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Record W2783689644 · doi:10.1021/acssynbio.7b00415

Genetically Encoded Circuit for Remote Regulation of Cell Migration by Magnetic Fields

2018· article· en· W2783689644 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Synthetic Biology · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Cancer Society Research Institute
KeywordsCell migrationRHOACell biologyMagnetic fieldSynthetic biologyElectroporationCellBiologyBiophysicsChemistrySignal transductionPhysicsBioinformaticsGeneBiochemistry

Abstract

fetched live from OpenAlex

Magnetoreception can be generally defined as the ability to transduce the effects of a magnetic field into a cellular response. Magnetic stimulation at the cellular level is particularly attractive due to its ability for deep penetration and minimal invasiveness, allowing remote regulation of engineered biological processes. Previously, a magnetic-responsive genetic circuit was engineered using the transient receptor potential vanilloid 1 (TRPV1) and the iron containing ferritin protein ( i.e., the TF circuit). In this study, we combined the TF circuit with a Ca 2+ activated RhoA protein (CaRQ) to allow a magnetic field to remotely regulate cell migration. Cells expressing the TF circuit and CaRQ exhibited consistent dynamic protrusions, leading to migration along a porous membrane, directed spreading in response to a magnetic field gradient, as well as wound healing. This work offers a compelling interface for programmable electrical devices to control the migration of living systems for potential applications in cell-based therapy.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.365

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 head0.026
GPT teacher head0.253
Teacher spread0.227 · 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