Applied Biosystems Launches Sequencing-Based Solution to Advance Whole Transcriptome Research
Product News Jun 23, 2009
Applied Biosystems has announced the launch of a new sequencing-based genomics tool to advance the analysis of whole transcriptomes.
The SOLiD Whole Transcriptome Analysis Kit is the latest addition to a suite of reagents optimized for use with the SOLiD System. This new kit enables detailed characterization of all expressed RNA in biological samples, allowing scientists to better understand a variety of cell types, such as stem cells and cancer cells.
The SOLiD Whole Transcriptome Analysis Kit are developed to provide researchers with an optimized, end-to-end solution that enables hypothesis-neutral analysis of gene expression profiles in the entire transcriptome; consisting of all the messenger RNA (mRNA) molecules (or transcripts) produced in a cell or population of cells; and combines best-in-class Ambion reagents, from Life Technologies’ Invitrogen brand, with the SOLiD System, Applied Biosystems’ leading platform for next-generation genomic analysis.
This solution is capable of generating the highest number of sequence reads per run, enabling researchers to analyze multiple samples in a single experiment, while maintaining the sensitivity to comprehensively characterize the transcriptome.
The detection of all known and novel RNA present in biological samples is critical to understanding biological response to stimuli or environmental changes. This ultra high-throughput, sequencing-based approach has numerous advancements over alternative methods.
Dr. Songnian Hu, Assistant Director at Beijing Institute of Genomics of the Chinese Academy of Sciences, “We recently utilized the whole transcriptome kit to sequence the entire transcriptome of mouse embryonic stem cells, and discovered that the sequencing-based method detected 30 % more genes than a traditional microarray approach. Our SOLiD System data provided insights into the molecular mechanism of embryonic stem cell pluripotency, which is critical to understanding the differentiation of specific cell types, including cancer cells.”