MALDI-MS Monitoring of Differential Biomolecule Secretion from Human Lung Cells in Vitro Following Incubation with <150 Particles
Bibliographic record
Abstract
Knowledge of how the chemical composition of a given ambient particle affects varied biological response upon inhalation is of considerable interest regarding the pathogenesis of respiratory and cardiovascular diseases. Characterization of initiating events, using measurements of proinflammatory mediator differential expression by lung tissues, is an objective of our studies. Results demonstrating the capability to monitor changes in the secreted proteome of a human lung cell line culture dosed with <150 particles, for incubation periods ranging from 30 min to 24 h using matrix assisted laser desorption ionization (MALDI) mass spectrometry, are presented. Each population of particles was created within an electrodynamic balance to have the same size and chemical composition prior to being deposited onto a culture of A549 cells. The carbon particles, and the lipopolysaccharide (52 pg/particle) containing carbon particles, were 6.3 microm in diameter. Numerous biomolecules are observable in the mass spectra of supernatants of lung cells. The relative abundance of many of these biomolecules changes as a function of particle type and incubation time, suggesting the ion signal intensities observed are indicative of the relative differential expression of these compounds, some of which could be proinflammatory mediators.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".