Single-Domain Antibody Functionalized CdSe/ZnS Quantum Dots for Cellular Imaging of Cancer Cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Photoluminescent (PL) semiconductor nanocrystals, when spherical in shape also termed as quantum dots (QDs), have attracted significant attention in biolabeling and bioimaging applications. Usually, such bio-oriented applications require targeting to the site of interest, and the use of antibodies is acknowledged as one common strategy for specific and compelling targeting. Conventional antibodies and some of their derivatives have been tested as targeting agents; to the best of our knowledge, the present study is the first with the use of single-domain antibodies (sdAbs) to overcome some disadvantages related to issues such as stability, aggregation, and production cost. Our sdAbs, which are small but fully functional recognition proteins and derived from camelid species, are superior to all of the above antibody choices. This manuscript addresses our efforts on the synthesis and targeting of bioconjugated PL QDs with a sdAb named EG2, which binds strongly to epidermal growth factor receptor (EGFR), a protein of which is widely known as a tumor marker. PEGylation was performed at the same time. The entity of our PEGylated-and-sdAb-conjugated QDs, presented as proof of principle, is robust in specific labeling of EGFR on in vitro grown SK-BR3 and MDA-MB468 human breast-cancer cells.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it