Towards safer stable isotope probing — effect of formamide on the separation of isotope-labeled and unlabeled <i>Escherichia coli</i> RNA by isopycnic density ultracentrifugation
Bibliographic record
Abstract
RNA-based stable isotope probing (RNA-SIP) is used in molecular microbial ecology to link the identity of microorganisms in a complex community with the assimilation of a distinct substrate. The technique is highly dependent on a reliable separation of isotopic-labeled RNA from unlabeled RNA by isopycnic density gradient ultracentrifugation. Here we show that 13C-labeled and unlabeled Escherichia coli RNA can be sufficiently separated by isopycnic ultracentrifugation even in the absence of formamide. However, a slightly lower starting density is needed to obtain a distribution pattern similar to that obtained when formamide was used. Hence, the commonly used addition of formamide to the centrifugation solution might not be needed to separate 13C-labeled RNA from unlabeled RNA, but this must be verified for more complex environmental mixtures of RNA. Clearly, an omission of formamide would increase the safety of RNA-SIP analyses.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".