Abstract LB-386: The role of neuronal connexins in the differentiation of neuroblastoma
Bibliographic record
Abstract
Abstract Gap junctions are membrane channels allowing intercellular communication between adjacent cells, and regulate cellular processes such as metabolism, proliferation, and differentiation. Connexins (Cx), the constituent proteins of gap junctions, are aberrantly localized or have decreased expression in many cancers, and some connexins act as tumor suppressors when overexpressed. Connexins are also highly regulated during development and when overexpressed, some have been shown to enhance cellular differentiation. In the present study, the role of neuronal connexins, Cx36 and Cx45, in the differentiation of SH-SY5Y human neuroblastoma cells was investigated. Retinoic acid was used as the differentiating agent, as it is often employed in differentiation therapy of tumor cells. Retinoic acid induces neuritogenesis and expression of differentiation markers, such as growth associated protein 43 (Gap43), neuropeptide Y (NPY), and neuron specific enolase (NSE) in SH-SY5Y cells. Following 2, 4, and 10 days of retinoic acid induced differentiation of SH-SY5Y cells, Cx36 mRNA expression showed a significant increase compared to non-treated cells, while Cx45 mRNA expression remained stable. Cx36 was overexpressed using liposome-mediated transfection, and an increase in the mRNA levels of Gap43, NSE, and NPY was observed after 48 hours compared to control EGFP transfected cells. Cx36 overexpression also enhanced retinoic acid induced differentiation, as evidenced by the increase in mRNA expression of differentiation markers, Gap43 and NPY, following 2 days of treatment, and will now be confirmed following 4 and 10 days of treatment. Therefore, Cx36 overexpression induces and enhances the differentiation of SH-SY5Y neuroblastoma cells. Current studies involve knocking down Cx36 and Cx45 with shRNA and inducing differentiation of SH-SY5Y cells to determine whether connexin knock down diminishes neuritogenesis or differentiation marker expression. These studies provide insight into the role of connexins in the differentiation therapy approach to cancer treatment. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr LB-386.
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 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 | 0.000 | 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) | 0.002 | 0.001 |
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".