Gastric cancer cell lines as models to study human digestive functions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The present investigation aims at defining the functional status of several gastric cancer cell lines in order to assess their usefulness as adequate cellular models to study the regulation of gastric digestive functions. Compared to AGS, Hs746t and KATO-III cells, NCI-N87 exhibited an unique differentiation status. They formed coherent monolayers expressing E-cadherin and ZO-1 junctional proteins; their integrity and epithelial morphology were maintained at post-confluency for up to 10 days. All cell lines synthesized PAS-reactive (mucous-type) glycoconjugates. However, only NCI-N87 cells expressed MUC6 glycoprotein suggesting a mucopeptic phenotype. Immunostaining, enzymatic assays, Western blotting and Reverse Transcriptase polymerase chain reaction (RT-PCR) revealed that all cell lines contained varying levels of pepsinogen (Pg5) and human gastric lipase (HGL). Only NCI-N87 cells were able to express zymogens at higher levels, in granule-like structures, and to efficiently secrete both HGL and Pg5. The addition of epidermal growth factor (EGF) to post-confluent NCI-N87 cells, which exhibit an abundant membrane staining for EGF-receptors, modulated HGL activity without affecting Pg5. In conclusion, this investigation enlightens the potential usefulness of the gastric cell line NCI-N87 as a model for elucidating the cellular and molecular mechanisms involved in the regulation of human gastric epithelial functions.
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.
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) | 0.001 | 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 it