Beyond conventional cell and molecular biology research methods

NGS methods enable global analyses of gene expression and regulation

Cellular & Molecular Biology Research

Traditionally, cell and molecular biology research seeks to understand the function of a single gene, gene family, or signal transduction pathway, often through the disruption or modification of single genes. Researchers use signal-based methods such as microscopy, flow cytometry, and protein blotting and molecular assays such as PCR/qPCR, Sanger sequencing, and gene expression arrays. This approach is time-consuming and does not always result in conclusive findings.

Array and next-generation sequencing (NGS) technologies from Illumina can broaden cell and molecular biology research beyond the conventional methods of protein-interaction and single-gene functional studies. Illumina technology enables analysis across the genome, transcriptome, and epigenome. Results can inform experimental design and subsequent studies, saving time and allowing researchers to publish sooner.

Single-Cell Sequencing Workflow

Single-cell sequencing can reveal the cell types present and how individual cells are contributing to the function of that system.

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Researchers from UCSF discuss MULTI-Seq, a sample barcoding strategy for single-cell and single-nucleus RNA sequencing. The method involves minimal sample processing, thereby preserving cell viability and endogenous gene expression patterns.

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Methods that allow researchers to sequence and detect extracellular proteins in individual cells simultaneously reveal new cell types and states associated with disease.

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Compare the benefits of NGS technology to quantitative PCR and find out which one to choose.

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NGS in Cell Biology Research

See how NGS opens new avenues to exploring and understanding the cellular activity of disease.

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Cellular and Molecular Biology Research Articles

 
Exploring the Tumor Microenvironment
Exploring the Tumor Microenvironment

Single-cell sequencing proves invaluable in detecting intracellular communication in tumors.

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The Weizmann Institute Uses NovaSeq to Drive Single Cell Research
The Weizmann Institute Uses NovaSeq to Drive Single-Cell Research

By analyzing one cell at a time, Professor Amit is improving our understanding of biological systems in health and disease.

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Identifying Breast Cancer Targets Using High-Throughput NGS
Identifying Breast Cancer Targets Using High-Throughput NGS

The Breast Cancer Atlas Project is sequencing more than a million breast cancer cells with the NovaSeq 6000 System.

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A computer scientist is expanding the reach of scRNA-Seq data through new open source technologies.

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Single-Cell Analysis is Fueling New Discoveries in Developmental Biology
Single-Cell RNA Sequencing

Explore the distinct biology of individual cells within a complex tissue, or investigate the molecular mechanisms behind subpopulation responses to environmental cues.

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Targeted Resequencing

Focus on sequencing targeted genomic regions of interest, or simultaneously sequence large numbers of genes associated with a disease or phenotype.

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Methylation Analysis

Quantitatively investigate methylation patterns using sequencing- and array-based techniques, and gain valuable insight into gene regulation.

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Genotyping

Explore genetic variants such as single nucleotide polymorphisms (SNPs) and large structural changes in DNA  using genome-wide or targeted approaches.

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Genome Editing

Find out how NGS enables researchers to confirm CRISPR gene knockouts, analyze off-target effects, assess the the functional impact of edits, and more.

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Chromatin Accessibility Analysis

Use ATAC-Seq to assess chromatin accessibility in single cells and uncover how chromatin packaging and other factors affect gene expression.

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Beginner's Guide to Next-Generation Sequencing

Considering bringing next-generation sequencing to your lab, but unsure where to start? These resources cover key topics in NGS and are designed to help you plan your first experiment.

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Beginner's Guide to Next-Generation Sequencing

SureCell Whole Transcriptome Analysis 3' Library Prep Kit: This kit supports transcriptome profiling of hundreds to tens of thousands of single cells in a given experiment.

NextSeq 2000 System: Groundbreaking benchtop sequencers allow you to explore new discoveries across a variety of current and emerging applications, with higher efficiency and fewer restraints.

BaseSpace Sequence Hub Single-Cell RNA-Seq App: Designed for use with the SureCell WTA 3' Library Prep Kit, this app performs cell and gene counting, filtering, and reporting.

AmpliSeq for Illumina Targeted Resequencing Solution: A streamlined, scalable amplicon sequencing solution, producing high-confidence data from low-input DNA and RNA samples.

Infinium Global Screening Array: A next-generation genotyping array for population-scale genetics, variant screening, pharmacogenomics studies, and precision medicine research.

MethylationEPIC BeadChip: Robust methylation profiling microarray with extensive coverage of CpG islands, genes, and enhancers. Use for epigenome-wide association studies.

From Genotype to Phenotype

Dr Lachlan Jolly discusses insights into gene function in cell models of brain development.

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The Singular Neuron - Understanding Complex Biology One Cell at a Time
The Singular Neuron - Understanding Complex Biology One Cell at a Time

Learn how single-cell RNA sequencing can be used to understand how individual cells function in their microenvironment.

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Chan Zuckerberg Biohub and the NovaSeq System
Chan Zuckerberg Biohub and the NovaSeq System

The Chan Zuckerberg Biohub uses the NovaSeq System to conduct innovative experiments in genomics.

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Cellular Research Review
Cellular Research Review

This review highlights recent publications that used Illumina technology for single-cell sequencing.

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Single-Cell RNA Sequencing of Peripheral Blood Mononuclear Cells
Single-Cell RNA Sequencing of Peripheral Blood Mononuclear Cells

Gain insight into how individual cells contribute to the function of a complex tissue such as peripheral blood.

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Simple, Customized RNA-Seq Workflows
Simple, Customized RNA-Seq Workflows

Evaluating RNA sequencing options for cellular and molecular biology research including single-cell RNA sequencing

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Software Tools to Simplify Data Analysis
Software Tools to Simplify Data Analysis

Illumina bioinformatics tools can help researchers manage, analyze, and interpret genomic data.

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Single-Cell Sequencing on the NovaSeq 6000 System
Single-Cell Sequencing on the NovaSeq 6000 System

This scalable, robust, single-cell NGS methodology enables routine transcriptome profiling at single-cell resolution.

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Mapping Neural Diversity with Single-Cell RNA-Seq
Mapping Neural Diversity with Single-Cell RNA-Seq

The ability to analyze gene expression signatures from individual cells is transforming the way neurons are classified.

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