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Background Chickens play a crucial role as the primary global source of eggs and poultry, and the quality of rooster semen significantly impacts poultry reproductive efficiency. Therefore, it is imperative to comprehend the regulatory mechanisms underlying sperm development. Results In this study, we established transcriptome profiles of lncRNAs, miRNAs, and mRNAs in 3 testis tissues and 3 epididymis tissues from “Jing Hong No.1” roosters at 24, 35, and 64 weeks of age. Using the data, we conducted whole transcriptome analysis and constructed a ceRNA network. We detected 10 differentially expressed mRNAs (DEmRNAs), 33 differentially expressed lncRNAs (DElncRNAs), and 10 differentially expressed miRNAs (DEmiRNAs) in the testis, as well as 149 DEmRNAs, 12 DElncRNAs, and 10 DEmiRNAs in the epididymis. These genes were found to be involved in cell differentiation and development, as well as various signaling pathways such as GnRH, MAPK, TGF-β, mTOR, VEGF, and calcium ion pathways. Subsequently, we constructed two competing endogenous RNA (ceRNA) networks comprising DEmRNAs, DElncRNAs, and DEmiRNAs. Furthermore, we identified four crucial lncRNA-mRNA-miRNA interactions that govern specific biological processes in the chicken reproductive system: MSTRG.2423.1-gga-miR-1563- PPP3CA and MSTRG.10064.2-gga-miR-32-5p- GPR12 regulating sperm motility in the testis; MSTRG.152556.1-gga-miR-9-3p- GREM1 / THYN1 governing immunomodulation in the epididymis; and MSTRG.124708.1-gga-miR-375- NDUFB9 / YBX1 controlling epididymal sperm maturation and motility. Conclusions Whole transcriptome sequencing of chicken testis and epididymis screened several key genes and ceRNA regulatory networks, which may be involved in the regulation of epididymal immunity, spermatogenesis and sperm viability through the pathways of MAPK, TGF-β, mTOR, and calcium ion. These findings contribute to our comprehensive understanding of the intricate molecular processes underlying rooster spermatogenesis, maturation and motility. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-024-10836-8.
Background Chickens play a crucial role as the primary global source of eggs and poultry, and the quality of rooster semen significantly impacts poultry reproductive efficiency. Therefore, it is imperative to comprehend the regulatory mechanisms underlying sperm development. Results In this study, we established transcriptome profiles of lncRNAs, miRNAs, and mRNAs in 3 testis tissues and 3 epididymis tissues from “Jing Hong No.1” roosters at 24, 35, and 64 weeks of age. Using the data, we conducted whole transcriptome analysis and constructed a ceRNA network. We detected 10 differentially expressed mRNAs (DEmRNAs), 33 differentially expressed lncRNAs (DElncRNAs), and 10 differentially expressed miRNAs (DEmiRNAs) in the testis, as well as 149 DEmRNAs, 12 DElncRNAs, and 10 DEmiRNAs in the epididymis. These genes were found to be involved in cell differentiation and development, as well as various signaling pathways such as GnRH, MAPK, TGF-β, mTOR, VEGF, and calcium ion pathways. Subsequently, we constructed two competing endogenous RNA (ceRNA) networks comprising DEmRNAs, DElncRNAs, and DEmiRNAs. Furthermore, we identified four crucial lncRNA-mRNA-miRNA interactions that govern specific biological processes in the chicken reproductive system: MSTRG.2423.1-gga-miR-1563- PPP3CA and MSTRG.10064.2-gga-miR-32-5p- GPR12 regulating sperm motility in the testis; MSTRG.152556.1-gga-miR-9-3p- GREM1 / THYN1 governing immunomodulation in the epididymis; and MSTRG.124708.1-gga-miR-375- NDUFB9 / YBX1 controlling epididymal sperm maturation and motility. Conclusions Whole transcriptome sequencing of chicken testis and epididymis screened several key genes and ceRNA regulatory networks, which may be involved in the regulation of epididymal immunity, spermatogenesis and sperm viability through the pathways of MAPK, TGF-β, mTOR, and calcium ion. These findings contribute to our comprehensive understanding of the intricate molecular processes underlying rooster spermatogenesis, maturation and motility. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-024-10836-8.
Background Recently researches have reported that miRNA and its target genes are associated with osteoporosis. MiRNAs/mRNA axis might be an potential diagnostic marker for osteoporosis. Purposes The aim of this study is to explore the potential miRNA and mRNA markers by bioinformatics method and clinical analysis. Patients and Methods The miRNA expression profiles were obtained from GSE74209, GSE64433 and GSE115773 in Gene expression Omnibus (GEO). The mRNA expression profiles were obtained from GSE100609. Wayne intersection were used to explore the different expressed miRNAs (DE-miRs). Select the miRNA with the highest Fold Change for subsequent research. Screening of miRNA target genes using TargetScan and miRDB tools. GO and KEGG analyses of target genes (TGs) function were performed. Validate the selected TGs in the GSE100609. We collected female patients with femural intertrochanteric fractures from July 1, 2023 to October 31, 2023. Patient's bone marrow and clinical data were collected. MiRNA and the target mRNA differentially expressed in bone marrow were verified through RT-qPCR. All data were subjected to Shapiro-Wilk test. Using Pearson or Spearman test to detect the correlation between various indicators, and then incorporating indicators related to bone density into multiple linear regression equations. Partial correlation analysis was used to analyze the correlation between the final indicators and bone density. Results A total of 140 DE-miRs were identified between high bone density and low bone density women. Set the fold change to “>1” and ultimately include 5 miRNAs. Using miR-595 (highest |log2 FC|) as the subject of subsequent research. 3542 targeted mRNAs were predicted from TargetScan and 362 were from miRDB. 337 TGs were intersected, which were mainly enriched in nucleus. Only Cldnd1 were identified using the GSE100609 dataset. We found that miR-595 was highly expressed in patients with high bone mass, while its target gene Cldnd1 was downregulated. There was a strong collinearity between miR-595 and Cldnd1. Further multiple linear regression analysis showed a high correlation between miR-595 and bone density. Conclusions These data suggest that Cldnd1 might be a downstream factor of miR-595. miR-595/Cldnd1 axis might be an independent risk factor for decreased bone mass.
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