Cell populations are rarely homogeneous and synchronized in their characteristics. Single-cell RNA sequencing aims to uncover the transcriptome diversity in heterogeneous samples. Recent advances in microfluidics and molecular barcoding have made the transcriptional profiling of tens of thousands of individual cells cost-effective and easy to interpret.
GENEWIZ Single-Cell RNA-Seq utilizes the latest technology on the market: the 10x Genomics® Chromium™ system and Illumina® NovaSeq™ 6000. As an early adopter of these platforms, our optimized workflows—including pre-submission cryopreservation and post-submission dead cell removal— maximize project flexibility, speed, and data accuracy.
For bulk expression analysis of samples with picograms of RNA or just a few cells, use our Ultra-Low Input RNA-Seq service. Not sure which service is right for you? See our FAQ.
RNA PROFILING AT SINGLE-CELL RESOLUTION
1. Cell Partitioning
Cells and barcoded beads are isolated in oil droplets using the 10x Genomics Chromium
2. Library Preparation
Reverse transcription incorporates cell- and transcript-specific barcodes
Barcoded libraries are pooled and sequenced on the Illumina platform
4. Data Analysis
Visualize results through interactive software and receive custom analysis
Features & Benefits
Early adopter of 10x Genomics Chromium with optimized workflows that maximize project flexibility, speed, and data accuracy
Highest throughput sequencing platforms, including the Illumina NovaSeq 6000, provide cost-effective single-cell solutions
Samples accepted at different stages of the 10x workflow - cells, Gel Beads in Emulsion (GEMs), and 10x barcoded cDNA libraries
*NEW* Dead cell removal improves data quality, especially for projects with suboptimal samples (learn more)
Proprietary cell freezing protocol maintains cell viability during transit and provides a convenient method to ship samples
Interactive analysis report provides an intuitive way to explore the data and find biological insights
Tech Note: Add More Life to Your Data: Optimizing Single-Cell RNA-Seq with Dead Cell Removal
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.
Case Study: Single-Cell RNA-Seq Analysis Identifies Rare Drug-Resistant Cancer Stem 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.
Webinar: Advancements to the 10x Genomics Chromium™, Single-Cell RNA-Seq System
In this webinar, we review how recent advancements of the 10x Genomics Chromium™ system, coupled with GENEWIZ developmental efforts, can benefit the researcher. In addition, we spotlight the new Single-Cell V(D)J Solution, which can be used in conjunction with single-cell transcriptome profiling to identify pairing of full-length BCR and TCR sequences.
Presentation: Optimized Workflows for Single-Cell RNA-Seq
Learn how GENEWIZ’s single-cell workflows help customers more easily prepare samples and achieve the highest quality results from their sequencing projects. With our methods for cryopreservation and dead cell removal, we provide flexibility and convenience to scientists. This presentation was featured at the Deep Sequencing Forum 2018.
Poster: Highly Multiplexed Single-Cell Transcriptome and Epigenome Profiling of Cryopreserved Tissue Enables Multi-Omic Tissue Characterization in Clinical Settings
Single-cell analysis typically relies upon immediate processing of fresh tissue, presenting limitations for translational and clinical applications. Learn how GENEWIZ’s robust cryopreservation workflow for downstream processing enabled high-quality, single-cell transcriptomic and epigenomic analysis of translational and clinical samples by coupling scATAC-seq and scRNA-seq.