Phenotypic Analysis of Organoids by Proteomics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The development of 3D cell cultures into self-organizing organ-like structures named organoids provides a model that better reflects in vivo organ physiology and their functional properties. Organoids have been established from several organs, such as the intestine, prostate, brain, liver, kidney and pancreas. With recent advances in high-throughput and -omics profiling technologies, it is now possible to study the mechanisms of cellular organisation at the systems level. It is therefore not surprising that these methods are now used to characterize organoids at the transcriptomic, proteomic, chromatin state and transcription factor DNA-binding levels. These approaches can therefore provide a wealth of information regarding both the mechanisms involved in different diseases, and those involved in cell responses to different conditions, in a more in vivo setting. The authors provide an overview of the potential applications of quantitative mass spectrometry with organoid culture, and how the use of large-scale proteome measurements is emerging in different organoid systems.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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 it