Salivary
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ABSTRACT:
PROVIDER: PRJNA841255 | ENA |
REPOSITORIES: ENA
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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:Background: The differential abundance of cell-free RNAs in bodily fluids is emerging as a promising tool for the non-invasive molecular diagnosis of cancer. Human saliva is considered a promising source of non-invasive biomarkers of diagnostic value for oral cancer detection. This study aims to identify diagnostic potent salivary RNAs in oral squamous cell carcinoma (OSCC)-patients by RNA-Sequencing. Method: Unstimulated saliva was collected from 5 normal control (NC) individuals and 9 OSCC patients (PS) with prior consent and ethical committee approvals. Total RNA isolated from cell-free saliva (CFS) supernatant was used to prepare small RNA libraries and sequenced on the Ion Torrent S5 platform. The sequencing reads were aligned to the human genome (hg19) using Bowtie 2, and the differential expression analysis was performed using RUVSeq and DESeq2. Mapped reads were screened across miRBase (v22) annotations for miRNAs and Gencode (v19) annotation for other RNAs. Reads were quantified by the Featurecount (v1.4.6) module of the R-package. The microbial-RNA enrichment analysis was determined using the One Codex platform. Result: RNA-sequencing detected protein-coding transcripts (PCTs), long-intergenic RNAs (lincRNAs), microRNAs (miRNAs), small nuclear RNAs (snRNAs), transfer RNAs (tRNAs) and pseudogenes from the saliva of PS and HC samples. Transcriptome analyses revealed 89 PCTs, 18 lincRNAs and 6 miRNAs differentially expressed between PS and HC with a log2fold change ≥ 1 or ≤ -1 and p-value < 0.05. Gene ontology and pathway enrichment analyses indicated a significant correlation of the identified PCTs and miRNAs to various cancer-related pathways that may have implications in the pathogenesis of OSCC. Interestingly, unmapped non-human reads aligned to the microbial reference genomes. Further analyses of these microbial sequence reads revealed a significant microbial dysbiosis differentiating PS from HC. Metabolic pathways and functional analysis of the identified microbial phylotypes showed gene ontologies associated with inflammation, cell proliferation, ROS generation, and a range of metabolic processes. Conclusion: We report novel panels of differentially expressed PCTs, miRNAs and lincRNAs distinguishing PS from HC. Importantly, our results also provide evidence for oral microbial dysbiosis that appears to have pathological implications in OSCC. Summarily, this study provides a comprehensive landscape of salivary RNAs that can be exploited as non-invasive biomarkers for OSCC detection.
2023-01-30 | GSE176077 | GEO
Project description:Salivary glands that produce and secret saliva, which is essential for lubrication, digestion, immunity, and oral homeostasis, consist of diverse cells. The long-term maintenance of diverse salivary gland cells in organoids remains problematic. Here, we established long-term murine salivary gland organoids from 3 major salivary glands, including parotid gland (PG), submandibular gland (SMG), and sublingual gland (SLG). Murine salivary gland organoids expressed gland-specific genes and proteins of acinar, myoepithelial, and duct cells. Organoids were maintained in growth media (named GEM) and further underwent differentiation in differentiation media (named DAM). Our study will provide an experimental platform for the exploration of mechanisms involvled in tissue regeneration, development, or several salivary gland diseases.
2022-05-05 | GSE184091 | GEO
Project description:The present study was aimed to identify aberrantly expressed lncRNAs involved in the progression of SjS and explore their potential functions. Labial salivary gland of 4 SjS patients and 4 healthy controls was collected. LncRNA expression profile in labial salivary gland was analyzed by LncRNA microarray.
2015-12-16 | GSE76013 | GEO