Screening potential microRNAs associated with pancreatic cancer: Data mining based on RNA sequencing and microarrays
Pancreatic cancer is a malignant tumor of the digestive tract, rendering it difficult to make an accurate diagnosis. 5-year survival rate for pancreatic cancer is <1%, and surgical resection is rarely proven to be effective. Therefore, the identification of more effective methods for early detection of pancreatic cancer is an urgent need.
This study aims to explore key genes and microRNAs (miRNAs) associated with the pathogenesis of pancreatic cancer. public databases were searched, and the integrated data from The Cancer Genome Atlas and Gene Expression Omnibus database, which leads to the identification of 23 miRNAs that are expressed differently (DE-miRNA). Four of DE-regulated miRNAs (miR-892b-HSA, HSA-miR-194-2, miR-200a-HSA and HSA-miR-194-1), while the DE-19 downregulated miRNA (hsa- Mirza 424, HSA-mir-191, mir-484-HSA, HSA-miR-142, miR-15b-HSA, HSA-miR-450A-1, HSA-mir-423, mir-126-HSA, hsa- Mirza 505, HSA-miR-16-1, HSA-miR-342, miR-130A-HSA, HSA-miR-3613, HSA-miR-450A-2, HSA-miR-26b, miR-451-HSA, HSA- miR-19b-2, HSA-miR-106A and HSA-miR-503) were identified using a cut-off criteria of P <0.05 and | log 2FC |> 1.0. Hsa-miR-3613-5p identified as prognostic DE-miRNA.
Functional enrichment analysis showed that the target gene HSA-miR-3613-5p may be related to p53 signaling pathway. survival analysis performed for the genes in the p53 signaling pathway revealed that the cyclin-dependent kinase 6 and ribonucleoside-diphosphate reductase M2 subunit might be most likely associated with prognostic value. integrated analysis performed in this study shows that the HSA-miR-3613-5p can be used as a potential prognostic marker for pancreatic cancer. Through our research, we have identified general and specific types of miRNA markers and built accurate network-based classifier miRNA, furthering our understanding of the diversity of Nen.
Screening potential microRNAs associated with pancreatic cancer: Data mining based on RNA sequencing and microarrays
Phylogenomic Relationships and Evolution of polyploid species Salix RAD Revealed by Sequencing Data
Polyploidy is common in the genus Salix. However, little is known about the origin, ancestry and polyploid genomes of species composition due to lack of suitable molecular markers and analysis tools.
We established a framework phylogenomic including all species of willow bushes described parts of Eurasia. We analyze the composition of the genomes of seven species of willow polyploid compared to the parental diploid species suspected to draw conclusions about their origins and effects of backcrossing and evolution of post-origin.
We applied recently developed programs such as Snapp, Hyde, and SNiPloid to build a bioinformatics pipeline to unravel the complexity of polyploid genomes. RAD sequencing revealed 23 393 320 010 SNP loci and high quality for analysis of the relationship of 35 species Eurasian shrub willow (Salix subg. Chamaetia / Vetrix). willow species seemed dominated polyploid origin allopolyploid.
Allopolyploidization more ancient events were observed during the two hexaploid and one species octoploid, whereas our data suggest more recent origin for tetraploids allopolyploid including parental taxa and identifying suspected. SNiPloid analysis parse different genomic signatures generated from hybrid origin, backcrossing, and the evolution of post-secondary origin in polyploid species. Our RAD sequencing data indicate that willow genome evolution shaped by ancient and recently reticulate, polyploidization, and post-native species differences.
