Solutions for Transcriptomics Studies

Whole Transcriptome Sequencing

Whole transcriptome sequencing or total RNA sequencing allows to profile gene expression of coding (mRNA) and long non-coding RNA (lncRNA) and enables identification of novel transcripts or splicing variants. This approach also allows transcriptome analysis of paraffin-embedded or degraded samples

Poly(A)-RNA Sequencing

Poly(A)-RNA sequencing allows to analyze all coding (mRNA) and non-coding (lincRNAs) polyadenylated transcripts of the transcriptome. This approach is recommended for identification of differentially expressed genes (DEGs) among different biological or experimental conditions.

Small RNA sequencing

Small RNA sequencing allows expression analysis of miRNA and other small RNA species. It also enables discovery of new miRNAs and small RNAs.

Ultra-Low Input RNA Sequencing

Ultra-Low input RNA sequencing provides genes expression analysis of samples containing ultra-low input RNA (10 pg) or just a few cells. This approach is recommended for gene expression analysis of small cell populations after fluorescence-activated cell sorting (FACS) or for sequencing of immunoprecipitated RNA (RIP-Seq).

Single Cell RNA Sequencing

Single-cell RNA sequencing aims to uncover the transcriptome diversity in heterogeneous sample. It allows to examine the transcriptomes of individual cells, providing a high-resolution view of cell-to-cell variation usually masked by bulk RNA sequencing.