Identification of CD109 as part of the TGF‐β receptor system in human keratinocytes
Bibliographic record
Abstract
We have previously reported that keratinocytes defective in glycosylphosphatidylinositol (GPI)-anchor biosynthesis display enhanced TGF-beta responses. These studies implicated the involvement of a 150 kDa GPI-anchored TGF-beta1 binding protein, r150, in modulating TGF-beta signaling. Here, we sought to determine the molecular identity of r150 by affinity purification and microsequencing. Our results identify r150 as CD109, a novel member of the alpha2-macroglobulin (alpha2M)/complement superfamily, whose function has remained obscure. In addition, we have identified a novel CD109 isoform that occurs in the human placenta but not keratinocytes. Biochemical studies show that r150 contains an internal thioester bond, a defining feature of the alpha2M/complement family. Loss and gain of function studies demonstrate that CD109 is a component of the TGF-beta receptor system, and a negative modulator of TGF-beta responses in keratinocytes, as implicated for r150. Our data suggest that CD109 can inhibit TGF-beta signaling independently of ligand sequestration and may exert its effect on TGF-beta signaling by direct modulation of receptor activity. Together, our results linking CD109 function to regulation of TGF-beta signaling suggest that CD109 plays a unique role in the regulation of isoform-specific TGF-beta signaling in keratinocytes.
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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".