Using Maldi-imaging to investigate region-specific proteome in IPF Lung
Bibliographic record
Abstract
RATIONALE: Previous studies have compared gene or protein expression from biopsies or random samples of IPF lung to normal or disease controls. Regional variation and typical progression of IPF provides a unique opportunity to investigate disease pathogenesis. HYPOTHESIS: Region-specific cues from the microenvironment are central to the pathogenesis of IPF. Our aim was to examine the feasibility of conducting a qualitative and quantitative analysis of extracellular matrix proteins in human lung tissue using peptide sequencing and Maldi-imaging. METHODS: Lung were air inflated to 20cm H20 pressure and snap frozen in liquid N2 fumes. Frozen slices were cut with a band saw and 2x2cm tissue cores prepared from 8 different regions. For Maldi imaging, sections (20 μm) were thaw mounted on indium tin oxide coated microscopic slides and coated with sinapinic acid. MS data were recorded on an Apex-Qe 12T hybrid quadrupole-FTICR mass spectrometer equipped with an Apollo dual-mode electrospray ionization Maldi ion source. Maldi imaging data were acquired with image pixel resolution of 200μm.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".