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Record W850724821

Effets des radiations gamma et des électrons de basse énergie sur la fonctionnalité de l'ADN

2014· article· fr· W850724821 on OpenAlexfundno aff
Saloua Kouass Sahbani

Bibliographic record

VenueKnowledge UdeS (Institutional Deposit of the University of Sherbrooke) · 2014
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIonizing radiationCisplatinGenome instabilityChemistryDNA damageDNAIrradiationMolecular biologyRadiochemistryBiophysicsCancer researchBiologyPhysicsBiochemistryGeneticsChemotherapy
DOInot available

Abstract

fetched live from OpenAlex

EFFECT OF GAMMA RADIATION AND LOW ENERGY ELECTRON ON THE DNA FUNCTIONALITY By Saloua Sahbani Program of Radiation Sciences and Biomedical Imaging Thesis submitted to the Faculty of Medicine and Health Sciences for the degree of Doctorate of Philosophy (PhD) in Radiation Sciences and Biomedical Imaging, Faculty of Medicine and Health Sciences, Universite de Sherbrooke, Sherbrooke, Quebec, Canada It is generally accepted that DNA double-strand breaks (DSB) are among the most toxic lesions induced by ionizing radiation (IR). Unrepaired or misrepaired DSB can lead to genomic instability and cell death. It is known that concomitant chemoradiation therapy is one of the most preferred methods for the treatment of certain cancers especially in advanced stage. The yield of DSBs was increased when DNA was irradiated with low energy electron (LEEs). The aims of our study was to reassess the contribution of DSBs and other lesions induced by indirect and direct effect of IR in cell lethality. The effect of IR on the DNA functionality of the plasmid modified covalently with cisplatin was studied by measuring the transformation efficiency of the plasmid in E. coli. Cisplatin-DNA complexes were prepared such that there was an average of two cisplatin adducts per plasmid as measured by ICP-MS. Aqueous solutions of the samples were irradiated with 137 Cs -rays at various doses. Gel electrophoresis analysis shows that cisplatin enhances, by a factor of 2.6, the formation of DSB by -rays relative to those in unmodified DNA. Despite this increase, the yield of DSBs is very low and cannot explain the loss of functionality observed after transformation with plasmids modified with cisplatin. While locally multiple damaged sites (LMDS) revealed by repair enzymes Fpg (Formamidopyrimidine [fapy]-DNA glycosylase) and Nth (Endonuclease III) as DSB (nonDSB cluster damage), where their yield was increased by a factor of 2.1 when DNA was irradiated in the presence of cisplatin were able to explain the observed loss of DNA functionality. These results suggest that cisplatin may act not only as a chemotherapeutic agent, but also as an effective radiosensitizer by addition of other DNA lesions. For the first time, we could also evaluate the effect of low energy electrons (LEEs) on DNA functionality. Highly ordered DNA films were prepared on pyrolytic graphite by molecular self-assembly using 1,3-diaminopropane ions (Dap 2+ ) to bind together the plasmids and irradiated with LEE (10 eV). We concluded that in addition to CSBs, DSBs and base damage, LEEs induced the formation of non-DSB cluster damage and also induced the loss of DNA functionality under LEE irradiation. The yields of DSBs and of non-DSB cluster damage are too low and so one unable to explain the loss of DNA functionality. It seems that LEEs are able to induce a high complex damage that cannot be revealed by repair enzymes Fpg and Nth. The high complex damage is difficult to repair possibly because the repair of one lesion, may inhibit the repair of another.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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)0.0040.000

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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