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Record W4252005759 · doi:10.1121/1.4800924

An analysis of the acoustic properties of the cell cycle and apoptosis in MCF-7 cells

2013· article· en· W4252005759 on OpenAlexaff
Maurice Pasternak, Eric M. Strohm, Michael C. Kolios

Bibliographic record

VenueProceedings of meetings on acoustics · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicUnderwater Acoustics Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMaterials scienceMetaphaseAcoustic impedancePropidium iodideCell cycleInterphaseApoptosisAttenuationElectrical impedanceChemistryBiologyCell biologyProgrammed cell deathOpticsPhysics

Abstract

fetched live from OpenAlex

Through the use of high frequency acoustic microscopy, the acoustic properties of cells through various stages of interphase (G1/G2), mitosis (metaphase, M-phase) and early apoptosis were ascertained. The cell thickness, sound velocity, acoustic impedance, density, bulk modulus, and attenuation were determined through a quantitative analysis of the pulse echoes from the cell membrane and substrate using a 375 MHz transducer. Hoechst 33342, Annexin-V, propidium iodide and FITC-448 Anti-cyclin B1 and D1 mouse antibodies were used to identify cell cycle stage. ANOVA and Tukey post hoc statistical tests were used to quantify differences between cell stages. A total of 232 cells, 58 within each category, were measured. A statistically significant increase in thickness (9.4 to 11.4 µm), and decrease in attenuation (1.20 to 1.05 dB/cm/MHz) was observed between G1 and G2 cells, respectively. A statistically significant increase in thickness, and decrease in acoustic impedance, density, bulk modulus and attenuation was observed between M-phase and G1 or G2. Significant differences in nearly all properties were observed as the cells progressed to early stage apoptosis from a non-apoptotic state. The differences found indicate considerable structural and/or organizational alterations occurring as the cell progresses thorough these phases.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.207
Teacher spread0.195 · 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 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

Citations2
Published2013
Admission routes1
Has abstractyes

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