TECHNOLOGY

OUTLINE

Challenges facing
microbial genomics

Genome is basic information to determine the specific properties of the organism.
Genome sequencing allow us to identify genes of unknown microorganisms and estimate their functions and taxonomies.
Conventional microbial genomics depends on cell isolation from environment and cultivation in laboratory.
However, more than 99 percent of microorganisms on the earth are uncultivable and have eluded such research efforts, remaining as yet-to-be-defined biological resources.

微生物のゲノム解析の課題

Single-cell genomics offers
a breakthrough

bitBiome has developed whole-genome sequencing technique from single-cell.
This innovative technology allows us to obtain genome information on a variety of microorganisms that no one has ever obtained.
The newly obtained genomic data can be applied to the identification of gut microbiota that promote human health,
the search for new microorganisms that produce antibiotics and industrial enzymes,
and the development of companion diagnostic drugs and other pharmaceuticals.

微生物のゲノム解析の課題

ADVANTAGE

FOUCS FOUCS

Pinpoint analysis
for individual microbes

Conventional metagenomics analyzes microbial sample as complex microbial community so that it tends to be unsuitable for determining microbial functions at single-cell level.
bitBiome’s technologies has overcome this limitation, enabling individualized analyses of selected microorganisms, clarifying relevant functions, and providing other information essential for your targets.

INSIGHT INSIGHT

Discovery of microbes
that influence disease
and metabolic processes

Our single-cell genomics can provide the genetic information from individual microbes.
By single-cell microbial genomics, we can identify important pathogens, specific producers of useful substances from complex microbial community.

and
  • 診断マーカーの開発 診断マーカーの開発 Develop diagnostic markers
  • 薬剤候補物質の発見 薬剤候補物質の発見 Discover pharmaceutical candidate substances
  • 薬剤ターゲットの発見 薬剤ターゲットの発見 Discover medicinal targets
  • 薬剤を作る微生物の発見 薬剤を作る微生物の発見 Discover microbes that produce medicinal substances

DETAIL

Precision manipulation of individual microbial cells

With our techniques, individual microorganisms are encapsulated in small capsules to be extracted their genome.
This process is massively parallelized to exponentially amplify genomes from numerous microbial species.

Precision manipulation of individual microbial cells Precision manipulation of individual microbial cells

Massively parallel whole genome amplification for single-cell sequencing using droplet microfluidics. Hosokawa M. et al. Scientific reports, 7, 5199, 2017

Pipeline for higher-accuracy single-cell genome sequence data

bitBiome owns data-processing technologies that remove errors from sequence data to improve data reading accuracy.
These technologies can significantly increase analysis accuracy with regard to microbial functions.

Pipeline for higher-accuracy single-cell genome sequence data Pipeline for higher-accuracy single-cell genome sequence data

Obtaining high-quality draft genomes from uncultured microbes by cleaning and co-assembly of single-cell amplified genomes.
Kogawa M. et al. Scientific reports, 8, 2059, 2018

OUTPUT

系統解析
系統解析

Phylogenetic analysis

Phylogenetic classification of microorganisms using genomic information

微生物叢組成解析
微生物叢組成解析

Microbiota composition analysis

Cell count breakdown offered for microbiota samples

遺伝子パスウェイ解析
遺伝子パスウェイ解析

Genetic pathway analysis

Prediction of genetic clusters, functions, and pathways

変異株解析
変異株解析

Variant analysis

Mutation detection at single-cell level

STRENGTH

bitBiome’s single-cell genomics is developed based on a different concept from 16S rRNA sequencing and shotgun metagenome analysis. Combined with these conventional approaches, our innovative technology can significantly increase analysis output, both in quality and quantity.

Amplicon
metagenomics
Shotgun
metagenomics
bitBiome
single-cell genomics
Information Who is There? Who is there and
what are they doing?
Relationship between
species and function
Target Partial 16S rRNA genes Fragmented
community genome
Individual genomes and plasmid
Microbial composition analysis
Gene analysis
Functional analysis
Variant analysis