Bibliographic record
Abstract
This thesis investigated the roles of the Molecule Interacting with CasL (MICAL) family in triple-negative breast cancer cells. MDA MB 231 cells’ migratory, proliferative, morphological and survival properties were examined. Scratch wound assay showed that MICAL KOs by CRISPR-Cas9 didn’t close the wounds efficiently compared to non-targeting control (NTC) cells, and single cell tracking revealed that NTC had more rapid random migration. The change in cells’ migratory abilities accompanied alterations in morphology, indicating changes in actin cytoskeleton. Additionally, MICAL1, -2, and -3 KOs also had reduced cytokinesis completion rate. Although serum starvation experiments revealed reduced cell proliferation in MICAL1 KOs, MICAL2 and MICAL3 KOs showed few differences, except that MICAL3 KOs achieved greater cell proliferation in zero serum compared to NTC. Lastly, MICAL1, -2, and -3 KOs behaved differently in hypoxic conditions, sometimes in opposition. The MICALs family is crucial in MDA MB 231’s migration, cell shape, cytokinesis, and proliferation.
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".