Structure-Function Study of the Extracellular Domain of the Human Type I Interferon Receptor (IFNAR)-1 Subunit
Bibliographic record
Abstract
Despite accumulating information about the different effector molecules and signaling cascades that are invoked on interferon-alpha (IFN-alpha) binding to the type 1 IFN receptor, little is known about the specifics of the binding interactions between the ligand and the receptor complex. The IFN-alpha/beta receptor (IFNAR)-2 subunit of the IFN receptor is considered the primary binding chain of the receptor, yet it is clear that both receptor subunits, IFNAR-1 and IFNAR-2, cooperate in the high-affinity binding of IFN to the receptor complex. Earlier results from our laboratory suggested that an association of IFNAR-1 with membrane Galalpha1-4Gal-containing glycolipids facilitates receptor-mediated signaling. The data implicated amino acid residues in the SD100 domain of IFNAR-1 in the glycosphingolipid (GSL) modification of the type 1 IFN receptor. Interestingly, the human and murine counterparts of IFNAR-1 exhibit remarkable species specificity despite their considerable amino acid sequence identity. Certainly, those amino acid residues that effect GSL modification of IFNAR-1 are conserved between species, yet specific regions of IFNAR-1 that confer species specificity have not been defined. To delineate further the role of the IFNAR-1 SD100A domain in receptor function, a chimeric cDNA was assembled, in which the SD100A domain of the murine IFNAR-1 chain was replaced with the human sequence. This construct was expressed in IFNAR-1-/- mouse embryonic fibroblasts, and stable transfectants were established. Transfectants are fully sensitive to murine IFN-alpha4 treatment with respect to the induction of IFN-stimulated gene factor 3 (ISGF3) and sis-inducing factor (SIF) signal transducer and activator of transcription factor (Stat) complexes, exhibiting comparable levels of Stat activation to those observed in IFNAR-1-/- cells reconstituted with intact MuIFNAR-1. Similar results were obtained with IFN-induced antiviral and growth inhibitory responses. Viewed together, these data suggest that the SD100A domain of IFNAR-1 does not contribute to species-specific IFN binding.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".