TLS, EWS and TAF15: a model for transcriptional integration of gene expression
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
Multifunctional proteins are demonstrating that gene expression is not a series of compartmentalized events beginning with transcription and culminating in delivery of mature mRNA into the cytoplasm, but an integrated pathway of transcription, splicing, RNA metabolism and subcellular targeting of translation. One such multifunctional family is made up of the RNA-binding proteins TLS, EWS and TAF15. These three proteins each contribute a potent transcriptional activation domain to oncogenic fusion proteins, and the formation of these fusion genes are thought to be the primary causes of their associated cancers. Wild-type TLS, EWS and TAF15 can function as classical transcription factors in addition to their better-known functions in splicing and mRNA transport. The interaction between TLS and the stress-response protein YB-1 is an example of how these proteins can induce a multi-faceted change in gene expression, as they can interact to induce changes in both transcription and splicing of target genes. Investigating the multiple functions of TLS, EWS and TAF15 will enhance our understanding of gene expression as a whole, and also allow us to better understand how these proteins may be contributing to the oncogenic pathways the associated fusion proteins initiate.
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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) | 0.000 | 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) | 0.000 | 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