Non‐canonical ORFs‐derived protein products in mitochondria: A multifaceted exploration of their functions in health and disease
Bibliographic record
Abstract
Traditionally, eukaryotic mRNAs were perceived as inherently monocistronic. However, recent insights from ribosome profiling (Ribo-seq) and proteomics studies challenge this paradigm. These investigations reveal that, beyond the currently annotated reference proteins (RefProts), there exist additional proteins known as alternative proteins (AltProts) and small open reading frames derived microproteins encoded in regions of mRNAs previously considered untranslated or in non-coding transcripts. This experimental evidence broadens the spectrum of functional proteins within cells, tissues, and organs, potentially offering crucial insights into biological processes. Notably, a significant proportion of these newly identified AltProts and microproteins demonstrates localization in mitochondria, contributing to the functions of mitochondrial complexes. This review delves into the overlooked realm of the alternative proteome within mitochondria, exploring the role of nuclear or mitochondrial-genome-encoded AltProts and microproteins in physiological and pathological cellular processes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".