scholarly journals Integrative Analysis of miRNA and mRNA Expression Profiles in Mammary Glands of Holstein Cows Artificially Infected with Staphylococcus aureus

Pathogens ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 506
Author(s):  
Xiaolong Wang ◽  
Yongliang Fan ◽  
Yifan He ◽  
Ziyin Han ◽  
Zaicheng Gong ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Mrna Expression ◽  
Calcium Binding ◽  
Expression Profiles ◽  
Bovine Mastitis ◽  
Mammary Glands ◽  
Integrative Analysis ◽  
Differentially Expressed ◽  
Future Application ◽  
Collagen Type Iv

Staphylococcus aureus- induced mastitis is one of the most intractable problems for the dairy industry, which causes loss of milk yield and early slaughter of cows worldwide. Few studies have used a comprehensive approach based on the integrative analysis of miRNA and mRNA expression profiles to explore molecular mechanism in bovine mastitis caused by S. aureus. In this study, S. aureus (A1, B1 and C1) and sterile phosphate buffered saline (PBS) (A2, B2 and C2) were introduced to different udder quarters of three individual cows, and transcriptome sequencing and microarrays were utilized to detected miRNA and gene expression in mammary glands from the challenged and control groups. A total of 77 differentially expressed microRNAs (DE miRNAs) and 1625 differentially expressed genes (DEGs) were identified. Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that multiple DEGs were enriched in significant terms and pathways associated with immunity and inflammation. Integrative analysis between DE miRNAs and DEGs proved that miR-664b, miR-23b-3p, miR-331-5p, miR-19b and miR-2431-3p were potential factors regulating the expression levels of CD14 Molecule (CD14), G protein subunit gamma 2 (GNG2), interleukin 17A (IL17A), collagen type IV alpha 1 chain (COL4A1), microtubule associated protein RP/EB family member 2 (MAPRE2), member of RAS oncogene family (RAP1B), LDOC1 regulator of NFKB signaling (LDOC1), low-density lipoprotein receptor (LDLR) and S100 calcium binding protein A9 (S100A9) in bovine mastitis caused by S. aureus. These findings could enhance the understanding of the underlying immune response in bovine mammary glands against S. aureus infection and provide a useful foundation for future application of the miRNA–mRNA-based genetic regulatory network in the breeding cows resistant to S. aureus.

scholarly journals Integrative Analysis of miRNA and mRNA Expression Profiles in Mammary Glands of Holstein Cows Artificially Infected with Staphylococcus Aureus

2021 ◽  
Author(s):  
Xiaolong Wang ◽  
Yongliang Fan ◽  
Ziyin Han ◽  
Zaicheng Gong ◽  
Yalan Peng ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Mrna Expression ◽  
Calcium Binding ◽  
Expression Profiles ◽  
Bovine Mastitis ◽  
Mammary Glands ◽  
Integrative Analysis ◽  
Differentially Expressed ◽  
Future Application ◽  
Collagen Type Iv

Abstract Background: Staphylococcus aureus- induced mastitis is one of the most intractable problems for dairy industry, which causes loss of milk yield and early slaughter of cows worldwide. Few study used a comprehensive approach based on the integrative analysis of miRNA and mRNA expression profiles to explore molecular mechanism in bovine mastitis caused by S. aureus. Results: In this study, S. aureus and sterile phosphate buffered saline (PBS) were introduced to different quarters of breasts of three individuals, and transcriptome sequencing and microarrays were utilized to detected miRNA and gene expression in mammary gland from the challenged and control groups. A total of 77 differentially expressed microRNAs (DE miRNAs) and 1,625 differentially expressed genes (DEGs) were identified. Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that multiple DEGs were enriched in significant terms and pathways associated with immunity and inflammation. Integrative analysis between DE miRNAs and DEGs proved that miR-664b, miR-23b-3p, miR-331-5p, miR-19b and miR-2431-3p were potential factors regulating the expression levels of CD14 Molecule (CD14), G protein subunit gamma 2 (GNG2), interleukin 17A (IL17A), collagen type IV alpha 1 chain (COL4A1), microtubule associated protein RP/EB family member 2 (MAPRE2), member of RAS oncogene family (RAP1B), LDOC1 regulator of NFKB signaling (LDOC1), low-density lipoprotein receptor (LDLR) and S100 calcium binding protein A9 (S100A9) in bovine mastitis caused by S. aureus. Conclusions: These findings could enhance the understanding of underlying immune response in bovine mammary glands against S. aureus infection, and provide a useful foundation for future application of the miRNA-mRNA based genetic regulatory network in the breeding cows resistant to S. aureus.

scholarly journals Genomic Expression Profiling of Colorectal Cancer in Silico

2021 ◽  
Author(s):  
Feifei Liu ◽  
Yu Wang ◽  
Wenxue Li ◽  
Diancheng Li ◽  
Yuwei Xin ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Survival Analysis ◽  
Mrna Expression ◽  
Differentially Expressed Genes ◽  
Expression Profiles ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Analysis Tool ◽  
Hub Genes ◽  
Normal Tissues

Abstract Background: Colorectal cancer (CRC) is one of the most common malignancies of the digestive system; the progression and prognosis of which are affected by a complicated network of genes and pathways. The aim of this study was to identify potential hub genes associated with the progression and prognosis of colorectal cancer (CRC).Methods: We obtained gene expression profiles from GEO database to search differentially expressed genes (DEGs) between CRC tissues and normal tissue. Subsequently, we conducted a functional enrichment analysis, generated a protein–protein interaction (PPI) network to identify the hub genes, and analyzed the expression validation of the hub genes. Kaplan–Meier plotter survival analysis tool was performed to evaluate the prognostic value of hub genes expression in CRC patients.Results: A total of 370 samples, involving CRC and normal tissues were enrolled in this article. 283 differentially expressed genes (DEGs), including 62 upregulated genes and 221 downregulated genes between CRC and normal tissues were selected. We finally filtered out 6 hub genes, including INSL5, MTIM, GCG, SPP1, HSD11B2, and MAOB. In the database of TCGA-COAD, the mRNA expression of INSL5, MT1M, HSD11B2, MAOB in tumor is lower than that in normal; the mRNA expression of SPP1 in tumor is higher than that in normal. In the HPA database, the expression of INSL5, GCG, HSD11B2, MAOB in tumor is lower than that in normal tissues; the expression of SPP1 in the tumor is higher than that in normal tissues. Survival analysis revealed that INSL5, GCG, SPP1 and MT1M may serve as prognostic biomarkers in CRC. Conclusions: We screened out six hub genes to predict the occurrence and prognosis of patients with CRC using bioinformatics methods, which may provide new targets and ideas for diagnosis, prognosis and individualized treatment for CRC.

scholarly journals Unique MicroRNA and mRNA Interactions in EGFR-Mutated Lung Adenocarcinoma

2018 ◽  
Vol 7 (11) ◽  
pp. 419 ◽  
Author(s):  
Sophia Subat ◽  
Kentaro Inamura ◽  
Hironori Ninomiya ◽  
Hiroko Nagano ◽  
Sakae Okumura ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Mrna Expression ◽  
Regulatory Network ◽  
Egfr Mutation ◽  
Expression Profiles ◽  
Integrative Analysis ◽  
Future Research ◽  
Mutation Status ◽  
Egfr Mutated ◽  
Insight Into

The EGFR gene was one of the first molecules to be selected for targeted gene therapy. EGFR-mutated lung adenocarcinoma, which is responsive to EGFR inhibitors, is characterized by a distinct oncogenic pathway in which unique microRNA (miRNA)–mRNA interactions have been observed. However, little information is available about the miRNA–mRNA regulatory network involved. Both miRNA and mRNA expression profiles were investigated using microarrays in 155 surgically resected specimens of lung adenocarcinoma with a known EGFR mutation status (52 mutated and 103 wild-type cases). An integrative analysis of the data was performed to identify the unique miRNA–mRNA regulatory network in EGFR-mutated lung adenocarcinoma. Expression profiling of miRNAs and mRNAs yielded characteristic miRNA/mRNA signatures (19 miRNAs/431 mRNAs) in EGFR-mutated lung adenocarcinoma. Five of the 19 miRNAs were previously listed as EGFR-mutation-specific miRNAs (i.e., miR-532-3p, miR-500a-3p, miR-224-5p, miR-502-3p, and miR-532-5p). An integrative analysis of miRNA and mRNA expression revealed a refined list of putative miRNA–mRNA interactions, of which 63 were potentially involved in EGFR-mutated tumors. Network structural analysis provided a comprehensive view of the complex miRNA–mRNA interactions in EGFR-mutated lung adenocarcinoma, including DUSP4 and MUC4 axes. Overall, this observational study provides insight into the unique miRNA–mRNA regulatory network present in EGFR-mutated tumors. Our findings, if validated, would inform future research examining the interplay of miRNAs and mRNAs in EGFR-mutated lung adenocarcinoma.

scholarly journals Integrative analysis of microRNA and mRNA expression profiles in non-small-cell lung cancer

2016 ◽  
Vol 23 (4) ◽  
pp. 90-97 ◽  
Author(s):  
C Yang ◽  
C Sun ◽  
X Liang ◽  
S Xie ◽  
J Huang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Mrna Expression ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Integrative Analysis ◽  
Small Cell Lung

scholarly journals Discovery and Validation of Circulating EVL mRNA as a Prognostic Biomarker in Pancreatic Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yan Du ◽  
Kai Yao ◽  
Qingbo Feng ◽  
Feiyu Mao ◽  
Zechang Xin ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Mrna Expression ◽  
Cox Regression ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Cancer Type ◽  
Mrna Levels ◽  
Plasma Samples ◽  
Patient Prognosis

Background. Circulating plasma mRNAs can be analyzed to identify putative cancer biomarkers. This study was conducted in an effort to detect plasma mRNA biomarkers capable of predicting pancreatic cancer (PACA) patient prognosis. Material and Methods. First, prognostic mRNAs that were differentially expressed in PACA in The Cancer Genome Atlas (TCGA) were established, after which microarray expression profiles from PACA patient plasma samples were utilized to specifically identify potential prognostic plasma mRNA biomarkers associated with this cancer type. In total, plasma samples were then collected from 79 PACA patients and 19 healthy controls to confirm differential mRNA expression via qPCR, while Kaplan–Meier analyses were used to examine the link between mRNA expression and patient overall survival. Results. In total, three prognostic differentially expressed genes were identified in PACA patient plasma samples, including SMAP2, PTPN6, and EVL (Ena/VASP-like). Plasma EVL levels were confirmed via qPCR to be correlated with tumor pathology p < 0.01 , while the overall survival of patients with low plasma EVL levels was poor p < 0.01 . Multivariate Cox regression analyses further confirmed that plasma EVL levels were independent predictors of PACA patient prognosis. Conclusion. We found that PACA is associated with the downregulation of plasma EVL mRNA levels, indicating that this mRNA may be a viable biomarker associated with patient prognosis.

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