Establishment and Characterization of a Lactating Caprine Mammary Gland Luminal Epithelial Cell Line
Bibliographic record
Abstract
Mammary gland is a defining characteristic of mammalian species which produces nutritious milk and plays a major role in the development of newborns. The gland contains a series of ducts and crevices leading back to alveoli, which contain milk producing cells called luminal epithelial cells. These cells, if cultured in-vitro, can be utilized to explore the metabolic processes occurring during milk production. The knowledge thus gained can be used to manipulate the system to enhance milk production and/or modify its composition. The main objective of this study was to establish a luminal epithelial cell-line from a lactating goat. Explant culture technique was used to produce primary cells from the mammary tissue of a 4-year-old lactating Saanen goat. The outgrowing cells were purified by selective trypsinization to remove fibroblast cells in 3-4 serial passages. The purified cell cultures exhibited cobblestone morphology, typical of the mammary epithelial cells, formed clear islands when plated in low density, and exhibited dome-shaped structures, if cultured for extended time. The cells stained positive with anti-human cytokeratin 18 antibodies, confirming their epithelial nature. Cell cultures also stained positive with rabbit anti-bovine β-lactoglobulin antibodies, indicating milk production in these cells. The cell-line has potential as an in-vitro cell model to understand signaling during milk synthesis, mammary gland development, and testing DNA constructs for therapeutic protein secretion in milk, prior to production of transgenic goats.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".