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Record W3180532026 · doi:10.1016/j.xpro.2021.100649

Protocol for nuclear export signal characterization of cGAS in mammalian cells

2021· article· en· W3180532026 on OpenAlexafffund
Yu Huang, Myles McLean, Chen Liang, Fei Guo

Bibliographic record

VenueSTAR Protocols · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health ResearchChinese Academy of Medical SciencesChinese Academy of Meteorological SciencesMinistry of Science and Technology of the People's Republic of ChinaNational Natural Science Foundation of China
KeywordsNuclear export signalCytoplasmCell biologyNuclear localization sequenceBiologySubcellular localizationMutagenesisCell fractionationVacciniaCell nucleusMolecular biologyBiochemistryMutationGeneRecombinant DNAEnzyme

Abstract

fetched live from OpenAlex

The cyclic GMP-AMP synthase (cGAS) is the principal DNA sensor, which binds DNA and triggers the type I interferon production. We used ISD45 or inactivated Vaccinia Virus (VACV) to stimulate cGAS and monitored cellular localization by immunofluorescence microscopy, Operetta high-content screening, and cytoplasmic/nuclear fractionation. LocNES server was used to predict cGAS nuclear export signal (NES) sequence and characterized the function by mutagenesis. This protocol provides a prototype of cGAS subcellular distribution or the identification of NES in other proteins. For complete details on the use and execution of this protocol, please refer to Sun et al. Sun et al. (2021).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.283
Threshold uncertainty score0.998

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)0.0030.000

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 head0.032
GPT teacher head0.313
Teacher spread0.281 · 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.

Study designBench or experimental
Domainnot available
GenreProtocol

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

Citations2
Published2021
Admission routes2
Has abstractyes

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