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Seq-Star™ rRNA Removal Kit

Seq-Star™ rRNA Removal (H/M/R) Kit uses an enzymatic method to remove the highly abundant rRNAs in the total RNA for NGS RNA-seq library preparation. Both cytoplasmic (5S, 5.8S, 18S, 28S) and mitochondrial (12S and 16S) ribosomal RNAs from human, mouse and rat total RNA samples are efficiently depleted. The kit is particularly suitable for either intact or degraded RNA samples

Benefits
 High rRNA depletion efficiency
 Enrichment of both polyadenylated RNAs (e.g. mRNA) and non-polyadenylated RNAs (e.g. many long non-coding RNAs)
 rRNA removal for both intact and degraded RNA samples (e.g. FFPE RNA)
 rRNA-depleted RNAs convenient purified and collected by the magnetic beads in the kit
 Simple and fast operating procedure

Product NameCatalog No.SizePrice
Seq-Star™ rRNA Removal KitAS-MB-00112 reactions$487.00

Seq-Star™ rRNA Removal (H/M/R) Kit uses an enzymatic method to remove the highly abundant rRNAs in the total RNA for NGS RNA-seq library preparation. Both cytoplasmic (5S, 5.8S, 18S, 28S) and mitochondrial (12S and 16S) ribosomal RNAs from human, mouse and rat total RNA samples are efficiently depleted (Figure 1).
Compared with mRNA enrichment by oligo(dT), Seq-Star™ rRNA Removal (H/M/R) Kit selectively digests rRNAs while retaining polyadenylated mRNAs and non-polyadenylated RNA transcripts (such as many long non-coding RNAs and antisense transcripts).
Compared with rRNA removal by oligonucleotide capture on solid phase, Seq-Star™ rRNA Removal (H/M/R) Kit is capable of removing even the fragmented rRNAs in degraded total RNAs. Therefore the kit is particularly suitable for either intact or degraded RNA samples (e.g. FFPE RNA).

rRNA_Removal_rate

Figure1.RNA-seq results generated from intact or FFPE samples by Seq-Star™ rRNA Removal (H/M/R) Kit.

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Immunophenotyping and transcriptional profiling of in vitro cultured human adipose tissue derived stem cells. Mieczkowska A, et al. Scientific reports, 2018

circRNA_100290 plays a role in oral cancer by functioning as a sponge of the miR-29 family. Chen L, et al. Oncogene, 2017

Systematic identification and comparison of expressed profiles of lncRNAs and circRNAs with associated co-expression and ceRNA networks in mouse germline stem cells. Li X, Ao J, Wu J. Oncotarget, 2017

Integrative analysis for the role of long non-coding RNAs in radiation-induced mouse thymocytes responses. Hui Gao, et al. Acta Biochimica et Biophysica Sinica, 2017