Factor XIII-A Transglutaminase Contributes to Neutrophil Extracellular Trap (NET)-mediated Fibrin(ogen) Network Formation and Crosslinking
Bibliographic record
Abstract
Abstract Neutrophil extracellular traps can contribute to thrombosis via stabilization of fibrin network, which is normally conducted by plasma transglutaminase, Factor XIII-A as part of coagulation cascade. The possible presence and activity of FXIII-A in neutrophils or during NETosis are unknown. Here, we investigated potential presence of FXIII-A in neutrophils and participation in NET-fibrin(ogen) interaction in vitro. Data mining of human and mouse F13A1/F13a1 mRNA expression in whole-body scRNA sequence atlases was conducted. F13a1 mRNA and protein expression was assessed in isolated mouse bone marrow neutrophils. NETosis was induced using 12-phorbol 13-myristate acetate (PMA), and the transglutaminase activity was assessed with 5-(biotinamido)pentylamine incorporation to plasma fibronectin and a fluorescence-fibrin(ogen)-based activity assay using ATTO488-Cadaverine. Externalization of FXIII-A and its interaction with neutrophil extracellular trap (NET) markers, namely, decondensed DNA, CitH3, and MPO, were examined with immunofluorescence microscopy. NET–fibrin(ogen) interaction was investigated with and without serum and/or transglutaminase inhibitor, NC9. Effect of soluble fibrinogen and fibrin(ogen) network on NETosis was also assessed. Data mining of RNAseq atlases showed F13A1/F13a1 expression in adipose tissue, blood, and bone marrow neutrophils. mRNA expression and protein production were confirmed in isolated neutrophils where expression was comparable to that of macrophages and monocytes. FXIII-A was externalized and active as a transglutaminase and colocalized with NET markers during NETosis. FXIII-A transglutaminase activity promoted NET–fibrin(ogen) interaction and entrapment of neutrophils within fibrin(ogen) matrix. Soluble fibrinogen or fibrin(ogen) network did not induce NETosis. This study identifies neutrophils as a source of FXIII-A and suggests its role in stabilizing NET–fibrin(ogen) matrix structures.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".