UnoSeq

UnoSeq performs expression profiling and gene discovery from Illumina mRNA-seq next-generation sequencing (NGS) data in organisms lacking well-annotated reference genomes.

Key Features:

• Java library implementation: Provided as a Java library for programmatic analysis of NGS expression data.
• Illumina mRNA-seq support: Specifically leverages Illumina mRNA-seq data for transcriptome analysis.
• Novel bioinformatics pipeline: Integrates assembled and annotated sequences from model organisms with information from related species to support analysis without a reference genome.
• Application to CHO cells: Applied to Chinese hamster ovary (CHO) cells, including analysis under butyrate treatment, identifying sequences for over 13,000 genes.
• Novel gene discovery: Added sequence information for approximately 5,000 novel genes to the CHO model.
• Transcript completeness prediction: Predicted more than 6,000 transcript sequences to be complete, covering over 95% of their corresponding mouse orthologs.
• Biological function analysis: Enables analysis of specific functions such as DNA replication and cell cycle control from expression data.

Scientific Applications:

• Expression profiling in non-reference organisms: Facilitates transcriptome characterization where genome or transcriptome annotations are incomplete or absent.
• CHO cell research: Supports gene discovery and expression analysis in CHO cells relevant to recombinant protein production and cell cycle studies.
• Biotechnology and therapeutic protein production: Provides genetic and expression insights applicable to optimization of therapeutic protein expression systems.

Methodology:

Combines Illumina mRNA-seq data with a bioinformatics pipeline that integrates assembled and annotated sequences from related organisms to assemble and annotate transcripts in the absence of a complete reference genome.