RNA SEQUENCING

 

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.

Azenta Life Sciences 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.

 

WORKBOOK

Exploring Bioinformatics for Genomic and Transcriptomic Sequencing Data

A gateway into the world of bioinformatics

  • Discover what tools you'll need for
    bioinformatics analysis
  • Explore helpful resources to perform more in-depth exploration
  • Follow step-by-step instructions on how to analyze data

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RNA Sequencing Services

Single-Cell RNA-Seq

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-Seq

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) or immunoprecipitation (RIP-Seq).

Iso-Seq

Iso-Seq (isoform sequencing) reads full-length contiguous transcripts. Applications include genome annotation, gene fusion detection, novel transcript discovery, and alternative splicing analysis.


Standard RNA-Seq

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-Seq

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-Seq

Small RNA sequencing enables analysis of miRNA and other small RNA species. Provides small RNA discovery and profiling.


CLIA RNA-Seq

RNA-Seq services performed in a CAP/CLIA laboratory for clinical applications. Custom CLIA validations for specific assays.

 

Unsure of the best RNA-Seq solution for your project?

Use our step-by-step guide

 


Find the right NGS solution for your project using our interactive guide.



WORKSHOP & ROUNDTABLE DISCUSSION

Exploring Bioinformatics for
Single-Cell Sequencing Data




 

Features & Benefits

Highly Scalable

Submit one to hundreds of samples

Flexible Data Amounts

Starting at 10M paired end reads

Latest Platforms

Illumina® NovaSeq™ delivers the highest throughput

European Provider

Sequencing available at our lab in Leipzig, Germany


Superior data quality with a guarantee of ≥80% bases with ≥Q30 for 2x150 bp sequencing (>90% on average)

Industry-leading turnaround time as fast as 1 week

Dedicated support from Ph.D.-level project managers at every step including post-delivery support

Complete sample-to-analysis solutions including flexible extraction and data analysis options available

Technical Resources

Technical Specifications

Example Data

Sample Submission Guidelines

Frequently Asked Questions

GENEWIZ Citations

Tech Note | Full-Length RNA-Seq: A Novel Method to Assess Sequence Integrity for RNA Therapeutics

Strict quality control is required to maintain the integrity of manufactured products for RNA therapies, but current assays often present limitations. Learn how the novel full-length RNA-Seq approach from Azenta allows you to preserve the entire length of and effectively sequence the poly(A) tails of your mRNA products.

Workbook | Exploring Bioinformatics for Genome and Transcriptome Sequencing Data

For those new to bioinformatics, analyzing massive amounts of NGS data can be a daunting task. Download Azenta’s bioinformatics workbook to learn how to analyze whole genome sequencing (WGS) and RNA sequencing (RNA-Seq) data with bioinformatics tools to reveal biological insights for your research.

Webinar| Non-Classical Sources of Tumour-Specific Antigen in Checkpoint Inhibitor Response

Developing immunotherapies for cancer can be difficult due to the variation of immune response from patient to patient. In this webinar, Dr. Litchfield from UCL Cancer Institute presents his team’s exploratory research using a multiomics approach to better understand the diversity of immune response to cancer and highlights their findings of an alternative source of a tumour-specific antigen in checkpoint inhibitor (CPI) response.

Webinar Series | Advancing Transcriptomics: Gene Expression Screening, Single-Cell RNA-Seq, and Beyond

With this two-part webinar series, go beyond traditional transcriptomics and learn about the various NGS approaches available for gene expression analysis. In part 1, we take an in-depth look at various gene expression approaches, including RNA-Seq, single-cell RNA-Seq, digital spatial profiling, and more. In part 2, we explore the data generated from these approaches and how they can complement each other and confirm findings.

RNA-Seq Bioinformatics Workshop & Roundtable Discussion

RNA-Seq bioinformatics can be complex and difficult to decipher. To help make it more approachable, this workshop and roundtable discussion, led by Azenta Life Sciences' bioinformatics manager Brian Sereni, explores the bioinformatics pipeline, explains NGS results, and addresses common challenges and FAQs for RNA-Seq bioinformatics analysis.

Dead Cell Removal

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 Azenta scientists used optimized single-cell workflows, including dead cell removal, to overcome low viability and generate high-quality sequencing data.

Case Study: Uncovering Cell Type-Specific Expression Profiles in the Tumor Microenvironment with Ultra-Low Input RNA-Seq

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.

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.

Tech Note: Isoform Sequencing on the PacBio Sequel® – Maximizing Output and Accuracy

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 Azenta’s optimized workflow, and how this increases output and accuracy.

Webinar: Towards High Dimensional Sequencing: From Single-Cell to Spatial Omics

In comparison to traditional profiling methods which assess bulk populations, single-cell technologies empower researchers to examine diversity of heterogeneous cell populations and uncover new, and potentially unexpected, biological discoveries. This webinar highlights the unparalleled capabilities of single-cell sequencing.

Article: Which RNA-Seq Technique Should I Use?

With so many RNA sequencing assay types to choose from, how do you know which is best suited for your NGS project? In this article, we discuss the most common RNA-Seq approaches and what factors to consider when selecting the right one.

Tech Note: Achieving Phenotypic Profiling for Rapid Drug Discovery with High-Throughput Gene Expression Screening

High-throughput technologies are critical in performing phenotypic profiling for drug discovery applications. In this tech note, Azenta Life Sciences discusses the challenges associated with traditional approaches, such as microarrays and RNA sequencing, and offers an optimized assay to achieve high-quality phenotypic profiling at a reduced cost for rapid drug discovery.

Blog | NGS, qPCR, or Sanger Sequencing: An Assay Selection Guide

This selection guide offers practical information about PCR + Sanger, qPCR, and NGS approaches to help you determine which assay best suits your project requirements, along with an interactive assay selection tool to aid your decision making.

Blog | Fine-Tuning mRNA Structure for Better mRNA Therapies

The structure of mRNA has been known for decades, but only in recent years have researchers unlocked its potential for therapeutic development. With the right delivery vehicle, mRNA products can replace defective proteins in the cell, generate antigens for immunization (e.g., COVID vaccines), or edit the genome via CRISPR technology. Let’s review the structural features of a functional mRNA molecule and discuss how to optimize these for therapeutic applications.

NGS PLATFORMS

ILLUMINA® NOVASEQ™/HISEQ®

PACBIO® SEQUEL®

10X GENOMICS® CHROMIUM™



How To Order


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