A Potential Mercury Polymer Mass Tag Probe for Mass Cytometry
Bibliographic record
Abstract
A novel mercury(II) polymer with pendant dipicolylamine (DPA) chelators carrying Hg 2+ ions was prepared as a potential mass tag for mass cytometry (MC) applications. The polymer itself, with DP ≈ 22 had a mixture of PEG 24 (provides stealth) and PEG 23 -azide groups attached to the pendant groups, with ca. 3 azide groups per polymer for antibody conjugation. The initial Hg–DPA complex had 2 Cl atoms attached to each Hg 2+ ion (Cl 2 –Hg–DPA). An approach to replace the two Hg–Cl bonds via ligand exchange reactions by treating the Hg–DPA polymer with monothiol ligands (glutathione, cysteine, and thioglycolic acid) led to a loss of Hg, while Hg polymers treated with dithiol ligands (2,3-dimercapto-1-propanol and 2,3-dimercapto-1-propanesulfonic acid sodium salt monohydrate) led to polymers 2d and 2f, respectively, in which both polymers largely retained their Hg content. These polymers showed relatively low levels of nonspecific binding to suspensions of peripheral blood mononuclear cells (PBMCs). Both polymers were conjugated to anti-CD8a via strain-promoted azide−alkyne coupling, and the conjugates were employed in a 10-plex assay of PBMCs along with Maxpar reagents. Polymer 2d-CD8a showed excellent specificity to target CD8a antigens, even at a low titer of 0.56 μg/mL, and the ability to differentiate CD8a T cells from other components of the PBMC sample. In contrast, polymer 2f-CD8a gave no Hg signal suggesting loss of Hg from the polymer during Ab conjugation or PBMC staining steps. Polymer 2d represents an important step forward in the development of Hg mass tags for MC.
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) | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".