An <scp>Alba</scp>‐domain protein contributes to the stage‐regulated stability of amastin transcripts in <i><scp>L</scp>eishmania</i>
Bibliographic record
Abstract
Leishmania infantum promastigotes differentiate into amastigote forms within the phagolysosome of mammalian macrophages causing visceral leishmaniasis. Delta-amastins belong to a multigenic surface protein family of potential virulence factors that are specifically expressed in the amastigote life cycle stage through distinct regulatory elements in the 3' UTR controlling either mRNA stability or translation. Here, we provide novel insights on trans-acting factors regulating amastin developmental gene expression. Using RNA affinity chromatography with a 300 nt regulatory region within the amastin 3' UTR as bait, we identified an Alba-domain protein of 25 kDa (LiAlba20) as a specific amastin mRNA-binding partner. Genomic depletion of LiAlba20 results in amastin mRNA destabilization specifically in amastigotes, supporting a role of LiAlba20 in amastin gene regulation. As shown by comparative DNA microarray analysis, several delta-amastin transcripts but also other known developmentally regulated transcripts were downregulated in LiAlba20-/- knockout parasites. Inactivation of the second Alba-domain gene, LiAlba13, does not seem to affect amastin mRNA stability in either life stage of the parasite. These data indicate an important role of Alba-domain proteins in the regulation of Leishmania differentially expressed transcripts and open a new field of investigation for better understanding mechanisms contributing to post-transcriptional control in these parasites.
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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 | 0.001 |
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".