Additional file 1 of A fat body transcriptome analysis of the immune responses of Rhodnius prolixus to artificial infections with bacteria
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,831 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».