Identification of gene expression profiles in the actinomycete <i>Gordonia neofelifaecis</i> grown with different steroids
Bibliographic record
Abstract
Gordonia neofelifaecis NRRL B-59395 was initially isolated from the fresh feces of a clouded leopard based on its ability to degrade cholesterol. The transcriptome profiles of G. neofelifaecis NRRL B-59395 grown with cholesterol, androstenedione (AD), and pyruvic acid were compared by RNA-Seq. The sterol catabolic genes are highly conserved in G. neofelifaecis, Rhodococcus jostii RHA1, and Mycobacterium tuberculosis. The RNA-Seq results indicated that the genes involved in the sterol side chain cleavage were exclusively induced by cholesterol, while the genes involved in the degradation of rings A/B and C/D were up-regulated by both cholesterol and AD. It appears that the induction mechanisms for the genes responsible for side chain cleavage and those for degradation of rings are different. There are approximately 21 genes encoding transporter proteins that are differentially expressed in cholesterol or AD compared with pyruvic acid. The genes camABCD and camM encode two systems that take up cholate, and they have been shown to be cholesterol- and AD-inducible. The potential biological functions of other differentially expressed genes are also discussed. These results will promote the functional characterization of the sterol catabolic genes and also provide important clues in understanding the mechanisms of their gene expression, and they may help us understand the mechanism underlying microbial cholesterol catabolism.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".