Sus scrofa
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA399620 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13972800_1.fastq.gz | Fastqsanger.gz | |||
| SRR13972800_2.fastq.gz | Fastqsanger.gz | |||
| SRR13972801_1.fastq.gz | Fastqsanger.gz | |||
| SRR13972801_2.fastq.gz | Fastqsanger.gz | |||
| SRR13962181_1.fastq.gz | Fastqsanger.gz |
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Project description:Sus scrofa Raw sequence reads of DNA Methylome from Piglets ileum tissues under Clostridium perfringenes Type C infection
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Project description:Sus scrofa Raw sequence reads of TMT Proteomic Analysis from Piglets ileum tissues under Clostridium perfringenes Type C infection
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Project description:Weaning is a very critical period for piglets, typically accompanied by lower feed intake, weight loss after weaning and increased mortality. At weaning, piglets are exposed to many stressors, such as loss of mothering, mixing with other litters, end of lactational immunity, and a change in their environment and gut microbiota. After weaning, morphological and histological changes occur in the small intestine of piglets producing a rapid change of feeding regime which is critical for the immature digestive system. Sixteen female piglets were weaned to assess the effect of sorbic acid supplementation on the small intestine tissue transcriptome. At weaning day (T0), 4 piglets were sacrified and tissue samples collected. The remaining 12 piglets were weighted and randomly assigned to different post weaning (T5) diets. Diet A (n=6) contained 5 g/kg of sorbic acid. Diet B (n=6) is the same as Standard diet. Total RNA was isolated from ileum samples to be analyzed using the a CombiMatrix CustomArrayTM 90K platform . Even though diet had no detectable effect during the first 5 days after weaning, outcomes from this study highlighted some of the response mechanisms to the stress of weaning occurring in the piglet gut. A total of 205 differentially expressed genes were used for functional analysis using bioinformatics through BLAST2GO, Ingenuity Pathway Analysis 8.0, and the Dynamic Impact Aproach (DIA). Bioinformatics analysis revealed that Apoptosis, RIG-I-like and NOD-like receptor signaling were altered as a result of weaning. Results suggest that immune and inflammatory responses were activated and likely are a cause of small intestine atrophy as revealed by a decrease in villus height and villus/crypt ratio. Keywords: weaning, gut, gene expression, sorbic acid, microarray analysis
2014-11-14 | GSE50150 | GEO
Project description:Purpose: RNA-Seq has become a powerful tool for investigating transcriptional profiles in gene expression analysis, which would help to reveal the molecular mechanism of Clostridium perfringens type C infecting the piglets. In this study, we analyzed miRNA profiles of the ileum of piglets caused by Clostridium perfringens type C. Methods: 30 normal 7-day-old piglets (Y x L), without infecting Clostridium perfringens type C, Escherichia coli and Salmonella, were selected as experimental subjects. 25 piglets were randomly selected as the experimental group, which were disposed once a day for 5 days. Each piglet was dosed with 1 ml of bouillon culture-medium inoculated Clostridium perfringens type C at 37℃ for 16h, which approximate to 1 x10e9 CFU per ml. Then, 5 piglets were randomly selected as the control group (IC), which were taken the equal volume medium for 5 days.Based on total diarrhea scores, 25 piglets were ranked from high to low. The top and last five piglet were considered as sensitive group (IS) and resistant group (IR), respectively. Finally, ileum were collected and sequenced for miRNA. Result: 53 differentially expressed miRNAs were found. KEGG pathway analysis for target genes revealed that these miRNAs were involved in ErbB signaling pathway, MAPK signaling pathway, Jak-STAT signaling pathway and Wnt signaling pathway. The expression correlation analysis between miRNAs and target genes revealed that the expression of miR-7134-5p had negative correlation with target NFATC4, miR-500 had negative correlation with target ELK1, HSPA2 and IL7R, and miR-92b-3p had negative correlation with target CLCF1 in ileum of IR vs IS group, suggesting that miR-7134-5p targeting to NFATC4, miR-500 targeting to ELK1, HSPA2 and IL7R, and miR-92b-3p targeting to CLCF1 were probably involved in piglet resisting C. perfringens type C. Conclusions: The results will provide value resources for better understanding of the genetic basis of C. perfringens type C resistance in piglet and lays a new foundation for identifying novel markers of C. perfringens type C resistance
2022-04-24 | GSE130471 | GEO
Project description:Purpose: RNA-Seq has become a powerful tool for investigating transcriptional profiles in gene expression analysis, which would help to reveal the molecular mechanism of Clostridium perfringens type C infecting the piglets. In this study, we analyzed the transcriptome profiles of the spleen of piglets caused by Clostridium perfringens type Cens type C. Methods: 30 normal 7-day-old piglets (Y x L), without infecting Clostridium perfringens type C, Escherichia coli and Salmonella, were selected as experimental subjects. 25 piglets were randomly selected as the experimental group, which were disposed once a day for 5 days. Each piglet was dosed with 1 ml of bouillon culture-medium inoculated Clostridium perfringens type C at 37℃ for 16h, which approximate to 1 x109 CFU per ml. Then, 5 piglets were randomly selected as the control group (SC), which were taken the equal volume medium for 5 days.Based on total diarrhea scores, 25 piglets were ranked from high to low. The top and last five piglet were considered as sensitive group (SS) and resistant group (SR), respectively. Finally, spleen were collected and sequenced for lncRNA and mRNA. Results: RNA libraries constructed from spleen of piglets caused by Clostridium perfringens type C were sequenced. A total of 1,450,292,484 clean reads were generated. Among them, 2056 novel lncRNA transcripts corresponding to 1561 lncRNA genes were identified, including 1811 intergenic lncRNAs and 245 anti-sense lncRNAs. The identified spleen lncRNAs shared some characteristics, such as fewer exons and shorter length, with the lncRNAs in other animal. Notably, in pairwise comparisons between the libraries of spleen tissue at the different group, a total of 247 lncRNA and 2170 mRNA were differentially expressed (P < 0.05). Function analyses indicated that these differentially expressed lncRNAs and mRNAs play roles in defensing Clostridium perfringens type C, which were enriched in immune-related biological processes, such as the antigen processing and presentation, TNF signaling pathway, NF-kappa B signaling pathway, B cell receptor signaling pathway and MAPK signaling pathway. Conclusions: This study provides the information of spleen-related lncRNAs in swine diarrhea with Clostridium perfringens type C. We also analyzed all lncRNA’s genomic feature and expression. Bioinformatic analysis indicates that some lncRNAs participated in important biological processes associated with defeasing Clostridium perfringens type C, such as antigen processing and presentation, the MHC protein complex and regulation of autophagy.
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Project description:Raw sequence reads of transcriptome study of different tissues of African swine fever infection
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Project description:In this study, we applied the isobaric tags for relative and absolute quantitation (iTRAQ) technique to detect alterations in the proteomic profile of the jejunal mucosa using a porcine model in which piglets were offered the protein-limited (PL) diet. Protein identification and quantification for iTRAQ experiments were performed using ProteinPilot (v4.0.8085) software. The LC-MS/MS data were searched against the UniProtKB (sus scrofa). To minimize the false discovery rate (FDR), a threshold for protein identification was applied, with the confident value > 95% (amount to the confident value “unused ProtScore” > 1.3 in ProteinPilot software), and at least one unique peptide was considered for protein identification. Proteins that were quantified with fold change > 2.0 were considered to be differentially expressed proteins. We identified 5275 proteins, 202 of which were differentially expressed. Furthermore, we adopted function annotation analysis of all identified proteins and function enrichment analysis of all differentially expressed proteins to explore more meaningful proteins and pathways.
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