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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 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)0.002
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: Protocol · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0490.049

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 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
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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