Intermediate filaments modulation in an in vitro model of the hepatic stellate cell activation or conversion into the lipocyte phenotype
Bibliographic record
Abstract
Hepatic stellate cells are intralobular connective tissue cells expressing the myofibroblast or the lipocyte phenotypes. They participate in homeostasis of the liver extracellular matrix, repair, regeneration, and fibrosis under the former phenotype, and control the retinol metabolism, storage, and release under the latter one. They are heterogeneous in terms of their tissue distribution, function, and expression of cytoskeletal proteins. We have studied the expressions of intermediate filaments in the cloned GRX cell line representative of murine hepatic stellate cells, by immunolabeling, reverse transcription polymerase chain reaction (RT-PCR), immunoprecipitation and Western blots. GRX cells expressed vimentin, desmin, glial fibrillary acidic protein (GFAP), and smooth muscle alpha actin (SM-alphaA). Vimentin, desmin, and SMN-alphaA were expressed in all cultures. GFAP showed a heterogeneous intensity of expression and did not form a filamentous cytoskeletal network, showing a distinct punctuate cytoplasmic distribution. When activated by inflammatory mediators, GRX cells increased expression of desmin and GFAP. Retinol-mediated induction of the lipocyte phenotype elicited a strong decrease of intermediate filament protein expression and the collapse of the filamentous structure of the cytoskeleton. Quiescent hepatic stellate precursors can respond to physiologic or pathologic stimuli, expressing activated myofibroblast or lipocyte phenotypes with distinct patterns of cytoskeleton structure, metabolic function, and interaction with the tissue environment.
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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".