Sec22b Is a Negative Regulator of Phagocytosis in Macrophages
Bibliographic record
Abstract
The endoplasmic reticulum (ER) is proposed to be a membrane donor for phagosome formation. In support of this, we have previously shown that the expression level of syntaxin 18, an ER-localized SNARE protein, correlates with phagocytosis activity. To obtain further insights into the involvement of the ER in phagocytosis we focused on Sec22b, another ER-localized SNARE protein that is also found on phagosomal membranes. In marked contrast to the effects of syntaxin 18, we report here that phagocytosis was nearly abolished in J774 macrophages stably expressing mVenus-tagged Sec22b, without affecting the cell surface expression of the Fc receptor or other membrane proteins related to phagocytosis. Conversely, the capacity of the parental J774 cells for phagocytosis was increased when endogenous Sec22b expression was suppressed. Domain analyses of Sec22b revealed that the R-SNARE motif, a selective domain for forming a SNARE complex with syntaxin18 and/or D12, was responsible for the inhibition of phagocytosis. These results strongly support the ER-mediated phagocytosis model and indicate that Sec22b is a negative regulator of phagocytosis in macrophages, most likely by regulating the level of free syntaxin 18 and/or D12 at the site of phagocytosis.
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 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".