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Additional file 1 of Dual enhancement in the radiosensitivity of prostate cancer through nanoparticles and chemotherapeutics

2023· article· en· W6939483604 on OpenAlexaff

Bibliographic record

VenueFigshare · 2023
Typearticle
Languageen
FieldMedicine
TopicRadiation Therapy and Dosimetry
Canadian institutionsUniversity of British ColumbiaUniversity of Victoria
Fundersnot available
KeywordsRadiosensitivityCell cycleCellCell cultureCell growthIntracellularCell divisionCell countingDNA damage

Abstract

fetched live from OpenAlex

Additional file 1: Figure S1. GNP characterization. (A) UV Visible spectra for GNP, GNP–PEG and GNP–PEG–RGD. (B) DLS measurements of GNP–PEG–RGD complex 2 months after functionalization with ligands. Water, PBS and DMEM cell culture media were used as solvents. (C) Summary of UV–Vis, DLS, and zeta potential data collected at each step of the functionalization process. Figure S2. Cell division and GNP distribution in cells treated with or without docetaxel. First column displays a cell attempting to undergo cell division. Microtubules are stained in green, and GNPs are stained in red. Scale bar = 20 µm. Figure S3. Hyperspectral images of cells 24 h post-treatment using a dark-field microscope. Cells were either left untreated (control) or treated with either GNP or GNP/DTX. Spectra are taken from GNP clusters or the cell body. Scale bar = 20 µm. Figure S4. Cell cycle analysis of PC-3 cells that were left untreated (control), or treated with DTX, 24 h and 72 h post-dosing. Figure S5. Comparison of cell proliferation for control (CTRL) cells (no treatment) vs GNP treated cells (GNP) in the absence of radiation. Figure S6. In vitro radiation assay results. (A) Confocal images of cells 24 h after being irradiated with a dose of 2 Gy. Nuclei are stained in blue, 53BP1 DNA damage repair protein are stained in green. (B) Quantification of DNA double-strand breaks in control cells (no DTX) or DTX treated cells, 24 h after a dose of 2 Gy was administered. (C) Comparison in the reduction of growth in control cells (no DTX) or cells treated with DTX that were irradiated at a dose of 5 Gy. Figure S7. Hyperspectral images of in vivo tumor tissue samples 24 h and 72 h after mice were treated with GNP or GNP/DTX. Spectra are taken from GNP clusters. Scale bar = 40 µm. Figure S8. Hyperspectral images of spleen, kidney, liver, and lung samples from mice treated with GNP/DTX. Scale bar = 40 µm. Figure S9. Qualitative comparison of GNP+PEG vs GNP+PEG/RGD accumulation in PC-3 cells. Scale bar = 20 µm. Figure S10. Measurements of mice tumor volume size post-treatment to display the reduction of growth of mice treated with RT, GNP/RT, DTX/RT, and GNP/DTX/RT. Results are presented as an average tumor volume of at least five mice (mean ± standard deviation). For each condition, data are displayed up until the first mice was sacrificed in their respective treatment group.

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)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.889
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8890.171

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 head0.041
GPT teacher head0.300
Teacher spread0.259 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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