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Record W2792134389 · doi:10.1039/c7ib00203c

A monoclonal antibody acts as a migratory cue<i>via</i>Ca2+ re-wiring

2018· article· en· W2792134389 on OpenAlexafffund
Abdullah Al Mosabbir, Anam Qudrat, Kevin Truong

Bibliographic record

VenueIntegrative Biology · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Cancer Society Research Institute
KeywordsMonoclonal antibodyAntibodyChemistryCell biologyBiologyImmunology

Abstract

fetched live from OpenAlex

As monoclonal antibodies have two epitopes for their target ligand, they should theoretically dimerize target receptors upon binding. In particular, the dimerization of the vascular endothelial growth factor (VEGF) receptor 2 (VEGFR2) stimulates early events occurring within minutes (e.g. Ca2+ signal generation) and late events occurring over hours and days (e.g. cell migration in angiogenesis). Although studies have noted that antibodies targeting VEGFR2 (anti-VEGFR2) inhibited cell migration in angiogenesis, we show in this paper that an anti-VEGFR2 stimulus nevertheless triggered a Ca2+ signal in VEGFR2 expressing cells. This Ca2+ signal was then re-wired to promote cell migration by co-expressing an engineered Ca2+ activated RhoA (called CaRQ), thereby engineering the opposite anticipated effect of an anti-VEGFR2 antibody. In these cells, the anti-VEGFR2 antibody stimulus induced cellular blebbing, migration across a membrane, and in vitro scratch wound healing. This work expands the utility of monoclonal antibodies to induce tailored responses in engineered cells such as changes in cell fluorescence via Ca2+ reporters or migration patterns via CaRQ.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.046
GPT teacher head0.382
Teacher spread0.335 · 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.

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

Citations2
Published2018
Admission routes2
Has abstractyes

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