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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 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)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.004

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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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