Stranded Whole Transcriptome RNA‐Seq for All RNA Types

Stranded whole transcriptome RNA‐Seq described in this unit captures quantitative expression data for all types of RNA including, but not limited to, miRNA (microRNA), piRNA (Piwi‐interacting RNA), snoRNA (small nucleolar RNA), lincRNA (large non‐coding intergenic RNA), SRP RNA (signal recognition particle RNA), tRNA (transfer RNA), mtRNA (mitochondrial RNA), and mRNA (messenger RNA). The size and nature of these types of RNA are irrelevant to the approach described here. Barcoded libraries for multiplexing on the Illumina platform are generated with this approach but it can be applied to other platforms with a few modifications. © 2015 by John Wiley & Sons, Inc.

[1]  A. Gogbashian,et al.  Key References. , 2021, The heart surgery forum.

[2]  K. Nephew,et al.  Effects of the Endocrine-Disrupting Chemical DDT on Self-Renewal and Differentiation of Human Mesenchymal Stem Cells , 2014, Environmental health perspectives.

[3]  Haixu Tang,et al.  A new method for stranded whole transcriptome RNA-seq. , 2013, Methods.

[4]  P. McGettigan Transcriptomics in the RNA-seq era. , 2013, Current opinion in chemical biology.

[5]  Pauline M Rudd,et al.  New technologies and their impact on 'omics' research. , 2013, Current opinion in chemical biology.

[6]  Kunbin Qu,et al.  Selective Depletion of rRNA Enables Whole Transcriptome Profiling of Archival Fixed Tissue , 2012, PloS one.

[7]  O. Vitek,et al.  Developmental Changes in the Metabolic Network of Snapdragon Flowers , 2012, PloS one.

[8]  J. Seidman,et al.  High-throughput multiplex sequencing of miRNA. , 2012, Current protocols in human genetics.

[9]  Wenwei Zhang,et al.  Comprehensive analysis of RNA-Seq data reveals extensive RNA editing in a human transcriptome , 2012, Nature Biotechnology.

[10]  M. Gerstein,et al.  The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing , 2008, Science.

[11]  W. Gelbart,et al.  Predicting the sizes of large RNA molecules , 2008, Proceedings of the National Academy of Sciences.

[12]  Thomas D. Schmittgen,et al.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. , 2001, Methods.