RNA sequencing (RNA-Seq) is a powerful method for studying the transcriptome qualitatively and quantitatively. It can identify the full catalog of transcripts, precisely define the structure of genes, and accurately measure gene expression levels.
GENEWIZ provides unparalleled flexibility in the analysis of different RNA species (coding, non-coding, and small transcripts) from a wide range of starting material using long- or short-read sequencing. Inquire about CLIA RNA-Seq for clinical research.
Single-cell RNA sequencing analyzes gene expression at single-cell resolution for heterogeneous samples. The 10x Genomics® Chromium™ platform provides advanced transcriptional profiling of thousands of individual cells.
Ultra-low input RNA sequencing provides bulk expression analysis of samples containing as few as 10 pg of RNA or just a few cells. Recommended for sequencing cells after fluorescence-activated cell sorting (FACS).
Standard RNA sequencing is our most popular option for profiling gene expression, enabling the analysis of coding (mRNA) and long non-coding RNA (lncRNA).
Strand-specific RNA sequencing provides gene expression information with relation to strand orientation. Used for genome annotation, analysis of anti-sense/overlapping transcripts, and novel transcript discovery.
Small RNA sequencing enables analysis of miRNA and other small RNA species. Provides small RNA discovery and profiling.
Obtaining samples with high cell viability can be difficult for many experiments but is necessary for success on the 10x Genomics® Chromium™ platform. This tech note describes how GENEWIZ scientists used optimized single-cell workflows, including dead cell removal, to overcome low viability and generate high-quality sequencing data.
Biomedical specimens are often restricted to minute quantities, posing major limitations to RNA-Seq. This case study shows how approximately 50 sorted cells from a glioblastoma can produce transcriptomic data comparable to RNA-Seq experiments that use millions of cells.
Cell populations are rarely homogeneous and synchronized in their characteristics. Standard RNA-Seq approaches are limited to reporting general expression levels thus omitting minor subpopulation profiles. This study highlights new single-cell RNA sequencing capabilities for identifying rare cells, characterizing their transcriptomes, and discovering potential biomarkers.
Contiguous mRNA full-length sequencing (Iso-Seq) greatly simplifies genome annotation efforts and revolutionizes the discovery of novel RNA isoforms. This Tech Note discusses the advantages of the latest technologies combined with GENEWIZ’s optimized workflow, and how this increases output and accuracy.
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