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RNA-seq based transcriptomic map reveals new insights into mouse salivary gland development and maturation
Christian Gluck1, Sangwon Min2, Akinsola Oyelakin2
1Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, 14203, USA.
BMC Genomics
|November 18, 2016
Summary
This study utilized RNA-sequencing to map the salivary gland (SG) transcriptome in mice, revealing novel genes and pathways critical for SG development and function. The findings provide a valuable resource for understanding SG biology and disease.
Area of Science:
- Developmental Biology
- Genomics
- Molecular Biology
Background:
- Mouse models are crucial for studying Salivary Gland (SG) biology and disease.
- Previous gene expression profiling used microarray technology, limiting transcriptional complexity analysis.
- RNA-sequencing (RNA-seq) offers superior detection of transcripts and differential gene expression compared to microarrays.
Purpose of the Study:
- To generate a comprehensive gene expression profile of the mouse SG across development using RNA-seq.
- To identify novel molecular players and pathways involved in SG biology and function.
- To compare the mouse SG transcriptome with other tissues and the human SG transcriptome.
Main Methods:
- RNA isolation from mouse submandibular SGs at various embryonic and adult stages.
- Processing of RNA-seq data from 24 mouse organs via the ENCODE consortium.
- Bioinformatic analyses including functional gene enrichment, network construction, and hierarchal clustering.
Main Results:
- A high-resolution transcriptomic landscape of the mouse SG was generated.
- Novel transcription factors and signaling pathways unique to SG biology were identified.
- The mouse SG gene signature was found to be conserved in the human SG transcriptome.
Conclusions:
- The RNA-seq based Atlas provides a dynamic view of the mouse SG transcriptome.
- This resource complements existing microarray data, offering a systems-biology perspective.
- The findings will aid in understanding SG cell organization and control during development and differentiation.
