Unraveling Complex MicroRNA Signaling Pathways with Activity‐Based Protein Profiling to Guide Therapeutic Discovery**
Bibliographic record
Abstract
Abstract microRNAs (miRNAs) are important cell factors that can play essential roles, such as regulating transcription factors in embryonic development. Traditionally, microarrays or high‐throughput sequencing of crosslinked protein‐RNA complexes have been applied to deduce direct targets, but these techniques fail to account for biomolecular interactions with functional consequences. Activity‐based protein profiling (ABPP) represents a promising alternative to conventional methods and was applied to the discovery of functional targets of human miRNAs. ABPP identified downregulation of MGLL and LIPC, in response to miR‐185 and miR‐27b, respectively. Hepatitis C virus (HCV) infection was found to be modulated by these indirect downstream effectors. These findings highlight the importance of identifying functional targets in developing novel ways to mimic or inhibit miRNA pathways. This review will focus on miRNA regulation and how ABPP can be used to study these pathways.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".