Transfected Stable Cell Lines
Reliable | High-Performance | Wide Rage
Precision reporter, kinase, immune receptor, biosimilar, Cas9, and knockout stable cell lines for diverse applications.
Cat. No. : DSPK-11
| Cat. No. | DSPK-11 |
| Description | Whole RNA-seq Sample Prep Kit is designed for the preparation of stranded transcriptome libraries for next generation sequencing (NGS) platforms of Illumina. The kit contains enzymes and buffers which enable to depletion of ribosomal RNA (rRNA), including 28S rRNA, 18S rRNA, 5.8S rRNA, 5S rRNA, 16S rRNA and 12S rRNA, leaving mRNA and other non-coding RNA behind. This kit is suitable for non-coding RNA analysis such as lncRNA, CircRNA, etc. |
| Sample Type | Total RNA of human, mouse, or rat. |
| Features |
• Using rRNA depletion module (H/M/R), which can effectively remove rRNA from total RNA • Suitable for strand-specific mRNA-seq • Good results can also be obtained from degraded RNA samples (e.g. FFPE RNA) • Using truncated RNA adapters which exhibit better ligation efficiency and fewer adapter dimmers • High quality and reliable performance |
| Storage | All components of this kit should be stored at -20 °C. |
A: In general, we recommend 5-10 million reads per sample for small genomes (e.g. bacteria) and 20-30 million reads per sample for large genomes (e.g. human, mouse). Medium genomes are often project dependent, but we typically recommend 15-20 million reads per sample.
A: First, small transcripts can be more difficult to count due to the standard size selection implemented during the construction of RNAseq libraries. Second, in some cases, two different genes have overlapping transcripts.
A: In all RNA-seq experiments, a library of cDNA fragments ligated to adapters must be synthesized for successful sequencing.
A: Applications for RNA-Seq are wide ranging, from basic research on cellular structure and function to the analysis of various disease states in clinical samples. For example, gene expression patterns can be compared before and after therapeutic interventions for the presence of a disease.
A: Total RNA-Seq requires more sequencing data (typically 100–200 million reads per sample), which will increase the cost compared to mRNA-Seq.
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The streamlined RNA fragmentation-free protocol generates ready-to-sequence libraries in 4.5 hours.
Whole RNA-seq Sample Prep Kit can generate transcriptome-wide smooth and uniform read coverage.
Whole RNA-seq Sample Prep Kit is suitable for challenging samples (including FFPE RNA).
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