Applied Biosystems has launched the Solid Whole Transcriptome Analysis Kit, a 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 optimised for use with the Solid system.
The kit enables detailed characterisation 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 provides researchers with an optimised, 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.
It combines Ambion reagents from Life Technologies' Invitrogen brand, with the Solid system, Applied Biosystems' platform for next-generation genomic analysis.
The solution is capable of generating the highest number of sequence reads per run, enabling researchers to analyse multiple samples in a single experiment, while maintaining the highest levels of sensitivity to comprehensively characterise 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, such as traditional DNA microarrays, which are unable to detect RNA transcripts expressed at low levels, novel RNA transcripts or splice variants.
This approach to transcriptome analysis is being utilised by a team of scientists at the Beijing Institute of Genomics of the Chinese Academy of Sciences.
The researchers are using nine Solid systems to explore the expression profiles of multiple tissues and cells from humans, mice, rice and microbes.
The kit provides researchers insight into biological pathways and molecular mechanisms that regulate cell-fate decision, development and disease progression.
