Additional file 1 of A fat body transcriptome analysis of the immune responses of Rhodnius prolixus to artificial infections with bacteria
Bibliographic record
Abstract
Additional file 1: Table S1. Differentially expressed (DE) transcripts in the fat body (FB) tissue of Rhodnius prolixus for multiple pairwise comparisons. These values were used to create Fig. 1. Log 2 fold change values were calculated for each comparison using the data above each row as the reference value. Empty cells indicate transcripts that were not statistically DE. Table S2. List of Rhodnius prolixus immune transcripts used for differential expression analyses. Transcripts with known or predicted immune functions are listed and categorized according to their function or molecular pathway. Expression values used to create heatmaps of Figs. 2, 3 are listed at the bottom of the table. Table S3. DE immune transcripts in the FB of Rhodnius prolixus. Immune transcripts with DE are listed, log 2 fold change values were calculated using as a baseline the reference condition values. Table S4. Statistically significant enriched gene ontology (GO) terms from pairwise comparisons. Enriched GO terms were found for the Gr- bacteria and PBS treatments at 8 hpi and 24 hpi, respectively, when compared with the PBS treatment at 8 hpi, but not for the other comparisons. BP Biological process, MF molecular function, CC cellular compartment. Figure S1. Maximum likelihood phylogenetic tree of serine proteases (SP) from selected insects. Multiple SP clades containing SPs from different species were formed. Rhodnius prolixus SPs (blue) are distributed across the tree; some R. prolixus SP are clustered together with SP from Manduca sexta (green) that participate in the Toll and melanization pathways. Some clades including multiple species are collapsed for display purposes. Clade support is shown as percentage values of 1000 ultrafast bootstrap replicates. Figure S2. Maximum likelihood phylogenetic tree of SP inhibitors (SPI) from selected insects. Only a few SPI from Rhodnius prolixus (blue) are clustered together with SP from Manduca sexta (green) that participate in the Toll and melanization pathways. Some clades including multiple species are collapsed for display purposes. Clade support is shown as percentage values of 1000 ultrafast bootstrap replicates. Table S5. Rhodnius prolixus SPs. List of SPs identified in a Rhodnius prolixus FB tissue transcriptome. The closest ortholog to these SPs was identified in Drosophila melanogaster and Manduca sexta using phylogenetic analyses from Additional file 1: Figure S1. Table S6. Rhodnius prolixus SPIs. List of SPIs identified in a R. prolixus FB tissue transcriptome. The closest ortholog to these SPIs was identified in Drosophila melanogaster and Manduca sexta using phylogenetic analyses from Additional file 1: Figure S2. Table S7. Rhodnius prolixus top 50 most highly expressed genes in the FB. A list of highly expressed genes was generated from the six treatments used in the construction of a FB transcriptome and the data set of naïve insects from Ribeiro et al. [38]. All these genes have corresponding sequences in the de novo transcriptome. DE transcripts are highlighted (grey background) by using the information from Table S1. Gr- Gram-negative bacteria, Gr+ Gram-positive bacteria, hpi hours post-injection. Table S8. List of SPs and SPIs used for the construction of the phylogenetic trees depicted in Additional file 1: Figures S1 and S2.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.985 | 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 teacher head, 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".