anota2seq

anota2seq analyzes translational efficiency and differential expression to identify translation-level regulation from polysome-profiling and ribosome-profiling data comparing translated mRNA and total mRNA.

Key Features:

• Translational Efficiency Analysis: Adjusts for variations in total mRNA levels to identify transcriptome-wide changes in translational efficiency.
• Differential Expression Analysis: Performs differential expression analysis across multiple sample classes using data quantified from RNA sequencing or DNA microarrays.
• Polysome- and Ribosome-Profiling Support: Analyzes data derived from polysome-profiling and ribosome-profiling to separate translated mRNA from total mRNA.
• Translational Buffering Detection: Identifies instances of translational buffering where translation counteracts changes in mRNA abundance to stabilize protein output.
• Performance Superiority: Outperforms current methodologies in detecting changes in translational efficiency.

Scientific Applications:

• Translation Regulation Studies: Investigates how regulation of translation contributes to cellular homeostasis and responses to perturbations.
• Disease Mechanism Research: Studies disorders linked to dysregulated mRNA translation by distinguishing translational from transcriptional effects.
• Insulin and mTOR Signaling Analysis: Applied to examine the effects of insulin on gene expression, including mTOR-dependent pathways and mTOR-independent mechanisms involving translational buffering.
• Translatome Profiling: Enables interrogation of translatomes to reveal regulatory complexities at the level of protein synthesis.

Methodology:

Adjusts for total mRNA variation to identify changes in translational efficiency and performs differential expression analysis on data from RNA-seq or DNA microarrays derived from polysome- and ribosome-profiling.