Up-regulation of Hsp27 Plays a Role in the Resistance of Human Colon Carcinoma HT29 Cells to Photooxidative Stress¶
Bibliographic record
Abstract
The Photofrin-resistant cell line (HT29-P14) was used in the present study to investigate the mechanism(s) involved in Photofrin-mediated photodynamic therapy (PDT). We compared gene expression profiles between the resistant cell line and its parental cell line (HT29) using DNA microarray analysis. A significant up-regulation of small heat shock protein 27 (Hsp27) was found in HT29-P14 cells. The elevated Hsp27 level may play an important role in the resistance of HT29-P14 to Photofrin-PDT. To test this hypothesis, we stably transfected HT29 cells with human Hsp27 complementary DNA. The potential role of Hsp27 in the resistance to PDT was examined in Hsp27-overexpressing cells. Stable trasnfected cells (H13) showed an increased survival after Photofrin-PDT, suggesting that the up-regulation of Hsp27 is related to the induced resistance to Photofrin-PDT. Phosphorylation of Hsp27 has been suggested to play an important role in cytoprotection. We have examined the phosphorylation activity of Hsp27 among the parental and resistant cells, as well as the overexpression cells. An elevated level of Hsp27 resulted in an increased ability of phosphorylation in both resistant and overexpressing cells after PDT. The activation of the phosphorylation of Hsp27 induced by PDT was not mediated by the p38 mitogen-activated protein kinase. These data suggest that Hsp27 may play an important role in mediating the adaptive response to Photofrin-PDT-induced oxidative stress and that the pathways leading to Hsp27 phosphorylation may contribute to the resistance of the cells to photooxidative damage.
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".