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Record W59493982 · doi:10.1385/1-59259-958-3:161

Synthetic Lethal Screen

2005· article· en· W59493982 on OpenAlexafffund
Leslie Barbour, Wei Xiao

Bibliographic record

VenueHumana Press eBooks · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFungal and yeast genetics research
Canadian institutionsUniversity of Saskatchewan
FundersCanadian Institutes of Health Research
KeywordsPlasmidMutantBiologyMutagenesisGeneGeneticsMutationLethal alleleMolecular biology

Abstract

fetched live from OpenAlex

The synthetic lethal screen is a method of isolating novel mutants whose survival is dependent on a gene of interest. Combining the colony-color assay with a synthetic lethal screen offers a means to visually detect a mutant that depends on a plasmid for survival. Screening for synthetic lethals can be achieved in four steps. First, the gene of interest must be mutated in a strain harboring the ade2 ade3/ade8 mutations and producing white colonies. A plasmid containing the ADE3/ADE8 gene and the wild-type gene of interest must then be transformed into the strain, which results in red colonies with white sectors where the plasmid has been lost. A mutagenesis is then required to introduce random mutations into the yeast genome. Any cell with a mutation that causes dependence on the gene of interest for survival must maintain the plasmid; these cells will produce solid red colonies. Finally, the mutants are transformed with a library. The mutants containing complementing DNA are no longer dependent on the plasmid carrying the gene of interest and thus the synthetic lethals are identified by their red-white sectoring phenotype. The synthetic lethal gene can be identified by isolating and sequencing plasmid DNA.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.472

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 head0.043
GPT teacher head0.296
Teacher spread0.252 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations14
Published2005
Admission routes2
Has abstractyes

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