Abstract

DIFFERENTIAL EXPRESSION ANALYSIS IN RNASEQUENCING DATA OF SACCHAROMYCES CEREVISIAE AFTER TREATMENT WITH METHYL METHANESULFONATE (MMS)

Meenakshi Lal, Sanjeev Ranjan* and Rashi Gupta

ABSTRACT

The transcriptome is the complete set of transcripts in a cell, and their quantity, for a specific developmental stage or physiological condition. Understanding the transcriptome is essential for interpreting the functional elements of the genome and revealing the molecular constituents of cells and tissues, and also for understanding development and disease.Translation of aberrant mRNAs induces ribosomal collisions, thereby triggering pathways for mRNA and nascent peptide degradation and ribosomal recycling.[1] Ribosome stalling is demonstrated by the local accumulation of ribosomes at specific codon positions of mRNAs. This study demonstrates a computational workflow for the detection of differentially expressed genes and pathways from RNA-Seq data by providing a complete analysis of an RNA-Seq experiment profiling Saccharomyces cerevisiae after treatment with Methyl methanesulfonate (MMS) on colliding ribosomes. The study shows the differentiated gene of paired-end (upregulated and downregulated gene), biological pathway enrichment and network analysis between the control and treated samples.

Keywords: RNA-Seq, Transcriptome, Differential expression.