Salivary
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA841255 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Human Salivary Microbiota Raw sequence reads
| PRJNA1499931 | ENA
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular functions. The goal of this study is to compare NGS-derived salivary gland transcriptome profilings (RNA-seq) to better understand the molecular nature of the physiological differences in adult murine salivary glands. Methods: Major murine salivary gland mRNA profiles were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000. The sequence reads that passed quality filters were analyzed at the gene level with STAR followed by Cufflinks. In vivo NaCl reabsorption measurements were performed for validation. Results: Using an optimized data analysis workflow, we mapped about 15 million sequence reads per sample to the mouse genome (build mm10) and identified 1991 genes that were differentially expressed across three major salivary glands. RNA-seq data provided valuable insights into the nature of the functional differences among the major salivary glands Conclusions: Our study represents the first detailed analysis of murine salivary gland transcriptomes, with biologic replicates, generated by RNA-seq technology. Our results confirm functions of many genes, identified using genetically modified mice. We conclude that RNA-seq-based transcriptome characterization would offer a comprehensive and sensitive evaluation of the gene expression.
2018-02-28 | GSE96747 | GEO
Project description:Morus alba L. Raw protein sequence reads and sequence
2024-02-08 | PXD049451 |
Project description:To screen miRNAs for potential NDRG2 regulation, we performed micronome profiling in 3 pairs of SACC samples and the corresponding normal salivary glands. The sequencing analysis generated approximately 1,000,000 clean reads per sample. All reads were mapped to annotated miRNAs in the miRBase database (version 22), whereas approximately 45% of the clean reads were mapped to mature miRNAs in the database. After applying a stringent filtering criterion to compare the results from SACC tumor tissue and the adjacent normal salivary glands (log2 fold change >1, FDR<0.05), we identified 176 dysregulated miRNAs.
2018-12-25 | GSE117275 | GEO
Project description:Human salivary microbial community diversity in AIDS patients Raw sequence reads
| PRJNA843902 | ENA
Project description:Human Gut and Salivary microbiome Raw sequence reads
| PRJNA938411 | ENA
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular functions. The goal of this study is to compare NGS-derived salivary gland transcriptome profilings (RNA-seq) to better understand the molecular changes in adult sublingual glands in the absence of the Nkx2.3 transcription factors. Methods: Female sublingual salivary gland mRNA profiles were generated by deep sequencing, in 4 replicates for Nkx2.3 knockout mice, using Illumina. The sequence reads that passed quality filters were analyzed at the gene level with STAR followed by DESeq2. Results: Using an optimized data analysis workflow, we mapped about 20 million sequence reads per sample to the mouse genome (build mm9) and identified 496 genes that were differentially expressed between the wildtype and Nkx2.3-knockout murine female sublingual salivary glands . RNA-seq data provided valuable insights into the nature of the functional differences resulting from the Nkx2.3 disruption Conclusions: Our study represents the first detailed analysis of sublingal salivary gland transcriptome profiling differences resulting from the Nkx2.3 disruption, with biologic replicates, generated by RNA-seq technology. Our results confirmed functions of many previously studied genes. We conclude that RNA-seq-based transcriptome characterization would offer a comprehensive and sensitive evaluation of the gene expression.
2023-01-31 | GSE168253 | GEO
Project description:Tabanus nipponicus is a hematophagous insect species with high activity in summer, and its salivary gland secretions play a critical role in mediating successful blood-feeding. In this study, pooled salivary gland samples from three T. nipponicus individuals collected during peak summer activity were used for RNA-seq analysis. Total RNA was extracted under sterile and low-temperature conditions prior to sequencing. Paired-end sequencing generated 45,310,280 raw reads, with 88.75% of reads successfully mapped. De novo assembly yielded 35,175 unigenes, which were aligned to the Swiss-Prot database to obtain UniProt IDs. These IDs were mapped to the GO database, and classified into three GO categories; functional annotation revealed enrichment in metabolic, membrane-related biological processes, and binding/catalytic molecular activities, which underpin the synthesis and secretion of anticoagulant saliva components essential for blood-feeding adaptation and microbial stress resistance. Alignment with the KEGG database identified KEGG IDs, with unique KOs following mapping, and subsequent KEGG enrichment analysis was performed. This high-quality transcriptomic dataset represents the first gene expression profile for T. nipponicus, and builds on previous experimental foundations to provide valuable insights into key physiological processes in tabanids, including anticoagulant, blood meal digestion, antioxidant defense, mammalian host immune interaction, and microbial resistance.
2026-02-15 | GSE319147 | GEO
Project description:salivary microbiota from human and gut microbiota from mice Raw sequence reads
| PRJNA1284759 | ENA