Hypoxia-Induced Changes in the Fibroblast Secretome, Exosome, and Whole-Cell Proteome Using Cultured, Cardiac-Derived Cells Isolated from Neonatal Mice
Bibliographic record
Abstract
Cardiac fibroblasts (CFs) represent a major subpopulation of cells in the developing and adult heart. Cardiomyocyte (CM) and CF intercellular communication occurs through paracrine interactions and modulate myocyte development and stress response. Detailed proteomic analysis of the CF secretome in normal and stressed conditions may offer insights into the role of CF in heart development and disease. Primary neonatal mouse CFs were isolated and cultured for 24 h in 21% (normoxic) or 2% (hypoxic) O 2 . Conditioned medium was separated to obtain exosomes (EXO) and EXO-depleted secretome fractions. Multidimensional protein identification technology was performed on secreted fractions. Whole cell lysate data were also generated to provide subcellular context to the secretome. Proteomic analysis identified 6163 unique proteins in total. Statistical (QSpec) analysis identified 494 proteins differentially expressed between fractions and oxygen conditions. Gene Ontology enrichment analysis revealed hypoxic conditions selectively increase expression of proteins with extracellular matrix and signaling annotations. Finally, we subjected CM pretreated with CF secreted factors to hypoxia/reoxygenation. Viability assays suggested altered viability due to CF-derived factors. CF secretome proteomics revealed differential expression based on mode of secretion and oxygen levels in vitro.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".