Microbes living in the host can influence cancer progression and treatment efficacy. Diet and drugs can disrupt microbiome diversity, and key species in the microbiome can cause local or systemic influences on host immunity.1,2
There is hope that future treatments may combine existing cancer therapies with methods to encourage growth of beneficial microbes or eliminate harmful ones. As NGS-based research continues to explore host-microbiome interactions, Illumina strives to evolve genomic technologies that complement and enable the promise of this field.
NGS methods have revolutionized the study of the microbiome.3 Without the need to culture or clone individual organisms, NGS enables simultaneous analysis of thousands of species within a microbial community. With the development of bioinformatic tools to manage large volumes of new information, this shift from single organism analysis enables accurate assessment of species diversity and measurement of dynamic fluctuations in microbial communities.
Researchers at Microba are investigating the genomes of microbes to improve our understanding of human health, disease, and microbial evolution.Read Interview
10x Multiomics Tech Note (ATAC-Seq + RNA) This single-cell multiomics protocol enables simultaneous profiling of gene expression and chromatin accessibility from single cells to help reveal cellular mechanisms driving gene regulation, including gene expression differences in healthy and disease states. This technical note outlines a protocol for simultaneous profiling of the transcriptome (using 3' gene expression) and epigenome (using ATAC-Seq; assay for transposase-accessible chromatin with sequencing) from single cells. [ Read Technical Note ] BioLegend BEN-Seq App Note (RNA & protein) In this paper, we demonstrate how to incorporate protein detection into bulk RNA-Seq and develop a workflow for BEN-Seq. The ability to measure protein expression via sequencing at a single-cell level unifies flow cytometry and RNA-Seq, providing a holistic approach to cell analysis. [ Read App Note ]
With high throughput and high sensitivity, NGS enables the identification of thousands of microbial species in a single sample.
Click on the below to view products for each workflow step.
Streamlined, cost-efficient, and scalable solution for total RNA analysis.Nextera XT Library Prep Kit
Prepare sequencing ready libraries of bacteria, viruses, and other microbes to analyze transcriptome and metatranscriptome information.
Simple, all-inclusive library preparation for whole-genome sequencing applications. Researchers can sequence a wide variety of organisms, from small genomes such as bacteria to whole-human genomes.
Speed, accuracy and simplicity for far reaching applications in microbiology.NextSeq Series
Flexible desktop sequencer for transcriptome and whole-genome sequencing.
Power for high-throughput microbial transcriptomics and flexibility to scale based on your project or workflow needs.HiSeq 4000 System
High throughput and low cost for production-scale genomics.
Performs taxonomic classification of 16S rRNA targeted amplicon reads using an Illumina-curated version of the GreenGenes taxonomic database.MetaPhlAn
The Metagenomic Phylogenetic Analysis (MetaPhlAn) tool profiles microbial community composition from metagenomic shotgun sequencing data.