Comparative Dual RNA-Seq Analysis of Eight <i>Orientia tsutsugamushi</i> Strains in Endothelial Cells Reveals Regulatory Patterns in Bacterial and Host Pathways During Infection
Bibliographic record
Abstract
Abstract Orientia tsutsugamushi is an obligate intracellular bacterium that causes the mite-borne human disease scrub typhus. The species is characterised by having many strains that differ in their ability to cause disease in murine infection models and in human patients. The genomes of a diverse set of Orientia tsutsugamushi strains have recently been analysed in detail, revealing broadly similar gene content with genomes differing primarily in synteny and in the composition of a large arsenal of predicted secreted effector proteins. Given the similarity in gene content, here we asked whether the observed differences in virulence were driven by genome-wide differences in gene expression of bacterial genes, and differences in the ensuing response of infected host cells. To explore this, we carried out a dual RNA sequencing analysis of eight diverse strains of Orientia tsutsugamushi grown in cultured human endothelial cells. An overall analysis found no clear patterns in the bacterial or host gene expression patterns that correlate with the ability to cause disease. We found that all strains induce a strong type 1 interferon response in endothelial cells, but that within that broad response each strain has a unique fingerprint of induced genes likely leading to different disease outcomes when combined with a complex immune system in vivo . We compared expression levels of orthologous genes between different strains and identified some bacterial pathways with constant expression levels whilst others were more variable, leading to the identification of specific pathways under tight transcriptional control during cellular infection. Together our data show that inter-strain differences in virulence are not defined by expression levels of any one set of bacterial or host genes and also reveal insights into transcriptional regulation of different pathways in Orientia tsutsugamushi .
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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 | 0.000 | 0.000 |
| 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".