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Chinese Academy of Agricultural Sciences

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1970
2024
1970 2024
23907 results
  • A study of Identification and verification of the role of key metabolites and metabolic pathways on ASFV replication, Zunji shi et.al
    African swine fever (ASF), one of the most harmful diseases prevalent in pig farms nowadays, caused by the African swine fever virus (ASFV) that cause enormous economic losses. Viremia usually develops within a few days after ASFV infection. However, the metabolic changes in pig serum after ASFV infection remain unclear. In this study, serum samples collected from ASFV-infected pig at different times were analyzed using pseudotargeted metabolomics method. Metabolomic analysis revealed 225 metabolites decreased and 65 metabolites increased in serum collected in ASFV infected 5 days post-infection (dpi), 254 metabolites decreased and 58 metabolites increased in serum collected ASFV infected 10 dpi. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the significant changed metabolites indicated that dopaminergic synapse has the highest rich factor in both ASFV5 (ASFV infected 5 dpi) VS ASFV0 (ASFV infected 0 dpi) and ASFV10 (ASFV infected 10 dpi) VS ASFV0.
    • Dataset
  • Genomic insight into the Hyalomma anatolicum biology by comparative genome analysis
    Supplementary Table 1. Repeat sequence annotation. Supplementary Table 2. Homology comparision of gene, exon and intron. Supplementary Table 3. non-Coding RNA. Supplementary Table 4. Expanded gene families in Hyalomma anatolicum. Supplementary Table 5. Heme related and hemoglobin digesting genes. Supplementary Table 6. Oxidative stress associated genes. Supplementary Table 7. Cytochrome P450 family genes. Supplementary Table 8. Environment sensing related genes. Supplementary Table 9. G protein coupled receptors. Supplementary Table 10. Immune pathway related genes. Supplementary Table 11. Genes related to epigenetic molecular mechanism. Supplementary Table 12. Predicted neruopeptide encoding genes in Hyalomma anatolicum genome. Supplementary Table 13. Ka/Ks values from pairwise comparisons. Supplementary Table 14. Funcational annotation of positively selected genes.
    • Dataset
  • Gut microbiota affects host fitness of fall armyworm feeding on different food types. Lin Ma et al.
    The file contains raw data from two-sex life tables, pupa weights and nutrient utilization measurements.
    • Dataset
  • Electron-rich Au nanocrystals/Co3O4 interface for enhanced electrochemical nitrate reduction into ammonia
    Data source of article: Electron-rich Au nanocrystals/Co3O4 interface for enhanced electrochemical nitrate reduction into ammonia
    • Dataset
  • Schistosoma japonicum translationally controlled tumor protein, which is associated with the development of female worms, as a target for control of schistosomiasis
    The attachment files of the article "Schistosoma japonicum translationally controlled tumor protein, which is associated with the development of female worms, as a target for control of schistosomiasis".
    • Dataset
  • Genome-Wide Analysis of Dynamic RNA Profiles During Toxoplasma gondii Infection in the Felines- SI_1
    SI_1_1.fq
    • Dataset
  • Genome-Wide Analysis of Dynamic RNA Profiles During Toxoplasma gondii Infection in the Felines-raw datas C3
    C_3_1.fq, C_3_2.fq
    • Dataset
  • Genome-Wide Analysis of Dynamic RNA Profiles During Toxoplasma gondii Infection in the Felines-raw datas C2
    C_2_1.fq, C_2_2.fq
    • Dataset
  • Glycosylation Analysis of Feline Small Intestine Following Toxoplasma gondii Infection- raw datas 3
    Glycosylation Analysis of Feline Small Intestine Following Toxoplasma Gondii Infection- raw datas, Rawdata_7.tar, Rawdata_8.tar, Rawdata_9.tar,
    • Dataset
  • Glycosylation Analysis of Feline Small Intestine Following Toxoplasma gondii Infection- raw datas 1
    Toxoplasma gondii (T. gondii) is responsible for severe human and livestock diseases, huge economic losses, and adversely affects the health of the public and the development of animal husbandry. Glycosylation is a common posttranslational modification of proteins in eukaryotes, and N-glycosylation is closely related to the biological functions of proteins. However, glycosylation alterations in the feline small intestine following T. gondii infection have not been reported. In this study, the experimental group was intragastrically challenged with 600 brain cysts of the PRU strain that were collected from the infected mice. The cat's intestinal epithelial tissue was harvested at 10 days post-infection (DPI), and then sent for protein glycosylation analysis. High-performance liquid and mass spectrometry were used to analyze glycosylation alterations in the small intestine of cats infected with T. gondii. The results of the present study showed that 56 glycosylated peptides were upregulated and 37 glycosylated peptides were downregulated in the feline small intestine infected by T. gondii. Additionally, we also identified 8 N-glycosylated proteins of T. gondii, including 8 N-glycopeptides and 8 N-glycosylation sites. The protein A0A086JND6_TOXGO (eEF2) and its corresponding peptide sequence were identified in T. gondii infection. During the process of glycosylation of T. gondii oocysts, some special GO terms (cellular process and metabolic process, cell and cell part, catalytic activity) were significantly enriched, and the COG function prediction results showed that posttranslational modification, protein turnover, and chaperones (11%) had the highest enrichment for T. gondii. Interestingly, eEF2 is also involved in the significantly enriched T. gondii MAPK pathway. Protein–protein interaction networks were analyzed by MCODE_Cluster of Cytoscaype for the differentially expressed peptides/proteins. The host proteins ICAM-1 and PPT1 and the endoplasmic reticulum stress pathway may play an important role in the glycosylation of Toxoplasma-infected hosts. This is the first report showing that T. gondii oocysts can undergo N-glycosylation and eEF2 is involved, which provides a new target for anti-T. gondii therapy to prevent the spread of T. gondii oocysts in the future.
    • Dataset
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