Qianniu Li
Research Subjects
Qianniu Li has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Jingyun Ma
College of Animal Science, South China Agricultural University, Guangzhou, PR China
2 shared publications Haoqian Fan
State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou 510642, China
1 shared publication- Ling Zhou
Guangdong Provincial Key Laboratory of Agro−Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
1 shared publication - Long Gao
Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
1 shared publication Mengjing Cao
State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou 510642, China
1 shared publicationTian Lan
State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou 510642, China
1 shared publication
Latest Publications
- 27 November 2023
- Published by Elsevier in Veterinary Microbiology
- Vol. 289, 109916
Porcine delta coronavirus inhibits NHE3 activity of porcine intestinal epithelial cells through miR-361–3p/NHE3 regulatory axis
- 27 November 2023
- Published by Elsevier in Veterinary Microbiology
- Vol. 289, 109916
Porcine delta coronavirus inhibits NHE3 activity of porcine intestinal epithelial cells through miR-361–3p/NHE3 regulatory axis
- Open Access
- 6 February 2023
- Published by MDPI AG in Microorganisms
- Vol. 11 (2) , 409
Combined Analysis of the Whole Transcriptome of Piglets Infected with SADS−CoV Virulent and Avirulent Strains
When piglets are infected by virulent and avirulent strains of swine acute diarrhea syndrome coronavirus (SADS−CoV), there are obvious differences in their clinical symptoms; however, the specific mechanisms of pathogenicity and the immune regulation of highly pathogenic and low pathogenic strains are unknown. We collected intestinal tissues from SADS−CoV−infected piglets, performed a whole transcriptome sequencing analysis, including mRNA, miRNA, lncRNA, cicrRNA, and TUCP, and performed functional and correlation analyses of differentially expressed RNAs. Our results showed that the differentially expressed RNAs in group A versus group B (AvsB), group A versus group C (AvsC), and group B versus group C (BvsC) were relevant to immune and disease−related signaling pathways that participate in the organisms’ viral infection and immune regulation. Furthermore, data obtained from the HAllA analysis suggested that there was a strong correlation between the differentially expressed RNAs. Specifically, LNC_011487 in the P set was significantly negatively correlated with ssc−miR−215, and LNC_011487 was positively correlated with PI3. Moreover, we also constructed a differentially expressed RNA association network map. This study provides a valuable resource for studying the SADS−CoV transcriptome and pathogenic mechanism from the perspective of RNA to understand the differences in and consistency of the interaction between virulent and attenuated SADS−CoV strains and hosts.
- 6 February 2023
- Published by MDPI AG in Microorganisms
- Vol. 11 (2) , 409
Open AccessCombined Analysis of the Whole Transcriptome of Piglets Infected with SADS−CoV Virulent and Avirulent Strains
When piglets are infected by virulent and avirulent strains of swine acute diarrhea syndrome coronavirus (SADS−CoV), there are obvious differences in their clinical symptoms; however, the specific mechanisms of pathogenicity and the immune regulation of highly pathogenic and low pathogenic strains are unknown. We collected intestinal tissues from SADS−CoV−infected piglets, performed a whole transcriptome sequencing analysis, including mRNA, miRNA, lncRNA, cicrRNA, and TUCP, and performed functional and correlation analyses of differentially expressed RNAs. Our results showed that the differentially expressed RNAs in group A versus group B (AvsB), group A versus group C (AvsC), and group B versus group C (BvsC) were relevant to immune and disease−related signaling pathways that participate in the organisms’ viral infection and immune regulation. Furthermore, data obtained from the HAllA analysis suggested that there was a strong correlation between the differentially expressed RNAs. Specifically, LNC_011487 in the P set was significantly negatively correlated with ssc−miR−215, and LNC_011487 was positively correlated with PI3. Moreover, we also constructed a differentially expressed RNA association network map. This study provides a valuable resource for studying the SADS−CoV transcriptome and pathogenic mechanism from the perspective of RNA to understand the differences in and consistency of the interaction between virulent and attenuated SADS−CoV strains and hosts.