Studies on Cisplatin and Etoposide Treated Liver Protein Extract Under SDS-PAGE Gel Separation
Bibliographic record
Abstract
Cytotoxic agents has been widely used for the treatment various human malignancies. Cisplatin and etoposide are chemotheraupeutic agents which are used for treatment of metastatic cancers, solid tumors and neoplasm. The drug is known to exert its toxic effect on hepatic and renal tissue by altering its antioxidant response of these organs. In the present study both the drugs Cisplatin and etoposide were analyzed for its effects on hepatic protein status. Cisplatin has shown to cause consequential alterations in protein levels as compared to etoposide treated hepatic tissue. The protein with molecular weight 44.46, 13.8, 51.2 kd was downregulated and other ranging from 16.98-38.9 kd did not show any expression as compared to controls. In addition etoposide studies revealed overexpression in protein level ranging from molecular weight 14.45-33.11 kd which might suggest significant role in organ protection. Some of protein bands ranging from 25.12 to 51.29 kd showed similar pattern of expression compared to controls. Present studies might provide us clues of important role of these protein in combating free radical induced oxidative stress on the tissue.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".