Transcriptome profiling: methods and applications- A review

Global transcriptional profiling is a powerful tool that can expose expression patterns to define cellular states or to identify genes with similar expression patterns. In recent years, transcriptome profiling has been widely used to understand the genetic regulation of a particular cell type. Transcriptome is defined as a full range of messenger Ribonucleic acid (RNA) molecule expressed by an organism. In other words a transcriptome represents the small percentage of genetic code that is transcribed into RNA molecules. It can offer valuable information on the significant biological processes behind the maintenance of the functionality of the cell. Transcriptomics provides fundaments for more definitively designed studies and guidance to select the genes for functional studies. The technology for the study of the transcriptome is not dependent on any prior knowledge of the genes expressed in the cells. However, with regards to the administration and interpretation of the enormous data provided by transcriptome profiling challenges remain.. Four methods have been reviewed here that is, Microarray technology, Serial Analysis of Gene Expression (SAGE), RNA sequencing (RNA-Seq) and Massively Parallel Signature Sequencing (MPSS). The use of these technologies to analyse the expressed transcripts in several prokaryotic and eukaryotic genomes has revealed the high complexity of transcriptomes.

MPSS profiling of embryonic gonad and primordial germ cells in chicken

The massively parallel signature sequencing (MPSS) provides a greater depth of coverage than expressed sequence tag scan or microarray and provides a comprehensive expression profile. We used the MPSS technology to uncover gene expression profiling in the early embryonic gonads and primordial germ cells (PGCs) in the chicken. Total numbers of sequenced signatures were 1,012,533 and 995,676 for the PGCs and gonad, respectively. Using a noise distribution model, we found that 1.67% of all signatures are expressed at a higher level in PCGs and 2.81% of all signatures are expressed at a higher level in the gonad. The MPSS data are presented via an interactive web interface available at http://snugenome.snu.ac.kr/MPSS . The MPSS data have been submitted to the Gene Expression Omnibus of the National Center for Biotechnology Information (accession number GSM137300 and GSM137301 for PGCs and gonad, respectively).