Linear mRNA amplification approach for RNAseq from limited amount of RNA.

Whole-transcriptome evaluation by next-generation sequencing (NGS) has been widely applied in the investigation of diverse transcriptional scenarios. In many clinical situations, including needle biopsy samples or laser microdissected cells, limited amounts of RNA are usually available for the assessment of the whole transcriptome. Here, we describe an mRNA amplification protocol based on in vitro T7 transcription for transcriptome evaluation by NGS. Initially, we performed RNAseq from two human mammary epithelial cell lines and evaluated several aspects of the transcriptomes generated by linear amplification of Poly (A)(+) mRNA species, including transcript representation, variability and abundance. Our protocol showed to be efficient with respect to full-length transcript coverage and quantitative expression levels. We then evaluated the applicability of using this protocol in a more realistic research scenario, analyzing tumor tissue samples microdissected by laser capture. In order to increase the quantification power of the libraries only the 3' end of transcripts were sequenced. We found highly reproducible RNAseq data among amplified tumor samples, with a median Spearman's correlation of 80%, strongly suggesting that the amplification step and library protocol preparation lead to a consistent transcriptional profile. Altogether, we established a robust protocol for assessing the polyadenylated transcriptome derived from limited amounts of total RNA that is applicable to all NGS platforms.

Poly (A)+ transcriptome assessment of ERBB2-induced alterations in breast cell lines.

We report the first quantitative and qualitative analysis of the poly (A)⁺ transcriptome of two human mammary cell lines, differentially expressing (human epidermal growth factor receptor) an oncogene over-expressed in approximately 25% of human breast tumors. Full-length cDNA populations from the two cell lines were digested enzymatically, individually tagged according to a customized method for library construction, and simultaneously sequenced by the use of the Titanium 454-Roche-platform. Comprehensive bioinformatics analysis followed by experimental validation confirmed novel genes, splicing variants, single nucleotide polymorphisms, and gene fusions indicated by RNA-seq data from both samples. Moreover, comparative analysis showed enrichment in alternative events, especially in the exon usage category, in ERBB2 over-expressing cells, data indicating regulation of alternative splicing mediated by the oncogene. Alterations in expression levels of genes, such as LOX, ATP5L, GALNT3, and MME revealed by large-scale sequencing were confirmed between cell lines as well as in tumor specimens with different ERBB2 backgrounds. This approach was shown to be suitable for structural, quantitative, and qualitative assessment of complex transcriptomes and revealed new events mediated by ERBB2 overexpression, in addition to potential molecular targets for breast cancer that are driven by this oncogene.