Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

Area of Science:

• Genomics
• Transcriptomics
• Molecular Biology

Background:

• The mouse genome's transcribed regions are incompletely understood.
• Identifying full-length messenger RNA (mRNA) transcripts is crucial for functional genomics.
• A global effort aims to catalog mouse mRNA transcripts and create physical clone collections.

Purpose of the Study:

• To manually annotate a large set of full-length mouse complementary DNA (cDNA) sequences.
• To establish a comprehensive mouse transcriptome database.
• To characterize the diversity and complexity of mouse transcriptional units.

Main Methods:

• Manual annotation of 60,770 full-length mouse cDNA sequences.
• Clustering of cDNA sequences into transcriptional units.
• Whole-transcriptome analysis to identify transcript features and interactions.

Main Results:

• Annotation yielded 33,409 transcriptional units, representing 90.1% of a new mouse transcriptome database.
• Identified 4,258 new protein-coding and 11,665 new non-coding messages, highlighting non-coding RNA's importance.
• Observed alternative splicing in 41% of units, with 79% altering protein products in coding transcripts; 2,431 sense-antisense pairs were found.

Conclusions:

• This work provides the most extensive mammalian transcriptome survey to date, fully supported by physical clones.
• The findings underscore the significant contribution of non-coding RNA and alternative splicing to transcriptome complexity.
• The comprehensive dataset serves as a valuable resource for future functional genomics research in mammals.