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Record W3117116307

Development of a Cell-Free Synthetic Biology Platform

2018· article· en· W3117116307 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.

Bibliographic record

VenueURSCA Proceedings · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsCell-free protein synthesisSynthetic biologyBiochemistryBiologyCell-free systemSodium dodecyl sulfateChemistryProtein biosynthesisCell biologyComputational biologyEnzyme
DOInot available

Abstract

fetched live from OpenAlex

Cell-free systems allow for a reliable and consistent expression of recombinant proteins outside of a living cell, bypassing issues with genetic regulation and cellular noise (Hodgman and Jewett, 2012). Such systems are advantageous over cell-based synthetic biology due to the capability of tolerating toxins normally detrimental to the cell, increased freedom of design, reduced risk for biocontamination, and a rapid design-build-test cycle. Emerging as a new platform for synthetic biology, cell-free systems have shown potential for use in a variety of applications, including biofuel production, biomanufacturing, health and medicine. However, current cell-free systems are inaccessible due to their high cost or incredibly laborious lab work required to reproduce them. The goal of this work is to develop a completely customizable and accessible cell-free system composed of 38 proteins required for transcription and translation. Each protein is designed with a hexa-histidine tag on the N or C terminus to allow for easy nickel-sepharose purification. Protein overexpression and purification is verified using sodium dodecyl sulfate polyacrylamide electrophoresis (SDS- PAGE), and all 38 proteins are reconstituted to form a function cell-free system. 8 proteins have currently been successfully overexpressed and confirmed by SDS-PAGE. To simplify the process, multiple proteins are purified at once by combining cell pellets from multiple overexpressions and purifying them on a single nickel-sepharose column. The concentrations of purified proteins will be determined using mass spectroscopy. Preliminary results include successful multi-protein purification of four proteins (Release Factor 3, Histidine Synthetase, Tryptophan Synthetase and Ribosome Recycling Factor) on a single nickel-sepharose column, subsequently verified by SDS-PAGE. Future goals for this work include complete overexpression and purification of all 38 proteins, followed by functional validation. Ultimately, this work will provide a safe and customizable cell-free system for protein production. REFERENCE Hodgman, C.E. and M.C. Jewett, Cell-Free Synthetic Biology: Thinking Outside the Cell. Metabolic Engineering, 2012. 14(3): p. 261-269.

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 score0.150
Threshold uncertainty score0.316

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 head0.014
GPT teacher head0.244
Teacher spread0.229 · 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