PLX075626

GSE96747: Next Generation Sequencing Facilitates Quantitative Analysis of Murine Salivary Gland Transcriptomes

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

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. SOURCE: James,E.,Melvin National Institute of Dental and Craniofacial Research

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team