The increased expression of proteins involved in proliferation, DNA repair and DNA methylation in spleen of mice exposed to E. coli O157:H7 lipopolysaccharide
Bibliographic record
Abstract
Previous research showed that the consumption of heat-killed E. coli O157:H7 bacteria resulted in an increase in the level of DNA damage in intestine, liver and spleen cells. We hypothesized that certain bacterial components released from heat-killed bacteria trigger this response. We analysed the possibility that bacterial components [such as lipopolysaccharides (LPS)] could induce changes in the level of proteins involved in cell proliferation, DNA repair and DNA methylation in distal spleen tissues of mice. Four-week-old male mice were provided water supplemented with whole heat-killed E. coli O157:H7 bacteria or components of bacteria (DNA, RNA, proteins and LPS). Spleen cells responded to exposure to whole heat-killed bacteria and LPS with an alteration in the level of PCNA proteins, DNA methylation proteins (DNMT1, DNMT3A, DNMT3B, and MeCP2) and DNA repair proteins (APE1 and KU70). Other bacterial components analysed in this study mostly did not alter protein expression. The data suggest that LPS is a bacterial component capable of inducing molecular changes in naïve spleen cells of hosts exposed to it.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".