RNA & Transcriptome Sequencing
![]() A detailed understanding of the RNA content (coding and non-coding) in a given cell or cell sample is invaluable for the understanding of differential expression in normal and disease processes. While microarray-based profiling has been successful at elucidating the spatiotemporal patterns of transcripts within cells and tissues, the technique suffers from significant shortcomings, such as low specificity, sensitivity, and dynamic range, which reduce accuracy. Perhaps more importantly, microarrays restrict expression profiling results to specific annotations and content. Sequencing approaches avoid these weaknesses to give a more quantitative view of the RNA population within a cell by providing higher sensitivity and a broader dynamic range—and a hypothesis-neutral approach. Interrogate a cell’s whole transcriptome, small RNA content, or tag-based gene expression profile using SAGE™ technology on the sequencing platform of your choice. |
| Whole Transcriptome Analysis Strand specific, hypothesis-free identification and quantification of both known and novel transcripts with a theoretically unlimited dynamic range. | Gene Expression Profiling Determine relative changes in expression levels without the need to sequence the entire transcriptome. | |||
| Small RNA Analysis Small RNA Analysis of all known and novel small RNA transcripts in a strand specific, hypothesis-free fasion. |
