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RNA sequencing methods are available to match your project goals for gene expression, detection of alternative gene expression, splicing, and budget.
mRNA sequencing | Whole-transcriptome sequencing | |
Applications |
|
|
Reads per sample (millions) | 30 | 60 |
Hands-on time (hours) | 1.5 | 3.5 |
Total time (hours) | 4.5 | 6.5 |
Input range | 1–25 ng** | 100–1000 ng |
FFPE compatible? | Yes | Yes |
Species compatibility | All |
* Inputs of >200 ng are recommended for efficient detection of low abundance transcripts.
** rRNA depleted or mRNA enriched RNA
Total RNA-Seq offers the most comprehensive whole transcriptome analysis. mRNA-Seq is ideal if the research is focused only on the coding region and limited amounts of starting material are available.
Variation in RNA-seq expression data can be attributed to a variety of factors ranging from the quality of the starting material to the person performing the experiment. The External RNA Controls Consortium (ERCC), an ad-hoc group of academic, private, and public organizations hosted by the National Institute of Standards and Technology (NIST), developed a common set of external RNA controls to distinguish between these sources of variability and true gene expression. The controls consist of a set of unlabeled, polyadenylated transcripts designed to be added to an RNA sequencing experiment after sample isolation in order to measure against defined performance criteria.
The Invitrogen ERCC Spike-In Mix is a pre-formulated blend of 92 transcripts, derived and traceable from NIST-certified DNA plasmids. The transcripts mimic natural eukaryotic mRNAs of 250 to 2,000 nt in length. Inclusion of ERCC controls in RNA sequencing experiments establishes a standard measure for data comparison across gene expression experiments and makes it possible to measure sensitivity (lower limit of detection) and dynamic range of an experiment.