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Purificación de GFP en reacciones cell-free para actividad docente // GFP purification from cell-free reactions for educational purpose v1

2024· preprint· es· W4404173967 on OpenAlexfundno aff
Severine Cazaux, Valentina Ferrando, Paola Larrauri, Quinn Matthews, Mohammad Simchi, S. Silva, Keith Pardee, Fernán Federici

Bibliographic record

Venuenot available
Typepreprint
Languagees
FieldHealth Professions
TopicHealth and Medical Education
Canadian institutionsnot available
FundersAgencia Nacional de Investigación y DesarrolloInternational Development Research Centre
KeywordsGreen fluorescent proteinChemistryMolecular biologyCell biologyBiologyBiochemistryGene

Abstract

fetched live from OpenAlex

Este protocolo describe una actividad educativa que tiene como fin explicar las bases de la purificación de proteína con materiales que pueden ser usados sin la infraestructura tradicional de un laboratorio. En pocas palabras, una proteína de interés (en este caso, 6xHis-sfGFP) se produce en extractos cell-free toda la noche. Al día siguiente, se purifica usando el kit NEBExpress Spin Columns y de acuerdo a las instrucciones del fabricante. Todas las etapas de centrifugación (unión, lavado y elución) se realizan usando una centrífuga de mano fabricada con impresión 3D. La actividad dura dos horas. This protocol describes an educational activity to explain the basics of protein purification with materials that can be used without traditional lab infrastructure. In few words, the protein of interest (in this case, 6xHis-sfGFP) is produced in cell-free lysates overnight. The day after, it is purified using NEBExpress Spin Columns and all the centrifugation steps (for binding, washing and elution) are performed using a 3D-printed hand-powered centrifuge. The activity lasts two hours.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.014

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 head0.059
GPT teacher head0.427
Teacher spread0.369 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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