Knockout of DROSHA Increases the Sensitivity of HCT116 Cells to Apoptosis in Response to Actinomycin-D Treatment
Bibliographic record
Abstract
MicroRNAs are short non-coding RNAs that function as sequence-directed posttranscriptional inhibitors of gene expression.The cellular response to ten drugs including actinomycin-D (ACT-D) was examined in a genetically modified HCT116 colon cancer cell line with a deletion in the gene encoding a critical miRNA processing enzyme called DROSHA.We found that the DROSHA-null subline was more susceptible than the parental cells expressing wild-type DROSHA to apoptosis induced by several drugs, most prominently ACT-D.This increase in susceptibility to apoptosis was characterized by increased DNA-fragmentation, increased caspase-3/7 activity, and loss of membrane integrity.The increased susceptibility to apoptosis was not associated with differences in DNA-synthesis, RNA-synthesis, protein-synthesis, metabolic activity, p53 response or the induction of replicative-senescence.Our results suggest that these cell lines are equally sensitive to the direct effects of ACT-D but these DROSHA-null cells are more sensitive to apoptosis induced by a subset of drugs exemplified by ACT-D.
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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 | 0.000 |
| 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".