Monoclonal antibody 2C5-mediated binding of liposomes to brain tumor cells <i>in vitro</i> and in subcutaneous tumor model <i>in vivo</i>
Bibliographic record
Abstract
This study aimed to investigate the monoclonal antibody (mAb) 2C5 with nucleosome-restricted specificity for its ability to specifically recognize human brain tumor cells and to serve as a specific ligand for liposome targeting to brain tumor cells in vitro and in vivo. The affinity of mAb 2C5 towards brain tumor cells was tested by flow cytometry. The interaction of 2C5-immunoliposomes (ILS) with brain tumor cells in vitro was studied by fluorescence microscopy. For in vivo accumulation studies, (111)In-ILS were administered i.v. into mice bearing subcutaneously grown brain tumor. mAb 2C5 was found to be reactive against several tested brain tumor cell lines. mAb 2C5 and 2C5-ILS demonstrated enhanced cell-surface binding with CCF-STTG1,U-87 MG and LN-18 cells in vitro. 2C5-ILS displayed significantly better accumulation in the subcutaneously grown brain tumor than non-specific control IgG-ILS. mAb 2C5 specifically recognizes brain tumor cells and can serve as a ligand to target drug carriers such as liposomes to brain tumor cells in vivo.
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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".