A highly sensitive method for measuring gene expression from single cells Generating RNA-Seq libraries from single cell and ultra-low-input samples

A highly sensitive method for measuring gene expression from single cells Generating RNA-Seq libraries from single cell and ultra-low-input samples

Complex biological systems are determined by the coordinated functions of individual cells. Conventional methods that provide bulk genome or transcriptome data are unable to reveal the cellular heterogeneity that drives this complexity. Single-cell sequencing is a next-generation sequencing (NGS) method that examines the genomes or transcriptomes of individual cells, providing a high-resolution view of cell-to-cell variation.

Highly sensitive ultra-low-input and single-cell RNA sequencing (RNA-Seq) methods enable researchers to explore the distinct biology of individual cells in complex tissues and understand cellular subpopulation responses to environmental cues. These assays enhance the study of cell function and heterogeneity in time-dependent processes such as differentiation, proliferation, and tumorigenesis

Single-Cell Sequencing and Analysis Workflow

Single-cell sequencing can reveal the cell types present and how individual cells are contributing to the function of complex biological systems. See how you can use the Illumina workflow for single-cell sequencing, from tissue preparation through analysis.

Single-Cell RNA-Seq is Advancing Insights in Developmental Biology

Cole Trapnell, PhD, is the principal developer of TopHat, Cufflinks, and other widely used bioinformatics tools. He shared with us his views on the importance of understanding cell lineage, his lab's experience with single-cell RNA sequencing, and his application of combinatorial indexing.

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Single-Cell Research Review

See an overview of peer-reviewed publications using Illumina technology for single-cell sequencing.

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Advantages of Single-Cell RNA-Seq

Single-cell and ultra-low-input RNA-Seq are powerful tools for studying the transcriptome in an unbiased manner from minimal input.

• Robust transcriptome analysis down to single-cell input levels for high-quality samples
• Integrated protocol proceeds directly from whole cells and preserves sample integrity
• High resolution analysis enables discovery of cellular differences usually masked by bulk sampling methods

Considerations, Trends and Future of Single-Cell Sequencing

From Crohn's disease and peanut alergies to cell therapies and immunotherapies, the lab at NIHR Guys' and St. Thomas' Biomedical Research Centre is using Illumina technology for single-cell genomics investigations.

Single-Cell RNA Sequencing in Immunotherapy Research

Swetha Anandhan from the MD Anderson Cancer Center joins Illumina and 10x Genomics for this webinar. She highlights the use of single cell RNA-sequencing to identify a unique population of macrophages in glioblastoma multiforme that persists after treatment with immune checkpoint inhibitors.