Importance of Cell Specific Transcription Factors in Sox2 Regulation, Conservation and Reprogramming
Bibliographic record
Abstract
Importance of Cell Specific Transcription Factors in Sox2 Regulation, Conservation and Reprogramming By Nakisa Malek-Gilani Master of Science, 2016 Cell and Systems Biology, University of Toronto The Sox2 gene is a transcription factor critical for the self-renewal and pluripotency of embryonic stem cells. While Sox2 is expressed in ES cells, the cell-type specific regulation of Sox2 transcription is only recently investigated; with a distal Sox2 Control Region (SCR) discovered. I demonstrated the importance of two clusters of ES cell specific transcription factor binding motifs in conferring enhancer activity to functional regions within the SCR. Mutation of a single motif results in significant loss of enhancer activity suggesting formation of TF complexes. Using these motifs studied in mice, I located a putative functionally conserved SCR region in human. The putative human Sox2 control region (hSCR) demonstrates high sequence conservation of ES cell specific TF motifs and two distinct clusters as seen in mouse. Overall, these results suggest TF binding at Sox2 distal enhancers is vital for activity and could be conserved across species.
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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) | 0.000 | 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) | 0.001 | 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 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".