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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Empowering Single-Cell and Spatial Experiments with Sample Multiplexing

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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Protein Detection by Sequencing: Towards a Definitive Cellular Phenotype

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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Quality Control for Single-Cell Sequencing Experiments

Learn best practices for preparing cell suspensions with sample preparation solutions from Miltenyi Biotec.

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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
COVID-19 Host Risk and Response

Understanding host genetic differences and individual responses to the SARS-CoV-2 virus increases understanding of disease susceptibiliity and severity. Read more about the methods for host risk & immune response studies.

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Understanding COVID-19 host risk and response
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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NextSeq 1000 and 2000 Single-Cell RNA Sequencing System: The NextSeq 1000 and NextSeq 2000 Systems support emerging and mid-throughput sequencing applications as well as a broad range of methods such as exome sequencing, target enrichment, sincle-cell profiling, transcriptome sequencing and more.

App Note: NextSeq 1000 and 2000 Single-Cell RNA Sequencing Solution: This cost-effective, flexible workflow measures gene expression in single cells and offers high-resolution analysis to discover cellular differences usually masked by bulk sampling methods. This app note outlines the workflow, provides example study designs and throughput charts, and more.

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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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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Resolve whole transcriptome within tissue architecture with 10x Genomics
Resolve whole transcriptome within tissue architecture with 10x Genomics
Mapping the full transcriptome from tissue sections while retaining morphological context
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High-throughput spatial transcriptomics of complex tissues with Nanostring
High-throughput spatial transcriptomics of complex tissues with Nanostring
Discover high-plexity spatial technologies for gene and protein profiling
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Connecting single-cell gene expression and chromatin accessibility
Connecting single-cell gene expression and chromatin accessibility
A protocol for simultaneous profiling of the transcriptome and epigenome from single cells with 10x Genomics
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NextSeq 1000 & NextSeq 2000 single-cell RNA sequencing
NextSeq 1000 & NextSeq 2000 single-cell RNA sequencing
A cost-effective, flexible workflow for measuring gene expression in single cells
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High-plex spatial proteogenomics of FFPE tissue sections with Nanostring
High-plex spatial proteogenomics of FFPE tissue sections with Nanostring
Revealing the tissue architecture of astrocytoma and glioblastoma
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Workflows for RNA Sequencing Guide
Workflows for RNA Sequencing Guide

Learn about Illumina solutions for next-generation RNA sequencing applications.

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Probe the immune system at single-cell resolution with 10x Genomics
Probe the immune system at single-cell resolution with 10x Genomics
A multiomic approach to determine how the adaptive immune system functions
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Correlating the expression of protein and RNA with BioLegend
Correlating the expression of protein and RNA with BioLegend
Learn more about single-cell sequencing technologies that combine analysis of RNA and protein
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Multiplex high-throughput proteomics with Olink
Multiplex high-throughput proteomics with Olink
Detecting ~3000 proteins simultaneously from various sample types with low input volume
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Exploring transcriptome with single‑cell resolution with 10x Genomics
Exploring transcriptome with single‑cell resolution with 10x Genomics
Enabling research to tease apart cellular heterogeneity in complex samples
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Enabling single-cell proteomics using TotalSeq-A and NGS
Enabling single-cell proteomics using TotalSeq-A and NGS
Optimizing use of BioLegend TotalSeq antibodies
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