Abstract 4427: Role of Smurf2 in regulation of Smad anchor necessary for receptor activation (SARA) in TGFβ-receptor signaling
Bibliographic record
Abstract
Abstract Non-small cell lung cancer (NSCLC) is a major form of lung cancer and is the leading cause of cancer mortality in the western world. Transforming growth factor β (TGFβ) deregulation leads to many human diseases: TGFβ is a tumor suppressor in normal lung epithelium; however, it switches roles and promotes lung cancer metastasis in cancer cells. TGFβ induces cell proliferation, migration and invasion in NSCLC cells. The canonical pathway of TGFβ is initiated through binding of TGFβ ligand to transmembrane Ser/Thr kinase receptors, which propagate their signaling via receptor regulated R-Smads; proteins that function as intracellular effectors in the TGFβ pathway. Once activated, R-Smads form a complex with common (Co)-Smads that translocates into the nucleus to regulate transcriptional responses. Access of R-Smads to the activated receptor complex is regulated by an adaptor protein called Smad anchor for receptor activation (SARA). SARA facilitates the activation of Smads and allow efficient Smad signalling. In addition to R-Smads and Co-Smads, inhibitory Smads (I-Smads) regulate TGFβ signalling. I-Smads block the signalling by competing against R-Smads for the association with TβR complex or by targeting receptors for ubiquitin-mediate degradation. I-Smads recruit the E3 ubiquitin ligases, Smad ubiquitination regulatory factors (Smurfs), to catalyze degradation of the receptor complex. The overall aim of the project is to characterize SARA in TGFβ receptor signalling and study the interaction of SARA with different proteins involved in the pathway, such as Smurf2 and Smad7. We first examined how SARA, Smurf2 and Smad7 influence each other by performing a multi-combination transfection study. We also examined the interaction between SARA and Smurf2 through co-immunoprecipitation. We observed that the level of SARA decrease in the presence of Smurf2 and Smad7. In the presence of Smurf2 ligase inactive mutant and Smad7, the level of SARA is somewhat recovered. However, SARA does not directly interact with Smurf2. These data together suggest that SARA and Smurf2 influence each other in a very close manner. It also suggest that it could be a transient interaction. Characterizing SARA in TGFβ receptor signalling will provide us with possible drug targets for NSCLC. Citation Format: Sanghyun Lee, John M. Di Guglielmo. Role of Smurf2 in regulation of Smad anchor necessary for receptor activation (SARA) in TGFβ-receptor signaling. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4427.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".