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Record W2001399958 · doi:10.1080/09553000902785791

Microscopic imaging of DNA repair foci in irradiated normal tissues

2009· review· en· W2001399958 on OpenAlexaff
Nirmal Bhogal, Farid Jalali, Robert G. Bristow

Bibliographic record

VenueInternational Journal of Radiation Biology · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsUniversity of TorontoOntario Institute for Cancer ResearchPrincess Margaret Cancer Centre
FundersNational Institute of Allergy and Infectious DiseasesNational Cancer Institute
KeywordsConfocal microscopyDNAMicroscopyConfocalDNA repairBiologyDNA damageCell biologyPathologyComputational biologyOpticsMedicineBiochemistryPhysics

Abstract

fetched live from OpenAlex

PURPOSE: It is now feasible to detect DNA double strand breaks (DSB) in tissues by measuring the induction and resolution of DNA repair foci, such as gamma-H2AX, using immunofluorescent microscopy and digital image analysis. This review will highlight principal tools and approaches to tissue microscopy and analysis. It will also discuss the practical considerations of using microscopy in vitro and in vivo in measuring intranuclear foci following irradiation. CONCLUSIONS: Computer-based image analysis algorithms allow an objective and quantitative analysis of foci and protein-protein interactions using 3D confocal images. Finally, we review the literature in which DNA repair foci have been investigated as a biodosimeter or a biomarker of DNA repair in normal tissues.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.332
Teacher spread0.319 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations57
Published2009
Admission routes1
Has abstractyes

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