[Activation of multiple tumor suppressor genes by MBD1 siRNA in pancreatic cancer cell line BxPC-3].
Bibliographic record
Abstract
OBJECTIVE: To observe the effect of MBD1-siRNA on the expressions of multiple tumor suppressor genes in pancreatic cancer cells, and to explore the role of MBD1 in carcinogenesis of pancreatic carcinoma. METHODS: Two siRNA sequences targeting MBD1 were designed by software and cloned into the expression plasmid pGCsi-U6/Neo/GFP. DNA sequencing was used to confirm if the recombinant plasmid was constructed correctly. The constructed plasmid and the blank plasmid pGCsi-U6/Neo/GFP were stably transfected into human pancreatic cancer cells of the line BxPC-3. Nude mice underwent subcutaneous injection of the BxPC-3 cells transfected with the plasmid pGCsi-U6/Neo/GFP containing MBD1 or the blank plasmid pGCsi-U6/Neo/GFP to establish tumor models and were observed for 8 weeks. Mice without inoculation were used as controls. Eight weeks later the mice were killed with the tumors taken out. RT-PCR was used to detect the mRNA expression of MBD1 and the tumor suppressor genes related with DNA methylation, including CDH1, RASSF1A, TIMP3, P14ARF and Rb in transplanted tumors. RESULTS: MBD1-siRNA recombinant plasmids were constructed successfully and stably transfected into the BxPC-3 cells. MBD1 was not detected in the tumors of the MBD1-siRNA group and could be found in the other 2 groups. However, the mRNA expression levels of CDH1, RASSF1A, TIMP3, P14ARF, and Rb of the MBD1-siRNA group (179.7 +/- 8.1, 155.6 +/- 10.0, 256.7 +/- 15.7, 199.0 +/- 7.9, 210.1 +/- 9.4) were all significantly higher than those of the other 2 groups (21.0 +/- 6.8, 22.0 +/- 2.7, 99.4 +/- 10.3, 86.0 +/- 5.4, 15.0 +/- 4.9, 11.4 +/- 6.0, 15.3 +/- 1.9, 110.7 +/- 14.1, 74.3 +/- 4.8, 17.4 +/- 7.8, all P < 0.05). CONCLUSION: RNA interference decreases the expression of MBD1 in pancreatic cancer and up-regulate the transcription of tumor suppressor genes. MBD1 mediated transcriptional repression may play an important role in the development of pancreatic cancer.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".