<i>In Vitro</i> Anti-Cancer Activities in Caco-2 and HCT-116 Cells of Recombinant Cystatin C Prepared by a <i>Pichia</i> Expression System
Bibliographic record
Abstract
Caco-2 and HCT-116 cells were used to access growth-inhibition and anti-invasion activity of recombinant cystatin C expressed in Pichia pastoris X33, G12W/H86V. The mutant G12W/H86V prepared by a pilot plant production system showed more than 10% growth inhibition of Caco-2 cells at 0.56-56 nM concentrations. Growth-inhibited cells had lower cathepsin L activity than the control cells that were not treated with the inhibitor. Conversely, the cathepsin B activity was not changed by treatment with G12W/H86V. The in vitro anti-invasion test using HCT-116 cells showed that G12W/H86V suppressed the cell invasion by 15%, while its wild-type cystatin, aspartic protease inhibitor pepstatin A, and matrix metalloproteinase (MMP) inhibitor MMP-2/MMP-9 inhibitor III did not suppress cell invasion. These results indicate that the recombinant cystatin C with higher protease inhibitory activity effectively retards the growth and invasiveness of human colon carcinoma cells.
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.
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 | 0.000 | 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 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".