SeqCap lncRNA Enrichment Kit

Overview

SeqCap® lncRNA Enrichment Kits capture 17 Mb of long non-coding RNA (lncRNA) human targets (hg19 annotation), representing 32,808 lncRNA and TUCP (transcripts with unknown coding potential) lncRNA transcript isoforms and are available in 4, 48 and 384 reaction sizes

Long non-cdoing RNA is >200 nt, is quite abundant and has been reported to be associated with various diseases and biological processes.1,2,3,4,5  SeqCap lncRNA Enrichment Kits are designed to selectively capture lncRNAs to enable targeted study of this common, but not well understood component of the human transcriptome. This allows you to investigate developmental regulation, tissue- and cell-type specificity, and the role of lncRNA in disease.

Sources for the design are the Human Body Map Catalog and Gencode v19.

 

Benefits of SeqCap lncRNA Enrichment Kit

  • Selectively target lncRNAs and achieve exceptional* depth and sensitivity for rare transcript detection
  • Maximize the discovery and characterization of transcript variants and isoforms

Product Highlights

Greater isoform discovery compared to RNA-Seq

  • 5–20 times more lncRNAs, exceeding the FPKM cutoff values compared to RNA-Seq
  • Enhanced sensitivity to a greater number of transcript isoforms

File Descriptions

The folder contains these three files:

  • 140529_HG19_lnc_RNA_primary_targets.bed: This file contains primary target intervals along with associated annotation IDs in BED format
  • 140529_HG19_lnc_RNA_capture_targets.bed: This file contains capture target intervals along with associated annotation IDs in BED format. The coordinates listed here correspond to locations where capture probes were actually designed and placed
  • 140529_HG19_lnc_RNA_coverage_summary.txt: This file contains information regarding the statistics of probe coverage and capture regions
  • ERCC_controls.bed: This file contains the ERCC controls in BED format
  • ERCC_controls.fa: This FASTA file contains the sequences of the ERCC controls
  • The BED files can be opened using SignalMap software

References

1.       Wapinsky and Chang, Trends Cell Biol. 2011. Long noncoding RNAs and human disease.

2.       Wang J et al. Oncotarget. 2017. Dysregulation of long non-coding RNA in breast cancer: an overview of mechanism and clinical implication.

3.       Majidinia M et al. Mol Biol Rep. 2016. The roles of non-coding RNAs in Parkinson's disease.

4.       Viereck J and Thum T. Circ Res. 2017. Circulating Noncoding RNAs as Biomarkers of Cardiovascular Disease and Injury.

5.       Fan YH et al. Clin Chim Acta, 2017. Long noncoding RNA activated by TGF-β in human cancers: A meta-analysis.

  *Data on file.

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Reagents and accessories are available separately.