Identification of transcription factor Sp-1 up-regulating the expression of CD59 in prostate cancer.
Bibliographic record
Abstract
Objective: To construct recombinant vectors expressing siRNA that target Sp1 gene and a stable-inhibit cell line PC-3 in order to analyze the role of Sp1 in the expression of CD59. Methods: The 63 bp encoded targeting Sp1 gene shRNA sequence was cloned and transferred into pSUPER vector by DNA recombinant technique. The prostate cancer cell PC-3 was transfect with this recombinant plasmid by liposome and the stable strains was selected by G418 medium. Sp1 and CD59 protein was detected by Western blotting, and its function was detected by dye release assay. Results: The pSUPER-siRNA expressing vector was successfully constructed, and a stable cell line PC-3 was selected and detected the expression of GFP. The siRNA vector effectively inhibited the CD59 gene expression from protein in level. MTT assay and Dye release assay suggested that CD59's protection to complement mediated cytolysis decreased. Conclusion: The siRNA vector targeting Sp1 gene could consistently inhibit CD59 expression. Furthermore, it decreased CD59's protection against complement. These results may pave the way for studying the role of Sp1 in the expression of CD59.
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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) | 0.001 | 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".