 infection, we generated a panel of 17 monoclonal antibodies against two recombinant proteins of FREM1, rspD and rspF. Epitope mapping using overlapping pin peptides showed that the monoclonal antibody (MAb) panel interrogated seven unique regions across five different domains, including the C-type lectin domain disulfide bond and the TILRR GAG serine attachment site. Utility of three selected FREM1 MAbs were demonstrated by FACS and immunohistochemical detection of FREM1 in 293F kidney embryonic cells, HeLa 229 cervical cells, and Sup-T1 cells. Thus, these monoclonal antibodies could be used to study the functional domains of FREM1 and its isoforms.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.239
Teacher spread0.230 · 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 teacher head, 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

Citations9
Published2014
Admission routes2
Has abstractyes

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