Keratin 23 (K23), a novel acidic keratin, is highly induced by histone deacetylase inhibitors during differentiation of pancreatic cancer cells
Bibliographic record
Abstract
Sodium butyrate (NaBu) was shown to induce differentiation and apoptosis in the human pancreatic cancer cell line AsPC-1. A suppression subtractive hybridization-based technique was used to identify genes induced by NaBu. A novel cDNA was found to be highly up-regulated in AsPC-1 cells in response to NaBu. The gene expresses a 1.65-kb mRNA encoding a protein with an open reading frame of 422 amino acids. It has an intermediate filament signature sequence and extensive homology to type I keratins. Sequence comparison with known keratins indicated that the gene shares 42-46% amino acid identity and 60-65% similarity within the alpha-helical rod domain. The gene is named K23 (for human type I Keratin 23, KRT23). K23 mRNA was highly induced by NaBu in different pancreatic cancer cells. Trichostatin A (TSA), a potent and specific inhibitor of histone deacetylase, similarly induced K23 mRNA expression. Treatment with either actinomycin D or cycloheximide efficiently blocked the induction of K23 mRNA by NaBu/TSA. These results indicate that K23 mRNA induction by NaBu or TSA is a downstream event of histone hyperacetylation. We also demonstrated that expression of p21(WAF1/CIP1) antisense RNA efficiently blocked the induction of K23 mRNA induced by NaBu. Our results suggest that K23 is a novel member of the acidic keratin family that is induced in pancreatic cancer cells undergoing differentiation by a mechanism involving histone hyperacetylation. p21(WAF1/CIP1) serves as an important mediator during the induction process of K23 by NaBu.
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".