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Record W2168438693 · doi:10.1093/protein/gzs100

Simultaneous assembly of two target proteins using split inteins for live cell imaging

2012· article· en· W2168438693 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

VenueProtein Engineering Design and Selection · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsInteinGreen fluorescent proteinProtein splicingProtein tagChemistryCell biologyLive cell imagingRNA splicingTarget proteinBiochemistryBiologyCellFusion proteinGeneRecombinant DNA

Abstract

fetched live from OpenAlex

Inteins are protein elements that covalently reassemble proteins from two precursor fragments in a process known as protein splicing. They are commonly used to reassemble a single target protein by protein splicing, but a second target protein can potentially reassemble by intein dimerization. Here, we use the naturally occurring split DnaE intein from Nostoc punctiforme (NpuDnaE) to demonstrate the simultaneous assembly of two target proteins in several examples studied with live cell imaging: yellow fluorescent protein (YFP) with monomeric red fluorescent protein (mRFP), dominant positive mutant of RhoA GTPase with YFP and GCaMP2 Ca(2+) indicator with mRFP. These examples showed the versatility of the strategy along with some interesting attributes: first, the two target proteins are in equal stoichiometry; second, the extent of protein splicing can be reported by a fluorescent protein. In particular, the split GCaMP2 with mRFP could find applications in tissue-specific Ca(2+) imaging in transgenic organisms, where mRFP could control for motion-related intensity changes.

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: none
Teacher disagreement score0.427
Threshold uncertainty score0.735

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 head0.011
GPT teacher head0.230
Teacher spread0.219 · 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