OSMR INTERACTOME MAPPING REVEALS THE SIGNIFICANCE OF A CHLORIDE CHANNEL IN CYTOKINE REGULATION AND BRAIN TUMOUR STEM CELL SELF-RENEWAL
Bibliographic record
Abstract
Abstract Oncostatin M Receptor (OSMR) is a key regulator of brain tumour stem cell (BTSC) self-renewal and glioblastoma (GB) tumourigenesis. This receptor is found in a complex with Epidermal Growth Factor Receptor variant III (EGFRvIII) and orchestrates a positive feedback loop with STAT3. OSMR also regulates oxidative phosphorylation and participates in promoting the transition of cells towards mesenchymal-like glioma states. How OSMR drives GB tumorigenesis via multiple mechanisms remains largely unclear. Here, we map OSMR interactome in different GB subtypes using the Mammalian Membrane Two Hybrid High Throughput Screen (MaMTH-HTS). Analysis of these data followed by functional validation has uncovered distinct OSMR interactome in a context dependent manner. Follow up investigations, however, have led to the discovery of the Chloride Intracellular Channel 1 (CLIC1), essential in the regulation of OSMR cytokine signaling and GB progression independently of the genetic profile of the GB tumour. CLIC1 forms a complex with OSMR to promote BTSC self-renewal and knockout of CLIC1 or pharmacological inhibitors to CLIC1 impairs OSM mediated STAT3 phosphorylation. Our work suggests that CLIC1 and OSMR forms a complex in BTSCs and functionally interact to activate STAT3.
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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 | 0.001 | 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) | 0.002 | 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".