Characterization of the Spatiotemporal Localization of a Pan-Mucorales–Specific Antigen During Germination and Immunohistochemistry
Bibliographic record
Abstract
BACKGROUND: Mucormycosis is an aggressive invasive fungal infection caused by molds in the order Mucorales. Early diagnosis is key to improving patient prognosis, yet it relies on insensitive culture or nonspecific histopathology. A pan-Mucorales-specific monoclonal antibody (mAb), TG11, was recently developed. Here, we investigate the spatiotemporal localization of the antigen and specificity of the mAb for immunohistochemistry. METHODS: We used immunofluorescence microscopy to assess antigen localization in 11 Mucorales species of clinical importance and live imaging of Rhizopus arrhizus germination. Immunogold transmission electron microscopy revealed the subcellular location of mAb TG11 binding. Finally, we performed immunohistochemistry of R arrhizus in an ex vivo murine lung infection model alongside lung infection by Aspergillus fumigatus. RESULTS: Immunofluorescence revealed TG11 antigen production at the emerging hyphal tip and along the length of growing hyphae in all Mucorales except Saksenaea. Time-lapse imaging revealed early antigen exposure during spore germination and along the growing hypha. Immunogold transmission electron microscopy confirmed mAb TG11 binding to the hyphal cell wall only. The TG11 mAb stained Mucorales but not Aspergillus hyphae in infected murine lung tissue. CONCLUSIONS: TG11 detects early hyphal growth and has valuable potential for diagnosing mucormycosis by enhancing discriminatory detection of Mucorales in tissue.
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".