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Record W2767150810 · doi:10.21769/bioprotoc.2584

NP-40 Fractionation and Nucleic Acid Extraction in Mammalian Cells

2017· article· en· W2767150810 on OpenAlexaff
Alvaro E. Galvis, Hugh E. Fisher, David Camerini

Bibliographic record

VenueBIO-PROTOCOL · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsInstitute of Cancer Research
FundersCenter for Virus Research, University of California, IrvineChao Family Comprehensive Cancer CenterCancer Research Institute
KeywordsFractionationCell fractionationNucleic acidCompartment (ship)CytoplasmExtraction (chemistry)ChemistryCellChemical fractionationBiochemistryChromatographyMembrane

Abstract

fetched live from OpenAlex

This technique allows for efficient, highly purified cytoplasmic and nuclear-associated compartment fractionation utilizing NP-40 detergent in mammalian cells. The nuclear membrane is not disturbed during the fractionation thus leaving all nuclear and perinuclear associated components in the nuclear fraction. This protocol has been modified from Sambrook and Russell (2001) in order to downscale the amount of cells needed. To determine the efficiency of fractionation, we recommend using qPCR to compare the subcellular compartments that have been purified with equivalent amount of control whole cell extracts.

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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
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)0.0060.014

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 head0.029
GPT teacher head0.370
Teacher spread0.341 · 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".

Quick stats

Citations5
Published2017
Admission routes1
Has abstractyes

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