Abstracts for 2016 Annual Poster Presentation (Research Institute for Diseases of Old Age & Center for Genomic and Regenerative Medicine)
Bibliographic record
Abstract
Introduction: Hereditary deafness affects about 1 in 1,600 children and GJB2 gene mutation is most frequent cause for this disease.GJB2 encodes connexin26 (Cx26), a component in cochlear gap junction.Cx26 is mainly expressed in cochlear supporting cells and fibrocytes, and forms large gap junction plaque (GJP) macromolecular complex.Recently, we have developed a method for preparing inner ear precursor cells with Cx26GJP from mouse iPS cells (Fukunaga, Stem Cell Report, 2016).In this study, we aimed for separation of inner ear progenitor cells and mass culture of the cells by simplification of the method.Methods: The cochlear feeder cells were developed from adult cochlear tissue to support cochlear differentiation.Undifferrentiated mouse iPS cells were cultured in mediums which contain several reagent cocktails on the cochlear feeder cells.Cx26 expression was analyzed by immunohistochemistry. GFP signals controlled by Nanog promotor (Nanog-GFP) were monitored as an undifferentiated state marker.To investigate the characterization of cochlear feeder cells, surface antigens were identified by flow cytometry.Results: The iPS cells proliferated on cochlear feeder cells and showed gradual decrease in expres-sion of Nanog-GFP in all conditions.Remarkable morphological changes among the reagents were observed in about 1-2 weeks.In one of these conditions, a number of the cells forming Cx26-gap junction plaques were observed.Surface antigens expressed in cochlear feeder cells were similar to those of mouse mesenchymal stem cells.Conclusions: In this study, iPS cells differentiated into neural or non-neural cells depending on the reagent cocktails on cochlear feeder cells.Our method is thought to be effective to establish Cx26 gap junction forming cells similer to cochlear fibrocytes and supporting cells.By establish of this method, it is expected to make disease model cells of patient with hereditary deafness caused by GJB2 gene mutation for the drag screening.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.635 | 0.405 |
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".