Biological Networks Governing the Acquisition, Maintenance, and Dissolution of Pluripotency: Insights from Functional Genomics Approaches
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 repertoire of transcripts encoded by the genome contributes to the diversity of cellular states. Functional genomics aims to comprehensively uncover the roles of these transcripts to reconstruct biological networks and transform this information into useful knowledge. High-throughput functional screening has served as a powerful genetic discovery tool by enabling massively parallel implementation of biological assays. In recent years, high-throughput screening has unearthed crucial players in the regulation of different aspects of pluripotency, which is a unique property that enables a cell to differentiate into multiple cell types of the three major lineages. Pluripotency thus represents an interesting biological paradigm for studying the acquisition, maintenance, and dissolution of cellular states. In this review, we highlight the major findings of high-throughput studies to dissect these three aspects of pluripotency for the mouse and human systems. Collectively, they provide new insights into cell fate maintenance and transition. In addition, we also discuss the opportunities and challenges awaiting high-throughput screening in the future.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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