miRNA upregulate protein and glycan expression via direct activation in proliferating cells
Bibliographic record
Abstract
Abstract The dominant paradigm is that miRNA binding to mRNA represses protein expression. Activation by miRNA has been observed in select circumstances (quiescent cells, mitochondria), but is not thought a feature of miRNA action in actively dividing cells. Herein, we comprehensively map the miRNA regulation of α-2,6-sialyltransferases ST6GAL1 and ST6GAL2 using a high-throughput assay (miRFluR). We find the majority of miRNA targeting ST6GAL1, the main enzyme controlling α-2,6-sialylation, upregulate protein expression. In contrast, those that regulate ST6GAL2 are predominantly downregulatory. We provide evidence that miRNA-mediated upregulation occurs in proliferating cells and is a direct effect. Further, we show that AGO2 and FXR1 are required. Our data expands current understanding of miRNA, providing strong evidence of both upregulatory and downregulatory roles for these non-coding RNA. One-Sentence Summary miRNA directly activate expression of α-2,6-sialyltransferases and sialylation, expanding miRNA actions in dividing cells.
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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) | 0.002 | 0.001 |
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".